MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
Shi Han
SR. Principal Research Manager
출판물
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP '25) | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
Artificial Intelligence and Statistics 2025 | May 2025
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, 제 252 권
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Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
COLING-LREC'2024 | May 2024
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
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CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
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Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
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Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
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Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
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ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
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ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'22) | August 2022
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
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Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
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FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
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TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
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GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
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On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
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CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
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Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
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Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
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TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
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On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
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Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
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MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
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LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
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Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
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CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
글쓴이 Microsoft
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
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Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
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Precise Condition Synthesis for Program Repair
Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang
ICSE '17 Proceedings of the 39th International Conference on Software Engineering | May 2017
ISBN: 978-1-5386-3868-2
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Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17) | May 2017
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Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
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Uncovering JavaScript Performance Code Smells Relevant to Type Mutations
Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang
Proceedings of the 13th Asian Symposium on Programming Languages and Systems (APLAS 2015) | November 2015
ISBN: 978-3-319-26528-5
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Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
ASPLOS 2014 | March 2014
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Software Analytics in Practice
Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie
IEEE Software, Special Issue on the Many Faces of Software Analytics | October 2013
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Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
ISSTA 2013 | July 2013
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Performance Debugging in the Large via Mining Millions of Stack Traces
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
June 2012
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Teaching and Training for Software Analytics
Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training (CSEE&T 2012) | April 2012
ISBN: 978-1-4673-1592-0
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Software Analytics as a Learning Case in Practice: Approaches and Experiences
Dongmei Zhang, Yingnong Dang, Jian-Guang Lou, Shi Han, Haidong Zhang, Tao Xie
November 2011
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A Unified Framework for Recognizing Handwritten Chemical Expressions
Ming Chang, Shi Han, Dongmei Zhang
Proceedings of the 10th International Conference on Document Analysis and Recognition (ICDAR 2009) | July 2009
ISBN: 978-0-7695-3725-2
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Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters
Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007) | September 2007
ISBN: 978-0-7695-2822-9
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Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
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Super-Resolution of 3D Face
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 9th European Conference on Computer Vision (ECCV 2006) | May 2006
ISBN: 3-540-33834-9
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3D Face Recognition using Mapped Depth Images
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 2005 IEEE Workshop on Face Recognition Grand Challenge (FRGC 2005), in conjunction with CVPR 2005 | September 2005
ISBN: 0-7695-2372-2
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP '25) | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
Artificial Intelligence and Statistics 2025 | May 2025
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, 제 252 권
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Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
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CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
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HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
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Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
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Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
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ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
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pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'22) | August 2022
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
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PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
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TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
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FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
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On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
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CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
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Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
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Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
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TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
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Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
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Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
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Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
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A Unified Framework for Recognizing Handwritten Chemical Expressions
Ming Chang, Shi Han, Dongmei Zhang
Proceedings of the 10th International Conference on Document Analysis and Recognition (ICDAR 2009) | July 2009
ISBN: 978-0-7695-3725-2
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Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters
Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007) | September 2007
ISBN: 978-0-7695-2822-9
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Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, 제 252 권
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KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
COLING-LREC'2024 | May 2024
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
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Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
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PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
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TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
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MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
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Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17) | May 2017
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP '25) | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
-
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
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FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
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CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP '25) | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
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CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
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On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
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Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
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LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
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CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
글쓴이 Microsoft
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
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Precise Condition Synthesis for Program Repair
Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang
ICSE '17 Proceedings of the 39th International Conference on Software Engineering | May 2017
ISBN: 978-1-5386-3868-2
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Uncovering JavaScript Performance Code Smells Relevant to Type Mutations
Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang
Proceedings of the 13th Asian Symposium on Programming Languages and Systems (APLAS 2015) | November 2015
ISBN: 978-3-319-26528-5
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Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
ASPLOS 2014 | March 2014
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Software Analytics in Practice
Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie
IEEE Software, Special Issue on the Many Faces of Software Analytics | October 2013
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Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
ISSTA 2013 | July 2013
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Performance Debugging in the Large via Mining Millions of Stack Traces
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
June 2012
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Teaching and Training for Software Analytics
Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training (CSEE&T 2012) | April 2012
ISBN: 978-1-4673-1592-0
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Software Analytics as a Learning Case in Practice: Approaches and Experiences
Dongmei Zhang, Yingnong Dang, Jian-Guang Lou, Shi Han, Haidong Zhang, Tao Xie
November 2011
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
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Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
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Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
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Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
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Super-Resolution of 3D Face
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 9th European Conference on Computer Vision (ECCV 2006) | May 2006
ISBN: 3-540-33834-9
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3D Face Recognition using Mapped Depth Images
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 2005 IEEE Workshop on Face Recognition Grand Challenge (FRGC 2005), in conjunction with CVPR 2005 | September 2005
ISBN: 0-7695-2372-2
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP '25) | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL '25) | July 2025
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Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
Artificial Intelligence and Statistics 2025 | May 2025
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
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Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
COLING-LREC'2024 | May 2024
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
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Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
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Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
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Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
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ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
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pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'22) | August 2022
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
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PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
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TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
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Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
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FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
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On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
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CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
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Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
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Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
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TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
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On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
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Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
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MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
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LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
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Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE'18) | September 2018
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Precise Condition Synthesis for Program Repair
Yingfei Xiong, Jie Wang, Runfa Yan, Jiachen Zhang, Shi Han, Gang Huang, Lu Zhang
ICSE '17 Proceedings of the 39th International Conference on Software Engineering | May 2017
ISBN: 978-1-5386-3868-2
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Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17) | May 2017
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Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
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Uncovering JavaScript Performance Code Smells Relevant to Type Mutations
Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang
Proceedings of the 13th Asian Symposium on Programming Languages and Systems (APLAS 2015) | November 2015
ISBN: 978-3-319-26528-5
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Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
ASPLOS 2014 | March 2014
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Software Analytics in Practice
Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie
IEEE Software, Special Issue on the Many Faces of Software Analytics | October 2013
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Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
ISSTA 2013 | July 2013
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Performance Debugging in the Large via Mining Millions of Stack Traces
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
June 2012
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Teaching and Training for Software Analytics
Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie
Proceedings of the 25th IEEE Conference on Software Engineering Education and Training (CSEE&T 2012) | April 2012
ISBN: 978-1-4673-1592-0
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Software Analytics as a Learning Case in Practice: Approaches and Experiences
Dongmei Zhang, Yingnong Dang, Jian-Guang Lou, Shi Han, Haidong Zhang, Tao Xie
November 2011
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A Unified Framework for Recognizing Handwritten Chemical Expressions
Ming Chang, Shi Han, Dongmei Zhang
Proceedings of the 10th International Conference on Document Analysis and Recognition (ICDAR 2009) | July 2009
ISBN: 978-0-7695-3725-2
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Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters
Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007) | September 2007
ISBN: 978-0-7695-2822-9
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Automatic Real-Time Barcode Localization in Complex Scenes
Chunhui Zhang, Jian Wang, Shi Han, Mo Yi, Zhengyou Zhang
Proceedings of the International Conference on Image Processing (ICIP 2006) | October 2006
ISBN: 1-4244-0480-0
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Super-Resolution of 3D Face
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 9th European Conference on Computer Vision (ECCV 2006) | May 2006
ISBN: 3-540-33834-9
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3D Face Recognition using Mapped Depth Images
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
Proceedings of the 2005 IEEE Workshop on Face Recognition Grand Challenge (FRGC 2005), in conjunction with CVPR 2005 | September 2005
ISBN: 0-7695-2372-2
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FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, 제 252 권
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CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
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Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
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CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
글쓴이 Microsoft
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