Shi Han

SR. Principal Research Manager

论文与出版物

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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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  September 2025
  
  Publication
- 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
  
  Preprint 项目
- 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
  
  Preprint 项目
- 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
  
  Publication
- 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
  
  Preprint 项目
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint 项目
- 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, 第 252 卷
  
  Publication
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Preprint 项目
- 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
  
  DOI
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Preprint
- 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
  
  Publication
- pureGAM: Learning an Inherently Pure Additive Model
  
  Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication
- 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
  
  Preprint
- 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
  
  项目
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF DOI 项目
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Author's Version 项目
- 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
  
  Publication Author's Version 项目项目
- 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
  
  Preprint Publication
- 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
  
  Publication Publication
- 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
  
  Publication 项目
- 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
  
  DOI 项目
- 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
  
  DOI 项目
- 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
  
  作者：Microsoft
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  PDF 项目
- 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
  
  Publication 项目
- 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
  
  Publication DOI 项目
- 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
  
  Publication 项目
- 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
  
  Author's Version DOI 项目
- 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
  
  PDF DOI 项目
- 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
  
  Publication
- 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
  
  论文与出版物论文与出版物论文与出版物
- 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
  
  PDF DOI 项目
- 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
  
  Publication
- 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
  
  论文与出版物论文与出版物
- Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
  
  Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
  
  ASPLOS 2014 | March 2014
  
  论文与出版物
- 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
  
  论文与出版物
- Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
  
  Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
  
  ISSTA 2013 | July 2013
  
  论文与出版物
- Performance Debugging in the Large via Mining Millions of Stack Traces
  
  Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
  
  June 2012
  
  论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物

- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Preprint 项目
- 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
  
  Preprint 项目
- 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
  
  Publication
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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, 第 252 卷
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Preprint 项目
- 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
  
  DOI
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Preprint
- pureGAM: Learning an Inherently Pure Additive Model
  
  Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  项目
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF DOI 项目
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Author's Version 项目
- 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
  
  Preprint Publication
- 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
  
  Publication 项目
- 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
  
  DOI 项目
- 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
  
  DOI 项目
- 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
  
  Publication 项目
- 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
  
  PDF 项目
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication DOI 项目
- 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
  
  Publication 项目
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  September 2025
  
  Publication
- 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
  
  Preprint 项目
- 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
  
  Preprint 项目
- 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
  
  Preprint 项目
- 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
  
  PDF Preprint 项目
- 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, 第 252 卷
  
  Publication
- 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
  
  Publication 项目
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Preprint 项目
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  PDF Preprint 项目
- 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
  
  项目
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  PDF DOI 项目
- 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
  
  Publication 项目
- 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
  
  Publication Author's Version 项目项目
- 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
  
  DOI 项目
- 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
  
  DOI 项目
- 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
  
  Publication 项目
- 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
  
  PDF 项目
- 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
  
  Publication 项目
- 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
  
  Publication DOI 项目
- 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
  
  Author's Version DOI 项目
- 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
  
  PDF DOI 项目
- 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
  
  PDF DOI 项目
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint 项目
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Publication
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  PDF DOI 项目
- 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
  
  Preprint
- 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
  
  Preprint 项目
- 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
  
  Preprint 项目
- 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
  
  PDF Preprint
- 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
  
  PDF DOI 项目
- 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
  
  Preprint 项目
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Author's Version 项目
- 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
  
  Publication Publication
- 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
  
  作者：Microsoft
  
  Publication
- 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
  
  Author's Version DOI 项目
- 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
  
  PDF DOI 项目
- 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
  
  论文与出版物论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
  
  Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
  
  ASPLOS 2014 | March 2014
  
  论文与出版物
- 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
  
  论文与出版物
- Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
  
  Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
  
  ISSTA 2013 | July 2013
  
  论文与出版物
- Performance Debugging in the Large via Mining Millions of Stack Traces
  
  Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
  
  June 2012
  
  论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Publication Publication
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物

- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Preprint 项目
- 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
  
  Preprint 项目
- 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
  
  Publication
- 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
  
  Preprint 项目
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint 项目
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Preprint 项目
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Preprint 项目
- 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
  
  PDF Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Preprint
- pureGAM: Learning an Inherently Pure Additive Model
  
  Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  项目
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF DOI 项目
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication
- 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
  
  Author's Version 项目
- 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
  
  Publication Author's Version 项目项目
- 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
  
  Preprint Publication
- 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
  
  Publication Publication
- 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
  
  Publication 项目
- 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
  
  DOI 项目
- 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
  
  DOI 项目
- 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
  
  Publication 项目
- 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
  
  PDF 项目
- 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
  
  Publication
- 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
  
  Publication 项目
- 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
  
  Publication DOI 项目
- 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
  
  Publication 项目
- 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
  
  Author's Version DOI 项目
- 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
  
  PDF DOI 项目
- 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
  
  论文与出版物论文与出版物论文与出版物
- 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
  
  PDF DOI 项目
- 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
  
  Publication
- 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
  
  论文与出版物论文与出版物
- Comprehending Performance from Real-World Execution Traces: A Device-Driver Case
  
  Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie
  
  ASPLOS 2014 | March 2014
  
  论文与出版物
- 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
  
  论文与出版物
- Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks
  
  Xusheng Xiao, Shi Han, Tao Xie, Dongmei Zhang
  
  ISSTA 2013 | July 2013
  
  论文与出版物
- Performance Debugging in the Large via Mining Millions of Stack Traces
  
  Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
  
  June 2012
  
  论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  论文与出版物论文与出版物
- 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
  
  September 2025
  
  Publication
- 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, 第 252 卷
  
  Publication
- 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
  
  DOI
- 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
  
  Publication
- 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
  
  作者：Microsoft
  
  Publication

Shi Han

论文与出版物

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance

Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning

Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search

TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models

TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models

Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

FXAM: A unified and fast interpretable model for predictive analytics

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior

KET-QA: A Dataset for Knowledge Enhanced Table Question Answering

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees

Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines

HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion

XInsight: eXplainable Data Analysis Through The Lens of Causality

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks

CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement

Homophily-oriented Heterogeneous Graph Rewiring

Robust Mid-Pass Filtering Graph Convolutional Networks

ML4C: Seeing Causality Through Latent Vicinity

FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information

Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems

Neuron with Steady Response Leads to Better Generalization

ML4S: Learning Causal Skeleton from Vicinal Graphs

pureGAM: Learning an Inherently Pure Additive Model

TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks

Accelerating Code Search with Deep Hashing and Code Classification

FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation

PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation

TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily

On the Evaluation of Neural Code Summarization

CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search

Neuron Campaign for Initialization Guided by Information Bottleneck Theory

Table2Charts: Recommending Charts by Learning Shared Table Representations

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

On the Evaluation of Commit Message Generation Models: An Experimental Study

Semantic Table Structure Identification in Spreadsheets

MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective

LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries

Structure-aware Pre-training for Table Understanding with Tree-based Transformers

Neural Formatting for Spreadsheet Tables

Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture

CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs

Reliable and Efficient Anytime Skeleton Learning

Reliable and Efficient Anytime Skeleton Learning

Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data

Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture

QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data

TableSense: Spreadsheet Table Detection with Convolutional Neural Networks

Automated Refactoring of Nested-IF Formulae in Spreadsheets

Expandable Group Identification in Spreadsheets

Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems

Precise Condition Synthesis for Program Repair

Extracting Top-K Insights from Multi-dimensional Data

Systematically Debugging IoT Control System Correctness for Building Automation

Uncovering JavaScript Performance Code Smells Relevant to Type Mutations

Comprehending Performance from Real-World Execution Traces: A Device-Driver Case

Software Analytics in Practice

Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks

Performance Debugging in the Large via Mining Millions of Stack Traces

Teaching and Training for Software Analytics

Software Analytics as a Learning Case in Practice: Approaches and Experiences

A Unified Framework for Recognizing Handwritten Chemical Expressions

Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters

Automatic Real-Time Barcode Localization in Complex Scenes

Super-Resolution of 3D Face

3D Face Recognition using Mapped Depth Images