Justin Ding

Principal Researcher

출판물

자료 보기:

- Generalization of RLVR Using Causal Reasoning as a Testbed
  
  Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
  
  December 2025
  
  Publication
- 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
- 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
  
  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
- 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 프로젝트
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 2023
  
  Publication
- Causality-Based Visual Analysis of Questionnaire Responses
  
  Renzhong Li, Weiwei Cui, Tianqi Song, Xiao Xie, Rui Ding, Yun Wang, Haidong Zhang, Hong Zhou, Yingcai Wu
  
  October 2023
  
  Publication Author's Version DOI
- 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
- 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
- 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
- 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 프로젝트 프로젝트
- 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
- 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 프로젝트
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 제 24 권: pp. 905-941
  
  Publication
- 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 프로젝트
- YADING: Fast Clustering of Large-Scale Time Series Data
  
  Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
  
  August 2015
  
  출판
- Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  USENIX ATC | July 2015
  
  Publication
- Correlating Events with Time Series for Incident Diagnosis
  
  Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
  
  SigKDD'14 | July 2014
  
  Publication
- Identifying Recurrent and Unknown Performance Issues
  
  Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
  
  ICDM | July 2014
  
  Publication
- Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  DSN | July 2014
  
  Publication
- Where Do Developers Log? An Empirical Study on Logging Practices in Industry
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2014 | July 2014
  
  Publication
- Software Analytics for Incident Management of Online Services: An Experience Report
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  ASE | November 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ... | July 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, Jian-Guang Lou, Qingwei Lin 林庆维, Rui Ding, Dongmei Zhang, Tao Xie
  
  MSR 2013 | May 2013
  
  출판
- Healing Online Service Systems via Mining Historical Issue Repositories
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  ASE 2012 | July 2012
  
  Publication
- Performance Issue Diagnosis for Online Service Systems
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
  
  Publication

- Generalization of RLVR Using Causal Reasoning as a Testbed
  
  Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
  
  December 2025
  
  Publication
- 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
- 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
  
  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
- 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 프로젝트
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 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
- 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
- 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
- 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
- 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 프로젝트
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 제 24 권: pp. 905-941
  
  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, 제 252 권
  
  Publication
- 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 프로젝트
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 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
- 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 프로젝트 프로젝트
- 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 프로젝트
- 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 프로젝트
- Causality-Based Visual Analysis of Questionnaire Responses
  
  Renzhong Li, Weiwei Cui, Tianqi Song, Xiao Xie, Rui Ding, Yun Wang, Haidong Zhang, Hong Zhou, Yingcai Wu
  
  October 2023
  
  Publication Author's Version DOI
- 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 프로젝트
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 제 24 권: pp. 905-941
  
  Publication
- YADING: Fast Clustering of Large-Scale Time Series Data
  
  Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
  
  August 2015
  
  출판
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 제 24 권: pp. 905-941
  
  Publication
- Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  USENIX ATC | July 2015
  
  Publication
- Where Do Developers Log? An Empirical Study on Logging Practices in Industry
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2014 | July 2014
  
  Publication
- Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  DSN | July 2014
  
  Publication
- Identifying Recurrent and Unknown Performance Issues
  
  Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
  
  ICDM | July 2014
  
  Publication
- Correlating Events with Time Series for Incident Diagnosis
  
  Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
  
  SigKDD'14 | July 2014
  
  Publication
- Software Analytics for Incident Management of Online Services: An Experience Report
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  ASE | November 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ... | July 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, Jian-Guang Lou, Qingwei Lin 林庆维, Rui Ding, Dongmei Zhang, Tao Xie
  
  MSR 2013 | May 2013
  
  출판
- Healing Online Service Systems via Mining Historical Issue Repositories
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  ASE 2012 | July 2012
  
  Publication
- Performance Issue Diagnosis for Online Service Systems
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
  
  Publication

- Generalization of RLVR Using Causal Reasoning as a Testbed
  
  Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
  
  December 2025
  
  Publication
- 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
- 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
- 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 프로젝트
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 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
- 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
- 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
- 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 프로젝트 프로젝트
- 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
- 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 프로젝트
- 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 프로젝트
- YADING: Fast Clustering of Large-Scale Time Series Data
  
  Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
  
  August 2015
  
  출판
- Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  USENIX ATC | July 2015
  
  Publication
- Where Do Developers Log? An Empirical Study on Logging Practices in Industry
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2014 | July 2014
  
  Publication
- Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  DSN | July 2014
  
  Publication
- Identifying Recurrent and Unknown Performance Issues
  
  Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
  
  ICDM | July 2014
  
  Publication
- Correlating Events with Time Series for Incident Diagnosis
  
  Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
  
  SigKDD'14 | July 2014
  
  Publication
- Software Analytics for Incident Management of Online Services: An Experience Report
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  ASE | November 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ... | July 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, Jian-Guang Lou, Qingwei Lin 林庆维, Rui Ding, Dongmei Zhang, Tao Xie
  
  MSR 2013 | May 2013
  
  출판
- Healing Online Service Systems via Mining Historical Issue Repositories
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  ASE 2012 | July 2012
  
  Publication
- Performance Issue Diagnosis for Online Service Systems
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
  
  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, 제 252 권
  
  Publication
- Causality-Based Visual Analysis of Questionnaire Responses
  
  Renzhong Li, Weiwei Cui, Tianqi Song, Xiao Xie, Rui Ding, Yun Wang, Haidong Zhang, Hong Zhou, Yingcai Wu
  
  October 2023
  
  Publication Author's Version DOI
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 제 24 권: pp. 905-941
  
  Publication

Justin Ding

출판물

Generalization of RLVR Using Causal Reasoning as a Testbed

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

FXAM: A unified and fast interpretable model for predictive analytics

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

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

InsightPilot: An LLM-Empowered Automated Data Exploration System

Causality-Based Visual Analysis of Questionnaire Responses

XInsight: eXplainable Data Analysis Through The Lens of Causality

ML4C: Seeing Causality Through Latent Vicinity

ML4S: Learning Causal Skeleton from Vicinal Graphs

pureGAM: Learning an Inherently Pure Additive Model

MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis

Reliable and Efficient Anytime Skeleton Learning

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

Experience report on applying software analytics in incident management of online service

Extracting Top-K Insights from Multi-dimensional Data

YADING: Fast Clustering of Large-Scale Time Series Data

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis

Correlating Events with Time Series for Incident Diagnosis

Identifying Recurrent and Unknown Performance Issues

Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems

Where Do Developers Log? An Empirical Study on Logging Practices in Industry

Software Analytics for Incident Management of Online Services: An Experience Report

Contextual Analysis of Program Logs for Understanding System Behaviors

Contextual Analysis of Program Logs for Understanding System Behaviors

Healing Online Service Systems via Mining Historical Issue Repositories

Performance Issue Diagnosis for Online Service Systems

Generalization of RLVR Using Causal Reasoning as a Testbed

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

FXAM: A unified and fast interpretable model for predictive analytics

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

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

InsightPilot: An LLM-Empowered Automated Data Exploration System

XInsight: eXplainable Data Analysis Through The Lens of Causality

ML4C: Seeing Causality Through Latent Vicinity

pureGAM: Learning an Inherently Pure Additive Model

ML4S: Learning Causal Skeleton from Vicinal Graphs

Reliable and Efficient Anytime Skeleton Learning

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

Experience report on applying software analytics in incident management of online service

FXAM: A unified and fast interpretable model for predictive analytics

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

InsightPilot: An LLM-Empowered Automated Data Exploration System

XInsight: eXplainable Data Analysis Through The Lens of Causality

MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis

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

Extracting Top-K Insights from Multi-dimensional Data

Causality-Based Visual Analysis of Questionnaire Responses

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

Experience report on applying software analytics in incident management of online service

YADING: Fast Clustering of Large-Scale Time Series Data

Experience report on applying software analytics in incident management of online service

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis

Where Do Developers Log? An Empirical Study on Logging Practices in Industry

Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems

Identifying Recurrent and Unknown Performance Issues

Correlating Events with Time Series for Incident Diagnosis

Software Analytics for Incident Management of Online Services: An Experience Report

Contextual Analysis of Program Logs for Understanding System Behaviors

Contextual Analysis of Program Logs for Understanding System Behaviors

Healing Online Service Systems via Mining Historical Issue Repositories

Performance Issue Diagnosis for Online Service Systems

Generalization of RLVR Using Causal Reasoning as a Testbed

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

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

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

InsightPilot: An LLM-Empowered Automated Data Exploration System

XInsight: eXplainable Data Analysis Through The Lens of Causality

ML4C: Seeing Causality Through Latent Vicinity

pureGAM: Learning an Inherently Pure Additive Model

ML4S: Learning Causal Skeleton from Vicinal Graphs

MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis

Reliable and Efficient Anytime Skeleton Learning

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

Extracting Top-K Insights from Multi-dimensional Data

YADING: Fast Clustering of Large-Scale Time Series Data

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis

Where Do Developers Log? An Empirical Study on Logging Practices in Industry