Generalization of RLVR Using Causal Reasoning as a Testbed
Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
ICLR 2026 | December 2025
Justin Ding
Principal Researcher
论文与出版物
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Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
Artificial Intelligence and Statistics 2025 | May 2025
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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
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Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
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InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
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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
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
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ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
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MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
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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, 第 24 卷: pp. 905-941
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Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17) | May 2017
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YADING: Fast Clustering of Large-Scale Time Series Data
Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
August 2015
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Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
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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
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Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
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Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
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Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
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Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
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Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
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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
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Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
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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
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Generalization of RLVR Using Causal Reasoning as a Testbed
Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
ICLR 2026 | December 2025
-
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
-
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
-
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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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
-
InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
-
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
-
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
-
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
-
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
-
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
-
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
-
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, 第 24 卷: pp. 905-941
-
-
-
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
-
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
-
InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
-
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
-
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
-
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
-
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
-
-
-
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
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
-
-
-
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, 第 24 卷: pp. 905-941
-
YADING: Fast Clustering of Large-Scale Time Series Data
Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
August 2015
-
-
-
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, 第 24 卷: pp. 905-941
-
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
-
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
-
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
-
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
-
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
-
Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
-
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
-
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
-
Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
-
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
-
-
-
Generalization of RLVR Using Causal Reasoning as a Testbed
Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
ICLR 2026 | December 2025
-
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
-
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
-
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
-
InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
-
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
-
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
-
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
-
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
-
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
-
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
-
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
-
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
-
YADING: Fast Clustering of Large-Scale Time Series Data
Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
August 2015
-
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
-
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
-
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
-
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
-
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
-
Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
-
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
-
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
-
Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
-
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
-
-
-
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
-
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
-
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, 第 24 卷: pp. 905-941
-