Healing online service systems via mining historical issue repositories. - Rui Ding 001; Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Dongmei Zhang 001; Jiajun Shen; Tao Xie 001 (ASE, 2012)

Performance Issue Diagnosis for Online Service Systems. - Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001; Zihao Ye; Tao Xie 001 (SRDS, 2012)

Software analytics for incident management of online services: An experience report. - Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (ASE, 2013)

Contextual analysis of program logs for understanding system behaviors. - Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001; Tao Xie 001 (MSR, 2013)

Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems. - Rui Ding 001; Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Dongmei Zhang 001; Tao Xie 001 (DSN, 2014)

Identifying Recurrent and Unknown Performance Issues. - Meng-Hui Lim; Jian-Guang Lou; Hongyu Zhang 002; Qiang Fu 015; Andrew Beng Jin Teoh; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001 (ICDM, 2014)

Where do developers log? an empirical study on logging practices in industry. - Qiang Fu 015; Jieming Zhu; Wenlu Hu; Jian-Guang Lou; Rui Ding 001; Qingwei Lin; Dongmei Zhang 001; Tao Xie 001 (ICSE Companion, 2014)

Correlating events with time series for incident diagnosis. - Chen Luo; Jian-Guang Lou; Qingwei Lin; Qiang Fu 015; Rui Ding 001; Dongmei Zhang 001; Zhe Wang 007 (KDD, 2014)

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. - Rui Ding 001; Hucheng Zhou; Jian-Guang Lou; Hongyu Zhang 002; Qingwei Lin; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (USENIX ATC, 2015)

YADING: Fast Clustering of Large-Scale Time Series Data. - Rui Ding 001; Qiang Wang; Yingnong Dang; Qiang Fu 015; Haidong Zhang; Dongmei Zhang 001 (Proc. VLDB Endow., 2015)

Extracting Top-K Insights from Multi-dimensional Data. - Bo Tang 016; Shi Han; Man Lung Yiu; Rui Ding 001; Dongmei Zhang 001 (SIGMOD Conference, 2017)

Experience report on applying software analytics in incident management of online service. - Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (Autom. Softw. Eng., 2017)

QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data. - Rui Ding 001; Shi Han; Yong Xu 010; Haidong Zhang; Dongmei Zhang 001 (SIGMOD Conference, 2019)

Reliable and Efficient Anytime Skeleton Learning. - Rui Ding 001; Yanzhi Liu; Jingjing Tian; Zhouyu Fu; Shi Han; Dongmei Zhang 001 (AAAI, 2020)

MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. - Pingchuan Ma 004; Rui Ding 001; Shi Han; Dongmei Zhang 001 (SIGMOD Conference, 2021)

A Unified and Fast Interpretable Model for Predictive Analytics. - Rui Ding 001; Tianchi Qiao; Yunan Zhu 001; Zhitao Zou; Shi Han; Dongmei Zhang 001 (CoRR, 2021)

ML4S: Learning Causal Skeleton from Vicinal Graphs. - Pingchuan Ma 004; Rui Ding 001; Haoyue Dai; Yuanyuan Jiang; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (KDD, 2022)

pureGAM: Learning an Inherently Pure Additive Model. - Xingzhi Sun 003; Ziyu Wang; Rui Ding 001; Shi Han; Dongmei Zhang 001 (KDD, 2022)

InsightPilot: An LLM-Empowered Automated Data Exploration System. - Pingchuan Ma 004; Rui Ding 001; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (EMNLP (Demos), 2023)

ML4C: Seeing Causality Through Latent Vicinity. - Haoyue Dai; Rui Ding 001; Yuanyuan Jiang; Shi Han; Dongmei Zhang 001 (SDM, 2023)

Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. - Pingchuan Ma 004; Rui Ding 001; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (CoRR, 2023)

XInsight: eXplainable Data Analysis Through The Lens of Causality. - Pingchuan Ma 004; Rui Ding 001; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (Proc. ACM Manag. Data, 2023)

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. - Xinyi He; Mengyu Zhou; Xinrun Xu; Xiaojun Ma; Rui Ding 001; Lun Du; Yan Gao 002; Ran Jia; Xu Chen 022; Shi Han; Zejian Yuan; Dongmei Zhang 001 (AAAI, 2024)

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. - Pingchuan Ma 004; Rui Ding 001; Qiang Fu 015; Jiaru Zhang; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (KDD, 2024)

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). - Pingchuan Ma 004; Rui Ding 001; Qiang Fu 015; Jiaru Zhang; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (CoRR, 2024)

FXAM: A unified and fast interpretable model for predictive analytics. - Yuanyuan Jiang; Rui Ding 001; Tianchi Qiao; Yunan Zhu 001; Shi Han; Dongmei Zhang 001 (Expert Syst. Appl., 2024)

Causality-Based Visual Analysis of Questionnaire Responses. - Renzhong Li; Weiwei Cui 001; Tianqi Song; Xiao Xie; Rui Ding 001; Yun Wang 012; Haidong Zhang; Hong Zhou 004; Yingcai Wu (IEEE Trans. Vis. Comput. Graph., 2024)

Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. - Jiaru Zhang; Rui Ding 001; Qiang Fu 015; Bojun Huang; Zizhen Deng; Yang Hua 001; Haibing Guan; Shi Han; Dongmei Zhang 001 (AISTATS, 2025)