Rui Ding - RankMe

34 papers A* 9A 4B 1Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAST: Achieving Stable LLM-based Text Analysis for Data Analytics. CoRR Jinxiang Xie, Zihao Li, Wei He, Rui Ding, Shi Han, Dongmei Zhang
2026	J	`jnl`	Test-Time Learning of Causal Structure from Interventional Data. CoRR Wei Chen, Rui Ding, Bojun Huang, Yang Zhang, Qiang Fu, Yuxuan Liang, Han Shi, Dongmei Zhang
2025	A	`conf`	Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. AISTATS Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
2025	J	`jnl`	Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. CoRR Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
2024	J	`jnl`	Causality-Based Visual Analysis of Questionnaire Responses. IEEE Trans. Vis. Comput. Graph. Renzhong Li, Weiwei Cui, Tianqi Song, Xiao Xie, Rui Ding, Yun Wang, Haidong Zhang, Hong Zhou, Yingcai Wu
2024	J	`jnl`	FXAM: A unified and fast interpretable model for predictive analytics. Expert Syst. Appl. Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
2024	J	`jnl`	Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024	A*	`conf`	Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024	A*	`conf`	Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. AAAI Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
2023	J	`jnl`	Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023	—	`conf`	InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023	A	`conf`	ML4C: Seeing Causality Through Latent Vicinity. SDM Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023	J	`jnl`	Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. CoRR Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
2023	J	`jnl`	XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2022	A*	`conf`	ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
2022	J	`jnl`	XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2022	A*	`conf`	pureGAM: Learning an Inherently Pure Additive Model. KDD Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
2021	J	`jnl`	A Unified and Fast Interpretable Model for Predictive Analytics. CoRR Rui Ding, Tianchi Qiao, Yunan Zhu, Zhitao Zou, Shi Han, Dongmei Zhang
2021	J	`jnl`	ML4C: Seeing Causality Through Latent Vicinity. CoRR Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2021	—	`conf`	MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. SIGMOD Conference Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
2020	A*	`conf`	Reliable and Efficient Anytime Skeleton Learning. AAAI Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
2019	—	`conf`	QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data. SIGMOD Conference Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
2017	J	`jnl`	Experience report on applying software analytics in incident management of online service. Autom. Softw. Eng. Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie
2017	—	`conf`	Extracting Top-K Insights from Multi-dimensional Data. SIGMOD Conference Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
2015	—	`conf`	Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. USENIX ATC Rui Ding, Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Qingwei Lin, Qiang Fu, Dongmei Zhang, Tao Xie
2015	J	`jnl`	YADING: Fast Clustering of Large-Scale Time Series Data. Proc. VLDB Endow. Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
2014	A*	`conf`	Correlating events with time series for incident diagnosis. KDD Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang
2014	A*	`conf`	Identifying Recurrent and Unknown Performance Issues. ICDM Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang
2014	A	`conf`	Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems. DSN Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Tao Xie
2014	—	`conf`	Where do developers log? an empirical study on logging practices in industry. ICSE Companion Qiang Fu, Jieming Zhu, Wenlu Hu, Jian-Guang Lou, Rui Ding, Qingwei Lin, Dongmei Zhang, Tao Xie
2013	A	`conf`	Contextual analysis of program logs for understanding system behaviors. MSR Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Tao Xie
2013	A*	`conf`	Software analytics for incident management of online services: An experience report. ASE Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie
2012	A*	`conf`	Healing online service systems via mining historical issue repositories. ASE Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Jiajun Shen, Tao Xie
2012	B	`conf`	Performance Issue Diagnosis for Online Service Systems. SRDS Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Zihao Ye, Tao Xie