A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams. - Ziqi Liu; Qinghua Zheng; Fei Wang 001; Zhenhua Tian; Bo Li 064 (SDM, 2014)

Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation. - Kaibo Wang; Arthur B. Yeh; Bo Li 064 (Comput. Stat. Data Anal., 2014)

Counterfactual Decomposition of Movie Star Effects with Star Selection. - Angela Xia Liu; Tridib Mazumdar; Bo Li 064 (Manag. Sci., 2015)

Treatment Effect Estimation with Data-Driven Variable Decomposition. - Kun Kuang; Peng Cui 001; Bo Li 064; Meng Jiang 001; Shiqiang Yang; Fei Wang 001 (AAAI, 2017)

How Out-of-Pocket Ratio Influences Readmission: An Analysis Based on Front Sheet of Inpatient Medical Record. - Luo He; Xiaolei Xie; Hongyan Liu 002; Bo Li 064 (ICSH, 2017)

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing. - Kun Kuang; Peng Cui 001; Bo Li 064; Meng Jiang 001; Shiqiang Yang (KDD, 2017)

On Image Classification: Correlation v.s. Causality. - Zheyan Shen; Peng Cui 001; Kun Kuang; Bo Li 064 (CoRR, 2017)

Stable Prediction across Unknown Environments. - Kun Kuang; Peng Cui 001; Susan Athey; Ruoxuan Xiong; Bo Li 064 (KDD, 2018)

Causally Regularized Learning with Agnostic Data Selection Bias. - Zheyan Shen; Peng Cui 001; Kun Kuang; Bo Li 064; Peixuan Chen (ACM Multimedia, 2018)

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. - Peng Sun 011; Xinghai Sun; Lei Han 001; Jiechao Xiong; Qing Wang; Bo Li 064; Yang Zheng; Ji Liu 001; Yongsheng Liu; Han Liu 001; Tong Zhang 001 (CoRR, 2018)

Stable Prediction with Model Misspecification and Agnostic Distribution Shift. - Kun Kuang; Ruoxuan Xiong; Peng Cui 001; Susan Athey; Bo Li 064 (AAAI, 2020)

Stable Learning via Differentiated Variable Decorrelation. - Zheyan Shen; Peng Cui 001; Jiashuo Liu; Tong Zhang 001; Bo Li 064; Zhitang Chen (KDD, 2020)

Algorithmic Decision Making with Conditional Fairness. - Renzhe Xu; Peng Cui 001; Kun Kuang; Bo Li 064; Linjun Zhou; Zheyan Shen; Wei Cui (KDD, 2020)

Counterfactual Prediction for Bundle Treatment. - Hao Zou 001; Peng Cui 001; Bo Li 064; Zheyan Shen; Jianxin Ma; Hongxia Yang; Yue He 001 (NeurIPS, 2020)

Invariant Adversarial Learning for Distributional Robustness. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (CoRR, 2020)

Stable Prediction via Leveraging Seed Variable. - Kun Kuang; Bo Li 064; Peng Cui 001; Yue Liu; Jianrong Tao; Yueting Zhuang; Fei Wu 001 (CoRR, 2020)

Learning Decomposed Representation for Counterfactual Inference. - Anpeng Wu; Kun Kuang; Junkun Yuan; Bo Li 064; Pan Zhou; Jianrong Tao; Qiang Zhu; Yueting Zhuang; Fei Wu 001 (CoRR, 2020)

Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. - Kun Kuang; Peng Cui 001; Bo Li 064; Meng Jiang 001; Yashen Wang; Fei Wu 001; Shiqiang Yang (ACM Trans. Knowl. Discov. Data, 2020)

Stable Adversarial Learning under Distributional Shifts. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064; Yishi Lin (AAAI, 2021)

Heterogeneous Risk Minimization. - Jiashuo Liu; Zheyuan Hu; Peng Cui 001; Bo Li 064; Zheyan Shen (ICML, 2021)

Kernelized Heterogeneous Risk Minimization. - Jiashuo Liu; Zheyuan Hu; Peng Cui 001; Bo Li 064; Zheyan Shen (NeurIPS, 2021)

Continuous treatment effect estimation via generative adversarial de-confounding. - Kun Kuang; Yunzhe Li 003; Bo Li 064; Peng Cui 001; Hongxia Yang; Jianrong Tao; Fei Wu 001 (Data Min. Knowl. Discov., 2021)

Instrumental Variable Regression with Confounder Balancing. - Anpeng Wu; Kun Kuang; Bo Li 064; Fei Wu 001 (ICML, 2022)

Counterfactual Prediction for Outcome-Oriented Treatments. - Hao Zou 001; Bo Li 064; Jiangang Han; Shuiping Chen; Xuetao Ding; Peng Cui 001 (ICML, 2022)

Distributionally Robust Optimization with Data Geometry. - Jiashuo Liu; Jiayun Wu; Bo Li 064; Peng Cui 001 (NeurIPS, 2022)

Product Ranking for Revenue Maximization with Multiple Purchases. - Renzhe Xu; Xingxuan Zhang; Bo Li 064; Yafeng Zhang; Xiaolong Chen; Peng Cui 001 (NeurIPS, 2022)

Regulatory Instruments for Fair Personalized Pricing. - Renzhe Xu; Xingxuan Zhang; Peng Cui 001; Bo Li 064; Zheyan Shen; Jiazheng Xu (WWW, 2022)

Distributionally Invariant Learning: Rationalization and Practical Algorithms. - Jiashuo Liu; Jiayun Wu; Jie Peng; Zheyan Shen; Bo Li 064; Peng Cui 001 (CoRR, 2022)

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. - Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Minqing Zhu; Yuxuan Liu; Bo Li 064; Furui Liu; Zhihua Wang 008; Fei Wu 001 (CoRR, 2022)

Confounder Balancing for Instrumental Variable Regression with Latent Variable. - Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Bo Li 064; Fei Wu 001 (CoRR, 2022)

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. - Junkun Yuan; Anpeng Wu; Kun Kuang; Bo Li 064; Runze Wu 001; Fei Wu 001; Lanfen Lin (ACM Trans. Knowl. Discov. Data, 2022)

Data-Driven Variable Decomposition for Treatment Effect Estimation. - Kun Kuang; Peng Cui 001; Hao Zou 001; Bo Li 064; Jianrong Tao; Fei Wu 001; Shiqiang Yang (IEEE Trans. Knowl. Data Eng., 2022)

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. - Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Minqing Zhu; Yuxuan Liu; Bo Li 064; Furui Liu; Zhihua Wang 008; Fei Wu 001 (AAAI, 2023)

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. - Hao Zou 001; Haotian Wang 001; Renzhe Xu; Bo Li 064; Jian Pei 001; Ye Jun Jian; Peng Cui 001 (CLeaR, 2023)

Measure the Predictive Heterogeneity. - Jiashuo Liu; Jiayun Wu; Renjie Pi; Renzhe Xu; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (ICLR, 2023)

Stable Estimation of Heterogeneous Treatment Effects. - Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Bo Li 064; Fei Wu 001 (ICML, 2023)

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (ICML, 2023)

Predictive Heterogeneity: Measures and Applications. - Jiashuo Liu; Jiayun Wu; Bo Li 064; Peng Cui 001 (CoRR, 2023)

Differentiated matching for individual and average treatment effect estimation. - Ziyu Zhao 001; Kun Kuang; Bo Li 064; Peng Cui 001; Runze Wu 001; Jun Xiao 001; Fei Wu 001 (Data Min. Knowl. Discov., 2023)

Learning Decomposed Representations for Treatment Effect Estimation. - Anpeng Wu; Junkun Yuan; Kun Kuang; Bo Li 064; Runze Wu 001; Qiang Zhu; Yueting Zhuang; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Stable Prediction With Leveraging Seed Variable. - Kun Kuang; Haotian Wang 001; Yue Liu; Ruoxuan Xiong; Runze Wu 001; Weiming Lu 001; Yueting Zhuang; Fei Wu 001; Peng Cui 001; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Distributionally Robust Learning With Stable Adversarial Training. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. - Minqin Zhu; Anpeng Wu; Haoxuan Li 001; Ruoxuan Xiong; Bo Li 064; Xiaoqing Yang; Xuan Qin; Peng Zhen 001; Jiecheng Guo; Fei Wu 001; Kun Kuang (AAAI, 2024)

Enhancing Distributional Stability among Sub-populations. - Jiashuo Liu; Jiayun Wu; Jie Peng; Xiaoyu Wu; Yang Zheng; Bo Li 064; Peng Cui 001 (AISTATS, 2024)

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. - Jiashuo Liu; Jiayun Wu; Tianyu Wang; Hao Zou 001; Bo Li 064; Peng Cui 001 (ICML, 2024)

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (CoRR, 2024)

Learning double balancing representation for heterogeneous dose-response curve estimation. - Minqin Zhu; Anpeng Wu; Haoxuan Li 001; Ruoxuan Xiong; Bo Li 064; Fei Wu 001; Kun Kuang (Neural Networks, 2025)

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. - Ziyu Zhao 001; Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Bo Li 064; Zhihua Wang 008; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources. - Renzhe Xu; Kang Wang; Bo Li 064 (CoRR, 2025)