Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. - Zexu Sun; Bowei He; Ming Ma; Jiakai Tang; Yuchen Wang; Chen Ma 001; Dugang Liu (ICDM, 2023)

Offline Imitation Learning with Variational Counterfactual Reasoning. - Zexu Sun; Bowei He; Jinxin Liu; Xu Chen 017; Chen Ma 001; Shuai Zhang (NeurIPS, 2023)

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. - Yunpeng Weng; Xing Tang 007; Zhenhao Xu; Fuyuan Lyu; Dugang Liu; Zexu Sun; Xiuqiang He 001 (CIKM, 2024)

Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. - Zexu Sun; Dugang Liu; Xing Tang 007; Yunpeng Weng; Xiuqiang He 001 (DASFAA (7), 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Zexu Sun; Bowen Sun; Huimin Chen; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2024)

M3TN: Multi-Gate Mixture-of-Experts Based Multi-Valued Treatment Network for Uplift Modeling. - Zexu Sun; Xu Chen (ICASSP, 2024)

Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning. - Heyang Gao; Zexu Sun; Hao Yang 045; Xu Chen 017 (KDD, 2024)

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. - Bowei He; Yunpeng Weng; Xing Tang 007; Ziqiang Cui; Zexu Sun; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (KDD, 2024)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. - Jiakai Tang; Sunhao Dai; Zexu Sun; Xu Chen 017; Jun Xu 001; Wenhui Yu; Lantao Hu; Peng Jiang 002; Han Li 005 (KDD, 2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. - Zexu Sun; Hao Yang 045; Dugang Liu; Yunpeng Weng; Xing Tang 007; Xiuqiang He 001 (RecSys, 2024)

Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck. - Hao Yang; Zexu Sun; Hongteng Xu; Xu Chen 017 (CoRR, 2024)

Benchmarking for Deep Uplift Modeling in Online Marketing. - Dugang Liu; Xing Tang 007; Yang Qiao; Miao Liu 006; Zexu Sun; Xiuqiang He 001; Zhong Ming 001 (CoRR, 2024)

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression. - Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Xiangwei Chen; Zexu Sun; Fei Wu 001; Kun Zhang 001 (CoRR, 2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. - Zexu Sun; Hao Yang; Dugang Liu; Yunpeng Weng; Xing Tang 007; Xiuqiang He 001 (CoRR, 2024)

KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding. - Jiakai Tang; Shiqi Shen; Zhipeng Wang; Gong Zhi; Xueyang Feng; Zexu Sun; Haoran Tan; Xu Chen 017 (ACL (Findings), 2025)

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. - Zexu Sun; Yiju Guo; Yankai Lin; Xu Chen 017; Qi Qi 003; Xing Tang 007; Xiuqiang He 001; Ji-Rong Wen (ICLR, 2025)

Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing. - Zexu Sun; Qiyu Han; Minqin Zhu; Hao Gong; Dugang Liu; Chen Ma 001 (KDD (1), 2025)

ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization. - Yongcheng Zeng; Xinyu Cui; Xuanfa Jin; Guoqing Liu; Zexu Sun; Quan He; Dong Li 016; Ning Yang 005; Jianye Hao; Haifeng Zhang; Jun Wang 012 (CoRR, 2025)

Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. - Zexu Sun; Bowei He; Shiqi Shen; Zhipeng Wang; Zhi Gong; Chen Ma 001; Qi Qi 003; Xu Chen 017 (IEEE Trans. Knowl. Data Eng., 2025)

What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models. - Qiyuan Zhang; Fuyuan Lyu; Zexu Sun; Lei Wang; Weixu Zhang; Zhihan Guo; Yufei Wang; Irwin King; Xue Liu; Chen Ma 001 (CoRR, 2025)

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. - Yansen Zhang; Bowei He; Xiaokun Zhang 001; Haolun Wu; Zexu Sun; Chen Ma 001 (CoRR, 2025)

Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning. - Yiju Guo; Wenkai Yang; Zexu Sun; Ning Ding 002; Zhiyuan Liu 001; Yankai Lin (CoRR, 2025)