Physical Co-Design of Flow and Control Layers for Flow-Based Microfluidic Biochips. - Qin Wang 005; Hao Zou 001; Hailong Yao; Tsung-Yi Ho; Robert Wille; Yici Cai (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Causation-Driven Visualizations for Insurance Recommendation. - Zhixiu Liu; Chengxi Zang; Kun Kuang; Hao Zou 001; Hu Zheng; Peng Cui 001 (ICME Workshops, 2019)

Focused Context Balancing for Robust Offline Policy Evaluation. - Hao Zou 001; Kun Kuang; Boqi Chen; Peixuan Chen; Peng Cui 001 (KDD, 2019)

Learning Stable Graphs from Multiple Environments with Selection Bias. - Yue He 001; Peng Cui 001; Jianxin Ma; Hao Zou 001; Xiaowei Wang; Hongxia Yang; Philip S. Yu (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)

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

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. - Yue He 001; Zimu Wang; Peng Cui 001; Hao Zou 001; Yafeng Zhang; Qiang Cui; Yong Jiang 001 (WWW, 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)

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)

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. - Xingxuan Zhang; Renzhe Xu; Han Yu 009; Hao Zou 001; Peng Cui 001 (CVPR, 2023)

Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. - Jie Peng; Hao Zou 001; Jiashuo Liu; Shaoming Li; Yibao Jiang; Jian Pei 001; Peng Cui 001 (WWW, 2023)

Learning Feasible Causal Algorithmic Recourse without Prior Structure. - Haotian Wang 001; Hao Zou 001; Xueguang Zhou; Shangwen Wang; Long Lan; Wenjing Yang 002; Peng Cui 001 (ICDM (Workshops), 2024)

Domain-wise Data Acquisition to Improve Performance under Distribution Shift. - Yue He 001; Dongbai Li; Pengfei Tian; Han Yu 009; Jiashuo Liu; Hao Zou 001; Peng Cui 001 (ICML, 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)

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. - Wenjing Yang 002; Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Ruochun Jin; Kun Kuang; Peng Cui 001 (KDD, 2024)

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. - Jiansheng Li; Xingxuan Zhang; Hao Zou 001; Yige Guo; Renzhe Xu; Yilong Liu; Chuzhao Zhu; Yue He 001; Peng Cui 001 (CVPR, 2025)

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models. - Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Haoang Chi; Long Lan; Wanrong Huang; Wenjing Yang 002 (ICLR, 2025)

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. - Xingxuan Zhang; Haoran Wang; Jiansheng Li; Yuan Xue; Shikai Guan; Renzhe Xu; Hao Zou 001; Han Yu 009; Peng Cui 001 (ICLR, 2025)

Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. - Haotian Wang 001; Hao Zou 001; Xueguang Zhou; Shangwen Wang; Wenjing Yang 002; Peng Cui 001 (WWW, 2025)

Exploring and Exploiting Data Heterogeneity in Recommendation. - Zimu Wang; Jiashuo Liu; Hao Zou 001; Xingxuan Zhang; Yue He 001; Dongxu Liang; Peng Cui 001 (ACM Trans. Knowl. Discov. Data, 2025)

Error Slice Discovery via Manifold Compactness. - Han Yu 009; Jiashuo Liu; Hao Zou 001; Renzhe Xu; Yue He 001; Xingxuan Zhang; Peng Cui 001 (CoRR, 2025)

AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments. - Zimu Wang; Hao Zou 001; Jiashuo Liu; Jiayun Wu; Pengfei Tian; Yue He 001; Peng Cui 001 (ACM Trans. Knowl. Discov. Data, 2025)

Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift. - Shixuan Liu; Yue He 001; Yunfei Wang; Hao Zou 001; Haoxiang Cheng; Wenjing Yang 002; Peng Cui 001; Zhong Liu 002 (CoRR, 2025)