Hao Zou

According to our database, Hao Zou authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift.

Shixuan Liu, Yue He, Yunfei Wang, Hao Zou, Haoxiang Cheng, Wenjing Yang, Peng Cui, Zhong Liu

CoRR, July, 2025

AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments.

Zimu Wang, Hao Zou, Jiashuo Liu, Jiayun Wu, Pengfei Tian, Yue He, Peng Cui

ACM Trans. Knowl. Discov. Data, February, 2025

Error Slice Discovery via Manifold Compactness.

Han Yu, Jiashuo Liu, Hao Zou, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui

CoRR, January, 2025

Exploring and Exploiting Data Heterogeneity in Recommendation.

Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui

ACM Trans. Knowl. Discov. Data, 2025

Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach.

Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui

Proceedings of the ACM on Web Conference 2025, 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, Han Yu, Peng Cui

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models.

Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts.

Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.

Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications.

Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Domain-wise Data Acquisition to Improve Performance under Distribution Shift.

Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Feasible Causal Algorithmic Recourse without Prior Structure.

Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping.

Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui

Proceedings of the ACM Web Conference 2023, 2023

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization.

Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction.

Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Data-Driven Variable Decomposition for Treatment Effect Estimation.

Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang

IEEE Trans. Knowl. Data Eng., 2022

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation.

Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Counterfactual Prediction for Outcome-Oriented Treatments.

Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui

Proceedings of the International Conference on Machine Learning, 2022

2020

Counterfactual Prediction for Bundle Treatment.

Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Stable Graphs from Multiple Environments with Selection Bias.

Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Focused Context Balancing for Robust Offline Policy Evaluation.

Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Causation-Driven Visualizations for Insurance Recommendation.

Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

2018

Physical Co-Design of Flow and Control Layers for Flow-Based Microfluidic Biochips.

Qin Wang, Hao Zou, Hailong Yao, Tsung-Yi Ho, Robert Wille, Yici Cai

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018