Hao Yang

According to our database, Hao Yang authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models.

Hao Yang, Haoxuan Li, Luyu Chen, Haoxiang Wang, Xu Chen, Mingming Gong

CoRR, July, 2025

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining.

Hao Yang, Haoxuan Li, Mengyue Yang, Xu Chen, Mingming Gong

CoRR, May, 2025

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge.

Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Hao Yang, Zhenhua Dong, Xu Chen

CoRR, May, 2025

User Behavior Simulation with Large Language Model-based Agents.

Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen

ACM Trans. Inf. Syst., March, 2025

Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency.

Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A survey on large language model based autonomous agents.

Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen

Frontiers Comput. Sci., December, 2024

Distributional Fairness-aware Recommendation.

Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

ACM Trans. Inf. Syst., September, 2024

Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck.

Hao Yang, Zexu Sun, Hongteng Xu, Xu Chen

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, Xiuqiang He

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning.

Heyang Gao, Zexu Sun, Hao Yang, Xu Chen

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

2023

Towards Robust Fairness-aware Recommendation.

Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hierarchical Invariant Learning for Domain Generalization Recommendation.

Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023