Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. - Wanyu Lin; Zhaolin Gao; Baochun Li (CoRR, 2019)

Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. - Wanyu Lin; Zhaolin Gao; Baochun Li (CVPR, 2020)

Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks. - Wanyu Lin; Zhaolin Gao; Baochun Li (INFOCOM, 2020)

Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems. - Zhaolin Gao; Tianshu Shen; Zheda Mai; Mohamed Reda Bouadjenek; Isaac Waller; Ashton Anderson; Ron Bodkin; Scott Sanner (SIGIR, 2022)

MCL: Mixed-Centric Loss for Collaborative Filtering. - Zhaolin Gao; Zhaoyue Cheng; Felipe Pérez; Jianing Sun; Maksims Volkovs (WWW, 2022)

REBEL: Reinforcement Learning via Regressing Relative Rewards. - Zhaolin Gao; Jonathan D. Chang; Wenhao Zhan; Owen Oertell; Gokul Swamy; Kianté Brantley; Thorsten Joachims; Drew Bagnell; Jason D. Lee; Wen Sun 002 (NeurIPS, 2024)

Reviewer2: Optimizing Review Generation Through Prompt Generation. - Zhaolin Gao; Kianté Brantley; Thorsten Joachims (CoRR, 2024)

End-to-end Training for Recommendation with Language-based User Profiles. - Zhaolin Gao; Joyce Zhou; Yijia Dai; Thorsten Joachims (CoRR, 2024)

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. - Zhaolin Gao; Wenhao Zhan; Jonathan Daniel Chang; Gokul Swamy; Kianté Brantley; Jason D. Lee; Wen Sun 002 (ICLR, 2025)

Q♯: Provably Optimal Distributional RL for LLM Post-Training. - Jin Peng Zhou; Kaiwen Wang; Jonathan D. Chang; Zhaolin Gao; Nathan Kallus; Kilian Q. Weinberger; Kianté Brantley; Wen Sun 002 (CoRR, 2025)

Value-Guided Search for Efficient Chain-of-Thought Reasoning. - Kaiwen Wang; Jin Peng Zhou; Jonathan D. Chang; Zhaolin Gao; Nathan Kallus; Kianté Brantley; Wen Sun 002 (CoRR, 2025)

Accelerating RL for LLM Reasoning with Optimal Advantage Regression. - Kianté Brantley; Mingyu Chen; Zhaolin Gao; Jason D. Lee; Wen Sun 002; Wenhao Zhan; Xuezhou Zhang (CoRR, 2025)

Pre-trained Large Language Models Learn Hidden Markov Models In-context. - Yijia Dai; Zhaolin Gao; Yahya Sattar; Sarah Dean; Jennifer J. Sun (CoRR, 2025)