ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. - Mingzhang Yin; Yuguang Yue; Mingyuan Zhou (ICML, 2019)

A Unified Framework for Tuning Hyperparameters in Clustering Problems. - Xinjie Fan; Yuguang Yue; Purnamrita Sarkar; Y. X. Rachel Wang (CoRR, 2019)

T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method. - Yuguang Yue; Lieven Vandenberghe; Weng Kee Wong (Stat. Comput., 2019)

Discrete Action On-Policy Learning with Action-Value Critic. - Yuguang Yue; Yunhao Tang; Mingzhang Yin; Mingyuan Zhou (AISTATS, 2020)

On hyperparameter tuning in general clustering problemsm. - Xinjie Fan; Yuguang Yue; Purnamrita Sarkar; Y. X. Rachel Wang (ICML, 2020)

Implicit Distributional Reinforcement Learning. - Yuguang Yue; Zhendong Wang; Mingyuan Zhou (NeurIPS, 2020)

Semi-supervised learning using adversarial training with good and bad samples. - Wenyuan Li 001; Zichen Wang; Yuguang Yue; Jiayun Li; William Speier; Mingyuan Zhou; Corey W. Arnold (Mach. Vis. Appl., 2020)

Learning to Rank For Push Notifications Using Pairwise Expected Regret. - Yuguang Yue; Yuanpu Xie; Huasen Wu; Haofeng Jia; Shaodan Zhai; Wenzhe Shi; Jonathan J. Hunt (CoRR, 2022)

MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. - Sanchit Sinha; Yuguang Yue; Victor Soto; Mayank Kulkarni; Jianhua Lu; Aidong Zhang (KDD, 2024)

Pixels to Play: A Foundation Model for 3D Gameplay. - Yuguang Yue; Chris Green; Samuel Hunt; Irakli Salia; Wenzhe Shi; Jonathan J. Hunt (CoG, 2025)