Yuguang Yue - RankMe

18 papers A* 4A 1C 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling Behavior Cloning Improves Causal Reasoning: An Open Model for Real-Time Video Game Playing. CoRR Yuguang Yue, Irakli Salia, Samuel Hunt, Chris Green, Wenzhe Shi, Jonathan J. Hunt
2025	J	`jnl`	Learning to play: A Multimodal Agent for 3D Game-Play. CoRR Yuguang Yue, Irakli Salia, Samuel Hunt, Christopher Green, Wenzhe Shi, Jonathan J. Hunt
2025	C	`conf`	Pixels to Play: A Foundation Model for 3D Gameplay. CoG Yuguang Yue, Chris Green, Samuel Hunt, Irakli Salia, Wenzhe Shi, Jonathan J. Hunt
2025	J	`jnl`	Pixels to Play: A Foundation Model for 3D Gameplay. CoRR Yuguang Yue, Chris Green, Samuel Hunt, Irakli Salia, Wenzhe Shi, Jonathan J. Hunt
2024	A*	`conf`	MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. KDD Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
2024	J	`jnl`	MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. CoRR Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
2022	J	`jnl`	Learning to Rank For Push Notifications Using Pairwise Expected Regret. CoRR Yuguang Yue, Yuanpu Xie, Huasen Wu, Haofeng Jia, Shaodan Zhai, Wenzhe Shi, Jonathan J. Hunt
2020	A	`conf`	Discrete Action On-Policy Learning with Action-Value Critic. AISTATS Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
2020	J	`jnl`	Discrete Action On-Policy Learning with Action-Value Critic. CoRR Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
2020	A*	`conf`	Implicit Distributional Reinforcement Learning. NeurIPS Yuguang Yue, Zhendong Wang, Mingyuan Zhou
2020	J	`jnl`	Implicit Distributional Reinforcement Learning. CoRR Yuguang Yue, Zhendong Wang, Mingyuan Zhou
2020	A*	`conf`	On hyperparameter tuning in general clustering problemsm. ICML Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang
2020	J	`jnl`	Semi-supervised learning using adversarial training with good and bad samples. Mach. Vis. Appl. Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold
2019	J	`jnl`	A Unified Framework for Tuning Hyperparameters in Clustering Problems. CoRR Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang
2019	A*	`conf`	ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. ICML Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
2019	J	`jnl`	ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. CoRR Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
2019	J	`jnl`	Semi-supervised Learning using Adversarial Training with Good and Bad Samples. CoRR Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold
2019	J	`jnl`	T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method. Stat. Comput. Yuguang Yue, Lieven Vandenberghe, Weng Kee Wong