Junfeng Wen - RankMe

24 papers A* 8Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint). AAAI Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr
2025	J	`jnl`	An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning. ACM Trans. Model. Perform. Evaluation Comput. Syst. Xiangyu Ma, Wei Shi, Junfeng Wen
2025	J	`jnl`	An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. J. Artif. Intell. Res. Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr
2025	J	`jnl`	LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision. CoRR Anthony Fuller, Yousef Yassin, Junfeng Wen, Daniel G. Kyrollos, Tarek Ibrahim, James R. Green, Evan Shelhamer
2024	—	`conf`	An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning. EICC Xiangyu Ma, Wei Shi, Junfeng Wen
2024	J	`jnl`	An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. CoRR Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr
2022	A*	`conf`	A Parametric Class of Approximate Gradient Updates for Policy Optimization. ICML Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
2022	J	`jnl`	A Parametric Class of Approximate Gradient Updates for Policy Optimization. CoRR Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
2022	J	`jnl`	Find Your Friends: Personalized Federated Learning with the Right Collaborators. CoRR Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell
2021	A*	`conf`	Characterizing the Gap Between Actor-Critic and Policy Gradient. ICML Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
2021	J	`jnl`	Characterizing the Gap Between Actor-Critic and Policy Gradient. CoRR Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
2021	J	`jnl`	ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh
2020	A*	`conf`	Batch Stationary Distribution Estimation. ICML Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans
2020	J	`jnl`	Batch Stationary Distribution Estimation. CoRR Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans
2020	A*	`conf`	Domain Aggregation Networks for Multi-Source Domain Adaptation. ICML Junfeng Wen, Russell Greiner, Dale Schuurmans
2020	J	`jnl`	Universal Successor Features for Transfer Reinforcement Learning. CoRR Chen Ma, Dylan R. Ashley, Junfeng Wen, Yoshua Bengio
2019	J	`jnl`	Domain Aggregation Networks for Multi-Source Domain Adaptation. CoRR Junfeng Wen, Russell Greiner, Dale Schuurmans
2018	J	`jnl`	Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR Junfeng Wen, Yanshuai Cao, Ruitong Huang
2018	—	`conf`	Universal Successor Representations for Transfer Reinforcement Learning. ICLR (Workshop) Chen Ma, Junfeng Wen, Yoshua Bengio
2018	J	`jnl`	Universal Successor Representations for Transfer Reinforcement Learning. CoRR Chen Ma, Junfeng Wen, Yoshua Bengio
2016	—	`conf`	Convex Two-Layer Modeling with Latent Structure. NIPS Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen
2015	A*	`conf`	Correcting Covariate Shift with the Frank-Wolfe Algorithm. IJCAI Junfeng Wen, Russell Greiner, Dale Schuurmans
2015	A*	`conf`	Optimal Estimation of Multivariate ARMA Models. AAAI Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans
2014	A*	`conf`	Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. ICML Junfeng Wen, Chun-Nam Yu, Russell Greiner