| 2026 | AAAI | An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint). | Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr |
| 2025 | ISPDC | FNNS-EC: Federated Non-performing-node-resilient Neural Selector with Energy Constraints. | Xiangyu Ma, Junfeng Wen, Wei Shi |
| 2022 | ICML | A Parametric Class of Approximate Gradient Updates for Policy Optimization. | Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans |
| 2021 | ICML | Characterizing the Gap Between Actor-Critic and Policy Gradient. | Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans |
| 2020 | ICML | Batch Stationary Distribution Estimation. | Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans |
| 2020 | ICML | Domain Aggregation Networks for Multi-Source Domain Adaptation. | Junfeng Wen, Russell Greiner, Dale Schuurmans |
| 2018 | ICLR | Universal Successor Representations for Transfer Reinforcement Learning. | Chen Ma, Junfeng Wen, Yoshua Bengio |
| 2015 | AAAI | Optimal Estimation of Multivariate ARMA Models. | Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans |
| 2015 | IJCAI | Correcting Covariate Shift with the Frank-Wolfe Algorithm. | Junfeng Wen, Russell Greiner, Dale Schuurmans |
| 2014 | ICML | Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. | Junfeng Wen, Chun-Nam Yu, Russell Greiner |