| 2025 | ICML | A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents. | Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun |
| 2025 | ISCAS | Design of a Real-time Multi-individual Boxing Classification System Using Multiple Mode Sensing. | Ziyao Zhao, Lingfeng Wu, Kaiwen Wang, Yifei Wang, Chenyi Guo, Ji Wu, Milin Zhang |
| 2024 | CGI | CF-Net: A Hybrid CNN-Random Forest Network for Depression Classification in Brain MRI. | Hui Ding, Chong Liu, Yawei Zhang, Bo Li, Yuhan Huang, Jiacheng Lu, Kaiwen Wang, Rongyin Qin, Yuanyuan Shang |
| 2024 | EMNLP | Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. | Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ram, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Lonard Hussenot, Olivier Bachem, Edouard Leurent |
| 2024 | ICML | Switching the Loss Reduces the Cost in Batch Reinforcement Learning. | Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvri |
| 2024 | ICML | More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning. | Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun |
| 2024 | IROS | Avoiding Object Damage in Robotic Manipulation. | Erica Aduh, Fan Wang, Dylan Randle, Kaiwen Wang, Priyesh Shah, Chaitanya Mitash, Manikantan Nambi |
| 2023 | COLT | Provable Benefits of Representational Transfer in Reinforcement Learning. | Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang |
| 2023 | HCI | Experience Economy and Green Economy Research in China: A 30-Year Bibliometric Analysis. | Bo Yang, Kaiwen Wang, Xiaodan Zhan, Siyu Chen, Zhen Liu |
| 2023 | ICML | Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR. | Kaiwen Wang, Nathan Kallus, Wen Sun |
| 2022 | ICML | Learning Bellman Complete Representations for Offline Policy Evaluation. | Jonathan D. Chang, Kaiwen Wang, Nathan Kallus, Wen Sun |
| 2022 | ICML | Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning. | Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou |
| 2020 | INDIN | An Adaptive Reduced Method for Wind Direction Retrieval from X-Band Marine Radar Images. | Hui Wang, Kaiwen Wang, Haiyang Qiu, Pengfei Zhi, Yu Li, Wei Chen |
| 2018 | BMVC | Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. | Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu |
| 2018 | BMVC | Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. | Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu |
| 2018 | MICCAI | Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. | Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu |