| 2026 | AAAI | LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data. | Fan Li, Shengbo Wang, Ke Li |
| 2026 | AAAI | Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback. | Shengbo Wang, Hong Sun, Ke Li |
| 2025 | AISTATS | Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces. | Shengbo Wang, Nian Si, Jose H. Blanchet, Zhengyuan Zhou |
| 2025 | ISCAS | Neuromorphic Perception and Local Multimodal Haptic Feedback Based Immersive Teleoperation. | Cong Li, Junrong Pan, Shengbo Wang, Zihe Zhao, Shuo Gao |
| 2025 | ISCAS | High-Order Associative Learning Based on Memristive Circuits for Efficient Learning. | Shengbo Wang, Xuemeng Li, Jialin Ding, Weihao Ma, Ying Wang, Luigi G. Occhipinti, Arokia Nathan, Shuo Gao |
| 2024 | AAAI | Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence. | Shengbo Wang, Ke Li |
| 2024 | ICLR | Optimal Sample Complexity for Average Reward Markov Decision Processes. | Shengbo Wang, Jos H. Blanchet, Peter W. Glynn |
| 2024 | MOBICOM | Foes or Friends: Embracing Ground Effect for Edge Detection on Lightweight Drones. | Chenyu Zhao, Ciyu Ruan, Jingao Xu, Haoyang Wang, Shengbo Wang, Jiaqi Li, Jirong Zha, Zheng Yang, Yunhao Liu, Xiao-Ping Zhang, Xinlei Chen |
| 2023 | AISTATS | A Finite Sample Complexity Bound for Distributionally Robust Q-learning. | Shengbo Wang, Nian Si, Jos H. Blanchet, Zhengyuan Zhou |