| 2026 | KDD | On Saddle Point Avoidance and Stationary Distribution of Sharpness-Aware Minimization. | Tao Sun, Fan Jia, Bao Wang |
| 2025 | CVPR | Investigating the Role of Weight Decay in Enhancing Nonconvex SGD. | Tao Sun, Yuhao Huang, Li Shen, Kele Xu, Bao Wang |
| 2025 | ICASSP | Semantic-Aware Prompt Learning for Multimodal Sarcasm Detection. | Guangjin Wang, Bao Wang, Fuyong Xu, Zhenfang Zhu, Peipei Wang, Ru Wang, Peiyu Liu |
| 2025 | ICLR | A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules. | Shih-Hsin Wang, Yuhao Huang, Justin M. Baker, Yuan-En Sun, Qi Tang, Bao Wang |
| 2025 | ICML | Improving Flow Matching by Aligning Flow Divergence. | Yuhao Huang, Taos Transue, Shih-Hsin Wang, William M. Feldman, Hong Zhang, Bao Wang |
| 2024 | AISTATS | Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs. | Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang |
| 2024 | ICLR | Efficient Score Matching with Deep Equilibrium Layers. | Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang |
| 2024 | ICLR | Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. | Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang |
| 2024 | ICML | An Explicit Frame Construction for Normalizing 3D Point Clouds. | Justin M. Baker, Shih-Hsin Wang, Tommaso de Fernex, Bao Wang |
| 2024 | ICNP | Towards Practical Overlay Networks for Decentralized Federated Learning. | Yifan Hua, Jinlong Pang, Xiaoxue Zhang, Yi Liu, Xiaofeng Shi, Bao Wang, Yang Liu, Chen Qian |
| 2023 | ICML | Implicit Graph Neural Networks: A Monotone Operator Viewpoint. | Justin M. Baker, Qingsong Wang, Cory D. Hauck, Bao Wang |
| 2023 | ICML | Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. | Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang |
| 2022 | ICASSP | Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. | Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin |
| 2022 | ICLR | GRAND++: Graph Neural Diffusion with A Source Term. | Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang |
| 2022 | ICML | Adaptive Random Walk Gradient Descent for Decentralized Optimization. | Tao Sun, Dongsheng Li, Bao Wang |
| 2022 | ICMLA | Adversarial Attacks on Deep Temporal Point Process. | Samira Khorshidi, Bao Wang, George O. Mohler |
| 2021 | AAAI | Stability and Generalization of Decentralized Stochastic Gradient Descent. | Tao Sun, Dongsheng Li, Bao Wang |
| 2021 | MICCAI | Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. | Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia |
| 2020 | GLOBECOM | Joint Trajectory and Passive Beamforming Design for Secure UAV Networks with RIS. | Hui Long, Ming Chen, Zhaohui Yang, Zhiyang Li, Bao Wang, Yun Xu, Mohammad Shikh-Bahaei |