| 2025 | ICASSP | Interactive and Balanced Multimodal Learning via Cross Attention and Gradient Modulation for Compressed Video Action Recognition. | Xinqi Li, Shaojie Li, Ming Ma |
| 2025 | IJCAI | Towards Improved Risk Bounds for Transductive Learning. | Bowei Zhu, Shaojie Li, Yong Liu |
| 2025 | Interspeech | D-GAT: Dual Graph Attention Network for Global HRTF Interpolation. | Junsheng Hu, Shaojie Li, Qintuya Si, De Hu |
| 2025 | Interspeech | Temporal Convolutional Network with Smoothed and Weighted Losses for Distant Voice Activity and Overlapped Speech Detection. | Shaojie Li, Qintuya Si, De Hu |
| 2024 | ICML | Concentration Inequalities for General Functions of Heavy-Tailed Random Variables. | Shaojie Li, Yong Liu |
| 2024 | ICML | Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses. | Shaojie Li, Bowei Zhu, Yong Liu |
| 2024 | IJCAI | Towards Sharper Risk Bounds for Minimax Problems. | Bowei Zhu, Shaojie Li, Yong Liu |
| 2024 | IGARSS | A Multi-Temporal Remote Sensing Image Dataset for Building Change Detection in Chinese Regions. | Pengfei Chen, Ting Lu, Xinyan Li, Shaojie Li, Yihao Wu, Jian Xiao |
| 2023 | AAAI | Understanding the Generalization Performance of Spectral Clustering Algorithms. | Shaojie Li, Sheng Ouyang, Yong Liu |
| 2023 | CVPR | Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation. | Yifeng Shi, Feng Lv, Xinliang Wang, Chunlong Xia, Shaojie Li, Shujie Yang, Teng Xi, Gang Zhang |
| 2023 | ECAI | High Probability Analysis for Non-Convex Stochastic Optimization with Clipping. | Shaojie Li, Yong Liu |
| 2023 | ICANN | SDGC-YOLOv5: A More Accurate Model for Small Object Detection. | Zhiming Lu, Ying Chen, Shaojie Li, Ming Ma |
| 2023 | ICASSP | YOLOX-B: A Better Yolox Model for Real-Time Driver Behavior Detection. | Xu Guo, Ming Ma, Jiaqiang Zhang, Shaojie Li |
| 2023 | ICASSP | MTFD: Multi-Teacher Fusion Distillation for Compressed Video Action Recognition. | Jinxin Guo, Jiaqiang Zhang, Shaojie Li, Xiaojing Zhang, Ming Ma |
| 2023 | ICASSP | Knowledge Distillation with Active Exploration and Self-Attention Based Inter-Class Variation Transfer for Image Segmentation. | Yifan Zhang, Shaojie Li, Xuan Yang |
| 2023 | ICLR | Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses. | Xiaolin Hu, Shaojie Li, Yong Liu |
| 2023 | ICML | Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction. | Shaojie Li, Yong Liu |
| 2023 | ICPADS | META: Motion Excitation With Temporal Attention for Compressed Video Action Recognition. | Shaojie Li, Jiaqi Li, Jinxin Guo, Ming Ma |
| 2023 | SMC | IFF-Net: I-Frame Fusion Network for Compressed Video Action Recognition. | Shaojie Li, Jinxin Guo, Jiaqiang Zhang, Xu Guo, Ming Ma |
| 2022 | ICLR | High Probability Generalization Bounds with Fast Rates for Minimax Problems. | Shaojie Li, Yong Liu |
| 2022 | ICML | High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails. | Shaojie Li, Yong Liu |
| 2021 | ICML | Sharper Generalization Bounds for Clustering. | Shaojie Li, Yong Liu |
| 2018 | IGARSS | Feature Learning For SAR Images Using Convolutional Neural Network. | Qi Liu, Shaojie Li, Shaohui Mei, Ruoqiao Jiang, Jieqi Li |