| 2025 | AAAI | Progressive Distribution Matching for Federated Semi-Supervised Learning. | Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu |
| 2025 | CVPR | A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment. | Xuan Wang, Xitong Gao, Dongping Liao, Tianrui Qin, Yu-liang Lu, Cheng-Zhong Xu |
| 2025 | EMNLP | Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. | Guanghui Song, Dongping Liao, Yiren Zhao, Kejiang Ye, Chengzhong Xu, Xitong Gao |
| 2024 | AAAI | Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. | Dongping Liao, Xitong Gao, Chengzhong Xu |
| 2024 | AAAI | BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. | Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Chengzhong Xu |
| 2024 | ICONIP | Tackling Periodic Distribution Shifts in Federated Learning with Half-Cycle Knowledge Distillation. | Xiangyu Pang, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2024 | IJCAI | MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. | Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu |
| 2023 | CVPR | Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. | Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu |
| 2023 | ICANN | FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. | Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2020 | ECAI | Deep Density-Aware Count Regressor. | Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv |