Target localization sensitivity using MIMO radar in the presence of antenna position uncertainties. - Bin Sun 013; Xufeng Zhang; Dongping Liao; Xiang Li 014 (SAM, 2014)

High Resolution Time-Frequency Distribution Based on Short-Time Sparse Representation. - Zhen Liu 004; Peng You; Xizhang Wei; Dongping Liao; Xiang Li 014 (Circuits Syst. Signal Process., 2014)

Performance analysis of multiple-element retrodirective cross-eye jamming based on linear array. - Tianpeng Liu; Dongping Liao; Xizhang Wei; Lei Li (IEEE Trans. Aerosp. Electron. Syst., 2015)

Platform skin return and multiple-element linear retrodirective cross-eye jamming. - Tianpeng Liu; Zhen Liu 004; Dongping Liao; Xizhang Wei (IEEE Trans. Aerosp. Electron. Syst., 2016)

Deep Density-Aware Count Regressor. - Zhuojun Chen; Junhao Cheng; Yuchen Yuan; Dongping Liao; Yizhou Li; Jiancheng Lv 001 (ECAI, 2020)

Improving Few-Shot Image Classification with Self-supervised Learning. - Shisheng Deng; Dongping Liao; Xitong Gao; Juanjuan Zhao; Kejiang Ye (CLOUD, 2022)

A Survey on Cross-Domain Few-Shot Image Classification. - Shisheng Deng; Dongping Liao; Xitong Gao; Juanjuan Zhao; Kejiang Ye (BigData, 2023)

Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. - Dongping Liao; Xitong Gao; Yiren Zhao; Chengzhong Xu 001 (CVPR, 2023)

FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. - Shisheng Deng; Dongping Liao; Xitong Gao; Juanjuan Zhao; Kejiang Ye (ICANN (1), 2023)

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li; Huanming Shen; Wenxuan Zeng; Dongping Liao; Guofa Li; Shengbo Eben Li; Chengzhong Xu 001 (CoRR, 2023)

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. - Dongping Liao; Xitong Gao; Chengzhong Xu 001 (AAAI, 2024)

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li; Huanming Shen; Wenxuan Zeng; Dongping Liao; Guofa Li; Chengzhong Xu 001 (AAAI, 2024)

Tackling Periodic Distribution Shifts in Federated Learning with Half-Cycle Knowledge Distillation. - Xiangyu Pang; Dongping Liao; Xitong Gao; Juanjuan Zhao; Kejiang Ye (ICONIP (2), 2024)

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li; Chengyue Wang 001; Huanming Shen; Dongping Liao; Bonan Wang; Guofa Li; Chengzhong Xu 001 (IJCAI, 2024)

Progressive Distribution Matching for Federated Semi-Supervised Learning. - Dongping Liao; Xitong Gao; Yabo Xu; Cheng-Zhong Xu 001 (AAAI, 2025)

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 001 (CVPR, 2025)

Lie Detector: Unified Backdoor Detection via Cross-Examination Framework. - Xuan Wang; Siyuan Liang; Dongping Liao; Han Fang; Aishan Liu; Xiaochun Cao; Yu-liang Lu; Ee-Chien Chang; Xitong Gao (CoRR, 2025)

FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning. - Dongping Liao; Xitong Gao; Yabo Xu; Cheng-Zhong Xu 001 (CoRR, 2025)

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization. - Guanghui Song; Dongping Liao; Yiren Zhao; Kejiang Ye; ChengZhong Xu 001; Xitong Gao (CoRR, 2025)