Towards Noise-Robust Neural Networks via Progressive Adversarial Training. - Hang Yu 016; Aishan Liu; Xianglong Liu 001; Jichen Yang; Chongzhi Zhang (CoRR, 2019)

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (CoRR, 2019)

Training Robust Deep Neural Networks via Adversarial Noise Propagation. - Aishan Liu; Xianglong Liu 001; Chongzhi Zhang; Hang Yu 016; Qiang Liu 001; Junfeng He (CoRR, 2019)

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Bowen Cao; Chongzhi Zhang; Hang Yu 016 (ECCV (13), 2020)

Patch Attack for Automatic Check-out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Chongzhi Zhang; Bowen Cao; Hang Yu 016 (CoRR, 2020)

Towards Overcoming False Positives in Visual Relationship Detection. - Daisheng Jin; Xiao Ma 006; Chongzhi Zhang; Yizhuo Zhou; Jiashu Tao; Mingyuan Zhang; Haiyu Zhao; Shuai Yi; Zhoujun Li; Xianglong Liu 001; Hongsheng Li 001 (CoRR, 2020)

Towards Overcoming False Positives in Visual Relationship Detection. - Daisheng Jin; Xiao Ma; Chongzhi Zhang; Yizhuo Zhou; Jiashu Tao; Mingyuan Zhang; Zhoujun Li (BMVC, 2021)

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. - Chongzhi Zhang; Mingyuan Zhang; Shanghang Zhang; Daisheng Jin; Qiang Zhou; Zhongang Cai; Haiyu Zhao; Shuai Yi; Xianglong Liu 001; Ziwei Liu 002 (CoRR, 2021)

Understanding adversarial robustness via critical attacking route. - Tianlin Li; Aishan Liu; Xianglong Liu 001; Yitao Xu; Chongzhi Zhang; Xiaofei Xie (Inf. Sci., 2021)

Training Robust Deep Neural Networks via Adversarial Noise Propagation. - Aishan Liu; Xianglong Liu 001; Hang Yu 016; Chongzhi Zhang; Qiang Liu 001; Dacheng Tao (IEEE Trans. Image Process., 2021)

Progressive Diversified Augmentation for General Robustness of DNNs: A Unified Approach. - Hang Yu 016; Aishan Liu; Gengchao Li; Jichen Yang; Chongzhi Zhang (IEEE Trans. Image Process., 2021)

Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (IEEE Trans. Image Process., 2021)

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. - Chongzhi Zhang; Mingyuan Zhang; Shanghang Zhang; Daisheng Jin; Qiang Zhou; Zhongang Cai; Haiyu Zhao; Xianglong Liu 001; Ziwei Liu 002 (CVPR, 2022)

Large Motion Model for Unified Multi-modal Motion Generation. - Mingyuan Zhang; Daisheng Jin; Chenyang Gu; Fangzhou Hong; Zhongang Cai; Jingfang Huang; Chongzhi Zhang; Xinying Guo; Lei Yang 045; Ying He 001; Ziwei Liu 002 (ECCV (13), 2024)

Conditional Logical Message Passing Transformer for Complex Query Answering. - Chongzhi Zhang; Zhiping Peng; Junhao Zheng; Qianli Ma 001 (KDD, 2024)

Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization. - Chongzhi Zhang; Mingyuan Zhang; Zhiyang Teng; Jiayi Li; Xizhou Zhu; Lewei Lu; Ziwei Liu 002; Aixin Sun (CoRR, 2024)

Balancing the Causal Effects in Class-Incremental Learning. - Junhao Zheng; Ruiyan Wang; Chongzhi Zhang; Huawen Feng; Qianli Ma 001 (CoRR, 2024)

Large Motion Model for Unified Multi-Modal Motion Generation. - Mingyuan Zhang; Daisheng Jin; Chenyang Gu; Fangzhou Hong; Zhongang Cai; Jingfang Huang; Chongzhi Zhang; Xinying Guo; Lei Yang 059; Ying He 001; Ziwei Liu 002 (CoRR, 2024)

Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering. - Chongzhi Zhang; Zhiping Peng; Junhao Zheng; Linghao Wang; Ruifeng Shi; Qianli Ma 001 (CoRR, 2024)

TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries. - Renjie Liang; Li Li; Chongzhi Zhang; Jing Wang 060; Xizhou Zhu; Aixin Sun (CoRR, 2024)

A Flexible and Scalable Framework for Video Moment Search. - Chongzhi Zhang; Xizhou Zhu; Aixin Sun (CoRR, 2025)

Neural-Symbolic Message Passing with Dynamic Pruning. - Chongzhi Zhang; Junhao Zheng; Zhiping Peng; Qianli Ma 001 (CoRR, 2025)