Research on Individual Identification Based on EEG Signals. - Rongyan Ren; Bingyu Hu; Huiru Cao; Dongmei Sun; Xiaopei Wu (CISP-BMEI, 2019)

Adversarial Disentanglement and Correlation Network for Rgb-Infrared Person Re-Identification. - Bingyu Hu; Jiawei Liu 001; Zhengjun Zha (ICME, 2021)

Cluster and Scatter: A Multi-grained Active Semi-supervised Learning Framework for Scalable Person Re-identification. - Bingyu Hu; Zheng-Jun Zha; Jiawei Liu 001; Xierong Zhu; Hongtao Xie (ACM Multimedia, 2021)

MFMS: Learning Modality-Fused and Modality-Specific Features for Deepfake Detection and Localization Tasks. - Yi Zhang; Changtao Miao; Man Luo; Jianshu Li; Wenzhong Deng; Weibin Yao; Zhe Li; Bingyu Hu; Weiwei Feng; Tao Gong; Qi Chu 001 (ACM Multimedia, 2024)

Inclusion 2024 Global Multimedia Deepfake Detection: Towards Multi-dimensional Facial Forgery Detection. - Yi Zhang; Weize Gao; Changtao Miao; Man Luo; Jianshu Li; Wenzhong Deng; Zhe Li; Bingyu Hu; Weibin Yao; Wenbo Zhou; Tao Gong; Qi Chu 001 (CoRR, 2024)

Unleashing Knowledge Potential of Source Hypothesis for Source-Free Domain Adaptation. - Bingyu Hu; Jiawei Liu 001; Kecheng Zheng; Zheng-Jun Zha (IEEE Trans. Multim., 2024)

Exert Diversity and Mitigate Bias: Domain Generalizable Person Re-identification with a Comprehensive Benchmark. - Bingyu Hu; Jiawei Liu 001; Yufei Zheng; Kecheng Zheng; Zheng-Jun Zha (Int. J. Comput. Vis., 2024)

Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models. - Xingran Zhou; Kun Yang; Changtao Miao; Bingyu Hu; Zhuoer Xu; Shiwen Cui; Changhua Meng; Dan Hong (NAACL (Long Papers), 2025)