Weakly-supervised deep self-learning for face recognition. - Binghui Chen; Weihong Deng (ICME, 2016)

Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation. - Binghui Chen; Weihong Deng; Junping Du 001 (CVPR, 2017)

Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership. - Weihong Deng; Jiani Hu; Nanhai Zhang; Binghui Chen; Jun Guo 002 (Pattern Recognit., 2017)

Deep Correlation Feature Learning for Face Verification in the Wild. - Weihong Deng; Binghui Chen; Yuke Fang; Jiani Hu (IEEE Signal Process. Lett., 2017)

Virtual Class Enhanced Discriminative Embedding Learning. - Binghui Chen; Weihong Deng; Haifeng Shen (NeurIPS, 2018)

ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating. - Binghui Chen; Weihong Deng (CoRR, 2018)

Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision. - Wanxin Tian; Zixuan Wang; Haifeng Shen; Weihong Deng; Binghui Chen; Xiubao Zhang (CoRR, 2018)

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering. - Binghui Chen; Weihong Deng (AAAI, 2019)

Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval. - Binghui Chen; Weihong Deng (CVPR, 2019)

Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. - Tongtong Yuan; Weihong Deng; Jian Tang 008; Yinan Tang; Binghui Chen (CVPR, 2019)

Mixed High-Order Attention Network for Person Re-Identification. - Binghui Chen; Weihong Deng; Jiani Hu (ICCV, 2019)

Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering. - Binghui Chen; Weihong Deng (Pattern Recognit., 2019)

MedSRGAN: medical images super-resolution using generative adversarial networks. - Yuchong Gu; Zitao Zeng; Haibin Chen; Jun Wei 002; Yaqin Zhang; Binghui Chen; Yingqin Li; Yujuan Qin; Qing Xie; Zhuoren Jiang; Yao Lu 007 (Multim. Tools Appl., 2020)

Deep Metric Learning with Graph Consistency. - Binghui Chen; Pengyu Li; Zhaoyi Yan; Biao Wang; Lei Zhang 006 (AAAI, 2021)

VirFace: Enhancing Face Recognition via Unlabeled Shallow Data. - Wenyu Li; Tianchu Guo; Pengyu Li; Binghui Chen; Biao Wang; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2021)

Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting. - Binghui Chen; Zhaoyi Yan; Ke Li 004; Pengyu Li; Biao Wang; Wangmeng Zuo; Lei Zhang 006 (ICCV, 2021)

Dense Learning based Semi-Supervised Object Detection. - Binghui Chen; Pengyu Li; Xiang Chen; Biao Wang; Lei Zhang 006; Xian-Sheng Hua 001 (CVPR, 2022)

PRNet++: Learning towards generalized occluded pedestrian detection via progressive refinement network. - Xiaolin Song; Binghui Chen; Pengyu Li; Biao Wang; Honggang Zhang (Neurocomputing, 2022)

Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing. - Kaicheng Li; Hongyu Yang; Binghui Chen; Pengyu Li; Biao Wang; Di Huang 001 (AAAI, 2023)

Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection. - Xiaolin Song; Binghui Chen; Pengyu Li; Jun-Yan He; Biao Wang; Yifeng Geng; Xuansong Xie; Honggang Zhang (CVPR, 2023)

DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving. - Jun-Yan He; Zhi-Qi Cheng; Chenyang Li 007; Wangmeng Xiang; Binghui Chen; Bin Luo 008; Yifeng Geng; Xuansong Xie (IJCAI, 2023)

VirFace∞: A Semi-Supervised Method for Enhancing Face Recognition via Unlabeled Shallow Data. - Wenyu Li; Pengyu Li; Tianchu Guo; Binghui Chen; Biao Wang; Wangmeng Zuo; Lei Zhang 006 (IEEE Trans. Inf. Forensics Secur., 2023)

Regressor-Segmenter Mutual Prompt Learning for Crowd Counting. - Mingyue Guo; Li Yuan 007; Zhaoyi Yan; Binghui Chen; Yaowei Wang 001; Qixiang Ye (CVPR, 2024)

ShoeModel: Learning to Wear on the User-Specified Shoes via Diffusion Model. - Wenyu Li; Binghui Chen; Yifeng Geng; Xuansong Xie; Wangmeng Zuo (ECCV (69), 2024)

Strictly-ID-Preserved and Controllable Accessory Advertising Image Generation. - Youze Xue; Binghui Chen; Yifeng Geng; Xuansong Xie; Jiansheng Chen; Hongbing Ma (CoRR, 2024)

VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing. - Binghui Chen; Chongyang Zhong; Wangmeng Xiang; Yifeng Geng; Xuansong Xie (CoRR, 2024)

AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing. - DuoSheng Chen; Binghui Chen; Yifeng Geng; Liefeng Bo (CoRR, 2024)

Confusion-Based Metric Learning for Regularizing Zero-Shot Image Retrieval and Clustering. - Binghui Chen; Weihong Deng; Biao Wang; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SA3WT: Adaptive Wavelet-Based Transformer with Self-Paced Auto Augmentation for Face Forgery Detection. - Yihui Li; Yifan Zhang; Hongyu Yang; Binghui Chen; Di Huang 001 (Int. J. Comput. Vis., 2024)

AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation. - Junjie He; Yuxiang Tuo; Binghui Chen; Chongyang Zhong; Yifeng Geng; Liefeng Bo (CoRR, 2025)

Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting. - Mingyue Guo; Binghui Chen; Zhaoyi Yan; Yaowei Wang 001; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2025)