Class-Balanced Training for Deep Face Recognition. - Yaobin Zhang; Weihong Deng (CVPR Workshops, 2020)

Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition. - Yaobin Zhang; Weihong Deng; Mei Wang; Jiani Hu; Xian Li; Dongyue Zhao; Dongchao Wen (CVPR, 2020)

Parallel hybrid mesh adaptation by refinement and coarsening. - Jing Tang; Pengcheng Cui; Bin Li; Yaobin Zhang; Hang Si (Graph. Model., 2020)

Adaptive Label Noise Cleaning with Meta-Supervision for Deep Face Recognition. - Yaobin Zhang; Weihong Deng; Yaoyao Zhong; Jiani Hu; Xian Li; Dongyue Zhao; Dongchao Wen (ICCV, 2021)

Parallel implementation for dynamic mesh optimization on distributed computer system. - Jing Tang; Jian Zhang; Xiao-Jun Wu; Yaobin Zhang; Nai-Chun Zhou (HPCCT, 2022)

Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. - Yaohua Wang; Yaobin Zhang; Fangyi Zhang; Senzhang Wang; Ming Lin 002; YuQi Zhang; Xiuyu Sun (ICLR, 2022)

Face Clustering via Adaptive Aggregation of Clean Neighbors. - Shiyong Hong; Yaobin Zhang; Xu Ling; Weihong Deng; Yunfeng Yin; Yingjie Zhang; Hongzhi Shi; Dongchao Wen (HCMA@MM, 2022)

Meta Balanced Network for Fair Face Recognition. - Mei Wang; Yaobin Zhang; Weihong Deng (CoRR, 2022)

Meta Balanced Network for Fair Face Recognition. - Mei Wang 001; Yaobin Zhang; Weihong Deng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A -102dBm Sensitivity, 2.2μA Packet-Level-Duty-cycled Wake-Up Receiver with ADPLL achieving -30dB SIR. - Linsheng Zhang; Divya Duvvuri; Suprio Bhattacharya; Anjana Dissanayake; Xinjian Liu; Henry L. Bishop; Yaobin Zhang; Travis N. Blalock; Benton H. Calhoun; Steven M. Bowers (CICC, 2023)

Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification. - Yaobin Zhang; Jianming Lv; Chen Liu; Hongmin Cai (ACM Multimedia, 2023)

Brain-inspired Distributed Memorization Learning for Efficient Feature-free Unsupervised Domain Adaptation. - Jianming Lv; Depin Liang; Zequan Liang; Yaobin Zhang; Sijun Xia (CoRR, 2024)