Yaobin Zhang (张耀斌)


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I received my M.S. degree in Information and Communication Engineering from Beijing University of Posts and Telecommunications (BUPT) in 2022, under the advision of Prof. Weihong Deng .

Before that, I received my B.S. degree in Communication Engineering, also from BUPT, in 2019.

During my college years, I did research in the field of computer vision and deep learning. Now I'm working on GPU accelerated computing at NVIDIA.

Email: zhangyaobin.zyb AT outlook.com

Talk

Check out our talk at GTC 2024: Accelerate Recommender Systems and Increase GPU Utilization With Multiple CUDA Streams. [GTC website, or our live footage (code: m93x)]

Career

Publications

  1. Yaobin Zhang, Weihong Deng, et al., Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition, CVPR 2020. [paper]
  2. Yaobin Zhang, Weihong Deng, et al., Adaptive Label Noise Cleaning with Meta-Supervision for Deep Face Recognition, ICCV 2021. [paper]
  3. Yaobin Zhang, Weihong Deng, Class-Balanced Training for Deep Face Recognition, CVPR Workshop 2020. [paper]
  4. Mei Wang, Yaobin Zhang, Weihong Deng, Meta Balanced Network for Fair Face Recognition, IEEE TPAMI. [paper]
  5. Yaohua Wang, Yaobin Zhang, et al., Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space, ICLR 2022. [openreview]
  6. Shiyong Hong, Yaobin Zhang, et al., Face Clustering via Adaptive Aggregation of Clean Neighbors, HCMA 2022. [paper]

Datasets

  1. BUPT-XFace + RFW: A series of databases for improving fairness in face recognition. [homepage]
  2. MillionCelebs: One Million Celebrity Face Recognition Dataset. [homepage]
  3. BUPT-CBFace: A Class-Balanced Dataset for Efficient Face Recognition. [homepage]

Awards