I’m currently a PhD candidate at MReaL Lab, Nanyang Technological University advised by Prof. Hanwang Zhang. I am gratefully supported by AISG PhD fellowship. Prior to the PhD, I received B.E. and M.E. degree from Tsinghua University in 2016 and 2019.

I focus on learning unbiased models against the distribution shifts in computer vision, vision-language, long-tailed classification, etc.

Experiences

• Nanyang Techonological University, Singapore.
  PhD of Computer Science.
  2021-Now.

• SenseTime Technology, Beijing.
  Computer Vision Researcher.
  2019-2021.

• Tsinghua University, Beijing.
  Master of Electrical Engineering.
  2016-2019.

• Tsinghua Univeristy, Beijing.
  Bachelor of Engineering.
  2012-2016.

Publications

(* denotes equal contribution. ^ denotes corresponding author)

• Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models.
  Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang
  Main Track, Conference on Neural Information Processing Systems. NeurIPS 2023.
  paper code

• Prompt-aligned Gradient for Prompt Tuning.
  Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang.
  Main Track, IEEE International Conference on Computer Vision. ICCV 2023.
  paper code

• Debiased Fine-Tuning for Vision-language Models by Prompt Regularization.
  Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang.
  Main Track Oral, AAAI Conference on Artificial Intelligence. AAAI 2023.
  paper code

• Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning.
  Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng.
  Main Track Oral, AAAI Conference on Artificial Intelligence. AAAI 2023.
  paper

• Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification.
  Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang.
  Main Track Oral, AAAI Conference on Artificial Intelligence. AAAI 2022.
  paper code

• Structure-Coherent Deep Feature Learning for Robust Face Alignment.
  *Chunze Lin, *Beier Zhu, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu, Jie Zhou.
  IEEE Transactions on Image Processing. TIP 2021.
  paper code

• Fault Location for Radial Distribution Network via Topology and Reclosure-Generating Traveling Waves.
  Shenxing Shi, ^Beier Zhu, Aoyu Lei, Xinzhou Dong.
  IEEE Transactions on Smart Grid. TSG 2019.
  paper

• Fault Classification for Transmission Lines Based on Group Sparse Representation.
  Shenxing Shi, ^Beier Zhu, Sohrab Mirsaeidi, Xinzhou Dong.
  IEEE Transactions on Smart Grid. TSG 2018.
  paper

• Extending the Capacity of Cvae for Face Synthesis and Modeling.
  Shengju Qian, Wayne Wu, Yangxiaokang Liu, Beier Zhu, Fumin Shen.
  Workshops, Conference on Neural Information Processing Systems. NeurIPS 2018.
  paper

• Polygonal Region Detection.
  Beier Zhu, Rui Zhang.
  US Patent, 2022.