Zhuo Huang Ph.D. Student Sydney AI Centre School of Computer Science The University of Sydney Address: J12/ 1 Cleveland St, Darlington, NSW 2008, Australia Email: zhuohuang DOT ai AT gmail DOT com

Biography

I am currently a last-year Ph.D. Student at the School of Computer Science, The University of Sydney, feeling fortunate to learn from Prof. Tongliang Liu. I was a visiting scholar at THU. I aim to achieve generalized AI to benefit human lives, for which I devote my efforts to Multi-Modal/Distribution Learning and AI Safety.

My Quote

“It ain’t what you don’t know that gets you into trouble, it’s what you know for sure that just ain’t so.” --Mark Twain

Collaborations

I am actively seeking research collaborations in areas such as generalized machine learning, multi-modal learning, out-of-distribution generalization, and AI safety. If you are interested in working together, please feel free to contact me.

Publication

• NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
  H. Wang, Z. Huang, Z. Lin, , T. Liu
  NeurIPS 2024
  

• Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
  Z. Huang, C. Liu, Y. Dong, H. Su, S. Zheng, T. Liu
  ICML 2024
  

• Improving Non-Transferable Representation Learning by Harnessing Content and Style [Spotlight]
  Z. Hong, Z. Wang, L. Shen, Y. Yao, Z. Huang, S. Chen, C. Yang, M. Gong, T. Liu
  ICLR 2024
  

• Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization
  Z. Huang, M. Li, L. Shen, J. Yu, C. Gong, B. Han, T. Liu
  IJCV 2024
  

• FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
  Z. Huang, L. Shen, J. Yu, B. Han, T. Liu
  NeurIPS 2023
  

• Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
  Z. Huang*, M. Zhu*, X. Xia, L. Shen, J. Yu, C. Gong, B. Han, B. Du, T. Liu
  CVPR 2023
  

• Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
  Z. Huang, X. Xia, L. Shen, B. Han, M. Gong, C. Gong, T. Liu
  ICLR 2023
  

• Universal Semi-Supervised Learning
  Z. Huang, X. Chao, B. Han, J. Yang, C. Gong
  NeurIPS 2021
  

Academic Services

• Conference Reviewer: ICML, NeurIPS, ICLR, CVPR, IJCAI, AISTATS, UAI, ACM MM, CIKM, CAI, etc.

• Journal Reviewer: TPAMI, TMM, TMLR, MLJ, NEUNET, etc.