Scholar
Zhichao Huang
Google Scholar ID: MILCJzAAAAAJ
ByteDance Seed
Citations & Impact
Citations
698
H-index
10
i10-index
10
Publications
20
Co-authors
26
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- [{'PaperTitle': 'SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation', 'Conference/Journal': 'ACL 2025 Findings', 'Authors': 'Ting Xu, Zhichao Huang†, Jiankai Sun, Shanbo Cheng, Wai Lam', 'Notes': '†corresponding author'}, {'PaperTitle': 'On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training', 'Conference/Journal': 'Journal of Machine Learning Research (JMLR)', 'Authors': 'Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk', 'Notes': '[Code]'}, {'PaperTitle': 'RepCodec: A Speech Representation Codec for Speech Tokenization', 'Conference/Journal': 'ACL 2024 [Oral]', 'Authors': 'Zhichao Huang*, Chutong Meng*, Tom Ko', 'Notes': '*equal contribution [Code]'}, {'PaperTitle': 'Fast Adversarial Training with Adaptive Step Size', 'Conference/Journal': 'Transaction on Image Processing (TIP)', 'Authors': 'Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang', 'Notes': '[Code]'}, {'PaperTitle': 'Towards Stable and Efficient Adversarial Training against ℓ1 Bounded Adversarial Attacks', 'Conference/Journal': 'Fortieth International Conference on Machine Learning (ICML 2023)', 'Authors': 'Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk', 'Notes': '[Code]'}, {'PaperTitle': 'Black-Box Prompt Learning for Pre-trained Language Models', 'Conference/Journal': 'Transactions on Machine Learning Research (TMLR)', 'Authors': 'Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Yong Lin, Xiao Zhou, Tong Zhang', 'Notes': '[Code]'}, {'PaperTitle': 'Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling', 'Conference/Journal': 'CVPR 2021', 'Authors': 'Zhichao Huang, Xintong Han, Jia Xu, Tong Zhang', 'Notes': '[Code][Video]'}, {'PaperTitle': 'Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems', 'Conference/Journal': 'NeurIPS 2020', 'Authors': 'Luo Luo, Haishan Ye, Zhichao Huang, Tong Zhang', 'Notes': ''}, {'PaperTitle': 'Black-box Adversarial Attack with Transferable Model-Based Embedding', 'Conference/Journal': 'ICLR 2020', 'Authors': 'Zhichao Huang, Tong Zhang', 'Notes': '[Code]'}, {'PaperTitle': 'Hessian-Aware Zeroth-Order Optimization', 'Conference/Journal': 'T-PAMI', 'Authors': 'Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang', 'Notes': ''}, {'PaperTitle': 'Enhancing CNN Incremental Learning Capability with an Expanded Network', 'Conference/Journal': 'ICME 2018', 'Authors': 'Shanshan Cai*, Zhuwei Xu*, Zhichao Huang*, Yueru Chen, C.-C. Jay Kuo', 'Notes': '*equal contribution'}, {'PaperTitle': 'CorrAttack: Black-box Adversarial Attack with Structured Search', 'Conference/Journal': '', 'Authors': 'Zhichao Huang*, Yaowei Huang*, Tong Zhang', 'Notes': '*equal contribution'}]
Background
- Currently a Research Scientist at ByteDance AI-Lab. Before joining ByteDance, he received his Ph.D. in Mathematics from The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Tong Zhang. Prior to that, he obtained his Bachelor's degree in Electronic Engineering from Tsinghua University.
