ZHUO HUANG

Postdoctoral Researcher at Australian Institute for Machine Learning (AIML), Adelaide University

News:

06/2026, I started my Postdoc at Causal AI Group, AIML, Adelaide University.
06/2026, I gratefully received the Top Reviewer Award (3%) from UAI 2026.
01/2026, I gratefully received the USYD Faculty of Engineering Career Advancement Award.
10/2025, I was invited to give a talk on "Machine-Supervised Learning" at SJTU International Young Scholar Workshop, thanks to Prof. Chen Gong.
10/2025, I started my visit at RIKEN AIP, Japan, Tokyo.
09/2025, I was invited to give a talk on "Generalizable Machine Learning" at Sydney University Data Society (SUDATA).
09/2025, I was invited to give a talk on "Out-of-Modal Generalization" at the Annual Conference on Postgraduate Research in the Engineering Student Society (PRESS).
06/2025, One paper in Machine Unlearning got accepted at ICML 2026, congrats to Mr. Puning Yang and Dr. Qizhou Wang.
06/2025, I was awarded CVPR 2025 Outstanding Reviewer.
04/2025, I started my visit at MBZUAI, Abu Dhabi, UAE.
04/2025, I attended ICLR 2025 in Singapore.
03/2025, I was awarded with RSF and PRSS Funding from the Faculty of Engineering and the University of Sydney, respectively.
03/2025, One paper was accepted as an Oral presentation at ACM MM 2025, congrats to Mr. Xiaohao Liu and Prof. Xiaobo Xia.

I am a Postdoctoral Researcher at Causal AI Group, AIML, led by Prof. Javen Shi. I obtained my PhD in Computer Science at the University of Sydney, supervised by Prof. Tongliang Liu. I was a visiting PhD student at RIKEN AIP, hosted by Prof. Masashi Sugiyama. I was a visiting PhD student at MBZUAI, hosted by Prof. Tongliang Liu. I was a visiting PhD student at Tsinghua University, hosted by Prof. Hang Su. I was an intern at JD.com, working in the ML group led by Prof. Li Shen. I was awarded the Faculty Career Advancement Award, the TML Research Gold Award, the LEAP Fellow, the National Scholarship, and various Outstanding Reviewer Awards and Outstanding Dissertation Awards.

I was an academic tutor for COMP5328/4328: Advanced Machine Learning and COMP5318: Machine Learning and Data Mining, and I was the lecturer for Computer Science tutorial: Machine Learning under Distribution Shifts.

I am fortunate to work with some brilliant minds:

Prof. Masashi Sugiyama, RIKEN AIP & The University of Tokyo
Prof. Javen Shi, Adelaide University
Prof. Gang Niu, RIKEN AIP
Prof. Tongliang Liu, The University of Sydney
Prof. Chen Gong, Shanghai Jiaotong University
Prof. Mingming Gong, The University of Melbourne
Prof. Bo Han, Hong Kong Baptist University
Prof. Hang Su, Tsinghua University
Prof. Yinpeng Dong, Tsinghua University
Prof. Li Shen, Sun Yat-sen University
Dr. Yuhang Liu, Adelaide University
Dr. Erdun Gao, Adelaide University
Prof. Yu Yao, The University of Sydney
Prof. Xiaobo Xia, University of Science and Technology China
Dr. Qizhou Wang, RIKEN AIP
Mr. Ziming Hong, The University of Sydney
Mr. Muyang Li, The University of Sydney
Mr. Quan M. Tran, The University of Sydney
Mr. Andrew Cao, The University of Sydney
Mr. Puning Yang, MBZUAI
Mr. Xiaohao Liu, Nanyang Technological University

My research interests mainly include, but not limited to:

Generalizable AI: ICLR23, CVPR23, ICLR24, IJCV24
Multi-Modal Learning: ICML24, ACM MM24, ICLR25
Trustworthy Machine Learning: NeurIPS21, NeurIPS23, NeurIPS24, ICML25, TMM22
Agentic AI: arXiv26
Physical AI: arXiv26

For more publications, please refer to Google Scholar.

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