Haiteng Zhao
Fourth year Ph.D student, Peking University
zhaohaiteng [AT] pku.edu.cn
Bio
I am a fourth-year Ph.D. student in the Department of Machine Intelligence at Peking University. Currently, I am conducting research at Sigma Lab, Peking University, supervised by Prof. Zhihong Deng. I am also working at the University of Hong Kong with Lingpeng Kong and Qi Liu on many exciting projects.
Previously, I attained a B.Sc. degree in Psychology from Peking University. My current focus lies in exploring whether deep learning can effectively encode human-like intelligence, encompassing transfer, generalization, reasoning and planning capacities, and more.
As a researcher, I am focused on exploring various aspects related to the generalization of deep models. This involves investigating domains such as domain adaptation, transfer learning, and robustness, among several other fascinating questions. Furthermore, I am particularly interested in investigating how deep models can effectively handle structured problems, which include understanding structured data and knowledge, structured and symbolic problem-solving, compositional generalization, and much more. I anticipate chatting or collaborating with you!
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Empowering Large Language Model Agents through Action Learning
Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang
arXiv preprint
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang
arXiv preprint
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi-Hong Deng, Lingpeng Kong, Qi Liu
Conference on Neural Information Processing Systems (NeurIPS) 2023
ChatPathway: Conversational Large Language Models for Biology Pathway Detection
Yanjing Li, Hannan Xu, Haiteng Zhao, Hongyu Guo, Shengchao Liu
Conference on Neural Information Processing Systems (NeurIPS) 2023 AI for Science Workshop
Are More Layers Beneficial to Graph Transformers?
Haiteng Zhao, Shuming Ma, Dongdong Zhang, Zhi-Hong Deng, Furu Wei
International Conference on Learning Representations (ICLR) 2023
Retrieved Sequence Augmentation for Protein Representation Learning
Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong
arXiv preprint
Certified Robustness Against Natural Language Attacks by Causal Intervention
Haiteng Zhao‡, Chang Ma‡, Xinshuai Dong‡, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang
International Conference on Machine Learning (ICML) 2022
Domain Adaptation via Mutual Information Maximization
Haiteng Zhao, Chang Ma, Qinyu Chen, Zhihong Deng
International Joint Conference on Artificial Intelligence (IJCAI) 2022 (Long presentation)
Empowering Large Language Model Agents through Action Learning
Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang
arXiv preprint
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang
arXiv preprint
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi-Hong Deng, Lingpeng Kong, Qi Liu
Conference on Neural Information Processing Systems (NeurIPS) 2023
ChatPathway: Conversational Large Language Models for Biology Pathway Detection
Yanjing Li, Hannan Xu, Haiteng Zhao, Hongyu Guo, Shengchao Liu
Conference on Neural Information Processing Systems (NeurIPS) 2023 AI for Science Workshop
Are More Layers Beneficial to Graph Transformers?
Haiteng Zhao, Shuming Ma, Dongdong Zhang, Zhi-Hong Deng, Furu Wei
International Conference on Learning Representations (ICLR) 2023
Retrieved Sequence Augmentation for Protein Representation Learning
Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong
arXiv preprint
Certified Robustness Against Natural Language Attacks by Causal Intervention
Haiteng Zhao‡, Chang Ma‡, Xinshuai Dong‡, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang
International Conference on Machine Learning (ICML) 2022
Domain Adaptation via Mutual Information Maximization
Haiteng Zhao, Chang Ma, Qinyu Chen, Zhihong Deng
International Joint Conference on Artificial Intelligence (IJCAI) 2022 (Long presentation)
Talks & Projects
Vitæ
Full Resume in PDF.
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Tencent Mar 2024 -Research Intern
AI Lab NLP -
Bytedance Aug 2023 - Feb 2024Research Intern
Data-AML-US -
The University of Hong Kong Sep 2022 -Research Intern
HKU NLP -
Microsoft Research Asia Jan 2022 - Oct 2022Research Intern
Natural Language Computing (NLC) group -
Nanyang Technological University June 2021 -Collaborator
NAIL Group, NLP -
Peking University Sep 2020 -Ph.D. Student
CS, Machine Learning -
Peking University July 2018 - July 2020Research Assistant
Sigma Lab, Department of Machine Intelligence -
Peking University Sep 2016 - July 2020B.Sc. Student
Psychology