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!
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model
Yuran Xiang, Haiteng Zhao, Chang Ma, Zhi-Hong Deng
arXiv preprint
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
Conference on Language Modeling (COLM) 2024
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
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
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)
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model
Yuran Xiang, Haiteng Zhao, Chang Ma, Zhi-Hong Deng
arXiv preprint
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
Conference on Language Modeling (COLM) 2024
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
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
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)
Full Resume in PDF.