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.

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)

Talks & Projects

Vitæ

Full Resume in PDF.

Thanks to Martin Saveski for the website template.