About Me

Dr. Yongqi Zhang is currently a tenue-track assistant professor in DSA Thrust at HKUST(GZ). Prior to this, he worked as a research scientist at the AI listed company 4Paradigm Inc. and collaborated closely with Prof. Quanming Yao at Tsinghua University. In terms of education, Dr. Zhang completed his doctoral degree in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST) in 2020, advised by Prof. Lei Chen. Before pursuing his Ph.D., he obtained a bachelor’s degree from Shanghai Jiao Tong University (SJTU) in 2015. With this background, Dr. Zhang possesses extensive academic and industry experience, as well as strong collaborations with partners.

Email: yongqizhang at hkust-gz dot edu dot cn

Xiaohongshu: 977523145

Group | Publications | Achievements

Research Topics

Our research group primarily revolves around knowledge-integrated machine intelligence, with a focus on exploring the integration of domain-specific knowledge with AI techniques. The key areas of exploration include cutting-edge LLMs, industrial LLMs and AI for science.

Current keywords: LLM, generative AI, knowledge graph, machine learning, bioinformatics, material science.

Representative publications recently:
[1] Yongqi Zhang, Quanming Yao*, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin and Yefeng Zheng. (EmerGNN) Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. Nature Computational Science. 2023.
[2] Yongqi Zhang, Quanming Yao* and James T. Kwok. (AutoBLM) Bilinear Scoring Function Search for Knowledge Graph Learning. IEEE TPAMI. 2023.
[3] Yongqi Zhang and Quanming Yao*. (RED-GNN) Knowledge Graph Reasoning with Relational Directed Graph. The WebConf. 2022.