I’m Xiang Zhuang (庄祥), a Ph.D. student in Computer Science at Zhejiang University (浙江大学), advised by Professor Huajun Chen (陈华钧) and Qiang Zhang (张强). I received my bachelor’s degree in Software Engineering from Zhejiang University in 2020. My research interests lie in AI for Science (AI4Science), particularly in applying large language models (LLMs) to biomolecules. I received the 2025 CAAI Rising Scientist Honorable Mention (中国人工智能学会首届“潜力清源学者”), in recognition of achievements at the interdisciplinary frontiers of AI.
🔥 News
- 2025.06: 🎉🎉 I received the 2025 CAAI Rising Scientist Honorable Mention (中国人工智能学会首届“潜力清源学者”), awarded to only 10 recipients nationwide.
- 2025.05: 🎉🎉 Our paper InstructBioMol was accepted to Nature Machine Intelligence.
- 2025.05: 🎉🎉 One paper was accepted to ACL 2025.
- 2025.04: 🎉🎉 I will give a tutorial on Integrating Knowledge Graphs and Large Language Models for Advancing Scientific Research at ICDCS 2025. See you in Glasgow this July!
- 2025.01: 🎉🎉 One survey paper about Scientific Large Language Models was accepted to ACM Computing Surveys.
- 2024.10: We released a preprint on a multimodal biomolecular large language model InstructBioMol.
- 2024.09: 🎉🎉 One paper was accepted to NeurIPS 2024.
- 2024.06: We released a preprint of a dataset and benchmark paper on Scientific Knowledge Evaluation.
📝 Publications (* indicates co-first author)
Journal
- Advancing Biomolecular Understanding and Design Following Human Instructions
Xiang Zhuang, Keyan Ding, Tianwen Lyu, Yinuo Jiang, Xiaotong Li, Zhuoyi Xiang, Zeyuan Wang, Ming Qin, Kehua Feng, Jike Wang, Qiang Zhang, Huajun Chen
Nature Machine Intelligence, 2025
[paper][code] - Scientific large language models: A survey on biological & chemical domains
Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
ACM Computing Surveys, 2025
[paper][code] - Knowledge Graph-enhanced Molecular Contrastive Learning with Functional Prompt
Yin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen
Nature Machine Intelligence, 2023
[paper][code] - Benchmarking Knowledge-driven Zero-shot Learning
Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z Pan, Juan Li, Zonggang Yuan, Huajun Chen
Journal of Web Semantics, 2023
[paper][code] - De Novo Analysis of Bulk RNA-seq Data at Spatially Resolved Single-cell Resolution
Jie Liao*, Jingyang Qian*, Yin Fang*, Zhuo Chen*, Xiang Zhuang*, Ningyu Zhang, Xin Shao, Yining Hu, Penghui Yang, Junyun Cheng, Yang Hu, Lingqi Yu, Haihong Yang, Jinlu Zhang, Xiaoyan Lu, Li Shao, Dan Wu, Yue Gao, Huajun Chen, Xiaohui Fan
Nature Communications (Top 25 Life and Biological Sciences Articles of 2022), 2022
[paper][code] - scDeepSort: a Pre-trained Cell-type Annotation Method for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
Xin Shao, Haihong Yang, Xiang Zhuang, Jie Liao, Penghui Yang, Junyun Cheng, Xiaoyan Lu, Huajun Chen, Xiaohui Fan
Nucleic Acids Research, 2021
[paper][code]
Conference
- Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
Xiang Zhuang, Bin Wu, Jiyu Cui, Kehua Feng, Xiaotong Li, Huabin Xing, Keyan Ding, Qiang Zhang, Huajun Chen
ACL, 2025
[paper][code] - DePLM: Denoising Protein Language Models for Property Optimization
Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
NeurIPS, 2024
[paper][code] - StableMask: Refining Causal Masking in Decoder-only Transformer
Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang
ICML, 2024
[paper][code] - Knowledge-aware Reinforced Language Models for Protein Directed Evolution
Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen
ICML, 2024
[paper][code] - InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen
ACL, 2024
[paper][code] - Enhancing Cross Text-Molecule Learning by Self-Augmentation
Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen
ACL Findings, 2024
[paper][code] - Learning Invariant Molecular Representation in Latent Discrete Space
Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen
NeurIPS, 2023
[paper][code] - Prompting Meta-Learned Hierarchical Graph Network for Molecular Property Prediction
Xiang Zhuang, Keyan Ding, Yin Fang, Huajun Chen, Qiang Zhang
IEEE MedAI, 2023
[paper][code] - Graph Sampling-based Meta-Learning for Molecular Property Prediction
Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen
IJCAI, 2023
[paper][code] - Molecular Contrastive Learning with Chemical Element Knowledge Graph
Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen
AAAI, 2022
[paper][code]
Preprint
- SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models
Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
[paper][code]
📖 Educations
- 2023.2 - now, Ph.D., Computer science and technology, Zhejiang University.
- 2020.9 - 2023.1, Master, Computer science and technology, Zhejiang University.
- 2016.9 - 2020.7, Undergraduate, Software engineering, Zhejiang University.