Study and Application of Stock Robot Kaburobo Based on Artificial Intelligence. - Jianliang Wang; Linshan Fang; Xiang Zhuang (JCAI, 2009)

Knowledge-aware Contrastive Molecular Graph Learning. - Yin Fang; Haihong Yang; Xiang Zhuang; Xin Shao; Xiaohui Fan; Huajun Chen (CoRR, 2021)

Molecular Contrastive Learning with Chemical Element Knowledge Graph. - Yin Fang; Qiang Zhang 026; Haihong Yang; Xiang Zhuang; Shumin Deng; Wen Zhang 015; Ming Qin; Zhuo Chen 007; Xiaohui Fan; Huajun Chen (AAAI, 2022)

Graph Sampling-based Meta-Learning for Molecular Property Prediction. - Xiang Zhuang; Qiang Zhang 026; Bin Wu 025; Keyan Ding; Yin Fang; Huajun Chen (IJCAI, 2023)

Learning Invariant Molecular Representation in Latent Discrete Space. - Xiang Zhuang; Qiang Zhang 026; Keyan Ding; Yatao Bian; Xiao Wang 014; Jingsong Lv; Hongyang Chen; Huajun Chen (NeurIPS, 2023)

Benchmarking knowledge-driven zero-shot learning. - Yuxia Geng; Jiaoyan Chen 001; Xiang Zhuang; Zhuo Chen 007; Jeff Z. Pan; Juan Li 010; Zonggang Yuan; Huajun Chen (J. Web Semant., 2023)

Knowledge graph-enhanced molecular contrastive learning with functional prompt. - Yin Fang; Qiang Zhang 026; Ningyu Zhang 001; Zhuo Chen 007; Xiang Zhuang; Xin Shao; Xiaohui Fan; Huajun Chen (Nat. Mac. Intell., 2023)

Enhancing Cross Text-Molecule Learning by Self-Augmentation. - Yinuo Jiang; Xiang Zhuang; Keyan Ding; Qiang Zhang 026; Huajun Chen (ACL (Findings), 2024)

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. - Zeyuan Wang; Qiang Zhang 026; Keyan Ding; Ming Qin; Xiang Zhuang; Xiaotong Li; Huajun Chen (ACL (1), 2024)

Knowledge-aware Reinforced Language Models for Protein Directed Evolution. - Yuhao Wang; Qiang Zhang 026; Ming Qin; Xiang Zhuang; Xiaotong Li; Zhichen Gong; Zeyuan Wang; Yu Zhao 009; Jianhua Yao 001; Keyan Ding; Huajun Chen (ICML, 2024)

StableMask: Refining Causal Masking in Decoder-only Transformer. - Qingyu Yin; Xuzheng He; Xiang Zhuang; Yu Zhao 009; Jianhua Yao 001; Xiaoyu Shen; Qiang Zhang 026 (ICML, 2024)

DePLM: Denoising Protein Language Models for Property Optimization. - Zeyuan Wang; Keyan Ding; Ming Qin; Xiaotong Li; Xiang Zhuang; Yu Zhao 009; Jianhua Yao 001; Qiang Zhang 026; Huajun Chen (NeurIPS, 2024)

Scientific Large Language Models: A Survey on Biological & Chemical Domains. - Qiang Zhang 026; Keyang Ding; Tianwen Lyv; Xinda Wang 005; Qingyu Yin; Yiwen Zhang; Jing Yu; Yuhao Wang; Xiaotong Li; Zhuoyi Xiang; Xiang Zhuang; Zeyuan Wang; et al. (CoRR, 2024)

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. - Kehua Feng; Keyan Ding; Weijie Wang; Xiang Zhuang; Zeyuan Wang; Ming Qin; Yu Zhao 009; Jianhua Yao 001; Qiang Zhang 026; Huajun Chen (CoRR, 2024)

InstructBioMol: Advancing Biomolecule 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 026; Huajun Chen (CoRR, 2024)

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning. - Xiang Zhuang; Bin Wu 025; Jiyu Cui; Kehua Feng; Xiaotong Li; Huabin Xing; Keyan Ding; Qiang Zhang 026; Huajun Chen (ACL (1), 2025)

Scientific Large Language Models: A Survey on Biological & Chemical Domains. - Qiang Zhang 026; Keyan Ding; Tianwen Lv; Xinda Wang 005; Qingyu Yin; Yiwen Zhang; Jing Yu; Yuhao Wang; Xiaotong Li; Zhuoyi Xiang; Xiang Zhuang; Zeyuan Wang; et al. (ACM Comput. Surv., 2025)

From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery. - Jiaqi Wei; Yuejin Yang; Xiang Zhang; Yuhan Chen; Xiang Zhuang; Zhangyang Gao; Dongzhan Zhou; Guangshuai Wang; Zhiqiang Gao; Juntai Cao; Zijie Qiu; Xuming He; et al. (CoRR, 2025)