Xiang Zhuang

According to our database, Xiang Zhuang authored at least 18 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou

CoRR, August, 2025

Scientific Large Language Models: A Survey on Biological & Chemical Domains.

Qiang Zhang, Keyan Ding, Tianwen Lv, 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 Comput. Surv., June, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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, Huajun Chen

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, Jianhua Yao, Qiang Zhang, Huajun Chen

CoRR, 2024

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

CoRR, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

StableMask: Refining Causal Masking in Decoder-only Transformer.

Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction.

Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Enhancing Cross Text-Molecule Learning by Self-Augmentation.

Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Nat. Mac. Intell., May, 2023

Benchmarking knowledge-driven zero-shot learning.

Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z. Pan, Juan Li, Zonggang Yuan, Huajun Chen

J. Web Semant., 2023

Learning Invariant Molecular Representation in Latent Discrete Space.

Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.

Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge-aware Contrastive Molecular Graph Learning.

Yin Fang, Haihong Yang, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen

CoRR, 2021

2009

Study and Application of Stock Robot Kaburobo Based on Artificial Intelligence.

Jianliang Wang, Linshan Fang, Xiang Zhuang

Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009