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Xiang Zhuang
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2020 – today
- 2024
- [c8]Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen:
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. ACL (1) 2024: 1114-1136 - [c7]Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen:
Enhancing Cross Text-Molecule Learning by Self-Augmentation. ACL (Findings) 2024: 9551-9565 - [c6]Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen:
Knowledge-aware Reinforced Language Models for Protein Directed Evolution. ICML 2024 - [c5]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. ICML 2024 - [i8]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:
Scientific Large Language Models: A Survey on Biological & Chemical Domains. CoRR abs/2401.14656 (2024) - [i7]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. CoRR abs/2402.04779 (2024) - [i6]Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen:
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. CoRR abs/2406.09098 (2024) - 2023
- [j2]Yin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen:
Knowledge graph-enhanced molecular contrastive learning with functional prompt. Nat. Mac. Intell. 5(5): 542-553 (2023) - [j1]Yuxia Geng
, Jiaoyan Chen
Benchmarking knowledge-driven zero-shot learning. J. Web Semant. 75: 100757 (2023) - [c4]Xiang Zhuang
Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI 2023: 4729-4737 - [c3]Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen:
Learning Invariant Molecular Representation in Latent Discrete Space. NeurIPS 2023 - [i5]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. CoRR abs/2306.16780 (2023) - [i4]Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen:
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. CoRR abs/2310.03269 (2023) - [i3]Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian
Learning Invariant Molecular Representation in Latent Discrete Space. CoRR abs/2310.14170 (2023) - 2022
- [c2]Yin Fang
Molecular Contrastive Learning with Chemical Element Knowledge Graph. AAAI 2022: 3968-3976 - 2021
- [i2]Yin Fang, Haihong Yang, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen:
Knowledge-aware Contrastive Molecular Graph Learning. CoRR abs/2103.13047 (2021) - [i1]Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. CoRR abs/2112.00544 (2021)
2000 – 2009
- 2009
- [c1]Jianliang Wang, Linshan Fang, Xiang Zhuang:
Study and Application of Stock Robot Kaburobo Based on Artificial Intelligence. JCAI 2009: 260-262
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