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ORCIDYin Fang
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2020 – today
- 2024
[j7]Jinlu Zhang
, Yin Fang, Xin Shao, Huajun Chen, Ningyu Zhang, Xiaohui Fan:
The Future of Molecular Studies through the Lens of Large Language Models. J. Chem. Inf. Model. 64(3): 563-566 (2024)- [j6]Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpu Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang:
Distributed representations of entities in open-world knowledge graphs. Knowl. Based Syst. 290: 111582 (2024) - [c14]Yichi Zhang, Zhuo Chen, Yin Fang, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen:
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. ACL (Findings) 2024: 891-904 - [c13]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. ACL (Findings) 2024: 1216-1240 - [c12]Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen:
Domain-Agnostic Molecular Generation with Chemical Feedback. ICLR 2024 - [c11]Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. ICLR 2024 - [c10]Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen:
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models. ICLR 2024 - [c9]Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang, Huajun Chen:
Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer. KSEM (1) 2024: 86-98 - [c8]Jinzhe Liu, Xiangsheng Huang, Zhuo Chen, Yin Fang:
DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs. NLPCC (2) 2024: 255-267 - [i15]Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen:
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey. CoRR abs/2402.05391 (2024) - [i14]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. CoRR abs/2402.17810 (2024) - [i13]Zhuo Chen, Yin Fang, Yichi Zhang, Lingbing Guo, Jiaoyan Chen, Huajun Chen, Wen Zhang:
The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework. CoRR abs/2403.06832 (2024) - [i12]Jinzhe Liu, Xiangsheng Huang, Zhuo Chen, Yin Fang:
DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs. CoRR abs/2406.18535 (2024) - 2023
- [j5]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) - [c7]Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen:
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning. AAAI 2023: 405-413 - [c6]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI 2023: 4729-4737 - [c5]Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yichi Zhang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen:
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid. ACM Multimedia 2023: 3317-3327 - [c4]Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang:
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. ISWC 2023: 121-139 - [i11]Yin Fang, Ningyu Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Domain-Agnostic Molecular Generation with Self-feedback. CoRR abs/2301.11259 (2023) - [i10]Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. CoRR abs/2306.08018 (2023) - [i9]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) - [i8]Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang:
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. CoRR abs/2307.16210 (2023) - [i7]Yichi Zhang, Zhuo Chen, Yin Fang, Lei Cheng, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen:
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. CoRR abs/2311.06503 (2023) - 2022
- [j4]Yantao Xing, Yike Zhang, Chenxi Yang, Jianqing Li, Yuwen Li, Chang Cui, Jiayi Li, Hongyi Cheng, Yin Fang, Cheng Cai, Minglong Chen, Chengyu Liu:
Design and evaluation of an autonomic nerve monitoring system based on skin sympathetic nerve activity. Biomed. Signal Process. Control. 76: 103681 (2022) - [j3]Yin Fang, Yue-Yue Wang, Wei Liu, Chao-Qing Dai:
Data-driven prediction of soliton solutions of the higher-order NLSE via the strongly-constrained PINN method. Comput. Math. Appl. 127: 144-153 (2022) - [c3]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. AAAI 2022: 3968-3976 - [c2]Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Yin Fang, Jeff Z. Pan, Ningyu Zhang, Wen Zhang:
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection. IJCKG 2022: 20-29 - [i6]Yin Fang, Qiang Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer. CoRR abs/2202.10587 (2022) - [i5]Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Wenting Song, Huajun Chen:
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning. CoRR abs/2207.01328 (2022) - [i4]Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Yin Fang, Jeff Z. Pan, Ningyu Zhang, Wen Zhang:
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection. CoRR abs/2207.12888 (2022) - [i3]Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen:
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid. CoRR abs/2212.14454 (2022) - 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) - 2020
- [j2]Yin Fang, Xin Tian, Hao Wu, Songyuan Gu, Zhu Wang, Feng Wang, Junliang Li, Yang Weng:
Few-Shot Learning for Chinese Legal Controversial Issues Classification. IEEE Access 8: 75022-75034 (2020)
2010 – 2019
- 2019
- [j1]Yang Weng, Yin Fang, Haiying Yan, Yang Yang, Wenxing Hong:
Bayesian Non-Parametric Classification With Tree-Based Feature Transformation for NIPPV Efficacy Prediction in COPD Patients. IEEE Access 7: 177774-177783 (2019) - 2018
- [c1]Xin Tian, Yin Fang, Yang Weng, Yawen Luo, Huifang Cheng, Zhu Wang:
K-Means Clustering for Controversial Issues Merging in Chinese Legal Texts. JURIX 2018: 215-219
Coauthor Index
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