Molecular contrastive learning with chemical element knowledge graph Y Fang, Q Zhang, H Yang, X Zhuang, S Deng, W Zhang, M Qin, Z Chen, ... AAAI'22 36 (4), 3968-3976, 2022 | 80 | 2022 |
Knowledge graph-enhanced molecular contrastive learning with functional prompt Y Fang, Q Zhang, N Zhang, Z Chen, X Zhuang, X Shao, X Fan, H Chen Nature Machine Intelligence 5 (5), 542-553, 2023 | 50 | 2023 |
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models Y Fang, X Liang, N Zhang, K Liu, R Huang, Z Chen, X Fan, H Chen ICLR 2024, 2023 | 40 | 2023 |
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning Z Chen, Y Huang, J Chen, Y Geng, W Zhang, Y Fang, JZ Pan, W Song, ... AAAI'23 (Oral), 2022 | 31 | 2022 |
De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution J Liao, J Qian, Y Fang, Z Chen, X Zhuang, N Zhang, X Shao, H Yang, ... Nature Communications (Top 25 Life and Biological Sciences Articles of 2022), 2022 | 27 | 2022 |
Meaformer: Multi-modal entity alignment transformer for meta modality hybrid Z Chen, J Chen, W Zhang, L Guo, Y Fang, Y Huang, Y Geng, JZ Pan, ... ACM MM 2023, 2022 | 26 | 2022 |
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection Z Chen, Y Huang, J Chen, Y Geng, Y Fang, J Pan, N Zhang, W Zhang IJCKG'22 (Best Application Paper), 2022 | 24 | 2022 |
Knowledge-aware contrastive molecular graph learning Y Fang, H Yang, X Zhuang, X Shao, X Fan, H Chen arXiv preprint arXiv:2103.13047, 2021 | 22 | 2021 |
Domain-Agnostic Molecular Generation with Self-feedback Y Fang, N Zhang, Z Chen, L Guo, X Fan, H Chen ICLR 2024, 2023 | 16* | 2023 |
Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace J Qian, J Liao, Z Liu, Y Chi, Y Fang, Y Zheng, X Shao, B Liu, Y Cui, W Guo, ... Nature Communications 14 (1), 2484, 2023 | 15 | 2023 |
Distributed representations of entities in open-world knowledge graphs L Guo, Z Chen, J Chen, Y Zhang, Z Sun, Z Bo, Y Fang, X Liu, H Chen, ... Knowledge-Based Systems, 111582, 2024 | 14* | 2024 |
Few-shot learning for Chinese legal controversial issues classification Y Fang, X Tian, H Wu, S Gu, Z Wang, F Wang, J Li, Y Weng IEEE Access 8, 75022-75034, 2020 | 14 | 2020 |
Knowledgeable preference alignment for llms in domain-specific question answering Y Zhang, Z Chen, Y Fang, L Cheng, Y Lu, F Li, W Zhang, H Chen ACL 2024 Findings, 2023 | 13 | 2023 |
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment Z Chen, L Guo, Y Fang, Y Zhang, J Chen, JZ Pan, Y Li, H Chen, W Zhang ISWC 2023 (Best Paper Candidate), 2023 | 12 | 2023 |
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey Z Chen, Y Zhang, Y Fang, Y Geng, L Guo, X Chen, Q Li, W Zhang, J Chen, ... arXiv preprint arXiv:2402.05391, 2024 | 11 | 2024 |
Bayesian non-parametric classification with tree-based feature transformation for NIPPV efficacy prediction in COPD patients Y Weng, Y Fang, H Yan, Y Yang, W Hong IEEE Access 7, 177774-177783, 2019 | 8 | 2019 |
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models L Guo, Z Chen, J Chen, Y Fang, Z Wen, H Chen ICLR 2024, 2023 | 7 | 2023 |
K-means clustering for controversial issues merging in Chinese legal texts X Tian, Y Fang, Y Weng, Y Luo, H Cheng, Z Wang Legal Knowledge and Information Systems, 215-219, 2018 | 7 | 2018 |
Graph Sampling-based Meta-Learning for Molecular Property Prediction X Zhuang, Q Zhang, B Wu, K Ding, Y Fang, H Chen IJCAI 2023, 2023 | 6 | 2023 |
Direct prediction of gas adsorption via spatial atom interaction learning J Cui, F Wu, W Zhang, L Yang, J Hu, Y Fang, P Ye, Q Zhang, X Suo, Y Mo, ... Nature Communications 14 (1), 7043, 2023 | 5 | 2023 |