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2020 – today
- 2024
[j3]Qing Li
, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song, Yu Li:
Progress and opportunities of foundation models in bioinformatics. Briefings Bioinform. 25(6) (2024)- [j2]Yimin Fan, Yaxuan Li, Yunhua Zhong, Liang Hong, Lei Li, Yu Li:
Learning meaningful representation of single-neuron morphology via large-scale pre-training. Bioinform. 40(Supplement_2): ii128-ii136 (2024) - [c4]Yimin Fan, Yu Li, Jun Ding, Yue Li:
GFETM: Genome Foundation-Based Embedded Topic Model for scATAC-seq Modeling. RECOMB 2024: 314-319 - [i4]Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li:
Progress and Opportunities of Foundation Models in Bioinformatics. CoRR abs/2402.04286 (2024) - 2023
- [c3]Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad:
Evaluating Neuron Interpretation Methods of NLP Models. NeurIPS 2023 - [i3]Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad:
Evaluating Neuron Interpretation Methods of NLP Models. CoRR abs/2301.12608 (2023) - 2021
- [c2]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. EMNLP (Findings) 2021: 881-894 - [i2]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. CoRR abs/2109.00271 (2021) - 2020
- [j1]Yang Liu, Yimin Fan, Yingmin Jia:
Iterative learning formation control for continuous-time multi-agent systems with randomly varying trial lengths. J. Frankl. Inst. 357(14): 9268-9287 (2020) - [c1]Yimin Fan, Zhiyuan Wang, Yuanpeng Lin, Haisheng Tan:
Enhance The Performance Of Navigation: A Two-Stage Machine Learning Approach. BigCom 2020: 212-219 - [i1]Yimin Fan, Zhiyuan Wang, Yuanpeng Lin, Haisheng Tan:
Enhance the performance of navigation: A two-stage machine learning approach. CoRR abs/2004.00879 (2020)
Coauthor Index
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