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Xinming Tu
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2020 – today
- 2024
- [i2]Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun:
An Evaluation of Large Language Models in Bioinformatics Research. CoRR abs/2402.13714 (2024) - 2023
- [c2]Xinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez:
A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data. MLCB 2023: 90-100 - [i1]Xinming Tu, James Zou, Weijie J. Su, Linjun Zhang:
What Should Data Science Education Do with Large Language Models? CoRR abs/2307.02792 (2023) - 2022
- [c1]Xinming Tu, Zhi-Jie Cao, Chenrui Xia, Sara Mostafavi, Ge Gao:
Cross-Linked Unified Embedding for cross-modality representation learning. NeurIPS 2022 - 2020
- [j1]Xiao Luo
, Xinming Tu, Yang Ding, Ge Gao
, Minghua Deng
:
Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding. Bioinform. 36(5): 1405-1412 (2020)
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