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Xinming Tu

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2020 – today

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2024
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  - journals/corr/abs-2402-13714
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  - https://dblp.org/rec/journals/corr/abs-2402-13714
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
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  - conf/mlcb/TuHWKRL23
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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
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  - journals/corr/abs-2307-02792
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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
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  - conf/nips/TuCXMG22
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Xinming Tu, Zhi-Jie Cao, Chenrui Xia, Sara Mostafavi, Ge Gao:
Cross-Linked Unified Embedding for cross-modality representation learning. NeurIPS 2022
2020
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  - journals/bioinformatics/LuoTDGD20
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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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