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2020 – today
- 2023
[c3]Yeshu Li, Brian D. Ziebart:
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks. NeurIPS 2023- [i2]Yeshu Li, Brian D. Ziebart:
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks. CoRR abs/2311.06117 (2023) - 2022
- [c2]Yeshu Li, Zhan Shi, Xinhua Zhang, Brian D. Ziebart:
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks. AISTATS 2022: 8997-9016 - [c1]Yeshu Li, Danyal Saeed, Xinhua Zhang, Brian D. Ziebart, Kevin Gimpel:
Moment Distributionally Robust Tree Structured Prediction. NeurIPS 2022 - 2021
- [j2]Yeshu Li
, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu:
Whole brain segmentation with full volume neural network. Comput. Medical Imaging Graph. 93: 101991 (2021) - [i1]Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu:
Whole Brain Segmentation with Full Volume Neural Network. CoRR abs/2110.15601 (2021)
2010 – 2019
- 2017
- [j1]Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric I-Chao Chang:
Parallel multiple instance learning for extremely large histopathology image analysis. BMC Bioinform. 18(1): 360 (2017)
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