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2020 – today
- 2024
[j1]Yuzhen Mao, Yen-Yi Lin
, Nelson K. Y. Wong, Stanislav Volik, Funda Sar, Colin C. Collins, Martin Ester:
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks. Bioinform. 40(2) (2024)- [c3]Yuzhen Mao, Martin Ester, Ke Li:
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. ICLR 2024 - [c2]Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou:
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML 2024 - [i4]Yuzhen Mao, Martin Ester, Ke Li:
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. CoRR abs/2405.02842 (2024) - 2023
- [i3]Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou:
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks. CoRR abs/2304.03935 (2023) - [i2]Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou:
Dynamic Transfer Learning across Graphs. CoRR abs/2305.00664 (2023) - 2022
- [c1]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. ICDM 2022: 1101-1106 - [i1]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. CoRR abs/2212.04725 (2022)
Coauthor Index
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