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Journal Articles
- 2024
[j2]Yuxue Zhao
, Jiashu Han, Xinlin Hu, Bo Hu, Hui Zhu, Yanlong Wang, Xiuli Zhu:
Hypertension risk prediction models for patients with diabetes based on machine learning approaches. Multim. Tools Appl. 83(20): 59085-59102 (2024)- [j1]Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao:
Hypergraph Isomorphism Computation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3880-3896 (2024)
Conference and Workshop Papers
- 2024
- [c2]Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li:
Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. ECML/PKDD (3) 2024: 284-300 - 2022
- [c1]Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang:
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS. ECCV (20) 2022: 578-594
Informal and Other Publications
- 2023
- [i3]Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao:
Hypergraph Isomorphism Computation. CoRR abs/2307.14394 (2023) - [i2]Cassandra Tong Ye, Jiashu Han, Kunzan Liu, Anastasios Angelopoulos, Linda Griffith, Kristina Monakhova, Sixian You:
Learned, Uncertainty-driven Adaptive Acquisition for Photon-Efficient Multiphoton Microscopy. CoRR abs/2310.16102 (2023) - 2022
- [i1]Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang:
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS. CoRR abs/2207.07868 (2022)
Coauthor Index
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