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ORCIDFan Zhou 0003
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Biostatistics, NC, USA
Other persons with the same name
- Fan Zhou — disambiguation page
- Fan Zhou 0001
![[0000-0002-0400-9366]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0400-9366")
— Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China - Fan Zhou 0002 — University of Electronic Science and Technology of China, Chengdu, China
- Fan Zhou 0004 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, China
- Fan Zhou 0005 — Japan Advanced Institute of Science and Technology, School of Information Science, Ishikawa, Japan
- Fan Zhou 0006 — Université Laval, Québec, Canada
- Fan Zhou 0007 — Zhejiang University, Institute of Advanced Digital Technology and Instrumentation, Embedded System Engineering Research Center, Hangzhou, China (and 1 more)
- Fan Zhou 0008 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Fan Zhou 0009 — Changchun University of Technology, Department of Control Science and Engineering, Changchun, China
- Fan Zhou 0010 — Baidu Research, Bellevue, WA, USA (and 1 more)
- Fan Zhou 0011 — Shenyang Ligong University, School of Information Science and Engineering, Shenzang, China
- Fan Zhou 0012 — Ant Group
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Journal Articles
- 2018
[j2]Ching-Wei Wang, Yu-Ching Lee, Evelyne Calista, Fan Zhou, Hongtu Zhu, Ryohei Suzuki, Daisuke Komura, Shumpei Ishikawa, Shih-Ping Cheng:
A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays. Bioinform. 34(10): 1767-1773 (2018)- 2017
- [j1]Wensheng Zhu, Ying Yuan, Jingwen Zhang, Fan Zhou, Rebecca C. Knickmeyer, Hongtu Zhu:
Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study. NeuroImage 146: 983-1002 (2017)
Conference and Workshop Papers
- 2023
- [c5]Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou:
Adversarial Learning of Distributional Reinforcement Learning. ICML 2023: 32783-32796 - 2021
- [c4]Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu:
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. ICDM 2021: 1541-1546 - 2019
- [c3]Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye:
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. NeurIPS 2019: 7013-7023 - 2018
- [c2]Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu:
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. ISBI 2018: 692-695 - 2017
- [c1]Fan Zhou, Tengfei Li, Heng Li, Hongtu Zhu:
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI 2017: 274-286
Coauthor Index
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