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ORCIDFan Wu 0011
Person information
- affiliation: University of Illinois at Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Fan Wu — disambiguation page
- Fan Wu 0001
![[0000-0002-9280-8378]](/web/20180317132104*/https://developer.android.com/reference/java/sql/package-https-dblp.org/img/orcid-mark.12x12.png "0000-0002-9280-8378")
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China - Fan Wu 0002 — Novartis Institutes for BioMedical Research, San Diego, CA, USA (and 2 more)
- Fan Wu 0003 — Xiamen Institute of Technology, Department of Computer Science and Engineering, China
- Fan Wu 0004 — Monash University, Clayton, VIC, Australia
- Fan Wu 0005 — Chinese Academy of Sciences, Institute of Electronics, Beijing, China
- Fan Wu 0006 — Shanghai Jiao Tong University, Shanghai Key Laboratory of Scalable Computing and Systems, China (and 2 more)
- Fan Wu 0007 — Beijing University of Posts and Telecommunications, School of Electronic Engineering / Beijing Key Laboratory of Work Safety Intelligent Monitoring, China
- Fan Wu 0008 — CloudWalk Technology, Guangzhou, China
- Fan Wu 0009 — University College London, UK
- Fan Wu 0010 — University of Oxford, Department of Statistics, UK
- Fan Wu 0012 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Fan Wu 0013 — Tuskegee University, Department of Computer Science, AL, USA (and 1 more)
- Fan Wu 0014 — Tsinghua University, BNRist, Department of Computer Science and Technology, Beijing, China (and 2 more)
- Fan Wu 0015 — Technical University of Munich, School of Computation, Information and Technology, Germany (and 1 more)
- Fan Wu 0016 — Hunan University, College of Computer Science and Electronic Engineering, National Supercomputing Center in Changsha, China
- Fan Wu 0017 — Southeast University, State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Nanjing, China
- Fan Wu 0018 — China Academy of Space Technology, Qian Xuesen Laboratory of Space Technology, Beijing, China
- Fan Wu 0019 — ETH Zurich, Centre for Digital Health Interventions, Zurich, Switzerland
Other persons with a similar name
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2020 – today
- 2025
[c12]Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David A. Forsyth:
Empirical Privacy Variance. ICML 2025- [i12]Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David A. Forsyth:
Empirical Privacy Variance. CoRR abs/2503.12314 (2025) - [i11]Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao:
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning. CoRR abs/2505.19281 (2025) - 2024
- [c11]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. SP 2024: 4696-4713 - 2023
- [j1]Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee:
Factor Graph Neural Networks. J. Mach. Learn. Res. 24: 181:1-181:54 (2023) - [c10]Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao:
Understanding the Impact of Adversarial Robustness on Accuracy Disparity. ICML 2023: 13679-13709 - [i10]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. CoRR abs/2307.02106 (2023) - [i9]Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee:
Factor Graph Neural Networks. CoRR abs/2308.00887 (2023) - 2022
- [c9]Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li:
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination. ECCV (5) 2022: 139-155 - [c8]Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li:
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. ICLR 2022 - [c7]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR 2022 - [c6]Fan Wu, Yunhui Long, Ce Zhang, Bo Li:
LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis. SP 2022: 2005-2024 - [i8]Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li:
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. CoRR abs/2203.08398 (2022) - [i7]Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li:
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination. CoRR abs/2207.12263 (2022) - [i6]Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao:
Understanding the Impact of Adversarial Robustness on Accuracy Disparity. CoRR abs/2211.15762 (2022) - 2021
- [c5]Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li:
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CCS 2021: 2146-2168 - [c4]Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song:
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021: 8239-8247 - [c3]Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney:
The Twelvefold Way of Non-Sequential Lossless Compression. DCC 2021: 336 - [c2]Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang:
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD 2021: 1223-1233 - [i5]Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li:
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CoRR abs/2103.11109 (2021) - [i4]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. CoRR abs/2106.09292 (2021) - [i3]Fan Wu, Yunhui Long, Ce Zhang, Bo Li:
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis. CoRR abs/2108.06504 (2021) - 2020
- [c1]Zhen Zhang, Fan Wu, Wee Sun Lee:
Factor Graph Neural Networks. NeurIPS 2020 - [i2]Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney:
The Twelvefold Way of Non-Sequential Lossless Compression. CoRR abs/2011.04069 (2020)
2010 – 2019
- 2019
- [i1]Zhen Zhang, Fan Wu, Wee Sun Lee:
Factor Graph Neural Network. CoRR abs/1906.00554 (2019)
Coauthor Index
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