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Jun Wu 0019
Person information
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
- affiliation (former): Arizona State University, AZ, USA
- affiliation (former): Dalian University of Technology, China
Other persons with the same name
- Jun Wu — disambiguation page
- Jun Wu 0001
— Shanghai Jiao Tong University, Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, China (and 1 more)
- Jun Wu 0002 — Southeast University, Department of Computer Science and Engineering, Nanjing, China
- Jun Wu 0003
- Jun Wu 0004
- Jun Wu 0005
- Jun Wu 0006
- Jun Wu 0007
- Jun Wu 0008 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Jun Wu 0009 — Chungnam National University, Daejeon, Korea
- Jun Wu 0010
- Jun Wu 0011
- Jun Wu 0012
- Jun Wu 0013 — Zhejiang Medical College, Network Center, Hangzhou, China
- Jun Wu 0014
- Jun Wu 0015 — Nanjing University of Finance and Economics, Jiangsu Provincial Key Laboratory of E-Business, Nanjing, China (and 3 more)
- Jun Wu 0016
- Jun Wu 0017
- Jun Wu 0018
- Jun Wu 0020
- Jun Wu 0021
- Jun Wu 0022 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Jun Wu 0023
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2020 – today
- 2024
- [c18]Wenxuan Bao, Jun Wu, Jingrui He:
BOBA: Byzantine-Robust Federated Learning with Label Skewness. AISTATS 2024: 892-900 - [c17]Jun Wu
Distributional Network of Networks for Modeling Data Heterogeneity. KDD 2024: 3379-3390 - 2023
- [j2]Jun Wu
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(11): 11039-11050 (2023) - [c16]Jun Wu, Jingrui He, Elizabeth A. Ainsworth:
Non-IID Transfer Learning on Graphs. AAAI 2023: 10342-10350 - [c15]Wenxuan Bao
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. ICML 2023: 1718-1736 - [c14]Jun Wu
Personalized Federated Learning with Parameter Propagation. KDD 2023: 2594-2605 - [c13]Jun Wu
Trustworthy Transfer Learning: Transferability and Trustworthiness. KDD 2023: 5829-5830 - [c12]Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He:
Graph-Structured Gaussian Processes for Transferable Graph Learning. NeurIPS 2023 - [i9]Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He:
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. CoRR abs/2306.06508 (2023) - 2022
- [j1]Jun Wu, Jingrui He:
Dynamic transfer learning with progressive meta-task scheduler. Frontiers Big Data 5 (2022) - [c11]Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He:
Adaptive Knowledge Transfer on Evolving Domains. IEEE Big Data 2022: 1389-1394 - [c10]Yao Zhou, Jun Wu
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. CIKM 2022: 2753-2762 - [c9]Jun Wu
A Unified Meta-Learning Framework for Dynamic Transfer Learning. IJCAI 2022: 3573-3579 - [c8]Jun Wu, Jingrui He:
Domain Adaptation with Dynamic Open-Set Targets. KDD 2022: 2039-2049 - [c7]Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth A. Ainsworth:
Distribution-Informed Neural Networks for Domain Adaptation Regression. NeurIPS 2022 - [i8]Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He:
Adaptive Transfer Learning for Plant Phenotyping. CoRR abs/2201.05261 (2022) - [i7]Jun Wu, Jingrui He:
A Unified Meta-Learning Framework for Dynamic Transfer Learning. CoRR abs/2207.01784 (2022) - [i6]Jun Wu, Jingrui He, Elizabeth A. Ainsworth:
Non-IID Transfer Learning on Graphs. CoRR abs/2212.08174 (2022) - 2021
- [c6]Jun Wu
Indirect Invisible Poisoning Attacks on Domain Adaptation. KDD 2021: 1852-1862 - [c5]Yao Zhou, Jianpeng Xu, Jun Wu
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. KDD 2021: 2409-2419 - 2020
- [c4]Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [i5]Jun Wu
Continuous Transfer Learning with Label-informed Distribution Alignment. CoRR abs/2006.03230 (2020) - [i4]Yao Zhou, Jun Wu
Robust Decentralized Learning for Neural Networks. CoRR abs/2009.09026 (2020) - [i3]Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He:
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR abs/2012.06901 (2020)
2010 – 2019
- 2019
- [c3]Jun Wu
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy. CIKM 2019: 2101-2104 - [c2]Jun Wu
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. KDD 2019: 406-415 - [i2]Jun Wu, Jingrui He, Jiejun Xu:
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. CoRR abs/1906.02319 (2019) - 2018
- [c1]Jun Wu
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation. IEEE BigData 2018: 871-880 - [i1]Jun Wu, Jingrui He, Yongming Liu:
ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data. CoRR abs/1804.09222 (2018)
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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