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ORCIDJun Luo 0010
Person information
- affiliation: University of Pittsburgh, Intelligent Systems Program, School of Computing and Information, PA, USA,
Other persons with the same name
- Jun Luo — disambiguation page
- Jun Luo 0001
![[0000-0002-7036-5158]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7036-5158")
— Nanyang Technological University, School of Computer Science and Engineering, Singapore - Jun Luo 0002 (aka: Jia-Jun Luo) — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Jun Luo 0003 — Chongqing University, School of Computer Science, Chongqing, China
- Jun Luo 0004 — Harbin Institute of Technology, Department of Electrical Engineering, Harbin, China
- Jun Luo 0005 — Hohai University, Nanjing, China (and 1 more)
- Jun Luo 0006 — Chongqing University, College of Mechanical Engineering, State Key Laboratory of Mechanical Transmission, China (and 1 more)
- Jun Luo 0007 — Machine Intelligence Center Lenovo Group Limited, Hong Kong, China (and 1 more)
- Jun Luo 0008 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Jun Luo 0009 — Huawei Technologies Canada, Noah's Ark Lab, Toronto, Canada
- Jun Luo 0011 — National University of Defense Technology, School of Computer Science, Changsha, Hunan, China (and 1 more)
- Jun Luo 0012 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2023
[c8]Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. ICCV 2023: 3923-3933- [c7]Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen:
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. ICCV 2023: 4965-4975 - [c6]Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu:
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. ISBI 2023: 1-5 - [i8]Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu:
Human not in the loop: objective sample difficulty measures for Curriculum Learning. CoRR abs/2302.01243 (2023) - [i7]Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen:
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. CoRR abs/2308.09160 (2023) - 2022
- [c5]Jun Luo, Shandong Wu:
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. IJCAI 2022: 2166-2173 - [c4]Jun Luo, Shandong Wu:
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. ISBI 2022: 1-5 - [c3]Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Deep curriculum learning in task space for multi-class based mammography diagnosis. Medical Imaging: Computer-Aided Diagnosis 2022 - [i6]Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. CoRR abs/2212.01448 (2022) - 2021
- [c2]Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu:
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. Medical Imaging: Computer-Aided Diagnosis 2021 - [c1]Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu:
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. MLMI@MICCAI 2021: 555-564 - [i5]Jun Luo, Shandong Wu:
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification. CoRR abs/2110.08378 (2021) - [i4]Jun Luo, Shandong Wu:
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. CoRR abs/2110.08394 (2021) - [i3]Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu:
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images. CoRR abs/2110.10381 (2021) - [i2]Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu:
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR abs/2110.10383 (2021) - [i1]Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis. CoRR abs/2110.11320 (2021)
Coauthor Index
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