Junyuan (Jason) Hong

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	Total	Desde 2020
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Jiayu ZhouUniversity of MichiganDirección de correo verificada de umich.edu
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinDirección de correo verificada de utexas.edu
Zhuangdi ZhuGeorge Mason University; Michigan State UniversityDirección de correo verificada de gmu.edu
Haotao WangQualcommDirección de correo verificada de utexas.edu
Bo LiUniversity of Illinois at Urbana–ChampaignDirección de correo verificada de illinois.edu
Hiroko H. DodgeMassachusetts General Hospital, Harvard Medical SchoolDirección de correo verificada de mgh.harvard.edu
Dawn SongProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Spranger MichaelSony AI / Sony Computer Science Laboratories Inc.Dirección de correo verificada de sony.com
Mehrdad MahdaviAssociate Professor of Computer Science, Pennsylvania State UniversityDirección de correo verificada de psu.edu
Ruoxi JiaAssistant Professor, Virginia TechDirección de correo verificada de vt.edu
Sijia LiuMichigan State University & MIT-IBM Watson AI LabDirección de correo verificada de msu.edu
Tianlong ChenAssistant Professor, CS@UNC Chapel Hill; PostDoc, CSAIL@MIT+BMI@Harvard; Ph.D., ECE@UT AustinDirección de correo verificada de cs.unc.edu
Mingyi HongAssociate Professor, University of Minnesota; Amazon ScholarDirección de correo verificada de umn.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityDirección de correo verificada de princeton.edu
Zhen XiangUniversity of GeorgiaDirección de correo verificada de uga.edu
Kaidi XuAssistant Professor, Drexel UniversityDirección de correo verificada de northeastern.edu
Bhavya KailkhuraResearch Scientist, Lawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityDirección de correo verificada de med.cornell.edu
Ulisses Braga-NetoProfessor of Electrical and Computer Engineering, Texas A&M UniversityDirección de correo verificada de ece.tamu.edu
Ying DingBill & Lewis Suit Professor, School of Information, Dell Med, University of Texas at AustinDirección de correo verificada de austin.utexas.edu

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Junyuan (Jason) Hong

Otros nombresJunyuan Hong

University of Texas at Austin

Dirección de correo verificada de utexas.edu - Página principal

Privacy Responsible AI AI4Health Federated Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Data-free knowledge distillation for heterogeneous federated learning Z Zhu, J Hong, J Zhou International conference on machine learning, 12878-12889, 2021	757	2021
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization J Hong, H Wang, Z Wang, J Zhou International Conference on Learning Representations, 2022	57	2022
Federated robustness propagation: sharing adversarial robustness in heterogeneous federated learning J Hong, H Wang, Z Wang, J Zhou Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 7893-7901, 2023	54*	2023
Federated adversarial debiasing for fair and transferable representations J Hong, Z Zhu, S Yu, Z Wang, HH Dodge, J Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	54	2021
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark Y Zhang, P Li, J Hong, J Li, Y Zhang, W Zheng, PY Chen, JD Lee, W Yin, ... ICML, 2024	38	2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer J Hong, JT Wang, C Zhang, Z Li, B Li, Z Wang ICLR 2024, 2023	38*	2023
MECTA: Memory-Economic Continual Test-Time Model Adaptation J Hong, L Lyu, J Zhou, M Spranger International Conference on Learning Representations, 2023	37	2023
Resilient and communication efficient learning for heterogeneous federated systems Z Zhu, J Hong, S Drew, J Zhou Proceedings of Thirty-ninth International Conference on Machine Learning …, 2022	33	2022
A privacy-preserving hybrid federated learning framework for financial crime detection H Zhang, J Hong, F Dong, S Drew, L Xue, J Zhou KDD International Workshop on Federated Learning for Distributed Data Mining, 2023	23	2023
LLM-PBE: Assessing Data Privacy in Large Language Models Q Li, J Hong, C Xie, J Tan, R Xin, J Hou, X Yin, Z Wang, D Hendrycks, ... VLDB, 2024	14	2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression J Hong, J Duan, C Zhang, Z Li, C Xie, K Lieberman, J Diffenderfer, ... ICML, 2024	14	2024
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk Z Li, J Hong, B Li, Z Wang 2nd IEEE Conference on Secure and Trustworthy Machine Learning, 2024	14	2024
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection S Yu, J Hong, H Wang, Z Wang, J Zhou International Conference on Learning Representations, 2023	14	2023
Variant grassmann manifolds: A representation augmentation method for action recognition J Hong, Y Li, H Chen ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (2), 1-23, 2019	14	2019
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork H Wang, J Hong, A Zhang, J Zhou, Z Wang NeurIPS 2022, 2022	13	2022
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent J Hong, Z Wang, J Zhou ACM Conference on Fairness, Accountability, and Transparency, 11-35, 2022	13	2022
How robust is your fairness? evaluating and sustaining fairness under unseen distribution shifts H Wang, J Hong, J Zhou, Z Wang Transactions on machine learning research 2023, 2023	12	2023
Learning model-based privacy protection under budget constraints J Hong, H Wang, Z Wang, J Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7702-7710, 2021	12	2021
Short sequence classification through discriminable linear dynamical system Y Li, J Hong, H Chen IEEE Transactions on neural networks and learning systems 30 (11), 3396-3408, 2019	12	2019
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning Z Xiang, L Zheng, Y Li, J Hong, Q Li, H Xie, J Zhang, Z Xiong, C Xie, ... arXiv preprint arXiv:2406.09187, 2024	10	2024

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