Honggang Yu
 |
Honggang Yu Assistant Professor Office: McVey Data Science Building |
Short Biography
I am currently a tenure-track Assistant Professor in the Department of Computer Science and Software Engineering at Miami University. Previously, I earned my Ph.D. in Electrical and Computer Engineering from the University of Florida, under the supervision of Professor Shuo Wang.
Openings: I am looking for new Ph.D. students with financial support provided. If you are interested in these opportunities, please send me an email with your CV and transcripts attached.
News
[06-30-2026] I have received a $900K NSF Grant with my collaborators from Lehigh University and Kansas State University. I deeply appreciate NSF’s generous support, which will empower our ongoing research and innovation!
[04-14-2026] I am beyond thrilled to share that my proposal for the CEC Merriman Grant has been selected for funding! I sincerely appreciate this recognition and support!
[04-03-2026] Dr. Yu has been invited to serve as the Associate Editor of The Journal of Supercomputing.
[04-01-2026] I am deeply honored for receiving 2026 Faculty Research Grant Award! Many thanks for the acknowledgment!
[03-26-2026] Dr. Yu has been invited to serve as session chair for HOST 2026.
[11-07-2025] Our research paper titled “Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs” has been accepted for publication at AAAI 2026.
[10-09-2025] Dr. Yu has been invited to visit the University of South Florida.
[09-19-2025] Dr. Yu has been invited to visit the Kansas State University.
[08-18-2025] Dr. Yu joined the Department of Computer Science and Software Engineering at Miami University as an Assistant Professor in Fall 2025.
[09-26-2023] Our research paper titled “A Privacy Leakage Issue in Qi-compatible Cellphone Wireless Charging by Stray Magnetic Field Sniffing” has been accepted for publication at APEC 2024.
[03-08-2023] Our research paper titled “Dual-leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis” has been accepted for publication at HOST 2023.
[02-11-2022] Two papers have been accepted for publication in JETC 2022.
[10-24-2021] Our research paper titled “Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules” has been accepted for publication at ASIACCS 2021.
[02-24-2021] Our research paper titled “Cross-Device Profiled Side-Channel Attacks using Meta-Transfer Learning” has been accepted for publication at DAC 2021.
[02-08-2020] Our research paper titled “DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage” has been accepted for publication at HOST 2020.
[12-08-2019] Our research paper titled “CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples” has been accepted for publication at NDSS 2020.
[11-10-2019] Our research paper titled “Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World” has been accepted for publication at AAAI 2020.