Chong Yu, Ph.D.

Office: Rhodes Hall 887
Phone: 513-556-7904
Research Lab: Rhodes Hall 800A
Email: yuc5 at ucmail dot uc dot edu

Hiring: I am seeking self-motivated students. Here is the details.

News

10/2024: Dr. Yu delivered a invited research talk “Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning” in SISSC 2024!
10/2024: Our paper “Secure and Efficient Federated Learning Against Model Poisoning Attacks in Horizontal and Vertical Data Partitioning” is accepted by IEEE TNNLS! Congrats!
10/2024: Our paper “JSMBox - A Runtime Monitoring Framework for Analyzing and Classifying Malicious JavaScript” is selected as “Best Paper Award” in SEDE 2024! Congrats!
08/2024: Dr. Yu serves on the organizaing committee for ISICN 2025 (San Juan, Pueto Rico). Please consider submitting papers to ISICN 2025.
07/2024: Our paper “JSMBox - A Runtime Monitoring Framework for Analyzing and Classifying Malicious JavaScript” is accepted by SEDE 2024! Congrats!
07/2024: Dr. Yu delivered a invited research talk “Artifical Intelligence & Machine Learning” in IEEE NAECON 2024!
07/2024: Our paper “Code Comprehension: Review and Large Language Models Exploration” is selected as “Best Paper Award” in IEEE SEAI 2024! Congrats!
04/2024: Our paper “Code Comprehension: Review and Large Language Models Exploration” is accepted by IEEE SEAI 2024! Congrats!
03/2024: Our paper “Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning” is accepted by IEEE TNNLS! Congrats!

C. Yu, Z. Meng, W. Zhang, L. Lei, J. Ni, K. Zhang, and H. Zhao, “Secure and Efficient Federated Learning Against Model Poisoning Attacks in Horizontal and Vertical Data Partitioning,” IEEE Transactions on Neural Networks and Learning Systems, 2024.
C. Yu, S. Shen, S. Wang, K. Zhang, and H. Zhao, “Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning,” IEEE Transactions on Neural Networks and Learning Systems, 2024.
C. Yu, S. Shen, H. Yang, K. Zhang, and H. Zhao, “Leveraging Energy, Latency and Robustness for Routing Path Selection in Internet of Battlefield Things,”IEEE Internet of Things Journal, vol.9, no.14, pp.12601-12613, 2022.
C. Yu, S. Si, H. Guo, and H. Zhao, “Modeling and Performance of the IEEE 802.11p Broadcasting for Intra-Platoon Communication” Sensors, vol.18, no.9, pp.2971-2986, 2018.

P. Phung, A. Varghese, B. Wang, Y. Zhao, and C. Yu, “JSMBox - A Runtime Monitoring Framework for Analyzing and Classifying Malicious JavaScript” in Proc. of SEDE 2024, San Diego, USA, Oct. 2024, pp. 100-122.
J. Cui, Y. Zhao, C. Yu, J. Huang, Y. Wu, and Y. Zhao, “Code Comprehension: Review and Large Language Models Exploration,” in Proc. of IEEE SEAI 2024, Xiamen, China, June 2024, pp. 183-187.
C. Yu, S. Shen, S. Wang, K. Zhang, and H. Zhao, “Efficient Multi-Layer Stochastic Gradient Descent Algorithm for Federated Learning in E-health,” in Proc. of IEEE ICC'22, Seoul, South Korea, May 2022, pp. 1263-1268.
C. Yu, S. Shen, K. Zhang, H. Zhao, and Y. Shi, “Energy-Aware Device Scheduling for Joint Federated Learning in Edge-assisted Internet of Agriculture Things,” in Proc. of IEEE WCNC'22, Austin, USA, Apr. 2022, pp. 1140-1145.

CS 7005: Advanced Special Topics in Computer Science (Spring 2025), University of Cincinnati
CS 2028C: Data Structures (Fall 2024), University of Cincinnati
CS 2028C: Data Structures (Fall 2023), University of Cincinnati