Yihe Zhang has been a cybersecurity research scientist at the University of Louisiana at Lafayette since 2024, working with Dr. Xiali (Sharon) Hei. He earned his Ph.D. in Computer Science from the same institution, supervised by Dr. Nian-Feng Tzeng and formerly advised by Dr. Xu Yuan. Before that, he received an M.S. degree from Carnegie Mellon University in 2016. His research interests include Online Social Network Security and AI Security. He is a student participant in the Precise Regional Forecasting via the Intelligent and Rapid Harnessing (PREFER) program. He has received the Best Paper Award and the Distinguished Paper Award at DSN 2023.
Contact:
yihe.zhang a.t louisiana.edu
Ph.D. in Computer Science
University of Louisiana at Lafayette, Lafayette, LA, United States
M.S. in Computer Engineering
Carnegie Mellon University, Pittsburgh, PA, United States
B.E. in Automation
Sun Yat-sen University, Guangzhou, Guangdong, China
Deep Learning Aided Software Vulnerability Detection: A Survey
International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, 2025
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
IEEE Transactions on Geoscience and Remote Sensing, 2025
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Comprehensive transformer-based model architecture for real-world storm prediction
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023
Devils in your apps: Vulnerabilities and user privacy exposure in mobile notification systems
53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023 (Best Paper Award and Distinguished Paper Award)
Mmst-vit: Climate change-aware crop yield prediction via multi-modal spatial-temporal vision transformer
IEEE/CVF International Conference on Computer Vision, 2023
Platform-Oblivious Anti-Spam Gateway
37th Annual Computer Security Applications Conference, 2021
Reverse attack: Black-box attacks on collaborative recommendation
ACM SIGSAC Conference on Computer and Communications Security, 2021
Precise weather parameter predictions for target regions via neural networks
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021
Towards poisoning the neural collaborative filtering-based recommender systems
25th European Symposium on Research in Computer Security, 2020
Enabling encrypted boolean queries in geographically distributed databases
IEEE Transactions on Parallel and Distributed Systems, 2019
Tweetscore: Scoring tweets via social attribute relationships for twitter spammer detection
ACM Asia Conference on Computer and Communications Security, 2019
Pseudo-honeypot: Toward efficient and scalable spam sniffer
49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019
Toward efficient spammers gathering in twitter social networks
Ninth ACM Conference on Data and Application Security and Privacy, 2019
ACL 2025
NeurIPS 2024
COLING 2024
WWW 2024
IEEE Transactions on Dependable and Secure Computing
Journal of Social Network Analysis and Mining
Engineering Applications of Artificial Intelligence
Industrial Crops and Products
Information Processing in Agriculture
Journal of Information Security and Applications
Results in Engineering
Smart Agricultural Technology