Yihe Zhang

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

Status

Education

2024.5

Ph.D. in Computer Science

University of Louisiana at Lafayette, Lafayette, LA, United States

2016.5

M.S. in Computer Engineering

Carnegie Mellon University, Pittsburgh, PA, United States

2014.6

B.E. in Automation

Sun Yat-sen University, Guangzhou, Guangdong, China

Publications

[DIMVA]
2025

Deep Learning Aided Software Vulnerability Detection: A Survey

Md Nizam Uddin, Yihe Zhang, and Xiali Hei

International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, 2025

[IEEE TGRS]
2025

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data

Yihe Zhang, Bryce Turney, Purushottam Sigdel, Xu Yuan, Eric Rappin, Adrian Lago, Sytske Kimball, Li Chen, Paul Darby, Lu Peng, Sercan Aygun, Yazhou Tu, M. Hassan Najafi, Nian-Feng Tzeng

IEEE Transactions on Geoscience and Remote Sensing, 2025

[ACM SIGKDD]
2024

An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions

Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, and Nian-Feng Tzeng

30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

[ECML-PKDD]
2023

Comprehensive transformer-based model architecture for real-world storm prediction

Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, and Nian-Feng Tzeng

Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023

[IEEE/IFIP DSN]
2023

Devils in your apps: Vulnerabilities and user privacy exposure in mobile notification systems

Jiadong Lou, Xiaohan Zhang, Yihe Zhang, Xinghua Li, Xu Yuan, and Ning Zhang

53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023 (Best Paper Award and Distinguished Paper Award)

[IEEE/CVF ICCV]
2023

Mmst-vit: Climate change-aware crop yield prediction via multi-modal spatial-temporal vision transformer

Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy Bayoumi, Nian-Feng Tzeng

IEEE/CVF International Conference on Computer Vision, 2023

[ACSAC]
2021

Platform-Oblivious Anti-Spam Gateway

Yihe Zhang, Xu Yuan, and Nianfeng Tzeng

37th Annual Computer Security Applications Conference, 2021

[ACM SIGSAC CCS]
2021

Reverse attack: Black-box attacks on collaborative recommendation

Yihe Zhang, Xu Yuan, Jin Li, Jiadong Lou, Li Chen, and Nian-Feng Tzeng

ACM SIGSAC Conference on Computer and Communications Security, 2021

[ECML-PKDD]
2021

Precise weather parameter predictions for target regions via neural networks

Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul Darby, Tom Johnsten, Lu Peng, Boisy Pitre, David Bourrie, and Nian-Feng Tzeng

Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021

[ESORICS]
2020

Towards poisoning the neural collaborative filtering-based recommender systems

Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, and Nian-Feng Tzeng

25th European Symposium on Research in Computer Security, 2020

[IEEE TPDS]
2019

Enabling encrypted boolean queries in geographically distributed databases

Xu Yuan, Xingliang Yuan, Yihe Zhang, Baochun Li, and Cong Wang

IEEE Transactions on Parallel and Distributed Systems, 2019

[ACM AsiaCCS]
2019

Tweetscore: Scoring tweets via social attribute relationships for twitter spammer detection

Yihe Zhang, Hao Zhang, Xu Yuan, and Nian-Feng Tzeng

ACM Asia Conference on Computer and Communications Security, 2019

[IEEE/IFIP DSN]
2019

Pseudo-honeypot: Toward efficient and scalable spam sniffer

Yihe Zhang, Hao Zhang, Xu Yuan, and Nian-Feng Tzeng

49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

[ACM CODASPY]
2019

Toward efficient spammers gathering in twitter social networks

Yihe Zhang, Hao Zhang, and Xu Yuan

Ninth ACM Conference on Data and Application Security and Privacy, 2019

Reviewer

Conference

ACL 2025

NeurIPS 2024

COLING 2024

WWW 2024

Journal

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