TweetScore: Scoring Tweets via Social Attribute Relationships for Twitter Spammer Detection. - Yihe Zhang 001; Hao Zhang 023; Xu Yuan 001; Nian-Feng Tzeng (AsiaCCS, 2019)

Toward Efficient Spammers Gathering in Twitter Social Networks. - Yihe Zhang 001; Hao Zhang 023; Xu Yuan 001 (CODASPY, 2019)

Pseudo-Honeypot: Toward Efficient and Scalable Spam Sniffer. - Yihe Zhang 001; Hao Zhang 023; Xu Yuan 001; Nian-Feng Tzeng (DSN, 2019)

Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems. - Yihe Zhang 001; Jiadong Lou; Li Chen 019; Xu Yuan 001; Jin Li 002; Tom Johnsten; Nian-Feng Tzeng (ESORICS (1), 2020)

Enabling Encrypted Boolean Queries in Geographically Distributed Databases. - Xu Yuan 001; Xingliang Yuan; Yihe Zhang 001; Baochun Li; Cong Wang 001 (IEEE Trans. Parallel Distributed Syst., 2020)

Platform-Oblivious Anti-Spam Gateway. - Yihe Zhang 001; Xu Yuan 001; Nian-Feng Tzeng (ACSAC, 2021)

Reverse Attack: Black-box Attacks on Collaborative Recommendation. - Yihe Zhang 001; Xu Yuan 001; Jin Li 002; Jiadong Lou; Li Chen 019; Nian-Feng Tzeng (CCS, 2021)

Precise Weather Parameter Predictions for Target Regions via Neural Networks. - Yihe Zhang 001; Xu Yuan 001; Sytske K. Kimball; Eric Rappin; Li Chen 019; Paul J. Darby III; Tom Johnsten; Lu Peng 001; Boisy Pitre; David Bourrie; Nian-Feng Tzeng (ECML/PKDD (5), 2021)

Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems. - Jiadong Lou; Xiaohan Zhang; Yihe Zhang 001; Xinghua Li 001; Xu Yuan 001; Ning Zhang 017 (DSN, 2023)

MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. - Fudong Lin; Summer Crawford; Kaleb Guillot; Yihe Zhang 001; Yan Chen; Xu Yuan 001; Li Chen 019; Shelby Williams; Robert Minvielle; Xiangming Xiao; Drew Gholson; Nicolas Ashwell; et al. (ICCV, 2023)

Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction. - Fudong Lin; Xu Yuan 001; Yihe Zhang 001; Purushottam Sigdel; Li Chen 019; Lu Peng 001; Nian-Feng Tzeng (ECML/PKDD (7), 2023)

An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. - Fudong Lin; Kaleb Guillot; Summer Crawford; Yihe Zhang 001; Xu Yuan 001; Nian-Feng Tzeng (KDD, 2024)

Knowledge Bases in Support of Large Language Models for Processing Web News. - Yihe Zhang 001; Nabin Pakka; Nian-Feng Tzeng (CoRR, 2024)

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data. - Yihe Zhang 001; Bryce Turney; Purushottam Sigdel; Xu Yuan 001; Eric Rappin; Adrian Lago; Sytske K. Kimball; Li Chen 019; Paul J. Darby III; Lu Peng 001; Sercan Aygun; Yazhou Tu; et al. (CoRR, 2024)

Regional Weather Variable Predictions by Machine Learning With Near-Surface Observational and Atmospheric Numerical Data. - Yihe Zhang 001; Bryce Turney; Purushottam Sigdel; Xu Yuan 001; Eric Rappin; Adrian Lago; Sytske K. Kimball; Li Chen 019; Paul J. Darby; Lu Peng 001; Sercan Aygun; Yazhou Tu; et al. (IEEE Trans. Geosci. Remote. Sens., 2025)

Deep Learning Aided Software Vulnerability Detection: A Survey. - Md. Nizam Uddin; Yihe Zhang 001; Xiali Hei 001 (CoRR, 2025)