Yihe Zhang - RankMe

19 papers A* 3A 4Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MHDash: An Online Platform for Benchmarking Mental Health-Aware AI Assistants. CoRR Yihe Zhang, Cheyenne N. Mohawk, Kaiying Han, Vijay Srinivas Tida, Manyu Li, Xiali Hei
2025	J	`jnl`	Deep Learning Aided Software Vulnerability Detection: A Survey. CoRR Md. Nizam Uddin, Yihe Zhang, Xiali Hei
2025	J	`jnl`	Regional Weather Variable Predictions by Machine Learning With Near-Surface Observational and Atmospheric Numerical Data. IEEE Trans. Geosci. Remote. Sens. Yihe Zhang, Bryce Turney, Purushottam Sigdel, Xu Yuan, Eric Rappin, Adrian Lago, Sytske K. Kimball, Li Chen, Paul J. Darby, Lu Peng, Sercan Aygun, Yazhou Tu, M. Hassan Najafi, Nian-Feng Tzeng
2024	A*	`conf`	An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. KDD Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng
2024	J	`jnl`	An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. CoRR Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng
2024	J	`jnl`	Knowledge Bases in Support of Large Language Models for Processing Web News. CoRR Yihe Zhang, Nabin Pakka, Nian-Feng Tzeng
2024	J	`jnl`	Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data. CoRR Yihe Zhang, Bryce Turney, Purushottam Sigdel, Xu Yuan, Eric Rappin, Adrian Lago, Sytske K. Kimball, Li Chen, Paul J. Darby III, Lu Peng, Sercan Aygun, Yazhou Tu, M. Hassan Najafi, Nian-Feng Tzeng
2023	—	`conf`	Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction. ECML/PKDD (7) Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, Nian-Feng Tzeng
2023	A	`conf`	Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems. DSN Jiadong Lou, Xiaohan Zhang, Yihe Zhang, Xinghua Li, Xu Yuan, Ning Zhang
2023	A*	`conf`	MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. ICCV 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 A. Bayoumi, Nian-Feng Tzeng
2023	J	`jnl`	MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. CoRR 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 A. Bayoumi, Nian-Feng Tzeng
2021	A	`conf`	Platform-Oblivious Anti-Spam Gateway. ACSAC Yihe Zhang, Xu Yuan, Nian-Feng Tzeng
2021	—	`conf`	Precise Weather Parameter Predictions for Target Regions via Neural Networks. ECML/PKDD (5) Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul J. Darby III, Tom Johnsten, Lu Peng, Boisy Pitre, David Bourrie, Nian-Feng Tzeng
2021	A*	`conf`	Reverse Attack: Black-box Attacks on Collaborative Recommendation. CCS Yihe Zhang, Xu Yuan, Jin Li, Jiadong Lou, Li Chen, Nian-Feng Tzeng
2020	J	`jnl`	Enabling Encrypted Boolean Queries in Geographically Distributed Databases. IEEE Trans. Parallel Distributed Syst. Xu Yuan, Xingliang Yuan, Yihe Zhang, Baochun Li, Cong Wang
2020	—	`conf`	Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems. ESORICS (1) Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, Nian-Feng Tzeng
2019	A	`conf`	Pseudo-Honeypot: Toward Efficient and Scalable Spam Sniffer. DSN Yihe Zhang, Hao Zhang, Xu Yuan, Nian-Feng Tzeng
2019	—	`conf`	Toward Efficient Spammers Gathering in Twitter Social Networks. CODASPY Yihe Zhang, Hao Zhang, Xu Yuan
2019	A	`conf`	TweetScore: Scoring Tweets via Social Attribute Relationships for Twitter Spammer Detection. AsiaCCS Yihe Zhang, Hao Zhang, Xu Yuan, Nian-Feng Tzeng