On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing. - Zhengyao Gu; Mark Hopkins (ACL (1), 2023)

Always be Pre-Training: Representation Learning for Network Intrusion Detection with GNNs. - Zhengyao Gu; Diego Troy Lopez; Lilas Alrahis; Ozgur Sinanoglu (ISQED, 2024)

TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. - Henry Peng Zou; Zhengyao Gu; Yue Zhou; Yankai Chen 001; Weizhi Zhang 001; Liancheng Fang; Yibo Wang 001; Yangning Li; Kay Liu; Philip S. Yu (ACL (1), 2025)

TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. - Henry Peng Zou; Zhengyao Gu; Yue Zhou; Yankai Chen 001; Weizhi Zhang 001; Liancheng Fang; Yibo Wang 001; Yangning Li; Kay Liu; Philip S. Yu (CoRR, 2025)

Semi-Supervised In-Context Learning: A Baseline Study. - Zhengyao Gu; Henry Peng Zou; Yankai Chen 001; Aiwei Liu; Weizhi Zhang 001; Philip S. Yu (CoRR, 2025)

Network intrusion detection based on feature fusion of attack dimension. - Xiaolong Sun; Zhengyao Gu; Hao Zhang 078; Jason Gu; Yanhua Liu; Chen Dong 002; Junwei Ye (J. Supercomput., 2025)