A Pareto-Efficient Task-Allocation Framework Based on Deep Reinforcement Learning Algorithm in MEC. - Wenwen Liu; Sinong Zhao; Zhaoyang Yu; Gang Wang 001; Xiaoguang Liu 001 (CollaborateCom (2), 2022)

MSDN: A Multi-Subspace Deviation Net for Anomaly Detection. - Sinong Zhao; Zhaoyang Yu; Trent G. Marbach; Gang Wang 001; Xiaoguang Liu 001 (ICDM, 2022)

DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. - Zhaoyang Yu; Sinong Zhao; Tongtong Su; Wenwen Liu; Xiaoguang Liu 001; Gang Wang 001; Zehua Wang; Victor C. M. Leung (ICSOC, 2022)

Meta Pseudo Labels for Anomaly Detection via Partially Observed Anomalies. - Sinong Zhao; Zhaoyang Yu; Xiaofei Wang 001; Trent G. Marbach; Gang Wang 001; Xiaoguang Liu 001 (DASFAA (4), 2023)

RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing. - Zhaoyang Yu; Sinong Zhao; Tongtong Su; Wenwen Liu; Xiaoguang Liu 001; Gang Wang 001; Zehua Wang; Victor C. M. Leung (MobiQuitous (1), 2023)

MDGAD: Meta domain generalization for distribution drift in anomaly detection. - Sinong Zhao; Zhaoyang Yu; Trent G. Marbach; Gang Wang 001; Airu Yin; Yatao Zhou; Xiaoguang Liu 001 (Neurocomputing, 2023)

Meta pseudo labels for anomaly detection via partially observed anomalies. - Sinong Zhao; Zhaoyang Yu; Sifan Li; Xiaofei Wang 001; Trent G. Marbach; Gang Wang 001; Xiaoguang Liu 001 (Eng. Appl. Artif. Intell., 2023)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling. - Sinong Zhao; Wenrui Wang; Hongzuo Xu; Zhaoyang Yu; Qingsong Wen; Gang Wang 001; Xiaoguang Liu 001; Guansong Pang (CoRR, 2024)