Load Prediction for Data Centers Based on Database Service. - Rui Cao; Zhaoyang Yu 003; Trent G. Marbach; Jing Li 036; Gang Wang 001; Xiaoguang Liu 001 (COMPSAC (1), 2018)

A Survey of Consensus and Incentive Mechanism in Blockchain Derived from P2P. - Zhaoyang Yu 003; Xiaoguang Liu 001; Gang Wang 001 (ICPADS, 2018)

Compressing Genomic Sequences by Using Deep Learning. - Wenwen Cui; Zhaoyang Yu 003; Zhuangzhuang Liu; Gang Wang 001; Xiaoguang Liu 001 (ICANN (1), 2020)

Attention-based Feature Interaction for Efficient Online Knowledge Distillation. - Tongtong Su; Qiyu Liang; Jinsong Zhang; Zhaoyang Yu 003; Gang Wang 001; Xiaoguang Liu 001 (ICDM, 2021)

Drag-JDEC: A Deep Reinforcement Learning and Graph Neural Network-based Job Dispatching Model in Edge Computing. - Zhaoyang Yu 003; Wenwen Liu; Xiaoguang Liu 001; Gang Wang 001 (IWQoS, 2021)

A Novel Task-Allocation Framework Based on Decision-Tree Classification Algorithm in MEC. - Wenwen Liu; Zhaoyang Yu 003; Meng Yan 008; Gang Wang 001; Xiaoguang Liu 001 (NPC, 2021)

A Pareto-Efficient Task-Allocation Framework Based on Deep Reinforcement Learning Algorithm in MEC. - Wenwen Liu; Sinong Zhao; Zhaoyang Yu 003; Gang Wang 001; Xiaoguang Liu 001 (CollaborateCom (2), 2022)

MSDN: A Multi-Subspace Deviation Net for Anomaly Detection. - Sinong Zhao; Zhaoyang Yu 003; 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 003; Sinong Zhao; Tongtong Su; Wenwen Liu; Xiaoguang Liu 001; Gang Wang 001; Zehua Wang; Victor C. M. Leung (ICSOC, 2022)

Interference-Aware Task Allocation with QoS Guarantee on Edge. - Wenwen Liu; Zhaoyang Yu 003; Gang Wang 001; Xiaoguang Liu 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Meta Pseudo Labels for Anomaly Detection via Partially Observed Anomalies. - Sinong Zhao; Zhaoyang Yu 003; 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 003; 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 003; Trent G. Marbach; Gang Wang 001; Airu Yin; Yatao Zhou; Xiaoguang Liu 001 (Neurocomputing, 2023)

Deep Cross-Layer Collaborative Learning Network for Online Knowledge Distillation. - Tongtong Su; Qiyu Liang; Jinsong Zhang; Zhaoyang Yu 003; Ziyue Xu 005; Gang Wang 001; Xiaoguang Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Meta pseudo labels for anomaly detection via partially observed anomalies. - Sinong Zhao; Zhaoyang Yu 003; Sifan Li; Xiaofei Wang 001; Trent G. Marbach; Gang Wang 001; Xiaoguang Liu 001 (Eng. Appl. Artif. Intell., 2023)

STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression. - Tongtong Su; Jinsong Zhang; Zhaoyang Yu 003; Gang Wang 001; Xiaoguang Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling. - Sinong Zhao; Wenrui Wang; Hongzuo Xu; Zhaoyang Yu 003; Qingsong Wen; Gang Wang 001; Xiaoguang Liu 001; Guansong Pang (CoRR, 2024)