Deep Metric Learning for Software Change-Proneness Prediction. - Yongxin Ge; Min Chen 016; Chao Liu 014; Feiyi Chen; Sheng Huang 001; Hongxing Wang 001 (IScIDE, 2018)

MMFN: Multi-Modal-Fusion-Net for End-to-End Driving. - Qingwen Zhang; Mingkai Tang 002; Ruoyu Geng; Feiyi Chen; Ren Xin; Lujia Wang 001 (IROS, 2022)

Automatic Multi-camera Multi-LiDAR Extrinsic Calibration using Geometric Corners. - Feiyi Chen; Shuyang Zhang; Xupeng Xie; Qingwen Zhang; Yutong Wang; Jianhao Jiao; Ming Liu 001 (ITSC, 2022)

Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates. - Hailiang Zhao; Shuiguang Deng; Feiyi Chen; Jianwei Yin; Schahram Dustdar; Albert Y. Zomaya (CoRR, 2022)

LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution. - Jianhao Jiao; Feiyi Chen; Hexiang Wei; Jin Wu 002; Ming Liu 001 (CoRR, 2023)

PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload. - Feiyi Chen; Zhen Qin 004; Hailiang Zhao; Mengchu Zhou; Shuiguang Deng (CoRR, 2023)

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection. - Feiyi Chen; Zhen Qing; Yingying Zhang; Shuiguang Deng; Yi Xiao; Guansong Pang; Qingsong Wen (CoRR, 2023)

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. - Feiyi Chen; Yingying Zhang; Zhen Qin 004; Lunting Fan; Renhe Jiang; Yuxuan Liang; Qingsong Wen; Shuiguang Deng (CoRR, 2023)

PBACalib: Targetless Extrinsic Calibration for High-Resolution LiDAR-Camera System Based on Plane-Constrained Bundle Adjustment. - Feiyi Chen; Liang Li; Shuyang Zhang; Jin Wu 002; Lujia Wang 001 (IEEE Robotics Autom. Lett., 2023)

Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds. - Hailiang Zhao; Shuiguang Deng; Feiyi Chen; Jianwei Yin; Schahram Dustdar; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2023)

A VT-HMM-Based Framework for Countdown Timer Traffic Light State Estimation. - Shuyang Zhang; Qingwen Zhang; Feiyi Chen; Jin Wu 002; Jianhao Jiao; Lujia Wang 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. - Zhen Qin 004; Feiyi Chen; Chen Zhi; Xueqiang Yan; Shuiguang Deng (AAAI, 2024)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. - Feiyi Chen; Yingying Zhang; Zhen Qin 004; Lunting Fan; Renhe Jiang; Yuxuan Liang; Qingsong Wen; Shuiguang Deng (ICDE, 2024)

Cluster-Wide Task Slowdown Detection in Cloud System. - Feiyi Chen; Yingying Zhang; Lunting Fan; Yuxuan Liang; Guansong Pang; Qingsong Wen; Shuiguang Deng (KDD, 2024)

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. - Feiyi Chen; Zhen Qin 004; Mengchu Zhou; Yingying Zhang; Shuiguang Deng; Lunting Fan; Guansong Pang; Qingsong Wen (WWW, 2024)

Cloud-Native Computing: A Survey From the Perspective of Services. - Shuiguang Deng; Hailiang Zhao; Binbin Huang; Cheng Zhang 010; Feiyi Chen; Yinuo Deng; Jianwei Yin; Schahram Dustdar; Albert Y. Zomaya (Proc. IEEE, 2024)

Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection. - Feiyi Chen; Leilei Zhang; Guansong Pang; Roger Zimmermann; Shuiguang Deng (CoRR, 2025)