Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection. - Kai Cheng 001; Xinhua Zeng; Yang Liu 246; Mengyang Zhao; Chengxin Pang; Xing Hu 006 (ICASSP, 2023)

Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection. - Kai Cheng 001; Xinhua Zeng; Yang Liu 246; Tian Wang 002; Chengxin Pang; Jing Teng; Zhaoyang Xia; Jing Liu 050 (CoRR, 2023)

Learning Graph Enhanced Spatial-Temporal Coherence for Video Anomaly Detection. - Kai Cheng 001; Yang Liu 246; Xinhua Zeng (IEEE Signal Process. Lett., 2023)

Stochastic video normality network for abnormal event detection in surveillance videos. - Yang Liu 246; Dingkang Yang; Gaoyun Fang; Yuzheng Wang; Donglai Wei 002; Mengyang Zhao; Kai Cheng 001; Jing Liu 050; Liang Song (Knowl. Based Syst., 2023)

A Lightweight Multi-Scale Efficient Model for Breast Cancer Detection and Classification in Mammograms. - Zhiyu Chen; Xinhua Zeng; Kai Cheng 001; Yu Hong; Ying Liu; Run Fang; Chengsheng Liao; Jerome Plain (ICONIP (4), 2024)

Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames. - Kai Cheng 001; Yaning Pan; Yang Liu 246; Xinhua Zeng; Rui Feng (IJCAI, 2024)

Normality learning reinforcement for anomaly detection in surveillance videos. - Kai Cheng 001; Xinhua Zeng; Yang Liu 246; Yaning Pan; Xinzhe Li 004 (Knowl. Based Syst., 2024)