Design of a Flexible Articulated Robotic Hand for a Humanoid Robot. - Li Tian; Jing Liu 050; Nadia Magnenat-Thalmann; Daniel Thalmann; Jianmin Zheng (Humanoids, 2019)

Learning Progressive Joint Propagation for Human Motion Prediction. - Yujun Cai; Lin Huang 004; Yiwei Wang 001; Tat-Jen Cham; Jianfei Cai 001; Junsong Yuan 001; Jun Liu 036; Xu Yang 021; Yiheng Zhu 003; Xiaohui Shen; Ding Liu; Jing Liu 050; et al. (ECCV (7), 2020)

Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. - Hanqi Wang; Xing Hu 006; Liang Song; Guanhua Zhang; Yang Liu 246; Jing Liu 050; Linhua Jiang (ICONIP (1), 2021)

Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention. - Yang Liu 246; Jing Liu 050; Xiaoguang Zhu; Donglai Wei 002; Xiaohong Huang; Liang Song (ICASSP, 2022)

Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection. - Donglai Wei 002; Chen-Geng Liu; Yang Liu 246; Jing Liu 050; Xiao-Guang Zhu; Xinhua Zeng (ICASSP, 2022)

Learning Appearance-Motion Normality for Video Anomaly Detection. - Yang Liu 246; Jing Liu 050; Mengyang Zhao; Dingkang Yang; Xiaoguang Zhu; Liang Song (ICME, 2022)

MAR2MIX: A Novel Model for Dynamic Problem in Multi-agent Reinforcement Learning. - Gaoyun Fang; Yang Liu 246; Jing Liu 050; Liang Song (ICONIP (4), 2022)

Exploiting Spatial-temporal Correlations for Video Anomaly Detection. - Mengyang Zhao; Yang Liu 246; Jing Liu 050; Xinhua Zeng (ICPR, 2022)

Abnormal Event Detection with Self-guiding Multi-instance Ranking Framework. - Yang Liu 246; Jing Liu 050; Wei Ni; Liang Song (IJCNN, 2022)

Attention-Based Auto-Encoder Framework for Abnormal Driving Detection. - Jing Liu 050; Yang Liu 246; Donglai Wei 002; Wei Ni; Xinhua Zeng; Liang Song (ISCAS, 2022)

Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition. - Jing Liu 050; Yang Liu 246; Chengwen Tian; Mengyang Zhao; Xinhua Zeng; Liang Song (ISCAS, 2022)

LGN-Net: Local-Global Normality Network for Video Anomaly Detection. - Mengyang Zhao; Xinhua Zeng; Jing Liu 050; Di Li; Chengxin Pang; Yang Liu 246 (CoRR, 2022)

MSAF: Multimodal Supervise-Attention Enhanced Fusion for Video Anomaly Detection. - Donglai Wei 002; Yang Liu 246; Xiaoguang Zhu; Jing Liu 050; Xinhua Zeng (IEEE Signal Process. Lett., 2022)

Appearance-Motion United Auto-Encoder Framework for Video Anomaly Detection. - Yang Liu 246; Jing Liu 050; Jieyu Lin; Mengyang Zhao; Liang Song (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection. - Yang Liu 246; Jing Liu 050; Mengyang Zhao; Shuang Li; Liang Song (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Surrogate-Assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies. - Yifan Li; Jing Liu 050; Yang Liu 246 (CEC, 2023)

MSN-net: Multi-Scale Normality Network for Video Anomaly Detection. - Yang Liu 246; Di Li; Wei Zhu; Dingkang Yang; Jing Liu 050; Liang Song (ICASSP, 2023)

A Novel Efficient Multi-View Traffic-Related Object Detection Framework. - Kun Yang 010; Jing Liu 050; Dingkang Yang; Hanqi Wang; Peng Sun 007; Yanni Zhang; Yan Liu; Liang Song (ICASSP, 2023)

AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception. - Dingkang Yang; Shuai Huang; Zhi Xu; Zhenpeng Li; Shunli Wang 001; Mingcheng Li; Yuzheng Wang; Yang Liu 246; Kun Yang 010; Zhaoyu Chen 001; Yan Wang 068; Jing Liu 050; et al. (ICCV, 2023)

Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception. - Kun Yang 010; Dingkang Yang; Jingyu Zhang; Mingcheng Li; Yang Liu 246; Jing Liu 050; Hanqi Wang; Peng Sun 007; Liang Song (ICCV, 2023)

Learning Causality-inspired Representation Consistency for Video Anomaly Detection. - Yang Liu 246; Zhaoyang Xia; Mengyang Zhao; Donglai Wei 002; Yuzheng Wang; Siao Liu; Bobo Ju; Gaoyun Fang; Jing Liu 050; Liang Song (ACM Multimedia, 2023)

How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception. - Dingkang Yang; Kun Yang 010; Yuzheng Wang; Jing Liu 050; Zhi Xu; Rongbin Yin; Peng Zhai; Lihua Zhang (NeurIPS, 2023)

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models. - Yang Liu 246; Dingkang Yang; Yan Wang 068; Jing Liu 050; Liang Song (CoRR, 2023)

Calibrating Cross-modal Feature for Text-Based Person Searching. - Donglai Wei 002; Sipeng Zhang; Tong Yang; Jing Liu 050 (CoRR, 2023)

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

OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection. - Yang Liu 246; Zhengliang Guo; Jing Liu 050; Chengfang Li; Liang Song (IEEE Signal Process. Lett., 2023)

Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data. - Xiaowei Xiang; Yang Liu 246; Gaoyun Fang; Jing Liu 050; Mengyang Zhao (IEEE Signal Process. Lett., 2023)

DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion. - Jing Liu 050; Yang Liu 246; Di Li; Hanqi Wang; Xiaohong Huang; Liang Song (Appl. Intell., 2023)

Distributional and spatial-temporal robust representation learning for transportation activity recognition. - Jing Liu 050; Yang Liu 246; Wei Zhu; Xiaoguang Zhu; Liang Song (Pattern Recognit., 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; Jing Liu 050; Liang Song (Knowl. Based Syst., 2023)

DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction. - Weilong Lin; Xinhua Zeng; Chengxin Pang; Jing Teng; Jing Liu 050 (ICRA, 2024)

Open Service for Networking Systems of AI: A Case Study in Adaptation Optimization. - Bobo Ju; Kun Yang 010; Yang Liu 246; Jing Liu 050; Peng Sun 007; Wei Ni; Liang Song (WF-IoT, 2024)

End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce. - Liangyu Teng; Yang Liu 246; Jing Liu 050; Liang Song (WF-IoT, 2024)

Memory-enhanced appearance-motion consistency framework for video anomaly detection. - Zhiyuan Ning; Zile Wang; Yang Liu 246; Jing Liu 050; Liang Song (Comput. Commun., 2024)

Networking Systems for Video Anomaly Detection: A Tutorial and Survey. - Jing Liu 050; Yang Liu 246; Jieyu Lin; Jielin Li; Peng Sun 007; Bo Hu 002; Liang Song; Azzedine Boukerche; Victor C. M. Leung (CoRR, 2024)

OUS: Scene-Guided Dynamic Facial Expression Recognition. - Xinji Mai; Haoran Wang 006; Zeng Tao; Junxiong Lin; Shaoqi Yan; Yan Wang 068; Jing Liu 050; Jiawen Yu; Xuan Tong; Yating Li; Wenqiang Zhang (CoRR, 2024)

A Survey on Facial Expression Recognition of Static and Dynamic Emotions. - Yan Wang 068; Shaoqi Yan; Yang Liu 246; Wei Song 007; Jing Liu 050; Yang Chang; Xinji Mai; Xiping Hu; Wenqiang Zhang; Zhongxue Gan (CoRR, 2024)

Privacy-Preserving Video Anomaly Detection: A Survey. - Jing Liu 050; Yang Liu 246; Xiaoguang Zhu (CoRR, 2024)

Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system. - Yang Liu 246; Bobo Ju; Dingkang Yang; Liyuan Peng; Di Li; Peng Sun 007; Chengfang Li; Hao Yang; Jing Liu 050; Liang Song (Expert Syst. Appl., 2024)

Decoding Silent Reading EEG Signals Using Adaptive Feature Graph Convolutional Network. - Chengfang Li; Gaoyun Fang; Yang Liu 246; Jing Liu 050; Liang Song (IEEE Signal Process. Lett., 2024)

AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System. - Yang Liu 246; Jing Liu 050; Kun Yang 010; Bobo Ju; Siao Liu; Yuzheng Wang; Dingkang Yang; Peng Sun 007; Liang Song (IEEE Trans. Ind. Informatics, 2024)

MGR3Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots. - Yan Wang 068; Shaoqi Yan; Wei Song 007; Antonio Liotta; Jing Liu 050; Dingkang Yang; Shuyong Gao; Wenqiang Zhang (IEEE Trans. Ind. Informatics, 2024)

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models. - Yang Liu 246; Dingkang Yang; Yan Wang 068; Jing Liu 050; Jun Liu 036; Azzedine Boukerche; Peng Sun 007; Liang Song (ACM Comput. Surv., 2024)

Domain generalization with semi-supervised learning for people-centric activity recognition. - Jing Liu 050; Wei Zhu; Di Li; Xing Hu 006; Liang Song (Sci. China Inf. Sci., 2025)

CNN-DAG-Editor: A Convolutional Neural Network offloading analyzer with Multi-Objective Dynamic Adaptive Resource Competitive Swarm Optimization. - Bobo Ju; Yang Liu 246; Jing Liu 050; Peng Sun 007; Liang Song (Comput. Networks, 2025)

Rethinking prediction-based video anomaly detection from local-global normality perspective. - Mengyang Zhao; Xinhua Zeng; Yang Liu 246; Jing Liu 050; Chengxin Pang (Expert Syst. Appl., 2025)

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos. - Yang Liu 246; Hongjin Wang; Zepu Wang; Xiaoguang Zhu; Jing Liu 050; Peng Sun 007; Rui Tang; Jianwei Du; Victor C. M. Leung; Liang Song (IEEE Trans. Image Process., 2025)

A Survey on Diffusion Models for Anomaly Detection. - Jing Liu 050; Zhenchao Ma; Zepu Wang; Yang Liu 246; Zehua Wang; Peng Sun 007; Liang Song; Bo Hu 002; Azzedine Boukerche; Victor C. M. Leung (CoRR, 2025)

Anomaly Detection and Generation with Diffusion Models: A Survey. - Yang Liu 246; Jing Liu 050; Chengfang Li; Rui Xi; Wenchao Li; Liang Cao; Jin Wang 018; Laurence T. Yang; Junsong Yuan 001; Wei Zhou 013 (CoRR, 2025)

Networking Systems for Video Anomaly Detection: A Tutorial and Survey. - Jing Liu 050; Yang Liu 246; Jieyu Lin; Jielin Li; Liang Cao; Peng Sun 007; Bo Hu 002; Liang Song; Azzedine Boukerche; Victor C. M. Leung (ACM Comput. Surv., 2025)