Jing Liu

According to our database, Jing Liu authored at least 39 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rethinking prediction-based video anomaly detection from local-global normality perspective.

Mengyang Zhao, Xinhua Zeng, Yang Liu, Jing Liu, Chengxin Pang

Expert Syst. Appl., 2025

2024

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models.

Yang Liu, Dingkang Yang, Yan Wang, Jing Liu, Jun Liu, Azzedine Boukerche, Peng Sun, Liang Song

ACM Comput. Surv., July, 2024

MGR³Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots.

Yan Wang, Shaoqi Yan, Wei Song, Antonio Liotta, Jing Liu, Dingkang Yang, Shuyong Gao, Wenqiang Zhang

IEEE Trans. Ind. Informatics, May, 2024

AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System.

Yang Liu, Jing Liu, Kun Yang, Bobo Ju, Siao Liu, Yuzheng Wang, Dingkang Yang, Peng Sun, Liang Song

IEEE Trans. Ind. Informatics, February, 2024

Decoding Silent Reading EEG Signals Using Adaptive Feature Graph Convolutional Network.

Chengfang Li, Gaoyun Fang, Yang Liu, Jing Liu, Liang Song

IEEE Signal Process. Lett., 2024

Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system.

Yang Liu, Bobo Ju, Dingkang Yang, Liyuan Peng, Di Li, Peng Sun, Chengfang Li, Hao Yang, Jing Liu, Liang Song

Expert Syst. Appl., 2024

A Survey on Facial Expression Recognition of Static and Dynamic Emotions.

Yan Wang, Shaoqi Yan, Yang Liu, Wei Song, Jing Liu, Yang Chang, Xinji Mai, Xiping Hu, Wenqiang Zhang, Zhongxue Gan

CoRR, 2024

Memory-enhanced appearance-motion consistency framework for video anomaly detection.

Zhiyuan Ning, Zile Wang, Yang Liu, Jing Liu, Liang Song

Comput. Commun., 2024

DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction.

Weilong Lin, Xinhua Zeng, Chengxin Pang, Jing Teng, Jing Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Stochastic video normality network for abnormal event detection in surveillance videos.

Yang Liu, Dingkang Yang, Gaoyun Fang, Yuzheng Wang, Donglai Wei, Mengyang Zhao, Kai Cheng, Jing Liu, Liang Song

Knowl. Based Syst., November, 2023

Distributional and spatial-temporal robust representation learning for transportation activity recognition.

Jing Liu, Yang Liu, Wei Zhu, Xiaoguang Zhu, Liang Song

Pattern Recognit., August, 2023

DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion.

Jing Liu, Yang Liu, Di Li, Hanqi Wang, Xiaohong Huang, Liang Song

Appl. Intell., August, 2023

Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data.

Xiaowei Xiang, Yang Liu, Gaoyun Fang, Jing Liu, Mengyang Zhao

IEEE Signal Process. Lett., 2023

OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection.

Yang Liu, Zhengliang Guo, Jing Liu, Chengfang Li, Liang Song

IEEE Signal Process. Lett., 2023

Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection.

Kai Cheng, Xinhua Zeng, Yang Liu, Tian Wang, Chengxin Pang, Jing Teng, Zhaoyang Xia, Jing Liu

CoRR, 2023

Calibrating Cross-modal Feature for Text-Based Person Searching.

Donglai Wei, Sipeng Zhang, Tong Yang, Jing Liu

CoRR, 2023

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models.

Yang Liu, Dingkang Yang, Yan Wang, Jing Liu, Liang Song

CoRR, 2023

How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception.

Dingkang Yang, Kun Yang, Yuzheng Wang, Jing Liu, Zhi Xu, Rongbin Yin, Peng Zhai, Lihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Causality-inspired Representation Consistency for Video Anomaly Detection.

Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang, Siao Liu, Bobo Ju, Gaoyun Fang, Jing Liu, Liang Song

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception.

Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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, Mingcheng Li, Yuzheng Wang, Yang Liu, Kun Yang, Zhaoyu Chen, Yan Wang, Jing Liu, Peixuan Zhang, Peng Zhai, Lihua Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Novel Efficient Multi-View Traffic-Related Object Detection Framework.

Kun Yang, Jing Liu, Dingkang Yang, Hanqi Wang, Peng Sun, Yanni Zhang, Yan Liu, Liang Song

Proceedings of the IEEE International Conference on Acoustics, 2023

MSN-net: Multi-Scale Normality Network for Video Anomaly Detection.

Yang Liu, Di Li, Wei Zhu, Dingkang Yang, Jing Liu, Liang Song

Proceedings of the IEEE International Conference on Acoustics, 2023

Surrogate-Assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies.

Yifan Li, Jing Liu, Yang Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection.

Yang Liu, Jing Liu, Mengyang Zhao, Shuang Li, Liang Song

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Appearance-Motion United Auto-Encoder Framework for Video Anomaly Detection.

Yang Liu, Jing Liu, Jieyu Lin, Mengyang Zhao, Liang Song

IEEE Trans. Circuits Syst. II Express Briefs, 2022

MSAF: Multimodal Supervise-Attention Enhanced Fusion for Video Anomaly Detection.

Donglai Wei, Yang Liu, Xiaoguang Zhu, Jing Liu, Xinhua Zeng

IEEE Signal Process. Lett., 2022

LGN-Net: Local-Global Normality Network for Video Anomaly Detection.

Mengyang Zhao, Xinhua Zeng, Jing Liu, Di Li, Chengxin Pang, Yang Liu

CoRR, 2022

Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition.

Jing Liu, Yang Liu, Chengwen Tian, Mengyang Zhao, Xinhua Zeng, Liang Song

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Attention-Based Auto-Encoder Framework for Abnormal Driving Detection.

Jing Liu, Yang Liu, Donglai Wei, Wei Ni, Xinhua Zeng, Liang Song

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Abnormal Event Detection with Self-guiding Multi-instance Ranking Framework.

Yang Liu, Jing Liu, Wei Ni, Liang Song

Proceedings of the International Joint Conference on Neural Networks, 2022

Exploiting Spatial-temporal Correlations for Video Anomaly Detection.

Mengyang Zhao, Yang Liu, Jing Liu, Xinhua Zeng

Proceedings of the 26th International Conference on Pattern Recognition, 2022

MAR2MIX: A Novel Model for Dynamic Problem in Multi-agent Reinforcement Learning.

Gaoyun Fang, Yang Liu, Jing Liu, Liang Song

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Learning Appearance-Motion Normality for Video Anomaly Detection.

Yang Liu, Jing Liu, Mengyang Zhao, Dingkang Yang, Xiaoguang Zhu, Liang Song

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection.

Donglai Wei, Chen-Geng Liu, Yang Liu, Jing Liu, Xiao-Guang Zhu, Xinhua Zeng

Proceedings of the IEEE International Conference on Acoustics, 2022

Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention.

Yang Liu, Jing Liu, Xiaoguang Zhu, Donglai Wei, Xiaohong Huang, Liang Song

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly.

Hanqi Wang, Xing Hu, Liang Song, Guanhua Zhang, Yang Liu, Jing Liu, Linhua Jiang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Learning Progressive Joint Propagation for Human Motion Prediction.

Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat-Thalmann

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Design of a Flexible Articulated Robotic Hand for a Humanoid Robot.

Li Tian, Jing Liu, Nadia Magnenat-Thalmann, Daniel Thalmann, Jianmin Zheng

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019