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Jing Liu 0050
Person information
- affiliation: Fudan University, Academy for Engineering and Technology, Shanghai, China
Other persons with the same name
- Jing Liu — disambiguation page
- Jing Liu 0001 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Jing Liu 0002 — Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
- Jing Liu 0003 — Inner Mongolia University, College of Computer Science, Hohhot, China (and 1 more)
- Jing Liu 0004 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
- Jing Liu 0005 — Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, China (and 1 more)
- Jing Liu 0006 — Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China (and 3 more)
- Jing Liu 0007 — Xi'an University of Technology, Faculty of Computer Science and Engineering, China
- Jing Liu 0008 — TU Dortmund University, Robotics Research Institute, Germany
- Jing Liu 0009 — University of California, San Diego, Department of Electrical and Computer Engineering, CA, USA
- Jing Liu 0010 — Nankai University, Nankai-Baidu Joint Laboratory, College of IT, Tianjin, China
- Jing Liu 0011 — Xi'an JiaoTong University, School of Electronics and Information Engineering, China (and 1 more)
- Jing Liu 0012 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
- Jing Liu 0013 — Peking University, School of Software and Microelectronics / School of Electronics Engineering and Computer Science, Beijing, China
- Jing Liu 0014 — Tsinghua University, School of Medicine, Department of Biomedical Engineering, Beijing, China
- Jing Liu 0015 — Beijing University of Posts and Telecommunications, School of Information and Communications Engineering, China
- Jing Liu 0016 — Chinese University of Hong Kong, Future Network of Intelligence Institute, Shenzhen, China (and 1 more)
- Jing Liu 0017 — Donghua University, School of Information Science and Technology, Shanghai, China
- Jing Liu 0018 — Xi'an University of Posts and Telecommunications, School of Electronic Engineering, Xi'an, China (and 1 more)
- Jing Liu 0019 — Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Jing Liu 0020 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Jing Liu 0021 — University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands (and 1 more)
- Jing Liu 0022 — Baidu Inc., Beijing, China (and 2 more)
- Jing Liu 0023 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Jing Liu 0024 — George Mason University, Fairfax, VA, USA (and 1 more)
- Jing Liu 0025 — Southern Yangtze University, School of Information Technology, Wuxi, China
- Jing Liu 0026 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada (and 1 more)
- Jing Liu 0027 — University of Alabama, Department of Computer Science, Tuscaloosa, AL, USA
- Jing Liu 0028 — Beijing University of Technology, College of Computer Science, China
- Jing Liu 0029 — University of New South Wales, School of Engineering and Information Technology, Canberra, Australia (and 1 more)
- Jing Liu 0030 — Capital Normal University, Department of Educational Technology, Beijing, China
- Jing Liu 0031 — East China Normal University, Multimedia and Computer Vision Lab, Shanghai, China
- Jing Liu 0032 — Wuhan University of Science and Technology, College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Jing Liu 0033 — Wuhan University, School of Computer / State Key Laboratory of Software Engineering, China
- Jing Liu 0034 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Jing Liu 0035 — Chinese Academy of Sciences, Institute of Microelectronics, Laboratory of Microelectronics Devices and Integrated Technology, Beijing, China
- Jing Liu 0036 — Zhengzhou Information Science and Technology Institute, China
- Jing Liu 0037 — University of Copenhagen, Department of Food Science, Denmark
- Jing Liu 0038 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Jing Liu 0039 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute of Brain Research / Center for Collaboration and Innovation in Brain and Learning Sciences, China
- Jing Liu 0040 — Jilin University, MoE Key Laboratory of Bionic Engineering, Changchun, China
- Jing Liu 0041 — Hainan University, School of Information and Communication Engineering / State Key Laboratory of Marine Resource Utilization in the South China Sea, Haikou, China (and 1 more)
- Jing Liu 0042 — Tianjin University, School of Precision Instruments and Opto-Electronic Engineering, China
- Jing Liu 0043 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Jing Liu 0044 — Zhejiang University School of Medicine, Second Affiliated Hospital, Hangzhou, China
- Jing Liu 0045 — Soochow University, School of Electronic and Information Engineering, Suzhou, China
- Jing Liu 0046 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 1 more)
- Jing Liu 0047 — Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection / Beijing Key Laboratory of Computational Intelligence and Intelligent System / Beijing Artificial Intelligence Institute, China
- Jing Liu 0048 — Monash University Clayton Campus, Faculty of Information Technology, VIC, Australia (and 1 more)
- Jing Liu-Zeng (aka: Jing Liu 0049) — Tianjin University, Institute of Surface-Earth System Science, School of Earth System Science, China (and 1 more)
- Jing Liu 0051 — Xi'an University of Technology, Department of Electronic Engineering, China
- Jing Liu 0052 — Uppsala University, Sweden
- Jing Liu 0053 — University of California, Santa Cruz, USA
- Jing Liu 0054 — Chinese Academy of Sciences, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Beijing, China
2020 – today
- 2025
- [j15]Mengyang Zhao, Xinhua Zeng, Yang Liu, Jing Liu, Chengxin Pang:
Rethinking prediction-based video anomaly detection from local-global normality perspective. Expert Syst. Appl. 262: 125581 (2025) - 2024
- [j14]Zhiyuan Ning, Zile Wang, Yang Liu, Jing Liu, Liang Song:
Memory-enhanced appearance-motion consistency framework for video anomaly detection. Comput. Commun. 216: 159-167 (2024) - [j13]Yang Liu, Dingkang Yang, Yan Wang, Jing Liu, Jun Liu, Azzedine Boukerche, Peng Sun, Liang Song:
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models. ACM Comput. Surv. 56(7): 189:1-189:38 (2024) - [j12]Yang Liu, Bobo Ju, Dingkang Yang, Liyuan Peng, Di Li, Peng Sun, Chengfang Li, Hao Yang, Jing Liu, Liang Song:
Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system. Expert Syst. Appl. 250: 123718 (2024) - [j11]Chengfang Li, Gaoyun Fang, Yang Liu, Jing Liu, Liang Song:
Decoding Silent Reading EEG Signals Using Adaptive Feature Graph Convolutional Network. IEEE Signal Process. Lett. 31: 1-5 (2024) - [j10]Yang Liu, Jing Liu, Kun Yang, Bobo Ju, Siao Liu, Yuzheng Wang, Dingkang Yang, Peng Sun, Liang Song:
AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System. IEEE Trans. Ind. Informatics 20(2): 2843-2855 (2024) - [j9]Yan Wang, Shaoqi Yan, Wei Song, Antonio Liotta, Jing Liu, Dingkang Yang, Shuyong Gao, Wenqiang Zhang:
MGR3Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots. IEEE Trans. Ind. Informatics 20(5): 7216-7226 (2024) - [c19]Weilong Lin, Xinhua Zeng, Chengxin Pang, Jing Teng, Jing Liu:
DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction. ICRA 2024: 16662-16668 - [i10]Yan Wang, Shaoqi Yan, Yang Liu, Wei Song, Jing Liu, Yang Chang, Xinji Mai, Xiping Hu, Wenqiang Zhang, Zhongxue Gan:
A Survey on Facial Expression Recognition of Static and Dynamic Emotions. CoRR abs/2408.15777 (2024) - 2023
- [j8]Jing Liu, Yang Liu, Di Li, Hanqi Wang, Xiaohong Huang, Liang Song:
DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion. Appl. Intell. 53(16): 19237-19254 (2023) - [j7]Yang Liu, Dingkang Yang, Gaoyun Fang, Yuzheng Wang, Donglai Wei, Mengyang Zhao, Kai Cheng, Jing Liu, Liang Song:
Stochastic video normality network for abnormal event detection in surveillance videos. Knowl. Based Syst. 280: 110986 (2023) - [j6]Jing Liu, Yang Liu, Wei Zhu, Xiaoguang Zhu, Liang Song:
Distributional and spatial-temporal robust representation learning for transportation activity recognition. Pattern Recognit. 140: 109568 (2023) - [j5]Yang Liu, Zhengliang Guo, Jing Liu, Chengfang Li, Liang Song:
OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection. IEEE Signal Process. Lett. 30: 359-363 (2023) - [j4]Xiaowei Xiang, Yang Liu, Gaoyun Fang, Jing Liu, Mengyang Zhao:
Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data. IEEE Signal Process. Lett. 30: 698-702 (2023) - [c18]Yifan Li, Jing Liu, Yang Liu:
Surrogate-Assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies. CEC 2023: 1-9 - [c17]Yang Liu, Di Li, Wei Zhu, Dingkang Yang, Jing Liu, Liang Song:
MSN-net: Multi-Scale Normality Network for Video Anomaly Detection. ICASSP 2023: 1-5 - [c16]Kun Yang, Jing Liu, Dingkang Yang, Hanqi Wang, Peng Sun, Yanni Zhang, Yan Liu, Liang Song:
A Novel Efficient Multi-View Traffic-Related Object Detection Framework. ICASSP 2023: 1-5 - [c15]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:
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception. ICCV 2023: 20402-20413 - [c14]Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song:
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception. ICCV 2023: 23326-23335 - [c13]Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang, Siao Liu, Bobo Ju, Gaoyun Fang, Jing Liu, Liang Song:
Learning Causality-inspired Representation Consistency for Video Anomaly Detection. ACM Multimedia 2023: 203-212 - [c12]Dingkang Yang, Kun Yang, Yuzheng Wang, Jing Liu, Zhi Xu, Rongbin Yin, Peng Zhai, Lihua Zhang:
How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception. NeurIPS 2023 - [i9]Yang Liu, Dingkang Yang, Yan Wang, Jing Liu, Liang Song:
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models. CoRR abs/2302.05087 (2023) - [i8]Kun Yang, Jing Liu, Dingkang Yang, Hanqi Wang, Peng Sun, Yanni Zhang, Yan Liu, Liang Song:
A novel efficient Multi-view traffic-related object detection framework. CoRR abs/2302.11810 (2023) - [i7]Donglai Wei, Sipeng Zhang, Tong Yang, Jing Liu:
Calibrating Cross-modal Feature for Text-Based Person Searching. CoRR abs/2304.02278 (2023) - [i6]Kai Cheng, Xinhua Zeng, Yang Liu, Tian Wang, Chengxin Pang, Jing Teng, Zhaoyang Xia, Jing Liu:
Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection. CoRR abs/2305.07328 (2023) - [i5]Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song:
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception. CoRR abs/2307.13929 (2023) - [i4]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:
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception. CoRR abs/2307.13933 (2023) - [i3]Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang, Siao Liu, Bobo Ju, Gaoyun Fang, Jing Liu, Liang Song:
Learning Causality-inspired Representation Consistency for Video Anomaly Detection. CoRR abs/2308.01537 (2023) - 2022
- [j3]Donglai Wei, Yang Liu, Xiaoguang Zhu, Jing Liu, Xinhua Zeng:
MSAF: Multimodal Supervise-Attention Enhanced Fusion for Video Anomaly Detection. IEEE Signal Process. Lett. 29: 2178-2182 (2022) - [j2]Yang Liu, Jing Liu, Jieyu Lin, Mengyang Zhao, Liang Song:
Appearance-Motion United Auto-Encoder Framework for Video Anomaly Detection. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2498-2502 (2022) - [j1]Yang Liu, Jing Liu, Mengyang Zhao, Shuang Li, Liang Song:
Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2508-2512 (2022) - [c11]Donglai Wei, Chen-Geng Liu, Yang Liu, Jing Liu, Xiao-Guang Zhu, Xinhua Zeng:
Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection. ICASSP 2022: 1980-1984 - [c10]Yang Liu, Jing Liu, Xiaoguang Zhu, Donglai Wei, Xiaohong Huang, Liang Song:
Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention. ICASSP 2022: 2190-2194 - [c9]Yang Liu, Jing Liu, Mengyang Zhao, Dingkang Yang, Xiaoguang Zhu, Liang Song:
Learning Appearance-Motion Normality for Video Anomaly Detection. ICME 2022: 1-6 - [c8]Gaoyun Fang, Yang Liu, Jing Liu, Liang Song:
MAR2MIX: A Novel Model for Dynamic Problem in Multi-agent Reinforcement Learning. ICONIP (4) 2022: 671-682 - [c7]Mengyang Zhao, Yang Liu, Jing Liu, Xinhua Zeng:
Exploiting Spatial-temporal Correlations for Video Anomaly Detection. ICPR 2022: 1727-1733 - [c6]Yang Liu, Jing Liu, Wei Ni, Liang Song:
Abnormal Event Detection with Self-guiding Multi-instance Ranking Framework. IJCNN 2022: 1-7 - [c5]Jing Liu, Yang Liu, Chengwen Tian, Mengyang Zhao, Xinhua Zeng, Liang Song:
Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition. ISCAS 2022: 2609-2613 - [c4]Jing Liu, Yang Liu, Donglai Wei, Wei Ni, Xinhua Zeng, Liang Song:
Attention-Based Auto-Encoder Framework for Abnormal Driving Detection. ISCAS 2022: 3150-3154 - [i2]Yang Liu, Jing Liu, Mengyang Zhao, Dingkang Yang, Xiaoguang Zhu, Liang Song:
Learning Appearance-motion Normality for Video Anomaly Detection. CoRR abs/2207.13361 (2022) - [i1]Mengyang Zhao, Xinhua Zeng, Jing Liu, Di Li, Chengxin Pang, Yang Liu:
LGN-Net: Local-Global Normality Network for Video Anomaly Detection. CoRR abs/2211.07454 (2022) - 2021
- [c3]Hanqi Wang, Xing Hu, Liang Song, Guanhua Zhang, Yang Liu, Jing Liu, Linhua Jiang:
Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. ICONIP (1) 2021: 103-115 - 2020
- [c2]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:
Learning Progressive Joint Propagation for Human Motion Prediction. ECCV (7) 2020: 226-242
2010 – 2019
- 2019
- [c1]Li Tian, Jing Liu, Nadia Magnenat-Thalmann, Daniel Thalmann, Jianmin Zheng:
Design of a Flexible Articulated Robotic Hand for a Humanoid Robot. Humanoids 2019: 572-577
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