Yang Liu
Orcid: 0000-0002-1312-0146Affiliations:
- Fudan University, Academy for Engineering and Technology, Shanghai, China
According to our database1,
Yang Liu
authored at least 55 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Rethinking prediction-based video anomaly detection from local-global normality perspective.
Expert Syst. Appl., 2025
2024
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models.
ACM Comput. Surv., July, 2024
AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System.
IEEE Trans. Ind. Informatics, February, 2024
Silent EEG classification using cross-fusion adaptive graph convolution network for multilingual neurolinguistic signal decoding.
Biomed. Signal Process. Control., January, 2024
Decoding Silent Reading EEG Signals Using Adaptive Feature Graph Convolutional Network.
IEEE Signal Process. Lett., 2024
DiffSkill: Improving Reinforcement Learning through diffusion-based skill denoiser for robotic manipulation.
Knowl. Based Syst., 2024
Knowl. Based Syst., 2024
Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system.
Expert Syst. Appl., 2024
Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations.
CoRR, 2024
Comput. Commun., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Stochastic video normality network for abnormal event detection in surveillance videos.
Knowl. Based Syst., November, 2023
Distributional and spatial-temporal robust representation learning for transportation activity recognition.
Pattern Recognit., August, 2023
A novel cell contour-based instance segmentation model and its applications in HER2 breast cancer discrimination.
Biomed. Signal Process. Control., August, 2023
DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion.
Appl. Intell., August, 2023
Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences.
Knowl. Based Syst., April, 2023
Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data.
IEEE Signal Process. Lett., 2023
OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection.
IEEE Signal Process. Lett., 2023
IEEE Signal Process. Lett., 2023
A High-Reliability Edge-Side Mobile Terminal Shared Computing Architecture Based on Task Triple-Stage Full-Cycle Monitoring.
IEEE Internet Things J., 2023
Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection.
CoRR, 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models.
CoRR, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023
Surrogate-Assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Adaptive Weighted Losses With Distribution Approximation for Efficient Consistency-Based Semi-Supervised Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022
Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
IEEE Signal Process. Lett., 2022
IEEE Signal Process. Lett., 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Anatomy-guided Multi-View Fusion Framework for Abdominal CT Multi-Organ Segmentation.
Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022
Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022
Re-synthesis Anomaly Detection Framework for Driving Scenes Guided by Uncertain Metrics.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022
Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022
Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Local filter-based sequential and distributed fusion state estimation for nonlinear multi-sensor systems with asynchronously correlated noises.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly.
Proceedings of the Neural Information Processing - 28th International Conference, 2021