Yang Liu

According to our database, Yang Liu authored at least 71 papers between 2021 and 2025.

Collaborative distances:

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

2025

Networking Systems for Video Anomaly Detection: A Tutorial and Survey.

Jing Liu, Yang Liu, Jieyu Lin, Jielin Li, Liang Cao, Peng Sun, Bo Hu, Liang Song, Azzedine Boukerche, Victor C. M. Leung

ACM Comput. Surv., October, 2025

eMotions: A Large-Scale Dataset and Audio-Visual Fusion Network for Emotion Analysis in Short-form Videos.

Xuecheng Wu, Dingkang Yang, Danlei Huang, Xinyi Yin, Yifan Wang, Jia Zhang, Jiayu Nie, Liangyu Fu, Yang Liu, Junxiao Xue, Hadi Amirpour, Wei Zhou

CoRR, August, 2025

Anomaly Detection and Generation with Diffusion Models: A Survey.

Yang Liu, Jing Liu, Chengfang Li, Rui Xi, Wenchao Li, Liang Cao, Jin Wang, Laurence T. Yang, Junsong Yuan, Wei Zhou

CoRR, June, 2025

Cross-channel Perception Learning for H&E-to-IHC Virtual Staining.

Hao Yang, Jianyu Wu, Run Fang, Xuelian Zhao, Yuan Ji, Zhiyu Chen, Guibin He, Junceng Guo, Yang Liu, Xinhua Zeng

CoRR, June, 2025

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding.

Yue Jiang, Jichu Li, Yang Liu, Dingkang Yang, Feng Zhou, Quyu Kong

CoRR, May, 2025

PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks.

Jianyu Wu, Hao Yang, Xinhua Zeng, Guibing He, Zhiyu Chen, Zihui Li, Xiaochuan Zhang, Yangyang Ma, Run Fang, Yang Liu

CoRR, April, 2025

A Survey on Diffusion Models for Anomaly Detection.

Jing Liu, Zhenchao Ma, Zepu Wang, Yang Liu, Zehua Wang, Peng Sun, Liang Song, Bo Hu, Azzedine Boukerche, Victor C. M. Leung

CoRR, January, 2025

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos.

Yang Liu, Hongjin Wang, Zepu Wang, Xiaoguang Zhu, Jing Liu, Peng Sun, Rui Tang, Jianwei Du, Victor C. M. Leung, Liang Song

IEEE Trans. Image Process., 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

CNN-DAG-Editor: A Convolutional Neural Network offloading analyzer with Multi-Objective Dynamic Adaptive Resource Competitive Swarm Optimization.

Bobo Ju, Yang Liu, Jing Liu, Peng Sun, Liang Song

Comput. Networks, 2025

Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations.

Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang, Haoran Yang, Yumeng Zhang, Shan Huang, Yiran Wei, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks.

Zepu Wang, Xiaobo Ma, Huajie Yang, Weimin Lyu, Yang Liu, Peng Sun, Sharath Chandra Guntuku

Proceedings of the 2025 IEEE International Conference on Acoustics, 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

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

Silent EEG classification using cross-fusion adaptive graph convolution network for multilingual neurolinguistic signal decoding.

Chengfang Li, Hanqi Wang, Yang Liu, Xiaoguang Zhu, Liang Song

Biomed. Signal Process. Control., January, 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

DiffSkill: Improving Reinforcement Learning through diffusion-based skill denoiser for robotic manipulation.

Siao Liu, Yang Liu, Linqiang Hu, Ziqing Zhou, Yi Xie, Zhile Zhao, Wei Li, Zhongxue Gan

Knowl. Based Syst., 2024

Normality learning reinforcement for anomaly detection in surveillance videos.

Kai Cheng, Xinhua Zeng, Yang Liu, Yaning Pan, Xinzhe Li

Knowl. Based Syst., 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

STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection.

Zhangxun Li, Mengyang Zhao, Xuan Yang, Yang Liu, Jiamu Sheng, Xinhua Zeng, Tian Wang, Kewei Wu, Yu-Gang Jiang

CoRR, 2024

Privacy-Preserving Video Anomaly Detection: A Survey.

Jing Liu, Yang Liu, Xiaoguang Zhu

CoRR, 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

Networking Systems for Video Anomaly Detection: A Tutorial and Survey.

Jing Liu, Yang Liu, Jieyu Lin, Jielin Li, Peng Sun, Bo Hu, Liang Song, Azzedine Boukerche, Victor C. M. Leung

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

End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce.

Liangyu Teng, Yang Liu, Jing Liu, Liang Song

Proceedings of the 10th IEEE World Forum on Internet of Things, 2024

Open Service for Networking Systems of AI: A Case Study in Adaptation Optimization.

Bobo Ju, Kun Yang, Yang Liu, Jing Liu, Peng Sun, Wei Ni, Liang Song

Proceedings of the 10th IEEE World Forum on Internet of Things, 2024

Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning.

Mingcheng Li, Dingkang Yang, Yang Liu, Shunli Wang, Jiawei Chen, Shuaibing Wang, Jinjie Wei, Yue Jiang, Qingyao Xu, Xiaolu Hou, Mingyang Sun, Ziyun Qian, Dongliang Kou, Lihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sampling to Distill: Knowledge Transfer from Open-World Data.

Yuzheng Wang, Zhaoyu Chen, Jie Zhang, Dingkang Yang, Zuhao Ge, Yang Liu, Siao Liu, Yunquan Sun, Wenqiang Zhang, Lizhe Qi

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.

Kai Cheng, Yaning Pan, Yang Liu, Xinhua Zeng, Rui Feng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Multimodal Sentiment Analysis Debiasing via Bias Purification.

Dingkang Yang, Mingcheng Li, Dongling Xiao, Yang Liu, Kun Yang, Zhaoyu Chen, Yuzheng Wang, Peng Zhai, Ke Li, Lihua Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

De-Confounded Data-Free Knowledge Distillation for Handling Distribution Shifts.

Yuzheng Wang, Dingkang Yang, Zhaoyu Chen, Yang Liu, Siao Liu, Wenqiang Zhang, Lihua Zhang, Lizhe Qi

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.

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

A novel cell contour-based instance segmentation model and its applications in HER2 breast cancer discrimination.

Bobo Ju, Yang Liu, Xing Hu, Dongfang Zhao, Linhua Jiang

Biomed. Signal Process. Control., 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

Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences.

Dingkang Yang, Yang Liu, Can Huang, Mingcheng Li, Xiao Zhao, Yuzheng Wang, Kun Yang, Yan Wang, Peng Zhai, Lihua Zhang

Knowl. Based Syst., April, 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

Learning Graph Enhanced Spatial-Temporal Coherence for Video Anomaly Detection.

Kai Cheng, Yang Liu, Xinhua Zeng

IEEE Signal Process. Lett., 2023

A High-Reliability Edge-Side Mobile Terminal Shared Computing Architecture Based on Task Triple-Stage Full-Cycle Monitoring.

Bobo Ju, Yang Liu, Liang Song, Guixiang Gan, Zengwen Li, Linhua Jiang

IEEE Internet Things J., 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

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

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

CoRR, 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

Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation.

Siao Liu, Zhaoyu Chen, Yang Liu, Yuzheng Wang, Dingkang Yang, Zhile Zhao, Ziqing Zhou, Xie Yi, Wei Li, Wenqiang Zhang, Zhongxue Gan

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

Adversarial Contrastive Distillation with Adaptive Denoising.

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang, Yang Liu, Siao Liu, Wenqiang Zhang, Lizhe Qi

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

Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection.

Kai Cheng, Xinhua Zeng, Yang Liu, Mengyang Zhao, Chengxin Pang, Xing Hu

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

Adaptive Weighted Losses With Distribution Approximation for Efficient Consistency-Based Semi-Supervised Learning.

Di Li, Yang Liu, Liang Song

IEEE Trans. Circuits Syst. Video Technol., 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

Contextual and Cross-Modal Interaction for Multi-Modal Speech Emotion Recognition.

Dingkang Yang, Shuai Huang, Yang Liu, Lihua Zhang

IEEE Signal Process. Lett., 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

Exploiting Spatial-temporal Correlations for Video Anomaly Detection.

Mengyang Zhao, Yang Liu, Jing Li, Xinhua Zeng

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

Anatomy-guided Multi-View Fusion Framework for Abdominal CT Multi-Organ Segmentation.

Zhongwei Yang, Haopeng Kuang, Xukun Zhang, Yang Liu, Peng Zhai, Lubin Chen, Lihua Zhang

Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022

SU-UNet: A Novel Self-Updating Network for Hepatic Vessel Segmentation in CT Images.

Yang Liu, Xukun Zhang, Haopeng Kuang, Zhongwei Yang, Shichao Yan, Peng Zhai, Lihua Zhang

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.

Shichao Yan, Lubin Chen, Chunyu Wang, Yang Liu, Peng Zhai, Lihua Zhang

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.

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

Emotion Recognition for Multiple Context Awareness.

Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, Lihua Zhang

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.

Kun Yang, Yao Zhang, Yang Liu, Jun-Tao Liu, Kai Zhao

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.

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

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