Space-Time Registration for Physical-Cyber World Mapping in Internet of Things. - Huansheng Ning; Wei He; Sha Hu; Binghui Wang (CIT, 2012)

Graph regularized non-negative matrix factorization with sparse coding. - Binghui Wang; Meng Pang; Chuang Lin 001; Xin Fan 001 (ChinaSIP, 2013)

Neighbourhood sensitive preserving embedding for pattern classification. - Binghui Wang; Chuang Lin 001; Xue-Feng Zhao; Zhe-Ming Lu 001 (IET Image Process., 2014)

Hierarchical Bayes based Adaptive Sparsity in Gaussian Mixture Model. - Binghui Wang; Chuang Lin 001; Xin Fan 001; Ning Jiang 001; Dario Farina (Pattern Recognit. Lett., 2014)

Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis. - Binghui Wang; Risheng Liu; Chuang Lin 001; Xin Fan 001 (ICDM Workshops, 2015)

Discriminant Manifold Learning via Sparse Coding for Image Analysis. - Meng Pang; Binghui Wang; Xin Fan 001; Chuang Lin 001 (MMM (2), 2016)

Orthogonal enhanced linear discriminant analysis for face recognition. - Chuang Lin 001; Binghui Wang; Xin Fan 001; Yanchun Ma; Huiyun Liu (IET Biom., 2016)

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. - Meng Pang; Yiu-ming Cheung; Binghui Wang; Risheng Liu (CIKM, 2017)

Random Walk Based Fake Account Detection in Online Social Networks. - Jinyuan Jia 001; Binghui Wang; Neil Zhenqiang Gong (DSN, 2017)

GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. - Binghui Wang; Neil Zhenqiang Gong; Hao Fu (ICDM, 2017)

SybilSCAR: Sybil detection in online social networks via local rule based propagation. - Binghui Wang; Le Zhang 006; Neil Zhenqiang Gong (INFOCOM, 2017)

AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. - Jinyuan Jia 001; Binghui Wang; Le Zhang 006; Neil Zhenqiang Gong (WWW, 2017)

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction. - Meng Pang; Binghui Wang; Yiu-Ming Cheung; Chuang Lin 001 (IEEE Access, 2017)

SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. - Peng Gao 008; Binghui Wang; Neil Zhenqiang Gong; Sanjeev R. Kulkarni; Kurt Thomas; Prateek Mittal (CNS, 2018)

SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels. - Binghui Wang; Le Zhang 006; Neil Zhenqiang Gong (RAID, 2018)

Stealing Hyperparameters in Machine Learning. - Binghui Wang; Neil Zhenqiang Gong (IEEE Symposium on Security and Privacy, 2018)

Robust Multi-subspace Analysis Using Novel Column L0-norm Constrained Matrix Factorization. - Binghui Wang; Chuang Lin 001 (CoRR, 2018)

Attacking Graph-based Classification via Manipulating the Graph Structure. - Binghui Wang; Neil Zhenqiang Gong (CCS, 2019)

Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. - Binghui Wang; Jinyuan Jia 001; Neil Zhenqiang Gong (NDSS, 2019)

Robust heterogeneous discriminative analysis for face recognition with single sample per person. - Meng Pang; Yiu-ming Cheung; Binghui Wang; Risheng Liu (Pattern Recognit., 2019)

Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. - Binghui Wang; Jinyuan Jia 001; Le Zhang 006; Neil Zhenqiang Gong (IEEE Trans. Netw. Sci. Eng., 2019)

An Intelligent Service Method for Grid Spatio-Temporal Big Data Based on Beidou. - Jianwei Zhao; Guangjun Zhao; Biao Pan; Meng Zhou; Lei Song; Binghui Wang; Jie Zhang (ICITEE, 2020)

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. - Jinyuan Jia 001; Xiaoyu Cao; Binghui Wang; Neil Zhenqiang Gong (ICLR, 2020)

State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective. - Luke Myers; Binghui Wang; Neil Zhenqiang Gong; Daji Qiao (ISGT, 2020)

Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. - Nathan Inkawhich; Kevin J. Liang; Binghui Wang; Matthew Inkawhich; Lawrence Carin; Yiran Chen 001 (NeurIPS, 2020)

Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. - Jinyuan Jia 001; Binghui Wang; Xiaoyu Cao; Neil Zhenqiang Gong (WWW, 2020)

On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. - Binghui Wang; Xiaoyu Cao; Jinyuan Jia 001; Neil Zhenqiang Gong (CoRR, 2020)

LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. - Ang Li 005; Jingwei Sun 002; Binghui Wang; Lin Duan; Sicheng Li 001; Yiran Chen 001; Hai Li 001 (CoRR, 2020)

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. - Houxiang Fan; Binghui Wang; Pan Zhou 001; Ang Li 005; Meng Pang; Zichuan Xu; Cai Fu; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

Evasion Attacks to Graph Neural Networks via Influence Function. - Binghui Wang; Tianxiang Zhou; Minhua Lin; Pan Zhou 001; Ang Li 005; Meng Pang; Cai Fu; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. - Binghui Wang; Ang Li 005; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. - Jingwei Sun 002; Ang Li 005; Binghui Wang; Huanrui Yang; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. - Meng Pang; Yiu-Ming Cheung; Binghui Wang; Jian Lou 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. - Binghui Wang; Jinyuan Jia 001; Neil Zhenqiang Gong (AAAI, 2021)

On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. - Zijie Yang; Binghui Wang; Haoran Li; Dong Yuan 006; Zhuotao Liu; Neil Zhenqiang Gong; Chang Liu 021; Qi Li 002; Xiao Liang; Shaofeng Hu (ACSAC, 2021)

Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. - Jinyuan Jia 001; Binghui Wang; Neil Zhenqiang Gong (AsiaCCS, 2021)

A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. - Jiaming Mu; Binghui Wang; Qi Li 002; Kun Sun 001; Mingwei Xu; Zhuotao Liu (CCS, 2021)

Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. - Jingwei Sun 002; Ang Li 005; Binghui Wang; Huanrui Yang; Hai Li 001; Yiran Chen 001 (CVPR, 2021)

Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. - Houxiang Fan; Binghui Wang; Pan Zhou 001; Ang Li 005; Zichuan Xu; Cai Fu; Hai Li 001; Yiran Chen 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Disentangling Prototype and Variation for Single Sample Face Recognition. - Meng Pang; Binghui Wang; Mang Ye; Yiran Chen 001; Bihan Wen (ICME, 2021)

LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. - Ang Li 005; Jingwei Sun 002; Binghui Wang; Lin Duan; Sicheng Li 001; Yiran Chen 001; Hai Li 001 (SEC, 2021)

A 3-6GHz 5-to-512 Multiplier Adaptive Fast-Locking Self-Biased PLL in 28nm CMOS. - Binghui Wang; Haigang Yang; Yiping Jia (ISCAS, 2021)

Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. - Xiao Liang; Zheng Yang; Binghui Wang; Shaofeng Hu; Zijie Yang; Dong Yuan 006; Neil Zhenqiang Gong; Qi Li 002; Fang He (KDD, 2021)

Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. - Binghui Wang; Jiayi Guo; Ang Li 005; Yiran Chen 001; Hai Li 001 (KDD, 2021)

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. - Binghui Wang; Jinyuan Jia 001; Xiaoyu Cao; Neil Zhenqiang Gong (KDD, 2021)

Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. - Qiming Wu; Zhikang Zou; Pan Zhou 001; Xiaoqing Ye; Binghui Wang; Ang Li 005 (ACM Multimedia, 2021)

Backdoor Attacks to Graph Neural Networks. - Zaixi Zhang; Jinyuan Jia 001; Binghui Wang; Neil Zhenqiang Gong (SACMAT, 2021)

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. - Bingbing Li; Hongwu Peng; Rajat Sainju; Junhuan Yang; Lei Yang 018; Yueying Liang; Weiwen Jiang; Binghui Wang; Hang Liu 001; Caiwen Ding (CoRR, 2021)

VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. - Meng Pang; Binghui Wang; Yiu-ming Cheung; Yiran Chen 001; Bihan Wen (IEEE Trans. Inf. Forensics Secur., 2021)

Joint Traffic Control and Multi-Channel Reassignment for Core Backbone Network in SDN-IoT: A Multi-Agent Deep Reinforcement Learning Approach. - Tong Wu; Pan Zhou 001; Binghui Wang; Ang Li 005; Xueming Tang; Zichuan Xu; Kai Chen; Xiaofeng Ding 001 (IEEE Trans. Netw. Sci. Eng., 2021)

NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. - Nuo Xu; Binghui Wang; Ran Ran; Wujie Wen; Parv Venkitasubramaniam (ACSAC, 2022)

GraphTrack: A Graph-based Cross-Device Tracking Framework. - Binghui Wang; Tianchen Zhou; Song Li 006; Yinzhi Cao; Neil Zhenqiang Gong (AsiaCCS, 2022)

Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. - Meng Pang; Binghui Wang; Shengbo Chen; Yiu-ming Cheung; Rong Zou; Wei Huang 013 (CIKM, 2022)

Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. - Binghui Wang; Youqi Li; Pan Zhou 001 (CVPR, 2022)

UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. - Hanbin Hong; Binghui Wang; Yuan Hong 001 (ECCV (5), 2022)

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. - Binghui Wang; Ang Li 005; Meng Pang; Hai Li 001; Yiran Chen 001 (ICDM, 2022)

Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. - Jinyuan Jia 001; Binghui Wang; Xiaoyu Cao; Hongbin Liu 005; Neil Zhenqiang Gong (ICLR, 2022)

Variance of the Gradient Also Matters: Privacy Leakage from Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Chao Shang; Binghui Wang; Qin Cao; Caiwen Ding; Sanguthevar Rajasekaran (IJCNN, 2022)

SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing. - Haiyang Luo; Zhe Sun; Yunqing Sun; Ang Li 005; Binghui Wang; Jin Cao 001; Ben Niu 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. - Meng Pang; Binghui Wang; Siyu Huang; Yiu-Ming Cheung; Bihan Wen (IEEE Trans. Inf. Forensics Secur., 2022)

Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks. - Binghui Wang; Meng Pang; Yun Dong (CVPR, 2023)

IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients. - Ruo Yang; Binghui Wang; Mustafa Bilgic 001 (CVPR, 2023)

A Certified Radius-Guided Attack Framework to Image Segmentation Models. - Wenjie Qu 001; Youqi Li; Binghui Wang (EuroS&P, 2023)

M-Net: A Lightweight Network Based on Multilayer Perceptron for Massive MIMO CSI Feedback. - Yaxin Yu; Yinglei Teng; Binghui Wang; An Liu 001; Vincent Lau 001 (GLOBECOM (Workshops), 2023)

Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. - Likun Zhang; Yahong Chen; Ang Li 005; Binghui Wang; Yiran Chen 001; Fenghua Li; Jin Cao 001; Ben Niu 001 (WACV, 2023)

DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. - Meng Pang; Binghui Wang; Mang Ye; Yiu-ming Cheung; Yiran Chen 001; Bihan Wen (IEEE Trans. Neural Networks Learn. Syst., 2023)

CCA-Net: A Lightweight Network Using Criss-Cross Attention for CSI Feedback. - Binghui Wang; Yinglei Teng; Vincent K. N. Lau; Zhu Han 001 (IEEE Commun. Lett., 2023)

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. - Caridad Arroyo Arevalo; Sayedeh Leila Noorbakhsh; Yun Dong; Yuan Hong 001; Binghui Wang (AAAI, 2024)

Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence. - Hanbin Hong; Xinyu Zhang 016; Binghui Wang; Zhongjie Ba; Yuan Hong 001 (CCS, 2024)

Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. - Yuxin Yang 003; Qiang Li 008; Jinyuan Jia 001; Yuan Hong 001; Binghui Wang (CCS, 2024)

Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. - Yuxin Yang 003; Qiang Li 008; Chenfei Nie; Yuan Hong 001; Binghui Wang (CIKM, 2024)

Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach. - Ruo Yang; Binghui Wang; Mustafa Bilgic 001 (CIKM, 2024)

Graph Neural Network Causal Explanation via Neural Causal Models. - Arman Behnam; Binghui Wang (ECCV (61), 2024)

Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data. - Yintao Zhou; Meng Pang; Wei Huang 013; Binghui Wang (ICASSP, 2024)

GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations. - Zaishuo Xia; Han Yang; Binghui Wang; Jinyuan Jia 001 (ICLR, 2024)

Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains. - Meng Pang; Binghui Wang; Nanrun Zhou; Yintao Zhou; Wei Huang 013 (ICME, 2024)

Graph Neural Network Explanations are Fragile. - Jiate Li; Meng Pang; Yun Dong; Jinyuan Jia 001; Binghui Wang (ICML, 2024)

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning. - Yuxin Yang 003; Qiang Li 008; Yuan Hong 001; Binghui Wang (NeurIPS, 2024)

DeepTheft: Stealing DNN Model Architectures through Power Side Channel. - Yansong Gao 001; Huming Qiu; Zhi Zhang 001; Binghui Wang; Hua Ma; Alsharif Abuadbba; Minhui Xue 001; Anmin Fu; Surya Nepal (SP, 2024)

Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. - Xinyu Zhang 016; Hanbin Hong; Yuan Hong 001; Peng Huang; Binghui Wang; Zhongjie Ba; Kui Ren 001 (SP, 2024)

Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks. - Sayedeh Leila Noorbakhsh; Binghui Zhang; Yuan Hong 001; Binghui Wang (USENIX Security Symposium, 2024)

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. - Binghui Wang; Minhua Lin; Tianxiang Zhou; Pan Zhou 001; Ang Li 005; Meng Pang; Hai Helen Li; Yiran Chen 001 (WSDM, 2024)

PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models. - Wei Zou; Runpeng Geng; Binghui Wang; Jinyuan Jia 001 (CoRR, 2024)

Securing GNNs: Explanation-Based Identification of Backdoored Training Graphs. - Jane Downer; Ren Wang; Binghui Wang (CoRR, 2024)

Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. - Shuya Feng; Meisam Mohammady; Hanbin Hong; Shenao Yan; Ashish Kundu; Binghui Wang; Yuan Hong 001 (CoRR, 2024)

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning. - Yuxin Yang 003; Qiang Li 008; Chenfei Nie; Yuan Hong 001; Meng Pang; Binghui Wang (CoRR, 2024)

Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning. - Chenfei Nie; Qiang Li 008; Yuxin Yang 003; Yuede Ji; Binghui Wang (CoRR, 2024)

Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective. - Zifan Wang; Binghui Zhang; Meng Pang; Yuan Hong 001; Binghui Wang (CoRR, 2024)

Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method. - Jiate Li; Meng Pang; Binghui Wang (AAAI, 2025)

Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis. - Meng Pang; Houwei Xu; Zheng Huang; Yintao Zhou; Wei Huang 013; Binghui Wang (AAAI, 2025)

Learning Robust and Privacy-Preserving Representations via Information Theory. - Binghui Zhang; Sayedeh Leila Noorbakhsh; Yun Dong; Yuan Hong 001; Binghui Wang (AAAI, 2025)

Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. - Shuya Feng; Meisam Mohammady; Hanbin Hong; Shenao Yan; Ashish Kundu; Binghui Wang; Yuan Hong 001 (CODASPY, 2025)

Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations. - Jiate Li; Meng Pang; Yun Dong; Binghui Wang (CVPR, 2025)

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks. - Jiate Li; Meng Pang; Yun Dong; Jinyuan Jia 001; Binghui Wang (ICLR, 2025)

FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning. - Binghui Zhang; Luis Mares De La Cruz; Binghui Wang (SP (Workshops), 2025)

Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks. - Haiyang Luo; Zhe Sun; Yunqing Sun; Ang Li 005; Binghui Wang; Jin Cao 001; Ben Niu 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Watermarking Graph Neural Networks via Explanations for Ownership Protection. - Jane Downer; Ren Wang; Binghui Wang (CoRR, 2025)

AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification. - Jiate Li; Binghui Wang (CoRR, 2025)

Backdoor Attacks on Discrete Graph Diffusion Models. - Jiawen Wang; Samin Karim; Yuan Hong 001; Binghui Wang (CoRR, 2025)

Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors. - Meng Pang; Binghui Wang; Mang Ye; Yiu-Ming Cheung; Yintao Zhou; Wei Huang 013; Bihan Wen (IEEE Trans. Neural Networks Learn. Syst., 2025)

GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models. - Haozheng Luo; Chenghao Qiu; Yimin Wang; Shang Wu; Jiahao Yu 001; Han Liu 001; Binghui Wang; Yan Chen 004 (CoRR, 2025)

A Secret Sharing-Inspired Robust Distributed Backdoor Attack to Federated Learning. - Yuxin Yang 003; Qiang Li 008; Yuede Ji; Binghui Wang (ACM Trans. Priv. Secur., 2025)

Align and Blend: A Unified Multi-Modal LiDAR Segmentation Network. - Chuanxu Wang; Jiajiong Li; Xin Chen; Da Song; Binghui Wang (IEEE Trans. Intell. Transp. Syst., 2025)

Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. - Nima Naderloui; Shenao Yan; Binghui Wang; Jie Fu 003; Wendy Hui Wang; Weiran Liu; Yuan Hong 001 (CoRR, 2025)

CRissNet: An Efficient and Lightweight Network for CSI Feedback in Massive MIMO Systems. - Binghui Wang; Yinglei Teng; Yangliu Zhao; Yaxin Yu; Vincent K. N. Lau (IEEE Trans. Cogn. Commun. Netw., 2025)

VeFIA: An Efficient Inference Auditing Framework for Vertical Federated Collaborative Software. - Chung-ju Huang; Ziqi Zhang; Yinggui Wang; Binghui Wang; Tao Wei 002; Leye Wang (CoRR, 2025)

Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion Models. - Haoran Dai; Jiawen Wang; Ruo Yang; Manali Sharma; Zhonghao Liao; Yuan Hong; Binghui Wang (CoRR, 2025)

Self-supervised learning video anomaly detection based on time interval prediction and noise classification. - Yishuo Liu; Chuanxu Wang; Qingyang Yang; Lanxiao Li; Binghui Wang (Pattern Recognit., 2026)