Ensemble One-Class Extreme Learning Machine Based on Overlapping Data Partition. - Siqi Wang 001; Lili Zhao; En Zhu; Jianping Yin; Heling Yang (ICCSIP, 2016)

Anomaly detection in crowded scenes by SL-HOF descriptor and foreground classification. - Siqi Wang 001; En Zhu; Jianping Yin; Fatih Porikli (ICPR, 2016)

Video anomaly detection based on ULGP-OF descriptor and one-class ELM. - Siqi Wang 001; En Zhu; Jianping Yin (IJCNN, 2016)

Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF. - Lili Zhao; Kuan Li; Mao Wang; Jianping Yin; En Zhu; Chengkun Wu; Siqi Wang 001; Chengzhang Zhu (Comput. Biol. Medicine, 2016)

Random Fourier extreme learning machine with ℓ2, 1-norm regularization. - Sihang Zhou 001; Xinwang Liu 002; Qiang Liu 004; Siqi Wang 001; Chengzhang Zhu; Jianping Yin (Neurocomputing, 2016)

Complete three-phase detection framework for identifying abnormal cervical cells. - Lili Zhao; Kuan Li; Jianping Yin; Qiang Liu 004; Siqi Wang 001 (IET Image Process., 2017)

MST-GEN: An Efficient Parameter Selection Method for One-Class Extreme Learning Machine. - Siqi Wang 001; Qiang Liu 004; En Zhu; Jianping Yin; Wentao Zhao (IEEE Trans. Cybern., 2017)

Chronic Poisoning against Machine Learning Based IDSs Using Edge Pattern Detection. - Pan Li 006; Qiang Liu 004; Wentao Zhao; Dongxu Wang; Siqi Wang 001 (ICC, 2018)

Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification. - Jichao Chen; Yijie Zeng; Siqi Wang 001; Soh Ling Min; Guang-Bin Huang (IJCNN, 2018)

Detecting Abnormality without Knowing Normality: A Two-stage Approach for Unsupervised Video Abnormal Event Detection. - Siqi Wang 001; Yijie Zeng; Qiang Liu 004; Chengzhang Zhu; En Zhu; Jianping Yin (ACM Multimedia, 2018)

BEBP: An Poisoning Method Against Machine Learning Based IDSs. - Pan Li 006; Qiang Liu 004; Wentao Zhao; Dongxu Wang; Siqi Wang 001 (CoRR, 2018)

Video anomaly detection and localization by local motion based joint video representation and OCELM. - Siqi Wang 001; En Zhu; Jianping Yin; Fatih Porikli (Neurocomputing, 2018)

Hyperparameter selection of one-class support vector machine by self-adaptive data shifting. - Siqi Wang 001; Qiang Liu 004; En Zhu; Fatih Porikli; Jianping Yin (Pattern Recognit., 2018)

Incremental multiple kernel extreme learning machine and its application in Robo-advisors. - Jingming Xue; Qiang Liu 004; Miaomiao Li 001; Xinwang Liu 002; Yongkai Ye; Siqi Wang 001; Jianping Yin (Soft Comput., 2018)

Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. - Siqi Wang 001; En Zhu; Xiping Hu; Xinwang Liu 002; Qiang Liu 004; Jianping Yin; Fei Wang 001 (AAAI, 2019)

Towards Intelligent Decision Making in Emotion-aware Applications. - Jiaqi Wang; Siqi Wang 001; Yanxiang Guo; Xiping Hu; Xitong Li; Jun Cheng 002 (HICSS, 2019)

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. - Jingtao Hu; En Zhu; Siqi Wang 001; Siwei Wang 001; Xinwang Liu 002; Jianping Yin (IJCNN, 2019)

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network. - Siqi Wang 001; Yijie Zeng; Xinwang Liu 002; En Zhu; Jianping Yin; Chuanfu Xu; Marius Kloft (NeurIPS, 2019)

Fast and unsupervised outlier removal by recurrent adaptive reconstruction extreme learning machine. - Siqi Wang 001; Qiang Liu 004; Xifeng Guo 001; En Zhu; Jianping Yin (Int. J. Mach. Learn. Cybern., 2019)

An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. - Jingtao Hu; En Zhu; Siqi Wang 001; Xinwang Liu 002; Xifeng Guo 001; Jianping Yin (Sensors, 2019)

Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. - Haocong Rao; Siqi Wang 001; Xiping Hu; Mingkui Tan; Huang Da; Jun Cheng 002; Bin Hu 001 (IJCAI, 2020)

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. - Guang Yu; Siqi Wang 001; Zhiping Cai; En Zhu; Chuanfu Xu; Jianping Yin; Marius Kloft (ACM Multimedia, 2020)

Unsupervised Online Anomaly Detection With Parameter Adaptation for KPI Abrupt Changes. - Guang Yu; Zhiping Cai; Siqi Wang 001; Haiwen Chen; Fang Liu 002; Anfeng Liu (IEEE Trans. Netw. Serv. Manag., 2020)

One-pass Multi-view Clustering for Large-scale Data. - Jiyuan Liu 003; Xinwang Liu 002; Yuexiang Yang; Li Liu 002; Siqi Wang 001; Weixuan Liang; Jiangyong Shi (ICCV, 2021)

Self-Representation Subspace Clustering for Incomplete Multi-view Data. - Jiyuan Liu 003; Xinwang Liu 002; Yi Zhang 104; Pei Zhang 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Weixuan Liang; Siqi Wang 001; Yuexiang Yang (ACM Multimedia, 2021)

Unsupervised Outlier Detection via Transformation Invariant Autoencoder. - Zhen Cheng 004; En Zhu; Siqi Wang 001; Pei Zhang 008; Wang Li (IEEE Access, 2021)

Multi-view Deep One-class Classification: A Systematic Exploration. - Siqi Wang 001; Jiyuan Liu 003; Guang Yu; Xinwang Liu 002; Sihang Zhou 001; En Zhu; Yuexiang Yang; Jianping Yin (CoRR, 2021)

Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos. - Siqi Wang 001; Guang Yu; Zhiping Cai; En Zhu; Xinwang Liu 002; Jianping Yin; Chengzhang Zhu (CoRR, 2021)

Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests. - Siqi Wang 001; Guang Yu; Zhiping Cai; Xinwang Liu 002; En Zhu; Jianping Yin; Qing Liao 001 (CoRR, 2021)

Improved autoencoder for unsupervised anomaly detection. - Zhen Cheng 004; Siwei Wang 001; Pei Zhang 008; Siqi Wang 001; Xinwang Liu 002; En Zhu (Int. J. Intell. Syst., 2021)

Facial Expression Recognition Using Frequency Neural Network. - Yan Tang; Xingming Zhang 001; Xiping Hu; Siqi Wang 001; Haoxiang Wang 002 (IEEE Trans. Image Process., 2021)

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement. - Guang Yu; Siqi Wang 001; Zhiping Cai; Xinwang Liu 002; Chuanfu Xu; Chengkun Wu (CVPR, 2022)

Stgat-Mad : Spatial-Temporal Graph Attention Network For Multivariate Time Series Anomaly Detection. - Jun Zhan; Siqi Wang 001; Xiandong Ma; Chengkun Wu; Canqun Yang; Detian Zeng; Shilin Wang (ICASSP, 2022)

Detecting Anomalous Events from Unlabeled Videos via Temporal Masked Auto-Encoding. - Jingtao Hu; Guang Yu; Siqi Wang 001; En Zhu; Zhiping Cai; Xinzhong Zhu (ICME, 2022)

Effective Video Abnormal Event Detection by Learning A Consistency-Aware High-Level Feature Extractor. - Guang Yu; Siqi Wang 001; Zhiping Cai; Xinwang Liu 002; Chengkun Wu (ACM Multimedia, 2022)

FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction. - Donglin Chen; Xiang Gao; Chuanfu Xu; Siqi Wang 001; Shizhao Chen; Jianbin Fang; Zheng Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. - Haocong Rao; Siqi Wang 001; Xiping Hu; Mingkui Tan; Yi Guo 007; Jun Cheng 002; Xinwang Liu 002; Bin Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

DrugProtKGE: Weakly Supervised Knowledge Graph Embedding for Highly-Effective Drug-Protein Interaction Representation. - Yanlong Qiu; Siqi Wang 001; Xi Yang 020; Xinyuan Qiu; Chengkun Wu; Yingbo Cui 001; Canqun Yang (BIBM, 2023)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model. - Yulin He; Wei Chen 009; Yusong Tan; Siqi Wang 001 (CoRR, 2023)

Video Anomaly Detection via Visual Cloze Tests. - Guang Yu; Siqi Wang 001; Zhiping Cai; Xinwang Liu 002; En Zhu; Jianping Yin (IEEE Trans. Inf. Forensics Secur., 2023)

Multiple Kernel Clustering With Compressed Subspace Alignment. - Sihang Zhou 001; Qiyuan Ou; Xinwang Liu 002; Siqi Wang 001; Luyan Liu; Siwei Wang 001; En Zhu; Jianping Yin; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. - Siqi Wang 001; Yijie Zeng; Guang Yu; Zhen Cheng 004; Xinwang Liu 002; Sihang Zhou 001; En Zhu; Marius Kloft; Jianping Yin; Qing Liao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sniffing Threatening Open-World Objects in Autonomous Driving by Open-Vocabulary Models. - Yulin He; Siqi Wang 001; Wei Chen 009; Tianci Xun; Yusong Tan (ACM Multimedia, 2024)

Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. - Jiyuan Liu 003; Xinwang Liu 002; Siqi Wang 001; Xingchen Hu; Qing Liao 001; Xinhang Wan; Yi Zhang 104; Xin Lv; Kunlun He (CoRR, 2024)

Multiview Deep Anomaly Detection: A Systematic Exploration. - Siqi Wang 001; Jiyuan Liu 003; Guang Yu; Xinwang Liu 002; Sihang Zhou 001; En Zhu; Yuexiang Yang; Jianping Yin; Wenjing Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement. - Yulin He; Wei Chen 009; Siqi Wang 001; Tianci Xun; Yusong Tan (AAAI, 2025)

Recalling Unknowns Without Losing Precision: An Effective Solution to Large Model-Guided Open World Object Detection. - Yulin He; Wei Chen 009; Siqi Wang 001; Tianrui Liu 001; Meng Wang 001 (IEEE Trans. Image Process., 2025)

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection. - Siqi Wang 001; Yuanze Hu; Xinwang Liu 002; Siwei Wang 001; Guangpu Wang; Chuanfu Xu; Jie Liu 002; Ping Chen (CoRR, 2025)

SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. - Jingtao Hu; Bin Xiao 002; Hu Jin; Jingcan Duan; Siwei Wang 001; Zhao Lv; Siqi Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)