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• affiliation:South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
• affiliation (PhD 2008):City University of Hong Kong, Hong Kong

• Zhiwen Yu —disambiguation page
• Zhiwen Yu0001 —Northwestern Polytechnical University, School of Computer Science, Xi'an, China(and 4 more)

• 2026
• 
  [j154]
  Lingxi Peng,Binxiong Lv,Xun Gao,Haohuai Liu,Guangyan Huang,Zhiwen Yu:
  A lightweight network for weak texture surface defect detection.Eng. Appl. Artif. Intell.166:113554 (2026)
• 
  [j153]
  Yuhong Xu,Dongyi Ding,Peijie Huang,Zhiwen Yu,C. L. Philip Chen:
  Enriched multi-view ensemble approach for high-dimensional imbalanced data classification.Eng. Appl. Artif. Intell.167:113940 (2026)
• 
  [j152]
  Guangzhen Zhu,Midi Wan,Wenming Cao,Zhiwen Yu,Jin Hu,Bing Li,Xiaotao Fan:
  Med-D3CG: wavelet-based diffusion in the difference domain for cross-modality medical image generation.Expert Syst. Appl.298:129651 (2026)
• 
  [j151]
  Jiahao Liang,Wuxing Chen,Zhiwen Yu,Tong Zhang,C. L. Philip Chen,Kaixiang Yang:
  Diffusion masked autoencoders as casual-aware curriculum learner for graph out-of-distribution generalization.Inf. Fusion127:103792 (2026)
• 
  [j150]
  Zhiwen Yu,Chenchen Yu,Kaixiang Yang,Xu Chen,Yifan Shi,C. L. Philip Chen:
  Tensor-Based Semi-Supervised Multiview Subspace Clustering With Pairwise Constraint Propagation.IEEE Trans. Cybern.56(2):867-879 (2026)
• 
  [j149]
  Wuxing Chen,Zhiwen Yu,Kaixiang Yang,Ziwei Fan,C. L. Philip Chen:
  Adaptive Weighted Double Uncertainty Incrementally Active Learning for Multi-Class Imbalanced Data.IEEE Trans. Knowl. Data Eng.38(2):827-841 (2026)
• 
  [j148]
  Mianfen Lin,Zhiwen Yu,Kaixiang Yang,C. L. Philip Chen:
  Dynamic Chunk-Based Active Learning Based on Enhanced Broad Learning System for Imbalanced Drifting Data Streams.IEEE Trans. Knowl. Data Eng.38(2):997-1010 (2026)
• 
  [j147]
  Guojie Li,Ziwei Fan,Zhiwen Yu,Kaixiang Yang,C. L. Philip Chen:
  Semi-Supervised Ensemble Classifier Based on Distance Constraint for High-Dimensional Data.IEEE Trans. Syst. Man Cybern. Syst.56(1):724-736 (2026)
• 2025
• 
  [j146]
  Ziwei Fan,Zhiwen Yu,Kaixiang Yang,Wuxing Chen,Xiaoqing Liu,Guojie Li,Xianling Yang,C. L. Philip Chen:
  Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning.CAAI Trans. Intell. Technol.10(4):959-982 (2025)
• 
  [j145]
  Zhiwen Yu,Ziyang Dong,Chenchen Yu,Kaixiang Yang,Ziwei Fan,C. L. Philip Chen:
  A review on multi-view learning.Frontiers Comput. Sci.19(7):197334 (2025)
• 
  [j144]
  Mengjuan Li,Wenming Cao,Zhiwen Yu,Hangjun Che:
  Exploring contrastive learning and CLIP for improving image clustering.Inf. Sci.718:122412 (2025)
• 
  [j143]
  Liujian Zhang,Zhiwen Yu,Kaixiang Yang,Bin Wang,C. L. Philip Chen:
  Transferable and discriminative broad network for unsupervised domain adaptation.Knowl. Based Syst.315:113297 (2025)
• 
  [j142]
  Wuxing Chen,Zhiwen Yu,Kaixiang Yang,Jun Jiang,Fan Zhang,C. L. Philip Chen:
  Minimum variance weighted broad cascade network structure for imbalanced classification.Knowl. Based Syst.324:113803 (2025)
• 
  [j141]
  Wenming Cao,Zhongfan Zhang,Man Li,Zhiwen Yu:
  Advancing deep clustering through the synergy of contrastive learning and capsule-GAN.Knowl. Based Syst.330:114551 (2025)
• 
  [j140]
  Guojie Li,Zhiwen Yu,Kaixiang Yang,C. L. Philip Chen,Xuelong Li:
  Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data.IEEE Trans. Pattern Anal. Mach. Intell.47(2):1103-1119 (2025)
• 
  [j139]
  Xuebing Luo,Lingxi Peng,Ziyan Ke,Jinhui Lin,Zhiwen Yu:
  PA-Net: A hybrid architecture for retinal vessel segmentation.Pattern Recognit.161:111254 (2025)
• 
  [j138]
  Guojie Li,Zhiwen Yu,Kaixiang Yang,Ziwei Fan,C. L. Philip Chen:
  Incremental Semisupervised Learning With Adaptive Locality Preservation for High-Dimensional Data.IEEE Trans. Artif. Intell.6(11):2990-3004 (2025)
• 
  [j137]
  Zhiwen Yu,Siyong Huang,Kaixiang Yang,Jianming Lv,C. L. Philip Chen:
  Ensemble Approaches for Dynamic Data Stream Classification Under Label Scarcity.IEEE Trans. Big Data11(6):3047-3060 (2025)
• 
  [j136]
  Mianfen Lin,Zhiwen Yu,Kaixiang Yang,C. L. Philip Chen:
  Hybrid Ensemble Framework for Imbalanced Data Streams With Concept Drift.IEEE Trans. Big Data11(6):3430-3442 (2025)
• 
  [j135]
  Zhijie Zhong,Zhiwen Yu,Yiyuan Yang,Weizheng Wang,Kaixiang Yang,C. L. Philip Chen:
  PatchAD: A Lightweight Patch-Based MLP-Mixer for Time Series Anomaly Detection.IEEE Trans. Big Data11(6):3460-3473 (2025)
• 
  [j134]
  Xiaoqing Liu,Zhiwen Yu,Jun Jiang,Bin Wang,Fa Zhu,Xingchi Chen,Witold Pedrycz:
  Improved Cross-Modal Retrieval Systems Using Self-Reinforcement and Quadruplet Alignment Hashing.IEEE Trans. Consumer Electron.71(4):10880-10892 (2025)
• 
  [j133]
  Man Li,Ming-yang Jiang,Wenming Cao,Mingming Yang,Zhiwen Yu:
  Heterogeneous Propagation-Based Recommendation Systems with Knowledge Graph Attention Network.IEEE Trans. Comput. Soc. Syst.12(5):3230-3242 (2025)
• 
  [j132]
  Kaixiang Yang,Zhijie Zhong,Song Sun,Zhiwen Yu,C. L. Philip Chen,Tong Zhang:
  LLM40FD: Unlocking the Potential of LLM for Anonymous Zero-Shot Fraud Detection.IEEE Trans. Comput. Soc. Syst.12(6):4606-4619 (2025)
• 
  [j131]
  Xu Chen,Zhiwen Yu,Ziwei Fan,Kaixiang Yang,C. L. Philip Chen:
  Adaptive Dictionary Learning for Multiview Subspace Clustering.IEEE Trans. Cybern.55(6):2833-2843 (2025)
• 
  [j130]
  Wuxing Chen,Kaixiang Yang,Zhiwen Yu,Feiping Nie,C. L. Philip Chen:
  Adaptive Broad Network With Graph-Fuzzy Embedding for Imbalanced Noise Data.IEEE Trans. Fuzzy Syst.33(6):1949-1962 (2025)
• 
  [j129]
  Xiaoqing Liu,Zhiwen Yu,Kaixiang Yang,Jun Yu,Huanqiang Zeng,C. L. Philip Chen:
  Enhanced Cross-Modal Hashing via Hybrid Distillation and Structural Refinement.IEEE Trans. Image Process.34:7138-7151 (2025)
• 
  [j128]
  Xiaoqing Liu,Huanqiang Zeng,Yifan Shi,Jianqing Zhu,Kaixiang Yang,Zhiwen Yu:
  Ensemble Prototype Networks for Unsupervised Cross-Modal Hashing With Cross-Task Consistency.IEEE Trans. Multim.27:3476-3488 (2025)
• 
  [j127]
  Zhijie Zhong,Zhiwen Yu,Ziwei Fan,C. L. Philip Chen,Kaixiang Yang:
  Adaptive Memory Broad Learning System for Unsupervised Time Series Anomaly Detection.IEEE Trans. Neural Networks Learn. Syst.36(5):8331-8345 (2025)
• 
  [j126]
  Cheng Liu,Rui Li,Hangjun Che,Man-Fai Leung,Si Wu,Zhiwen Yu,Hau-San Wong:
  Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering.IEEE Trans. Neural Networks Learn. Syst.36(6):10606-10618 (2025)
• 
  [j125]
  Yuanxin Lin,Zhiwen Yu,Kaixiang Yang,C. L. Philip Chen:
  Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection.IEEE Trans. Neural Networks Learn. Syst.36(8):13913-13926 (2025)
• 
  [j124]
  Zhijie Zhong,Zhiwen Yu,Xing Xi,Yue Xu,Wenming Cao,Yiyuan Yang,Kaixiang Yang,Jane You:
  SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection.IEEE Trans. Neural Networks Learn. Syst.36(11):19669-19680 (2025)
• 
  [c79]
  Guojie Li,Zhiwen Yu,Ziwei Fan,Kaixiang Yang:
  Semi-supervised Multi-view Learning with Graph-Based Consistent Feature Fusion.ISNN2025:172-181
• 
  [i12]
  Yuehan Jin,Xiaoqing Liu,Yiyuan Yang,Zhiwen Yu,Tong Zhang,Kaixiang Yang:
  RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognition.CoRRabs/2505.17501 (2025)
• 
  [i11]
  Zhijie Zhong,Zhiwen Yu,Yiu-ming Cheung,Kaixiang Yang:
  CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection.CoRRabs/2509.01098 (2025)
• 
  [i10]
  Zhijie Zhong,Zhiwen Yu,Kaixiang Yang,C. L. Philip Chen:
  Labels Matter More Than Models: Quantifying the Benefit of Supervised Time Series Anomaly Detection.CoRRabs/2511.16145 (2025)
• 
  [i9]
  Jiahao Liang,Haoran Yang,Xiangyu Zhao,Zhiwen Yu,Guandong Xu,Wanyu Wang,Kaixiang Yang:
  Democratic Recommendation with User and Item Representatives Produced by Graph Condensation.CoRRabs/2511.18279 (2025)
• 
  [i8]
  Jiahao Liang,Haoran Yang,Xiangyu Zhao,Zhiwen Yu,Mianjie Li,Chuan Shi,Kaixiang Yang:
  Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation.CoRRabs/2511.18282 (2025)
• 
  [i7]
  Zhijie Zhong,Zhiwen Yu,Pengyu Li,Jianming Lv,C. L. Philip Chen,Min Chen:
  PathFinder: Advancing Path Loss Prediction for Single-to-Multi-Transmitter Scenario.CoRRabs/2512.14150 (2025)
• 
  [i6]
  Liang Peng,Yixuan Ye,Cheng Liu,Hangjun Che,Fei Wang,Zhiwen Yu,Si Wu,Hau-San Wong:
  SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering.CoRRabs/2512.15396 (2025)
• 2024
• 
  [j123]
  Wuxing Chen,Kaixiang Yang,Zhiwen Yu,Yifan Shi,C. L. Philip Chen:
  A survey on imbalanced learning: latest research, applications and future directions.Artif. Intell. Rev.57(6):137 (2024)
• 
  [j122]
  Yuanxin Lin,Zhiwen Yu,Kaixiang Yang,Ziwei Fan,C. L. Philip Chen:
  Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning.IEEE CAA J. Autom. Sinica11(11):2204-2219 (2024)
• 
  [j121]
  Dacheng Zheng,Zhiwen Yu,Wuxing Chen,Weiwen Zhang,Qiying Feng,Yifan Shi,Kaixiang Yang:
  Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising.Inf. Sci.681:121187 (2024)
• 
  [j120]
  Guoliang He,Dawei Jin,Wenjun Jiang,Zongkun Zhao,Lifang Dai,Zhiwen Yu,C. L. Philip Chen:
  Efficient semi-supervised clustering with pairwise constraint propagation for multivariate time series.Inf. Sci.681:121233 (2024)
• 
  [j119]
  Kaixiang Yang,Wuxing Chen,Yifan Shi,Zhiwen Yu,C. L. Philip Chen:
  Simplified Kernel-Based Cost-Sensitive Broad Learning System for Imbalanced Fault Diagnosis.IEEE Trans. Artif. Intell.5(12):6629-6644 (2024)
• 
  [j118]
  Mianfen Lin,Kaixiang Yang,Zhiwen Yu,Yifan Shi,C. L. Philip Chen:
  Hybrid Ensemble Broad Learning System for Network Intrusion Detection.IEEE Trans. Ind. Informatics20(4):5622-5633 (2024)
• 
  [j117]
  Zhiwen Yu,Zhijie Zhong,Kaixiang Yang,Wenming Cao,C. L. Philip Chen:
  Broad Learning Autoencoder With Graph Structure for Data Clustering.IEEE Trans. Knowl. Data Eng.36(1):49-61 (2024)
• 
  [j116]
  Guoliang He,Lifang Dai,Zhiwen Yu,C. L. Philip Chen:
  GAN-Based Temporal Association Rule Mining on Multivariate Time Series Data.IEEE Trans. Knowl. Data Eng.36(10):5168-5180 (2024)
• 
  [j115]
  Yuhong Xu,Zhiwen Yu,C. L. Philip Chen:
  Improved Contraction-Expansion Subspace Ensemble for High-Dimensional Imbalanced Data Classification.IEEE Trans. Knowl. Data Eng.36(10):5194-5205 (2024)
• 
  [j114]
  Guojie Li,Zhiwen Yu,Kaixiang Yang,Mianfen Lin,C. L. Philip Chen:
  Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches.IEEE Trans. Knowl. Data Eng.36(11):6124-6144 (2024)
• 
  [j113]
  Fan Yun,Zhiwen Yu,Kaixiang Yang,C. L. Philip Chen:
  AdaBoost-Stacking Based on Incremental Broad Learning System.IEEE Trans. Knowl. Data Eng.36(12):7585-7599 (2024)
• 
  [j112]
  Cheng Liu,Rui Li,Hangjun Che,Man-Fai Leung,Si Wu,Zhiwen Yu,Hau-San Wong:
  Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering.IEEE Trans. Knowl. Data Eng.36(12):8655-8669 (2024)
• 
  [j111]
  Guoliang He,Dawei Jin,Lifang Dai,Xin Xin,Zhiwen Yu,C. L. Philip Chen:
  Online Learning of Temporal Association Rule on Dynamic Multivariate Time Series Data.IEEE Trans. Knowl. Data Eng.36(12):8954-8966 (2024)
• 
  [j110]
  Kaixiang Yang,Zhiwen Yu,Wuxing Chen,Zefeng Liang,C. L. Philip Chen:
  Solving the Imbalanced Problem by Metric Learning and Oversampling.IEEE Trans. Knowl. Data Eng.36(12):9294-9307 (2024)
• 
  [j109]
  Yuhong Xu,Zhiwen Yu,C. L. Philip Chen:
  Classifier Ensemble Based on Multiview Optimization for High-Dimensional Imbalanced Data Classification.IEEE Trans. Neural Networks Learn. Syst.35(1):870-883 (2024)
• 
  [j108]
  Yifan Shi,Zhiwen Yu,C. L. Philip Chen,Huanqiang Zeng:
  Consensus Clustering With Co-Association Matrix Optimization.IEEE Trans. Neural Networks Learn. Syst.35(3):4192-4205 (2024)
• 
  [j107]
  Cheng Liu,Rui Li,Si Wu,Hangjun Che,Dazhi Jiang,Zhiwen Yu,Hau-San Wong:
  Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering.IEEE Trans. Neural Networks Learn. Syst.35(8):10803-10816 (2024)
• 
  [c78]
  Sihang Liu,Wenming Cao,Ruigang Fu,Kaixiang Yang,Zhiwen Yu:
  RPSC: Robust Pseudo-Labeling for Semantic Clustering.AAAI2024:14008-14016
• 
  [c77]
  Zhijie Zhong,Zhiwen Yu,Jiahui Chen,Kaixiang Yang:
  Insightful Simplicity: Dissimilarity in Time Series Anomaly Detection.ACM TUR-C2024
• 
  [i5]
  Zhijie Zhong,Zhiwen Yu,Yiyuan Yang,Weizheng Wang,Kaixiang Yang:
  PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection.CoRRabs/2401.09793 (2024)
• 
  [i4]
  Zhijie Zhong,Zhiwen Yu,Xing Xi,Yue Xu,Jiahui Chen,Kaixiang Yang:
  SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection.CoRRabs/2405.11238 (2024)
• 
  [i3]
  Pengyu Li,Zhijie Zhong,Tong Zhang,Zhiwen Yu,C. L. Philip Chen,Kaixiang Yang:
  A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System.CoRRabs/2412.05498 (2024)
• 2023
• 
  [j106]
  Cheng Liu,Si Wu,Dazhi Jiang,Zhiwen Yu,Hau-San Wong:
  View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification.IEEE Trans. Biomed. Eng.70(1):307-317 (2023)
• 
  [j105]
  Kaixiang Yang,Yifan Shi,Zhiwen Yu,Qinmin Yang,Arun Kumar Sangaiah,Huanqiang Zeng:
  Stacked One-Class Broad Learning System for Intrusion Detection in Industry 4.0.IEEE Trans. Ind. Informatics19(1):251-260 (2023)
• 
  [j104]
  Yuhong Xu,Zhiwen Yu,Wenming Cao,C. L. Philip Chen:
  A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification.IEEE Trans. Knowl. Data Eng.35(1):16-30 (2023)
• 
  [j103]
  Kaixiang Yang,Yuchen Liu,Zhiwen Yu,C. L. Philip Chen:
  Extracting and Composing Robust Features With Broad Learning System.IEEE Trans. Knowl. Data Eng.35(4):3885-3896 (2023)
• 
  [j102]
  Dan Dai,Zhiwen Yu,Weijie Huang,Yang Hu,C. L. Philip Chen:
  Multi-Objective Cluster Ensemble based on Filter Refinement Scheme.IEEE Trans. Knowl. Data Eng.35(8):8257-8269 (2023)
• 
  [j101]
  Yifan Shi,Kaixiang Yang,Zhiwen Yu,C. L. Philip Chen,Huanqiang Zeng:
  Adaptive Ensemble Clustering With Boosting BLS-Based Autoencoder.IEEE Trans. Knowl. Data Eng.35(12):12369-12383 (2023)
• 
  [j100]
  Yuhong Xu,Zhiwen Yu,C. L. Philip Chen,Zhulin Liu:
  Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification.IEEE Trans. Neural Networks Learn. Syst.34(5):2284-2297 (2023)
• 
  [j99]
  Ganghan Zhang,Guoheng Huang,Haiyuan Chen,Chi-Man Pun,Zhiwen Yu,Wing-Kuen Ling:
  Video action recognition with Key-detail Motion Capturing based on motion spectrum analysis and multiscale feature fusion.Vis. Comput.39(2):539-556 (2023)
• 
  [j98]
  Ziyang Chen,Guoheng Huang,Ying Wang,Junhao Qiu,Fan Yang,Zhiwen Yu,Chi-Man Pun,Wing-Kuen Ling:
  Bi-deformation-UNet: recombination of differential channels for printed surface defect detection.Vis. Comput.39(9):3995-4013 (2023)
• 
  [c76]
  Lianxin Xie,Wen Xue,Zhen Xu,Si Wu,Zhiwen Yu,Hau-San Wong:
  Blemish-aware and Progressive Face Retouching with Limited Paired Data.CVPR2023:5599-5608
• 
  [c75]
  Xiwen Wei,Zhen Xu,Cheng Liu,Si Wu,Zhiwen Yu,Hau-San Wong:
  Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation.CVPR2023:19285-19294
• 
  [c74]
  Kaixiang Yang,Yifan Shi,Zhiwen Yu,Zhijie Zhong,Jichao Bi,Mengzhi Wang:
  Hybrid Clustering Solutions Fusion based on Gated Three-way Decision.IJCNN2023:1-10
• 
  [c73]
  Jinhui Lin,Haohuai Liu,Lingxi Peng,Xuebing Luo,Ziyan Ke,Zhiwen Yu,Ke Ding:
  A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization.KSEM (2)2023:383-395
• 
  [c72]
  Ziyan Ke,Lingxi Peng,Yiduan Chen,Jie Liu,Xuebing Luo,Jinhui Lin,Zhiwen Yu:
  MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs.KSEM (1)2023:405-413
• 2022
• 
  [j97]
  Haiyuan Chen,Lianglun Cheng,Guoheng Huang,Ganghan Zhang,Jiaying Lan,Zhiwen Yu,Chi-Man Pun,Wing-Kuen Ling:
  Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism.Appl. Intell.52(13):15673-15689 (2022)
• 
  [j96]
  Guanyue Li,Xiwen Wei,Si Wu,Zhiwen Yu,Sheng Qian,Hau-San Wong:
  Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning.IEEE Multim.29(3):57-68 (2022)
• 
  [j95]
  Wuxing Chen,Kaixiang Yang,Zhiwen Yu,Weiwen Zhang:
  Double-kernel based class-specific broad learning system for multiclass imbalance learning.Knowl. Based Syst.253:109535 (2022)
• 
  [j94]
  Zeng Lu,Ganghan Zhang,Guoheng Huang,Zhiwen Yu,Chi-Man Pun,Weiwen Zhang,Junan Chen,Wing-Kuen Ling:
  Video person re-identification using key frame screening with index and feature reorganization based on inter-frame relation.Int. J. Mach. Learn. Cybern.13(9):2745-2761 (2022)
• 
  [j93]
  Wuxing Chen,Kaixiang Yang,Weiwen Zhang,Yifan Shi,Zhiwen Yu:
  Double-kernelized weighted broad learning system for imbalanced data.Neural Comput. Appl.34(22):19923-19936 (2022)
• 
  [j92]
  Wenming Cao,Zhongfan Zhang,Cheng Liu,Rui Li,Qianfen Jiao,Zhiwen Yu,Hau-San Wong:
  Unsupervised discriminative feature learning via finding a clustering-friendly embedding space.Pattern Recognit.129:108768 (2022)
• 
  [j91]
  Cheng Liu,Wenming Cao,Si Wu,Wenjun Shen,Dazhi Jiang,Zhiwen Yu,Hau-San Wong:
  Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.IEEE ACM Trans. Comput. Biol. Bioinform.19(2):1193-1202 (2022)
• 
  [j90]
  Jian Zhong,Xiangping Zeng,Wenming Cao,Si Wu,Cheng Liu,Zhiwen Yu,Hau-San Wong:
  Semisupervised Multiple Choice Learning for Ensemble Classification.IEEE Trans. Cybern.52(5):3658-3668 (2022)
• 
  [j89]
  Zhiwen Yu,Daxing Wang,Xianbing Meng,C. L. Philip Chen:
  Clustering Ensemble Based on Hybrid Multiview Clustering.IEEE Trans. Cybern.52(7):6518-6530 (2022)
• 
  [j88]
  Yuhong Xu,Zhiwen Yu,Wenming Cao,C. L. Philip Chen:
  Adaptive Dense Ensemble Model for Text Classification.IEEE Trans. Cybern.52(8):7513-7526 (2022)
• 
  [j87]
  Yang Hu,Guihua Wen,Mingnan Luo,Dan Dai,Wenming Cao,Zhiwen Yu,Wendy Hall:
  Inner-Imaging Networks: Put Lenses Into Convolutional Structure.IEEE Trans. Cybern.52(8):8547-8560 (2022)
• 
  [j86]
  Zhiwen Yu,Kankan Lan,Zhulin Liu,Guoqiang Han:
  Progressive Ensemble Kernel-Based Broad Learning System for Noisy Data Classification.IEEE Trans. Cybern.52(9):9656-9669 (2022)
• 
  [j85]
  Zhiwen Yu,Zhongfan Zhang,Wenming Cao,Cheng Liu,C. L. Philip Chen,Hau-San Wong:
  GAN-Based Enhanced Deep Subspace Clustering Networks.IEEE Trans. Knowl. Data Eng.34(7):3267-3281 (2022)
• 
  [j84]
  Kaixiang Yang,Zhiwen Yu,C. L. Philip Chen,Wenming Cao,Jane You,Hau-San Wong:
  Incremental Weighted Ensemble Broad Learning System for Imbalanced Data.IEEE Trans. Knowl. Data Eng.34(12):5809-5824 (2022)
• 
  [j83]
  Zhiwen Yu,Fengxu Ye,Kaixiang Yang,Wenming Cao,C. L. Philip Chen,Lianglun Cheng,Jane You,Hau-San Wong:
  Semisupervised Classification With Novel Graph Construction for High-Dimensional Data.IEEE Trans. Neural Networks Learn. Syst.33(1):75-88 (2022)
• 
  [j82]
  Cheng Liu,Wenming Cao,Si Wu,Wenjun Shen,Dazhi Jiang,Zhiwen Yu,Hau-San Wong:
  Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning.IEEE Trans. Neural Networks Learn. Syst.33(2):654-666 (2022)
• 
  [j81]
  Kaixiang Yang,Zhiwen Yu,C. L. Philip Chen,Wenming Cao,Hau-San Wong,Jane You,Guoqiang Han:
  Progressive Hybrid Classifier Ensemble for Imbalanced Data.IEEE Trans. Syst. Man Cybern. Syst.52(4):2464-2478 (2022)
• 
  [c71]
  Xiaoyang Huo,Guangchang Deng,Si Wu,Zhiwen Yu,Peng Li:
  Semi-Supervised Generative Learning with Extended Distribution Matching for Class-Conditional Image Synthesis.ICME2022:1-6
• 2021
• 
  [j80]
  Yang Hu,Guihua Wen,Mingnan Luo,Pei Yang,Dan Dai,Zhiwen Yu,Changjun Wang,Wendy Hall:
  Fully-channel regional attention network for disease-location recognition with tongue images.Artif. Intell. Medicine118:102110 (2021)
• 
  [j79]
  Shixin Huang,Xiangping Zeng,Si Wu,Zhiwen Yu,Mohamed Azzam,Hau-San Wong:
  Behavior regularized prototypical networks for semi-supervised few-shot image classification.Pattern Recognit.112:107765 (2021)
• 
  [j78]
  Yang Hu,Guihua Wen,Huiqiang Liao,Changjun Wang,Dan Dai,Zhiwen Yu:
  Automatic Construction of Chinese Herbal Prescriptions From Tongue Images Using CNNs and Auxiliary Latent Therapy Topics.IEEE Trans. Cybern.51(2):708-721 (2021)
• 
  [j77]
  Qianli Ma,Enhuan Chen,Zhenxi Lin,Jiangyue Yan,Zhiwen Yu,Wing W. Y. Ng:
  Convolutional Multitimescale Echo State Network.IEEE Trans. Cybern.51(3):1613-1625 (2021)
• 
  [j76]
  Dan Dai,Juan Tang,Zhiwen Yu,Hau-San Wong,Jane You,Wenming Cao,Yang Hu,C. L. Philip Chen:
  An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering.IEEE Trans. Cybern.51(4):2019-2031 (2021)
• 
  [j75]
  Jun Wang,Xing Wang,Guoxian Yu,Carlotta Domeniconi,Zhiwen Yu,Zili Zhang:
  Discovering Multiple Co-Clusterings With Matrix Factorization.IEEE Trans. Cybern.51(7):3576-3587 (2021)
• 
  [j74]
  Yuhong Xu,Zhiwen Yu,Wenming Cao,C. L. Philip Chen,Jane You:
  Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification.IEEE Trans. Knowl. Data Eng.33(7):2847-2862 (2021)
• 
  [j73]
  Yifan Shi,Zhiwen Yu,Wenming Cao,C. L. Philip Chen,Hau-San Wong,Guoqiang Han:
  Fast and Effective Active Clustering Ensemble Based on Density Peak.IEEE Trans. Neural Networks Learn. Syst.32(8):3593-3607 (2021)
• 
  [j72]
  Yewang Chen,Lida Zhou,Songwen Pei,Zhiwen Yu,Yi Chen,Xin Liu,Jixiang Du,Naixue Xiong:
  KNN-BLOCK DBSCAN: Fast Clustering for Large-Scale Data.IEEE Trans. Syst. Man Cybern. Syst.51(6):3939-3953 (2021)
• 
  [c70]
  Yi Liu,Xiaoyang Huo,Tianyi Chen,Xiangping Zeng,Si Wu,Zhiwen Yu,Hau-San Wong:
  Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis.CVPR2021:5506-5515
• 
  [c69]
  Guanyue Li,Xiwen Wei,Sheng Qian,Si Wu,Zhiwen Yu,Hau-San Wong:
  Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders.ICME2021:1-6
• 
  [c68]
  Zhongfan Zhang,Wenming Cao,Cheng Liu,Rui Li,Qianfen Jiao,Zhiwen Yu,C. L. Philip Chen,Hau-San Wong:
  Unsupervised Ensemble Learning Via Network Generation.ICME2021:1-6
• 
  [c67]
  Zhihao Li,Zhiwen Yu,Kaixiang Yang,Yifan Shi,Yuhong Xu,C. L. Philip Chen:
  Local Tangent Generative Adversarial Network for Imbalanced Data Classification.IJCNN2021:1-8
• 
  [c66]
  Yuchen Liu,Kaixiang Yang,Zhiwen Yu,Zhulin Liu,Yifan Shi,C. L. Philip Chen:
  Pruning Broad Learning System based on Adaptive Feature Evolution.IJCNN2021:1-9
• 2020
• 
  [j71]
  Xuexian Chen,Si Wu,Zhiwen Yu:
  Self-Enhanced R-CNNs for Human Detection With Semi-Supervised Assumptions.IEEE Access8:15132-15143 (2020)
• 
  [j70]
  Rui Luo,Zhiwen Yu,Wenming Cao,Cheng Liu,Hau-San Wong,C. L. Philip Chen:
  Adaptive Regularized Semi-Supervised Clustering Ensemble.IEEE Access8:17926-17934 (2020)
• 
  [j69]
  Weihong Chen,Yuhong Xu,Zhiwen Yu,Wenming Cao,C. L. Philip Chen,Guoqiang Han:
  Hybrid Dimensionality Reduction Forest With Pruning for High-Dimensional Data Classification.IEEE Access8:40138-40150 (2020)
• 
  [j68]
  Xianfa Cai,Guihua Wen,Jia Wei,Zhiwen Yu:
  Erratum to: Relative manifold based semi-supervised dimensionality reduction.Frontiers Comput. Sci.14(1):236 (2020)
• 
  [j67]
  Xibin Dong,Zhiwen Yu,Wenming Cao,Yifan Shi,Qianli Ma:
  A survey on ensemble learning.Frontiers Comput. Sci.14(2):241-258 (2020)
• 
  [j66]
  Cheng Liu,Si Wu,Wenming Cao,Wenjun Shen,Dazhi Jiang,Zhiwen Yu,Hau-San Wong:
  Joint subspace and discriminative learning for self-paced domain adaptation.Knowl. Based Syst.205:106285 (2020)
• 
  [j65]
  Cheng Liu,Chutao Zheng,Si Wu,Zhiwen Yu,Hau-San Wong:
  Multitask Feature Selection by Graph-Clustered Feature Sharing.IEEE Trans. Cybern.50(1):74-86 (2020)
• 
  [j64]
  Yifan Shi,Zhiwen Yu,C. L. Philip Chen,Jane You,Hau-San Wong,Yide Wang,Jun Zhang:
  Transfer Clustering Ensemble Selection.IEEE Trans. Cybern.50(6):2872-2885 (2020)
• 
  [j63]
  Qianli Ma,Sen Li,Lifeng Shen,Jiabing Wang,Jia Wei,Zhiwen Yu,Garrison W. Cottrell:
  End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables.IEEE Trans. Cybern.50(12):4908-4920 (2020)
• 
  [j62]
  Jichang Li,Si Wu,Cheng Liu,Zhiwen Yu,Hau-San Wong:
  Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration.IEEE Trans. Image Process.29:538-550 (2020)
• 
  [j61]
  Si Wu,Wenhao Wu,Shiyao Lei,Sihao Lin,Rui Li,Zhiwen Yu,Hau-San Wong:
  Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification.IEEE Trans. Image Process.29:1562-1574 (2020)
• 
  [j60]
  Kaixiang Yang,Zhiwen Yu,Xin Wen,Wenming Cao,C. L. Philip Chen,Hau-San Wong,Jane You:
  Hybrid Classifier Ensemble for Imbalanced Data.IEEE Trans. Neural Networks Learn. Syst.31(4):1387-1400 (2020)
• 
  [c65]
  Yi Liu,Guangchang Deng,Xiangping Zeng,Si Wu,Zhiwen Yu,Hau-San Wong:
  Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning.CVPR2020:5719-5728

• 2019
• 
  [j59]
  Xian-Fa Cai,Jia Wei,Guihua Wen,Zhiwen Yu,Yongming Cai,Jie Li:
  Semi-supervised dimensionality reduction based on local estimation error.Int. J. High Perform. Comput. Netw.14(1):69-76 (2019)
• 
  [j58]
  Zhiwen Yu,Yidong Zhang,Jane You,C. L. Philip Chen,Hau-San Wong,Guoqiang Han,Jun Zhang:
  Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification.IEEE Trans. Cybern.49(2):366-379 (2019)
• 
  [j57]
  Zhiwen Yu,Daxing Wang,Zhuoxiong Zhao,C. L. Philip Chen,Jane You,Hau-San Wong,Jun Zhang:
  Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification.IEEE Trans. Cybern.49(2):403-416 (2019)
• 
  [j56]
  Zhiwen Yu,Yidong Zhang,C. L. Philip Chen,Jane You,Hau-San Wong,Dan Dai,Si Wu,Jun Zhang:
  Multiobjective Semisupervised Classifier Ensemble.IEEE Trans. Cybern.49(6):2280-2293 (2019)
• 
  [j55]
  Yong Du,Guoqiang Han,Yuhui Quan,Zhiwen Yu,Hau-San Wong,C. L. Philip Chen,Jun Zhang:
  Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion.IEEE Trans. Cybern.49(11):3898-3910 (2019)
• 
  [j54]
  Wenming Cao,Si Wu,Zhiwen Yu,Hau-San Wong:
  Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering.IEEE Trans. Neural Networks Learn. Syst.30(2):355-368 (2019)
• 
  [c64]
  Si Wu,Jian Zhong,Wenming Cao,Rui Li,Zhiwen Yu,Hau-San Wong:
  Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks.AAAI2019:5450-5457
• 
  [c63]
  Si Wu,Jichang Li,Cheng Liu,Zhiwen Yu,Hau-San Wong:
  Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification.CVPR2019:6500-6509
• 
  [c62]
  Si Wu,Guangchang Deng,Jichang Li,Rui Li,Zhiwen Yu,Hau-San Wong:
  Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification.CVPR2019:10091-10100
• 
  [c61]
  Zhengdong Wu,Fujian Wu,Jin Chai,Choujun Zhan,Zhiwen Yu:
  Prediction of Daily Precipitation Based on Deep Learning and Broad Learning Techniques.ISKE2019:513-519
• 
  [c60]
  Jin Chai,Wei Jiang,Yuxia Fu,Choujun Zhan,Zhiwen Yu:
  A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years.ISKE2019:1234-1240
• 
  [i2]
  Yang Hu,Guihua Wen,Mingnan Luo,Dan Dai,Wenming Cao,Zhiwen Yu:
  Inner-Imaging Convolutional Networks.CoRRabs/1904.12639 (2019)
• 2018
• 
  [j53]
  Farrikh Alzami,Juan Tang,Zhiwen Yu,Si Wu,C. L. Philip Chen,Jane You,Jun Zhang:
  Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification.IEEE Access6:29132-29145 (2018)
• 
  [j52]
  Zhiwen Yu,Ye Lu,Jun Zhang,Jane You,Hau-San Wong,Yide Wang,Guoqiang Han:
  Progressive Semisupervised Learning of Multiple Classifiers.IEEE Trans. Cybern.48(2):689-702 (2018)
• 
  [j51]
  Zhiqiang Wang,Zhiwen Yu,C. L. Philip Chen,Jane You,Tianlong Gu,Hau-San Wong,Jun Zhang:
  Clustering by Local Gravitation.IEEE Trans. Cybern.48(5):1383-1396 (2018)
• 
  [j50]
  Zhiwen Yu,Peinan Luo,Jiming Liu,Hau-San Wong,Jane You,Guoqiang Han,Jun Zhang:
  Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection.IEEE Trans. Knowl. Data Eng.30(12):2394-2407 (2018)
• 
  [j49]
  Si Wu,Qiujia Ji,Shufeng Wang,Hau-San Wong,Zhiwen Yu,Yong Xu:
  Semi-Supervised Image Classification With Self-Paced Cross-Task Networks.IEEE Trans. Multim.20(4):851-865 (2018)
• 
  [c59]
  Xing Wang,Guoxian Yu,Carlotta Domeniconi,Jun Wang,Zhiwen Yu,Zili Zhang:
  Multiple Co-clusterings.ICDM2018:1308-1313
• 
  [c58]
  Run-Dong Liu,Zhi-Hui Zhan,Wei-Neng Chen,Zhiwen Yu,Jun Zhang:
  Estimation of Distribution Algorithm for Autonomous Underwater Vehicles Path Planning.ISNN2018:647-655
• 
  [i1]
  Dan Dai,Zhiwen Yu,Yang Hu,Wenming Cao,Mingnan Luo:
  Metabolize Neural Network.CoRRabs/1809.00837 (2018)
• 2017
• 
  [j48]
  Jing-Jing Li,Farrikh Alzami,Yue-Jiao Gong,Zhiwen Yu:
  A Multi-Label Learning Method Using Affinity Propagation and Support Vector Machine.IEEE Access5:2955-2966 (2017)
• 
  [j47]
  Jianzhong Li,Yide Wang,Cédric Le Bastard,Gang Wei,Biyun Ma,Meng Sun,Zhiwen Yu:
  Simplified High-Order DOA and Range Estimation With Linear Antenna Array.IEEE Commun. Lett.21(1):76-79 (2017)
• 
  [j46]
  Chaoqun Hong,Jun Yu,Jane Jia You,Zhiwen Yu,Xuhui Chen:
  Three-dimensional image-based human pose recovery with hypergraph regularized autoencoders.Multim. Tools Appl.76(8):10919-10937 (2017)
• 
  [j45]
  Meng Sun,Cédric Le Bastard,Nicolas Pinel,Yide Wang,Jianzhong Li,Jingjing Pan,Zhiwen Yu:
  Estimation of time delay and interface roughness by GPR using modified MUSIC.Signal Process.132:272-283 (2017)
• 
  [j44]
  Zhiwen Yu,Xianjun Zhu,Hau-San Wong,Jane You,Jun Zhang,Guoqiang Han:
  Distribution-Based Cluster Structure Selection.IEEE Trans. Cybern.47(11):3554-3567 (2017)
• 
  [j43]
  Zhiwen Yu,Zhiqiang Wang,Jane You,Jun Zhang,Jiming Liu,Hau-San Wong,Guoqiang Han:
  A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets.IEEE Trans. Cybern.47(12):4418-4431 (2017)
• 
  [j42]
  Zhiwen Yu,Zongqiang Kuang,Jiming Liu,Hongsheng Chen,Jun Zhang,Jane You,Hau-San Wong,Guoqiang Han:
  Adaptive Ensembling of Semi-Supervised Clustering Solutions.IEEE Trans. Knowl. Data Eng.29(8):1577-1590 (2017)
• 
  [c57]
  Xin Situ,Wei-Neng Chen,Yue-Jiao Gong,Ying Lin,Wei-Jie Yu,Zhiwen Yu,Jun Zhang:
  A parallel Ant Colony System based on region decomposition for Taxi-Passenger Matching.CEC2017:960-967
• 
  [c56]
  Hong-Kun Zheng,Jing-Jing Li,Yue-Jiao Gong,Wei-Neng Chen,Zhiwen Yu,Zhi-Hui Zhan,Ying Lin:
  Link mapping-oriented ant colony system for virtual network embedding.CEC2017:1223-1230
• 
  [c55]
  Yingying Qu,Zhiwen Yu,Hao Cong,Tianyong Hao:
  Pedagogical Principle Based E-learning Exploration: A Case of Construction Mediation Training.SETE@ICWL2017:539-547
• 
  [c54]
  Jieyan Chen,Farrikh Alzami,Zhiwen Yu,Zhi-Hui Zhan,Qinmin Yang:
  Sort subspace clustering ensemble framework based on the latent model.SMC2017:2390-2395
• 2016
• 
  [j41]
  Xiaowen Feng,Yide Wang,Bruno Feuvrie,Anne-Sophie Descamps,Yuehua Ding,Zhiwen Yu:
  Analysis on LUT based digital predistortion using direct learning architecture for linearizing power amplifiers.EURASIP J. Wirel. Commun. Netw.2016:132 (2016)
• 
  [j40]
  Dingwen Wang,Shilei Sun,Xi Chen,Zhiwen Yu:
  A 3D shape descriptor based on spherical harmonics through evolutionary optimization.Neurocomputing194:183-191 (2016)
• 
  [j39]
  Qianli Ma,Lifeng Shen,Weibiao Chen,Jiabin Wang,Jia Wei,Zhiwen Yu:
  Functional echo state network for time series classification.Inf. Sci.373:1-20 (2016)
• 
  [j38]
  Zhiwen Yu,Daxing Wang,Jane You,Hau-San Wong,Si Wu,Jun Zhang,Guoqiang Han:
  Progressive subspace ensemble learning.Pattern Recognit.60:692-705 (2016)
• 
  [j37]
  Zhiwen Yu,Hantao Chen,Jiming Liu,Jane You,Hareton Leung,Guoqiang Han:
  Hybrid k-Nearest Neighbor Classifier.IEEE Trans. Cybern.46(6):1263-1275 (2016)
• 
  [j36]
  Zhiwen Yu,Peinan Luo,Jane You,Hau-San Wong,Hareton Leung,Si Wu,Jun Zhang,Guoqiang Han:
  Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering.IEEE Trans. Knowl. Data Eng.28(3):701-714 (2016)
• 
  [c53]
  Zi-Jia Wang,Zhi-Hui Zhan,Ke-Jing Du,Zhiwen Yu,Jun Zhang:
  Orthogonal learning particle swarm optimization with variable relocation for dynamic optimization.CEC2016:594-600
• 
  [c52]
  Yong-Feng Ge,Wei-Jie Yu,Jing-Jing Li,Zhiwen Yu,Jun Zhang:
  Enhancing distributed differential evolution with a space-driven topology.CEC2016:4090-4095
• 
  [c51]
  Zhiwen Yu,Guoqiang Han,Le Li,Jiming Liu,Jun Zhang:
  Adaptive noise immune cluster ensemble using affinity propagation.ICDE2016:1454-1455
• 
  [c50]
  Zhiwen Yu,Peinan Luo,Si Wu,Guoqiang Han,Jane You,Hareton Leung,Hau-San Wong,Jun Zhang:
  Incremental semi-supervised clustering ensemble for high dimensional data clustering.ICDE2016:1484-1485
• 
  [c49]
  Farrikh Alzami,Daxing Wang,Zhiwen Yu,Jane You,Hau-San Wong,Guoqiang Han:
  Robust Epileptic Seizure Classification.ICIC (2)2016:363-373
• 2015
• 
  [j35]
  Guo-Xian Yu,Guoji Zhang,Zili Zhang,Zhiwen Yu,Lin Deng:
  Semi-supervised classification based on subspace sparse representation.Knowl. Inf. Syst.43(1):81-101 (2015)
• 
  [j34]
  Jianming Lv,Zhiwen Yu,Tieying Zhang:
  Towards an immunity based distributed algorithm to detect harmful files shared in P2P networks.Peer-to-Peer Netw. Appl.8(1):49-62 (2015)
• 
  [j33]
  Delei Liu,Yong Xu,Yuhui Quan,Zhiwen Yu,Patrick Le Callet:
  Directional regularity for visual quality estimation.Signal Process.110:211-221 (2015)
• 
  [j32]
  Zhiwen Yu,Hantao Chen,Jane You,Jiming Liu,Hau-San Wong,Guoqiang Han,Le Li:
  Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data.IEEE ACM Trans. Comput. Biol. Bioinform.12(4):887-901 (2015)
• 
  [j31]
  Zhiwen Yu,Le Li,Jiming Liu,Guoqiang Han:
  Hybrid Adaptive Classifier Ensemble.IEEE Trans. Cybern.45(2):177-190 (2015)
• 
  [j30]
  Zhiwen Yu,Le Li,Jiming Liu,Jun Zhang,Guoqiang Han:
  Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation.IEEE Trans. Knowl. Data Eng.27(12):3176-3189 (2015)
• 2014
• 
  [j29]
  Xian-Fa Cai,Guihua Wen,Jia Wei,Jie Li,Zhiwen Yu:
  Perceptual relativity-based semi-supervised dimensionality reduction algorithm.Appl. Soft Comput.16:112-123 (2014)
• 
  [j28]
  Qian-Li Ma,Wei-Biao Chen,Jia Wei,Zhiwen Yu:
  Direct model of memory properties and the linear reservoir topologies in echo state networks.Appl. Soft Comput.22:622-628 (2014)
• 
  [j27]
  Xian-Fa Cai,Guihua Wen,Jia Wei,Zhiwen Yu:
  Relative manifold based semi-supervised dimensionality reduction.Frontiers Comput. Sci.8(6):923-932 (2014)
• 
  [j26]
  Zhiwen Yu,Le Li,Hau-San Wong,Jane You,Guoqiang Han,Yunjun Gao,Guo-Xian Yu:
  Probabilistic cluster structure ensemble.Inf. Sci.267:16-34 (2014)
• 
  [j25]
  Zhiwen Yu,Le Li,Yunjun Gao,Jane You,Jiming Liu,Hau-San Wong,Guoqiang Han:
  Hybrid clustering solution selection strategy.Pattern Recognit.47(10):3362-3375 (2014)
• 
  [j24]
  Guo-Xian Yu,Huzefa Rangwala,Carlotta Domeniconi,Guoji Zhang,Zhiwen Yu:
  Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification".IEEE ACM Trans. Comput. Biol. Bioinform.11(1):265 (2014)
• 
  [j23]
  Guo-Xian Yu,Huzefa Rangwala,Carlotta Domeniconi,Guoji Zhang,Zhiwen Yu:
  Protein Function Prediction withIncomplete Annotations.IEEE ACM Trans. Comput. Biol. Bioinform.11(3):579-591 (2014)
• 
  [j22]
  Zhiwen Yu,Hongsheng Chen,Jane You,Hau-San Wong,Jiming Liu,Le Li,Guoqiang Han:
  Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles.IEEE ACM Trans. Comput. Biol. Bioinform.11(4):727-740 (2014)
• 
  [j21]
  Si Wu,Hau-San Wong,Zhiwen Yu:
  A Bayesian Model for Crowd Escape Behavior Detection.IEEE Trans. Circuits Syst. Video Technol.24(1):85-98 (2014)
• 
  [j20]
  Xian-Fa Cai,Jia Wei,Guihua Wen,Zhiwen Yu:
  Local and Global Preserving Semisupervised Dimensionality Reduction Based on Random Subspace for Cancer Classification.IEEE J. Biomed. Health Informatics18(2):500-507 (2014)
• 
  [c48]
  Jianming Lv,Haibiao Lin,Can Yang,Zhiwen Yu,Yinghong Chen,Miaoyi Deng:
  Identify and Trace Criminal Suspects in the Crowd Aided by Fast Trajectories Retrieval.DASFAA (2)2014:16-30
• 
  [c47]
  Le Li,Zhiwen Yu,Jiming Liu,Jane You,Hau-San Wong,Guoqiang Han:
  Multi-view Based AdaBoost Classifier Ensemble for Class Prediction from Gene Expression Profiles.ICPR2014:178-183
• 2013
• 
  [j19]
  Haisheng Li,Guihua Wen,Zhiwen Yu,Tiangang Zhou:
  Random subspace evidence classifier.Neurocomputing110:62-69 (2013)
• 
  [j18]
  Guo-Xian Yu,Huzefa Rangwala,Carlotta Domeniconi,Guoji Zhang,Zhiwen Yu:
  Protein Function Prediction Using Multilabel Ensemble Classification.IEEE ACM Trans. Comput. Biol. Bioinform.10(4):1045-1057 (2013)
• 
  [c46]
  Daxing Wang,Le Li,Zhiwen Yu,Xiaowei Wang:
  A P2CE: Double aff in ity propagation based cluster ensemble.ICMLC2013:16-23
• 2012
• 
  [j17]
  Guo-Xian Yu,Guoji Zhang,Zhiwen Yu,Carlotta Domeniconi,Jane You,Guoqiang Han:
  Semi-supervised ensemble classification in subspaces.Appl. Soft Comput.12(5):1511-1522 (2012)
• 
  [j16]
  Guihua Wen,Lijun Jiang,Jun Wen,Jia Wei,Zhiwen Yu:
  Perceptual relativity-based local hyperplane classification.Neurocomputing97:155-163 (2012)
• 
  [j15]
  Zhiwen Yu,Jane You,Hau-San Wong,Guoqiang Han:
  From cluster ensemble to structure ensemble.Inf. Sci.198:81-99 (2012)
• 
  [j14]
  Zhiwen Yu,Hau-San Wong,Jane You,Guoqiang Han:
  Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme.Inf. Sci.203:83-101 (2012)
• 
  [j13]
  Yunping Zheng,Zhiwen Yu,Jane You,Mudar Sarem:
  A novel gray image representation using overlapping rectangular NAM and extended shading approach.J. Vis. Commun. Image Represent.23(7):972-983 (2012)
• 
  [j12]
  Guo-Xian Yu,Guoji Zhang,Carlotta Domeniconi,Zhiwen Yu,Jane You:
  Semi-supervised classification based on random subspace dimensionality reduction.Pattern Recognit.45(3):1119-1135 (2012)
• 
  [j11]
  Zhiwen Yu,Hau-San Wong,Jane You,Guo-Xian Yu,Guoqiang Han:
  Hybrid cluster ensemble framework based on the random combination of data transformation operators.Pattern Recognit.45(5):1826-1837 (2012)
• 
  [j10]
  Zhiwen Yu,Le Li,Jane You,Hau-San Wong,Guoqiang Han:
  SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles.IEEE ACM Trans. Comput. Biol. Bioinform.9(6):1751-1765 (2012)
• 
  [c45]
  Guo-Xian Yu,Guoji Zhang,Huzefa Rangwala,Carlotta Domeniconi,Zhiwen Yu:
  Protein function prediction using weak-label learning.BCB2012:202-209
• 
  [c44]
  Zhiwen Yu,Jane You,Hantao Chen,Le Li,Xiaowei Wang:
  Tumor clustering based on hybrid cluster ensemble framework.ICCH2012:95-101
• 
  [c43]
  Zhiwen Yu,Jane You,Guoqiang Han,Le Li,Xiaowei Wang:
  Fast normalized cut algorithm based on self-organizing map.ICMLC2012:1376-1382
• 
  [c42]
  Zhiwen Yu,Le Li,Daxing Wang,Jane You,Guoqiang Han,Hantao Chen:
  Structure ensemble based on fuzzy c-means.ICMLC2012:1383-1389
• 
  [c41]
  Zhiwen Yu,Xiaowei Wang,Jane You,Guoqiang Han,Le Li:
  Representative Multi-Label Bayesian Approach for image classification.ICMLC2012:1395-1399
• 
  [c40]
  Zhiwen Yu,Hantao Chen,Jane You,Le Li,Guoqiang Han:
  SOM 2 CE: Double Self-Organizing Map Based Cluster Ensemble Framework and its Application in Cancer Gene Expression Profiles.IEA/AIE2012:351-360
• 
  [c39]
  Guo-Xian Yu,Carlotta Domeniconi,Huzefa Rangwala,Guoji Zhang,Zhiwen Yu:
  Transductive multi-label ensemble classification for protein function prediction.KDD2012:1077-1085
• 2011
• 
  [j9]
  Ying Shen,Hau-San Wong,Shaohong Zhang,Zhiwen Yu:
  Feature-based 3D motif filtering for ribosomal RNA.Bioinform.27(20):2828-2835 (2011)
• 
  [j8]
  Zhiwen Yu,Hau-San Wong,Guihua Wen:
  A modified support vector machine and its application to image segmentation.Image Vis. Comput.29(1):29-40 (2011)
• 
  [j7]
  Zhiwen Yu,Hau-San Wong,Dingwen Wang,Ming Wei:
  Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems.IEEE Trans. Evol. Comput.15(6):812-831 (2011)
• 
  [c38]
  Zhiwen Yu,Jane You,Guihua Wen:
  Neural gas based cluster ensemble algorithm and its application to cancer data.ICMLC2011:15-20
• 
  [c37]
  Zhiwen Yu,Jane You,Guihua Wen:
  PSEFminer: A new probabilistic subspace ensemble framework for cancer microarray data analysis.ICMLC2011:21-26
• 
  [c36]
  Guo-Xian Yu,Zhiwen Yu,Jing Hua,Xuan Li,Jane You:
  Sparse representation based spectral regression.ICMLC2011:532-537
• 
  [c35]
  Le Li,Zhiwen Yu,Zijian Feng,Xiaohang Zhang:
  Automatic classification of uncertain data by soft classifier.ICMLC2011:679-684
• 
  [c34]
  Guihua Wen,Jia Wei,Zhiwen Yu,Jun Wen,Lijun Jiang:
  Relative nearest neighbors for classification.ICMLC2011:773-778
• 
  [c33]
  Le Li,Xiaohang Zhang,Zhiwen Yu,Zijian Feng,Ruiping Wei:
  USOM: Mining and visualizing uncertain data based on self-organizing maps.ICMLC2011:804-809
• 
  [c32]
  Jianming Lv,Zhiwen Yu,Tieying Zhang:
  iDetect: An immunity based algorithm to detect harmful content shared in Peer-to-Peer networks.ICMLC2011:926-931
• 
  [c31]
  Zhiwen Yu,Jane You,Guihua Wen:
  Penalty-based cluster validity index for class discovery from cancer data.ICMLC2011:1577-1582
• 2010
• 
  [j6]
  Zhiwen Yu,Hau-San Wong,Hong Peng,Qian-Li Ma:
  ASM: An adaptive simplification method for 3D point-based models.Comput. Aided Des.42(7):598-612 (2010)
• 
  [j5]
  Zhiwen Yu,Hau-San Wong:
  Quantization-based clustering algorithm.Pattern Recognit.43(8):2698-2711 (2010)
• 
  [j4]
  Shaohong Zhang,Hau-San Wong,Zhiwen Yu,Horace Ho-Shing Ip:
  Hybrid Associative Retrieval of Three-Dimensional Models.IEEE Trans. Syst. Man Cybern. Part B40(6):1582-1595 (2010)

• 2009
• 
  [c30]
  Si Wu,Zhiwen Yu,Hau-San Wong:
  A Shape Derivative Based Approach for Crowd Flow Segmentation.ACCV (1)2009:93-102
• 
  [c29]
  Si Wu,Zhiwen Yu,Hau-San Wong:
  Crowd Flow Segmentation Using a Novel Region Growing Scheme.PCM2009:898-907
• 2008
• 
  [c28]
  Zhiwen Yu,Zhongkai Deng,Hau-San Wong:
  K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites.BIOCOMP2008:713-717
• 
  [c27]
  Zhiwen Yu,Dingwen Wang,Hau-San Wong:
  Knowledge learning based evolutionary algorithm for unconstrained optimization problem.IEEE Congress on Evolutionary Computation2008:572-579
• 
  [c26]
  Zhiwen Yu,Dingwen Wang,Hau-San Wong:
  Nearest neighbor evolutionary algorithm for constrained optimization problem.IEEE Congress on Evolutionary Computation2008:2335-2342
• 
  [c25]
  Xing Wang,Zhiwen Yu,Hau-San Wong:
  3D motion sequence retrieval based on data distribution.ICME2008:1229-1232
• 
  [c24]
  Xing Wang,Zhiwen Yu,Hau-San Wong:
  Searching of motion database based on hierarchical SOM.ICME2008:1233-1236
• 
  [c23]
  Zhiwen Yu,Hau-San Wong:
  Image classification based on the bagging-adaboost ensemble.ICME2008:1481-1484
• 
  [c22]
  Zhiwen Yu,Zhongkai Deng,Hau-San Wong:
  Identification of phosphorylation sites using a hybrid classifier ensemble approach.ICPR2008:1-4
• 
  [c21]
  Zhiwen Yu,Hau-San Wong:
  Knowledge based cluster ensemble for 3D head model classification.ICPR2008:1-4
• 
  [c20]
  Zhiwen Yu,Xing Wang,Hau-San Wong:
  Ensemble based 3D human motion classification.IJCNN2008:505-509
• 
  [c19]
  Zhiwen Yu,Zhongkai Deng,Hau-San Wong,Xing Wang:
  Fuzzy cluster ensemble and its application on 3D head model classification.IJCNN2008:569-576
• 
  [c18]
  Zhiwen Yu,Xing Wang,Hau-San Wong,Zhongkai Deng:
  Pattern mining based on local distribution.IJCNN2008:584-588
• 
  [c17]
  Zhiwen Yu,Zhongkai Deng,Hau-San Wong,Xing Wang:
  Knowledge based Cluster Ensemble.IJCNN2008:589-594
• 2007
• 
  [j3]
  Zhiwen Yu,Hau-San Wong,Hong-Qiang Wang:
  Graph-based consensus clustering for class discovery from gene expression data.Bioinform.23(21):2888-2896 (2007)
• 
  [j2]
  Zhiwen Yu,Hau-San Wong:
  A Rule Based Technique for Extraction of Visual Attention Regions Based on Real-Time Clustering.IEEE Trans. Multim.9(4):766-784 (2007)
• 
  [j1]
  Hau-San Wong,Bo Ma,Zhiwen Yu,Pui Fong Yeung,Horace Ho-Shing Ip:
  3-D Head Model Retrieval Using a Single Face View Query.IEEE Trans. Multim.9(5):1026-1036 (2007)
• 
  [c16]
  Zhiwen Yu,Hau-San Wong:
  Fast Gaussian Mixture Clustering for Skin Detection.ICIP (4)2007:341-344
• 
  [c15]
  Zhiwen Yu,Hau-San Wong,Jiqi Zhang:
  Gaussian Representation for 3D Point Based Head Model Classification Based on Generalized Minimax Algorithm.ICME2007:488-491
• 
  [c14]
  Zhiwen Yu,Shaohong Zhang,Hau-San Wong,Jiqi Zhang:
  Image Segmentation Based on Cluster Ensemble.ISNN (3)2007:894-903
• 
  [c13]
  Zhiwen Yu,Shaohong Zhang,Jiqi Zhang,Hau-San Wong:
  3D Head Model Classification based on Bayesian classifer.MLDM Posters2007:70-79
• 
  [c12]
  Zhiwen Yu,Shaohong Zhang,Jiqi Zhang,Hau-San Wong:
  3D Head Model Classification based on Cluster Ensemble.MLDM Posters2007:80-89
• 
  [c11]
  Zhiwen Yu,Shaohong Zhang,Hau-San Wong,Jiqi Zhang:
  A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram.MLDM2007:643-652
• 2006
• 
  [c10]
  Zhiwen Yu,Hau-San Wong:
  Fast Gaussian Mixture Clustering for Skin Detection.ICIP2006:2997-3000
• 
  [c9]
  Zhiwen Yu,Hau-San Wong:
  GPCD: Grid-based Predictive Collision Detection for Large-scale Environments in Computer Games.ICME2006:1025-1028
• 
  [c8]
  Zhiwen Yu,Hau-San Wong:
  FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA.ICME2006:1913-1916
• 
  [c7]
  Zhiwen Yu,Hau-San Wong:
  An efficient local clustering approach for simplification of 3D point-based computer graphics models.ICME2006:2065-2068
• 
  [c6]
  Zhiwen Yu,Hau-San Wong:
  GCA: A real-time grid-based clustering algorithm for large data set.ICPR (2)2006:740-743
• 
  [c5]
  Zhiwen Yu,Hau-San Wong:
  Genetic-based K-means algorithm for selection of feature variables.ICPR (2)2006:744-747
• 
  [c4]
  Zhiwen Yu,Hau-San Wong:
  Mining Uncertain Data in Low-dimensional Subspace.ICPR (2)2006:748-751
• 
  [c3]
  Zhiwen Yu,Hau-San Wong:
  Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM.IJCNN2006:4013-4020
• 
  [c2]
  Jiqi Zhang,Hau-San Wong,Zhiwen Yu:
  3D model metrieval based on volumetric extended gaussian image and hierarchical self organizing map.ACM Multimedia2006:121-124
• 
  [c1]
  Zhiwen Yu,Hau-San Wong:
  Improving the selectivity of range query for image databases based on a probabilistic framework.SMC2006:4326-4330