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ORCIDZhiwen Yu 0002
Person information
- affiliation: South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- affiliation (PhD 2008): City University of Hong Kong, Hong Kong
Other persons with the same name
- Zhiwen Yu — disambiguation page
- Zhiwen Yu 0001
![[0000-0002-9905-3238]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9905-3238")
— Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 4 more)
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Journal Articles
- 2024
[j118]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)- [j117]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. Sinica 11(11): 2204-2219 (2024) - [j116]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) - [j115]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) - [j114]Mianfen Lin, Kaixiang Yang, Zhiwen Yu, Yifan Shi, C. L. Philip Chen:
Hybrid Ensemble Broad Learning System for Network Intrusion Detection. IEEE Trans. Ind. Informatics 20(4): 5622-5633 (2024) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [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) - 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. Informatics 19(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) - 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) - 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. Medicine 118: 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) - 2020
- [j71]Xuexian Chen, Si Wu, Zhiwen Yu:
Self-Enhanced R-CNNs for Human Detection With Semi-Supervised Assumptions. IEEE Access 8: 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 Access 8: 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 Access 8: 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) - 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) - 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 Access 6: 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) - 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 Access 5: 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) - 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. Neurocomputing 194: 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) - 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 Informatics 18(2): 500-507 (2014) - 2013
- [j19]Haisheng Li, Guihua Wen, Zhiwen Yu, Tiangang Zhou:
Random subspace evidence classifier. Neurocomputing 110: 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) - 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. Neurocomputing 97: 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) - 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) - 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 B 40(6): 1582-1595 (2010) - 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)
Conference and Workshop Papers
- 2024
- [c78]Sihang Liu, Wenming Cao, Ruigang Fu, Kaixiang Yang, Zhiwen Yu:
RPSC: Robust Pseudo-Labeling for Semantic Clustering. AAAI 2024: 14008-14016 - [c77]Zhijie Zhong, Zhiwen Yu, Jiahui Chen, Kaixiang Yang:
Insightful Simplicity: Dissimilarity in Time Series Anomaly Detection. ACM TUR-C 2024 - 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. CVPR 2023: 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. CVPR 2023: 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. IJCNN 2023: 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
- [c71]Xiaoyang Huo, Guangchang Deng, Si Wu, Zhiwen Yu, Peng Li:
Semi-Supervised Generative Learning with Extended Distribution Matching for Class-Conditional Image Synthesis. ICME 2022: 1-6 - 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. CVPR 2021: 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. ICME 2021: 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. ICME 2021: 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. IJCNN 2021: 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. IJCNN 2021: 1-9 - 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. CVPR 2020: 5719-5728 - 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. AAAI 2019: 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. CVPR 2019: 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. CVPR 2019: 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. ISKE 2019: 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. ISKE 2019: 1234-1240 - 2018
- [c59]Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang:
Multiple Co-clusterings. ICDM 2018: 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. ISNN 2018: 647-655 - 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. CEC 2017: 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. CEC 2017: 1223-1230 - [c55]Yingying Qu, Zhiwen Yu, Hao Cong, Tianyong Hao:
Pedagogical Principle Based E-learning Exploration: A Case of Construction Mediation Training. SETE@ICWL 2017: 539-547 - [c54]Jieyan Chen, Farrikh Alzami, Zhiwen Yu, Zhi-Hui Zhan, Qinmin Yang:
Sort subspace clustering ensemble framework based on the latent model. SMC 2017: 2390-2395 - 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. CEC 2016: 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. CEC 2016: 4090-4095 - [c51]Zhiwen Yu, Guoqiang Han, Le Li, Jiming Liu, Jun Zhang:
Adaptive noise immune cluster ensemble using affinity propagation. ICDE 2016: 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. ICDE 2016: 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 - 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. ICPR 2014: 178-183 - 2013
- [c46]Daxing Wang, Le Li, Zhiwen Yu, Xiaowei Wang:
A P2CE: Double aff in ity propagation based cluster ensemble. ICMLC 2013: 16-23 - 2012
- [c45]Guo-Xian Yu, Guoji Zhang, Huzefa Rangwala, Carlotta Domeniconi, Zhiwen Yu:
Protein function prediction using weak-label learning. BCB 2012: 202-209 - [c44]Zhiwen Yu, Jane You, Hantao Chen, Le Li, Xiaowei Wang:
Tumor clustering based on hybrid cluster ensemble framework. ICCH 2012: 95-101 - [c43]Zhiwen Yu, Jane You, Guoqiang Han, Le Li, Xiaowei Wang:
Fast normalized cut algorithm based on self-organizing map. ICMLC 2012: 1376-1382 - [c42]Zhiwen Yu, Le Li, Daxing Wang, Jane You, Guoqiang Han, Hantao Chen:
Structure ensemble based on fuzzy c-means. ICMLC 2012: 1383-1389 - [c41]Zhiwen Yu, Xiaowei Wang, Jane You, Guoqiang Han, Le Li:
Representative Multi-Label Bayesian Approach for image classification. ICMLC 2012: 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/AIE 2012: 351-360 - [c39]Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu:
Transductive multi-label ensemble classification for protein function prediction. KDD 2012: 1077-1085 - 2011
- [c38]Zhiwen Yu, Jane You, Guihua Wen:
Neural gas based cluster ensemble algorithm and its application to cancer data. ICMLC 2011: 15-20 - [c37]Zhiwen Yu, Jane You, Guihua Wen:
PSEFminer: A new probabilistic subspace ensemble framework for cancer microarray data analysis. ICMLC 2011: 21-26 - [c36]Guo-Xian Yu, Zhiwen Yu, Jing Hua, Xuan Li, Jane You:
Sparse representation based spectral regression. ICMLC 2011: 532-537 - [c35]Le Li, Zhiwen Yu, Zijian Feng, Xiaohang Zhang:
Automatic classification of uncertain data by soft classifier. ICMLC 2011: 679-684 - [c34]Guihua Wen, Jia Wei, Zhiwen Yu, Jun Wen, Lijun Jiang:
Relative nearest neighbors for classification. ICMLC 2011: 773-778 - [c33]Le Li, Xiaohang Zhang, Zhiwen Yu, Zijian Feng, Ruiping Wei:
USOM: Mining and visualizing uncertain data based on self-organizing maps. ICMLC 2011: 804-809 - [c32]Jianming Lv, Zhiwen Yu, Tieying Zhang:
iDetect: An immunity based algorithm to detect harmful content shared in Peer-to-Peer networks. ICMLC 2011: 926-931 - [c31]Zhiwen Yu, Jane You, Guihua Wen:
Penalty-based cluster validity index for class discovery from cancer data. ICMLC 2011: 1577-1582 - 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. PCM 2009: 898-907 - 2008
- [c28]Zhiwen Yu, Zhongkai Deng, Hau-San Wong:
K-Nearest Neighbor Classifier Ensemble for Prediction of Phosphorylation Sites. BIOCOMP 2008: 713-717 - [c27]Zhiwen Yu, Dingwen Wang, Hau-San Wong:
Knowledge learning based evolutionary algorithm for unconstrained optimization problem. IEEE Congress on Evolutionary Computation 2008: 572-579 - [c26]Zhiwen Yu, Dingwen Wang, Hau-San Wong:
Nearest neighbor evolutionary algorithm for constrained optimization problem. IEEE Congress on Evolutionary Computation 2008: 2335-2342 - [c25]Xing Wang, Zhiwen Yu, Hau-San Wong:
3D motion sequence retrieval based on data distribution. ICME 2008: 1229-1232 - [c24]Xing Wang, Zhiwen Yu, Hau-San Wong:
Searching of motion database based on hierarchical SOM. ICME 2008: 1233-1236 - [c23]Zhiwen Yu, Hau-San Wong:
Image classification based on the bagging-adaboost ensemble. ICME 2008: 1481-1484 - [c22]Zhiwen Yu, Zhongkai Deng, Hau-San Wong:
Identification of phosphorylation sites using a hybrid classifier ensemble approach. ICPR 2008: 1-4 - [c21]Zhiwen Yu, Hau-San Wong:
Knowledge based cluster ensemble for 3D head model classification. ICPR 2008: 1-4 - [c20]Zhiwen Yu, Xing Wang, Hau-San Wong:
Ensemble based 3D human motion classification. IJCNN 2008: 505-509 - [c19]Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang:
Fuzzy cluster ensemble and its application on 3D head model classification. IJCNN 2008: 569-576 - [c18]Zhiwen Yu, Xing Wang, Hau-San Wong, Zhongkai Deng:
Pattern mining based on local distribution. IJCNN 2008: 584-588 - [c17]Zhiwen Yu, Zhongkai Deng, Hau-San Wong, Xing Wang:
Knowledge based Cluster Ensemble. IJCNN 2008: 589-594 - 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. ICME 2007: 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 Posters 2007: 70-79 - [c12]Zhiwen Yu, Shaohong Zhang, Jiqi Zhang, Hau-San Wong:
3D Head Model Classification based on Cluster Ensemble. MLDM Posters 2007: 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. MLDM 2007: 643-652 - 2006
- [c10]Zhiwen Yu, Hau-San Wong:
Fast Gaussian Mixture Clustering for Skin Detection. ICIP 2006: 2997-3000 - [c9]Zhiwen Yu, Hau-San Wong:
GPCD: Grid-based Predictive Collision Detection for Large-scale Environments in Computer Games. ICME 2006: 1025-1028 - [c8]Zhiwen Yu, Hau-San Wong:
FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA. ICME 2006: 1913-1916 - [c7]Zhiwen Yu, Hau-San Wong:
An efficient local clustering approach for simplification of 3D point-based computer graphics models. ICME 2006: 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. IJCNN 2006: 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 Multimedia 2006: 121-124 - [c1]Zhiwen Yu, Hau-San Wong:
Improving the selectivity of range query for image databases based on a probabilistic framework. SMC 2006: 4326-4330
Informal and Other Publications
- 2024
- [i4]Zhijie Zhong, Zhiwen Yu, Yiyuan Yang, Weizheng Wang, Kaixiang Yang:
PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection. CoRR abs/2401.09793 (2024) - [i3]Zhijie Zhong, Zhiwen Yu, Xing Xi, Yue Xu, Jiahui Chen, Kaixiang Yang:
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection. CoRR abs/2405.11238 (2024) - 2019
- [i2]Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Wenming Cao, Zhiwen Yu:
Inner-Imaging Convolutional Networks. CoRR abs/1904.12639 (2019) - 2018
- [i1]Dan Dai, Zhiwen Yu, Yang Hu, Wenming Cao, Mingnan Luo:
Metabolize Neural Network. CoRR abs/1809.00837 (2018)
Coauthor Index
[j107] [j106] [j96] [j92] [j91] [j90] [j85] [j84] [j83] [j82] [j81] [j79] [j76] [j73] [j70] [j66] [j65] [j64] [j62] [j61] [j60] [j58] [j57] [j56] [j55] [j54] [j52] [j51] [j50] [j49] [j44] [j43] [j42] [j38] [j36] [j32] [j26] [j25] [j22] [j21] [j15] [j14] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c76] [c75] [c70] [c69] [c68] [c65] [c64] [c63] [c62] [c50] [c49] [c47] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Jane You
aka: Jane Jia You
aka: Jane Jia You
Guoxian Yu
aka: Guo-Xian Yu
aka: Guo-Xian Yu
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