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ORCIDZheng Wang 0037
Person information
- affiliation: Northwestern Polytechnical University, School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an, China
Other persons with the same name
- Zheng Wang — disambiguation page
- Zheng Wang 0001
![[0000-0001-6157-0662]](/https://anthro-https-dblp.org/img/orcid-mark.12x12.png "0000-0001-6157-0662")
— University of Leeds, Intelligent Systems Software Lab, Leeds, UK (and 1 more) - Zheng Wang 0002 — University of Hong Kong, Department of Mechanical Engineering, Hong Kong (and 3 more)
- Zheng Wang 0003 (aka: Zheng Joyce Wang) — Ohio State University, School of Communication, Center for Cognitive and Brain Sciences, Columbus, OH, USA
- Zheng Wang 0004 — Drexel University, Philadelphia, PA, USA
- Zheng Wang 0005 — Beijing Institute of Control Engineering, Beijing, China (and 1 more)
- Zheng Wang 0006 — University of California, Santa Cruz, CA, USA
- Zheng Wang 0007 — Wuhan University, China (and 3 more)
- Zheng Wang 0008 — Tianjin University, School of Software Engineering, China
- Zheng Wang 0009 — University of Toronto, Department of Electrical & Computer Engineering, Toronto, Canada (and 2 more)
- Zheng Wang 0010 — DiDi AI Labs, Beijing, China (and 1 more)
- Zheng Wang 0011 — University of Michigan, Ann Arbor, MI, USA (and 1 more)
- Zheng Wang 0012 — Seagate Technology LLC, Longmont, CO, USA (and 1 more)
- Zheng Wang 0013 — Southeast University, National Mobile Communications Research Laboratory and the School of Information Science and Engineering, Nanjing, China (and 3 more)
- Zheng Wang 0014 — University of California, Irvine, CA, USA
- Zheng Wang 0015 — The University of Manchester, UK
- Zheng Wang 0016 — Chinese Academy of Sciences, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, China
- Zheng Wang 0019 — University of Missouri-Columbia, USA
- Zheng Wang 0020 — Nanyang Technological University, Singapore
- Zheng Wang 0021 — Southeast University, School of Automation, Nanjing, China
- Zheng Wang 0022 — Azanda Network, Sunnyvale, CA, USA
- Zheng Wang 0023 — University of Bath, UK
- Zheng Wang 0024 — Honeywell Technology Solution Lab, Shanghai, China
- Zheng Wang 0025 — University of Southern Mississippi, USA
- Zheng Wang 0026 — University College London, UK
- Zheng Wang 0027 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Center for Automotive Electronics, China (and 1 more)
- Zheng Wang 0028 — Arizona State University, Tempe, AZ, USA
- Zheng Wang 0029 — Southeast University, School of Electrical Engineering, Nanjing, China (and 2 more)
- Zheng Wang 0030 — Beijing University of Aeronautics and Astronautics, LMIB / School of Mathematics and Systems Science, China
- Zheng Wang 0031 — Dalian University of Technology, School of Software, China
- Zheng Wang 0032 — Zhejiang University, School of Mathematical Sciences, Hangzhou, China
- Zheng Wang 0033 — Northwestern Polytechnical University, School of Astronautics / National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China
- Zheng Wang 0034 — National Institute of Standards and Technology, Gaithersburg, MD, USA (and 1 more)
- Zheng Wang 0035 — University of Western Ontario, Department of Medical Biophysics, London, Canada
- Zheng Wang 0036 — IMEC, INTEC, Ghent, Belgium (and 1 more)
- Zheng Wang 0038 — Newcastle University, School of Engineering, Newcastle upon Tyne, UK
- Zheng Wang 0039 — University of Tokyo, Institute of Industrial Science, Japan
- Zheng Wang 0040 — University of Sydney, School of Information Technologies, Australia
- Zheng Wang 0041 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Zheng Wang 0042 — University of Utah, School of Computing, Salt Lake City, UT, USA
- Zheng Wang 0043 — University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia (and 1 more)
- Zheng Wang 0044 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Center for Future Media, Chengdu, China (and 1 more)
- Zheng Wang 0045 — University of Macau, State Key Laboratory of Internet of Things for Smart City, Macao, China (and 2 more)
- Zheng Wang 0046 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Zheng Wang 0047 — Hunan First Normal University, Information Science and Engineering School, Changsha, China (and 1 more)
- Zheng Wang 0048 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
- Zheng Wang 0049 — University of Miami, Department of Computer Science, Coral Gables, FL, USA
- Zheng Wang 0050 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
- Zheng Wang 0051 — Xi'an University of Science and Technology, College of Electrical and Control Engineering, Xi'an, China
- Zheng Wang 0052 — Huazhong University of Science and Technology, Tongji Medical College, Union Hospital, Research Center for Tissue Engineering and Regenerative Medicine, Wuhan, China
- Zheng Wang 0053 — Chongqing Chemical Industry Vocational College, Chongqing, China
- Zheng Wang 0054 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Zheng Wang 0055 — Jiangnan University, School of Design, Wuxi, China
- Zheng Wang 0056 — Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, State Key Laboratory of Desert and Oasis Ecology, Urumqi, China (and 1 more)
- Zheng Wang 0057 — Linyi University, Research Center for Big Data and Artificial Intelligence, Linyi, China (and 1 more)
- Zheng Wang 0058 — Beijing Huahang Radio Measurement Research Institute, Beijing, China
- Zheng Wang 0059 — Fudan University, School of Computer Science, Shanghai Key Lab of Intelligent Information Processing, Shanghai, China (and 1 more)
- Zheng Wang 0060 — Qingdao University of Technology, School of Mechanical and Automotive Engineering, Qingdao, China
- Zheng Wang 0061 — Open University of China, Faculty of Science and Engineering, Beijing, China (and 2 more)
- Zheng Wang 0062 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 1 more)
- Zheng Wang 0063 — Capital Medical University, Beijing Tiantan Hospital, Department of Neurosurgery, Beijing, China
- Zheng Wang 0064 — China University of Mining and Technology-Beijing, School of Geosciences and Surveying Engineering, Beijing, China
- Zheng Wang 0065 — Xijing University, School of Information Engineering, Xi'an, China
- Zheng Wang 0066 — Taiyuan University of Technology, School of Information and Computer, Jinzhong, China
- Zheng Wang 0068 — Sun Yat-sen University, Guangdong Key Laboratory of Information Security Technology, Guangzhou, China
- Zheng Wang 0069 — Central South University, Xiangya Hospital, Department of Geriatrics, Changsha, China
- Zheng Wang 0070 — Henan Academy of Science, Institute of Geographical Science, Zhengzhou, China (and 1 more)
- Zheng Wang 0071 — Guizhou University, School of Mechanical Engineering, State Key Laboratory of Public Big Data, Guiyang, China
- Zheng Wang 0072 — Shanghai Jiaotong University, Affiliated Sixth People's Hospital, Shanghai, China (and 1 more)
- Zheng Wang 0073 — Beijing Institute of Technology, School of Computer Science and Technology, Key Laboratory of Intelligent Information Technology, Beijing, China
- Zheng Wang 0074 — University of Exeter, UK
- Zheng Wang 0075 — University of California, San Diego, CA, USA (and 1 more)
- Zheng Wang 0076 — Xiamen University, School of Informatics, Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen, China
- Zheng Wang 0077 — Xiamen University, School of Informatics, Xiamen, China
- Zheng Wang 0078 — Stanford University, Stanford, CA, USA
- Zheng Wang 0079 — Northwest University, School of Information Science and Technology, Xi'an, China
Other persons with a similar name
- Ming-Zheng Wang (aka: Mingzheng Wang)
- Shen-Zheng Wang
- Sheng-Zheng Wang (aka: Shengzheng Wang)
- Yu-Zheng Wang
- Zheng-Wu Wang (aka: Zhengwu Wang)
- Zhengguang Wang (aka: Zheng-guang Wang) — disambiguation page
- Zhengqiang Wang (aka: Zheng-qiang Wang) — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 2 more)
- Zhengxin Wang (aka: Zheng-Xin Wang) — disambiguation page
- Zhongzheng Wang (aka: Zhong-Zheng Wang) — disambiguation page
- Wang Zheng — disambiguation page
- show all similar names
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2020 – today
- 2026
[j59]Jie Wang, Yongjin Yuan, Ziang Niu, Lingyi Kong, Zheng Wang, Rong Wang, Feiping Nie:
Group-wise attentive enhancements for unsupervised feature selection. Knowl. Based Syst. 340: 115640 (2026)- [j58]Jie Wang, Zheng Wang, Yu Guo, Rong Wang, Fei Wang, Feiping Nie:
Improve noise tolerance of robust feature selection via block-sparse projection learning. Pattern Recognit. 170: 112028 (2026) - [j57]Jie Wang, Ziang Niu, Zheng Wang, Liaoyuan Tang, Bo Yan, Rong Wang, Feiping Nie:
Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels. Pattern Recognit. 171: 112298 (2026) - [j56]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Zhensheng Sun, Xuelong Li:
Max-Min Robust Unsupervised Feature Selection via Sparse Subspace. IEEE Trans. Cybern. 56(5): 2611-2624 (2026) - [j55]Guanxiong He, Zheng Wang, Liaoyuan Tang, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie:
Explaining Neural Networks: Hierarchical Backpropagated Ensemble Learning. IEEE Trans. Neural Networks Learn. Syst. 37(4): 1752-1765 (2026) - [c13]Xianglong Jin, Zheng Wang, Rong Wang, Feiping Nie:
Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding. AAAI 2026: 5530-5538 - [c12]Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie:
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning. AAAI 2026: 21610-21618 - [c11]Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie:
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework. AAAI 2026: 21619-21627 - [c10]Lingyi Kong, Zhuo Liu, Zhanghao Hu, Qilong Qiu, Yutao Yang, Jingjing Xue, Zheng Wang, Lin Gui, Feiping Nie:
OSCR-Attack: One-Shot Character Level Attacks through Self-Optimizing Continuous Relaxation. ACL (Findings) 2026: 24668-24683 - 2025
- [j54]Bo Xu, Guoxu Li, Jie Wang, Zheng Wang, Jianfu Cao, Rong Wang, Feiping Nie:
Dynamic T-distributed stochastic neighbor graph convolutional networks for multi-modal contrastive fusion. Neurocomputing 652: 130950 (2025) - [j53]Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie:
A novel linear discriminant analysis based on alternate ratio sum minimization. Inf. Sci. 689: 121444 (2025) - [j52]Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie:
Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. IEEE Trans. Circuits Syst. Video Technol. 35(3): 2616-2631 (2025) - [j51]Runxin Zhang, Xia Wu, Huimin Chen, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie:
Toward Balance Adaptive Weighted Ensemble Clustering. IEEE Trans. Circuits Syst. Video Technol. 35(6): 5279-5292 (2025) - [j50]Jie Wang, Junti Wang, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li:
Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - [j49]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Data Subdivision Based Dual-Weighted Robust Principal Component Analysis. IEEE Trans. Image Process. 34: 1271-1284 (2025) - [j48]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fuzzy Weighted Principal Component Analysis for Anomaly Detection. ACM Trans. Knowl. Discov. Data 19(3): 63:1-63:22 (2025) - [j47]Zihua Zhao, Danyang Wu, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li:
Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning. IEEE Trans. Knowl. Data Eng. 37(8): 4649-4663 (2025) - [j46]Guanxiong He, Zheng Wang, Liaoyuan Tang, Weizhong Yu, Feiping Nie, Xuelong Li:
Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework. IEEE Trans. Neural Networks Learn. Syst. 36(7): 11953-11965 (2025) - [j45]Zheng Wang, Jiaxi Xie, Rong Wang, Feiping Nie, Xuelong Li:
Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 36(7): 11966-11976 (2025) - [c9]Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie:
Language Pre-training Guided Masking Representation Learning for Time Series Classification. AAAI 2025: 12631-12639 - [c8]Xianglong Jin, Zheng Wang, Wenjie Zheng, Feiping Nie:
Point-DMAE: Point Cloud Self-supervised Learning via Density-directed Masked Autoencoders. CIKM 2025: 1231-1238 - [c7]Jie Wang, Liaoyuan Tang, Guanxiong He, Zhe Cao, Zheng Wang, Rong Wang:
Self-Supervised Localized Topology Consistency for Noise-Robust Hyperspectral Image Classification. ICASSP 2025: 1-5 - 2024
- [j44]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98]. Neurocomputing 601: 128189 (2024) - [j43]Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu:
T-distributed Stochastic Neighbor Network for unsupervised representation learning. Neural Networks 179: 106520 (2024) - [j42]Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 641-658 (2024) - [j41]Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie:
Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction. Pattern Recognit. 146: 110062 (2024) - [j40]Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu:
Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognit. 147: 110082 (2024) - [j39]Yinuo Wang, Yu Guo, Zheng Wang, Fei Wang:
Joint learning of latent subspace and structured graph for multi-view clustering. Pattern Recognit. 154: 110592 (2024) - [j38]Zhenxin He, Guoxu Li, Zheng Wang, Guanxiong He, Hao Yan, Rong Wang:
Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association. Remote. Sens. 16(21): 4084 (2024) - [j37]Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li:
Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Trans. Cybern. 54(4): 2420-2433 (2024) - [j36]Zheng Wang, Qi Li, Feiping Nie, Rong Wang, Fei Wang, Xuelong Li:
Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph. IEEE Trans. Cybern. 54(8): 4527-4538 (2024) - [j35]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. IEEE Trans. Knowl. Data Eng. 36(3): 1234-1248 (2024) - [j34]Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li:
An Balanced, and Scalable Graph-Based Multiview Clustering Method. IEEE Trans. Knowl. Data Eng. 36(12): 7643-7656 (2024) - [j33]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Robust Principal Component Analysis via Joint Reconstruction and Projection. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7175-7189 (2024) - [j32]Zheng Wang, Dongming Wu, Rong Wang, Feiping Nie, Fei Wang:
Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7974-7987 (2024) - [j31]Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie, Fei Wang:
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13354-13367 (2024) - [j30]Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li:
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17650-17661 (2024) - [j29]Hebing Nie, Qi Li, Zheng Wang, Haifeng Zhao, Feiping Nie:
Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18105-18119 (2024) - [j28]Zheng Wang, Yongjin Yuan, Rong Wang, Feiping Nie, Qinghua Huang, Xuelong Li:
Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18605-18619 (2024) - [j27]Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang:
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18784-18798 (2024) - [c6]Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li:
Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints. ICASSP 2024: 3585-3589 - [c5]Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang:
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning. ICASSP 2024: 6340-6344 - [c4]Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie:
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. IJCAI 2024: 4955-4963 - 2023
- [j26]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Max-Min Robust Principal Component Analysis. Neurocomputing 521: 89-98 (2023) - [j25]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Sparse robust subspace learning via boolean weight. Inf. Fusion 96: 224-236 (2023) - [j24]Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie:
Fast spectral clustering with self-adapted bipartite graph learning. Inf. Sci. 644: 118810 (2023) - [j23]Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie:
Fuzzy C-Multiple-Means Clustering for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j22]Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie:
Simultaneous local clustering and unsupervised feature selection via strong space constraint. Pattern Recognit. 142: 109718 (2023) - [j21]Rong Wang, Canyu Zhang, Jintang Bian, Zheng Wang, Feiping Nie, Xuelong Li:
Sparse and Flexible Projections for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 35(6): 6362-6375 (2023) - [j20]Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li:
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. IEEE Trans. Multim. 25: 3534-3545 (2023) - [j19]Feiping Nie, Sisi Wang, Zheng Wang, Rong Wang, Xuelong Li:
Discrete Robust Principal Component Analysis via Binary Weights Self-Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9064-9077 (2023) - [j18]Feiping Nie, Canyu Zhang, Zheng Wang, Rong Wang, Xuelong Li:
Local Embedding Learning via Landmark-Based Dynamic Connections. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9481-9492 (2023) - [c3]Yongjin Yuan, Zheng Wang, Feiping Nie, Xuelong Li:
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint. ICASSP 2023: 1-5 - 2022
- [j17]Haifeng Zhao, Qi Li, Zheng Wang, Feiping Nie:
Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection. Cogn. Comput. 14(3): 1211-1221 (2022) - [j16]Zheng Wang, Haojie Hu, Rong Wang, Qianrong Zhang, Feiping Nie, Xuelong Li:
Capped ℓp-norm linear discriminant analysis for robust projections learning. Neurocomputing 511: 399-409 (2022) - [j15]Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Self-weighted learning framework for adaptive locality discriminant analysis. Pattern Recognit. 129: 108778 (2022) - [j14]Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li:
Subspace Sparse Discriminative Feature Selection. IEEE Trans. Cybern. 52(6): 4221-4233 (2022) - [j13]Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 34(10): 4609-4621 (2022) - [i3]Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen:
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges. CoRR abs/2204.04859 (2022) - 2021
- [j12]Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fast local representation learning via adaptive anchor graph for image retrieval. Inf. Sci. 578: 870-886 (2021) - [j11]Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li:
Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2086-2100 (2021) - [j10]Zheng Wang, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li:
Local structured feature learning with dynamic maximum entropy graph. Pattern Recognit. 111: 107673 (2021) - [j9]Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Joint nonlinear feature selection and continuous values regression network. Pattern Recognit. Lett. 150: 197-206 (2021) - [c2]Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fast Local Representation Learning with Adaptive Anchor Graph. ICASSP 2021: 3170-3174 - 2020
- [j8]Haifeng Zhao, Bowen Zhang, Zheng Wang, Feiping Nie:
Multiclass discriminant analysis via adaptive weighted scheme. Neurocomputing 381: 1-9 (2020) - [j7]Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Capped ℓp-Norm LDA for Outliers Robust Dimension Reduction. IEEE Signal Process. Lett. 27: 1315-1319 (2020) - [j6]Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph. IEEE Trans. Cybern. 50(8): 3682-3695 (2020) - [j5]Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li:
Adaptive Local Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data 14(1): 9:1-9:19 (2020) - [c1]Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. IJCAI 2020: 3009-3015 - [i2]Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou:
Curriculum Audiovisual Learning. CoRR abs/2001.09414 (2020)
2010 – 2019
- 2019
- [j4]Haifeng Zhao, Zheng Wang, Feiping Nie:
A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 31(4): 629-640 (2019) - [i1]Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR abs/1907.00211 (2019) - 2018
- [j3]Haifeng Zhao, Zheng Wang, Feiping Nie:
Adaptive Neighborhood MinMax Projections. Neurocomputing 313: 155-166 (2018) - [j2]Haifeng Zhao, Siqi Wang, Zheng Wang:
Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin. Neural Comput. 30(10) (2018) - 2016
- [j1]Haifeng Zhao, Zheng Wang, Feiping Nie:
Orthogonal least squares regression for feature extraction. Neurocomputing 216: 200-207 (2016)
Coauthor Index
[j59] [j58] [j57] [j56] [j55] [c13] [c12] [c11] [c10] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [c9] [c8] [j44] [j43] [j42] [j41] [j40] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [c6] [c5] [c4] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [c3] [j17] [j16] [j15] [j14] [j13] [i3] [j12] [j11] [j10] [j9] [c2] [j8] [j7] [j6] [j5] [c1] [i2] [j4] [i1] [j3] [j1]
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