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ORCIDJun Huang 0003
Person information
- affiliation: University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China
- affiliation (former): Anhui University of Technology, School of Computer Science and Technology, Maanshan, China
Other persons with the same name
- Jun Huang — disambiguation page
- Jun Huang 0001
![[0000-0002-6862-4122]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6862-4122")
— Peking University, School of EECS, Center for Energy-Efficient Computing and Applications, China (and 1 more) - Jun Huang 0002 — Northwestern Polytechnical University, School of Cybersecurity, Xian, China (and 3 more)
- Jun Huang 0004 — Jiangsu University, National Research Center of Pumps, Research Center of Fluid Machinery Engineering and Technology, Zhenjiang, China (and 1 more)
- Jun Huang 0005 — China Academy of Engineering Physics, Institute of Electronic Engineering, Minayang, China (and 1 more)
- Jun Huang 0006 — Soochow University, School of Mechanical and Electrical Engineering, Suzhou, China
- Jun Huang 0007 — Alibaba Group, Hangzhou, China
- Jun Huang 0008 — Wuhan University, Electronic Information School, Wuhan, China
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2020 – today
- 2024
[j20]Xiwen Qu, Jun Huang, Zekai Cheng:
Discriminative dictionary learning for nonnegative representation based classification. Expert Syst. Appl. 251: 123998 (2024)- [j19]Jun Huang, Dian Wang, Xudong Hong, Xiwen Qu, Wei Xue:
Cross-modality semantic guidance for multi-label image classification. Intell. Data Anal. 28(3): 633-646 (2024) - [j18]Xiwen Qu, Zhihong Wu, Jun Huang:
End-to-end attention convolutional recurrent network for online handwritten Chinese text recognition. Multim. Tools Appl. 83(23): 62541-62558 (2024) - [j17]Xiaobin Zhao, Jun Huang, Yunquan Gao, Qingwang Wang:
Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13936-13948 (2024) - 2023
- [j16]Qianqian Cheng, Jun Huang, Huiyi Zhang, Sibao Chen, Xiao Zheng:
Improving multi-label learning by modeling Local label and feature correlations. Intell. Data Anal. 27(2): 379-398 (2023) - [j15]Xiwen Qu, Hao Che, Jun Huang, Linchuan Xu, Xiao Zheng:
Multi-layered semantic representation network for multi-label image classification. Int. J. Mach. Learn. Cybern. 14(10): 3427-3435 (2023) - [j14]Tao Tao, Siwen Li, Jun Huang, Shudong Hou, Huajun Gong:
A Symmetry Histogram Publishing Method Based on Differential Privacy. Symmetry 15(5): 1099 (2023) - [c10]Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng:
Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System. ASE 2023: 66-78 - [c9]Zhihong Wu, Xiwen Qu, Jun Huang, Xuangou Wu:
In-Air Handwritten Chinese Text Recognition with Attention Convolutional Recurrent Network. MMM (2) 2023: 695-707 - [i4]Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng:
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System. CoRR abs/2310.04701 (2023) - 2022
- [j13]Xiuyan Hao, Jun Huang, Feng Qin, Xiao Zheng:
Multi-label learning with missing features and labels and its application to text categorization. Intell. Syst. Appl. 14: 200086 (2022) - [j12]Lei Feng, Jun Huang, Senlin Shu, Bo An:
Regularized Matrix Factorization for Multilabel Learning With Missing Labels. IEEE Trans. Cybern. 52(5): 3710-3721 (2022) - [c8]Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang:
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. IEEE Big Data 2022: 1172-1181 - [c7]Jun Huang, Yu Yan, Xiao Zheng, Xiwen Qu, Xudong Hong:
Discovering Unknown Labels for Multi-Label Image Classification. ICDM (Workshops) 2022: 797-806 - [c6]Minghong Ye, Xiwen Qu, Jun Huang, Xuangou Wu:
In-air Handwriting System Based on Improved YOLOv5 algorithm and Monocular Camera. ICTAI 2022: 949-954 - 2021
- [j11]Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi:
Multi-label learning with missing and completely unobserved labels. Data Min. Knowl. Discov. 35(3): 1061-1086 (2021) - [i3]Xiwen Qu, Hao Che, Jun Huang, Linchuan Xu, Xiao Zheng:
Multi-layered Semantic Representation Network for Multi-label Image Classification. CoRR abs/2106.11596 (2021) - 2020
- [j10]Jun Huang, Pingzhao Zhang, Huiyi Zhang, Guorong Li, Haowei Rui:
Multi-Label Learning via Feature and Label Space Dimension Reduction. IEEE Access 8: 20289-20303 (2020) - [j9]Jun Huang, Haowei Rui, Guorong Li, Xiwen Qu, Tao Tao, Xiao Zheng:
Multi-Label Learning With Hidden Labels. IEEE Access 8: 29667-29676 (2020) - [c5]Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi:
Discovering Latent Class Labels for Multi-Label Learning. IJCAI 2020: 3058-3064 - [i2]Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li:
Incorporating Multiple Cluster Centers for Multi-Label Learning. CoRR abs/2004.08113 (2020) - [i1]Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi:
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. CoRR abs/2007.15897 (2020)
2010 – 2019
- 2019
- [j8]Jun Huang, Xiwen Qu, Guorong Li, Feng Qin, Xiao Zheng, Qingming Huang:
Multi-View Multi-Label Learning With View-Label-Specific Features. IEEE Access 7: 100979-100992 (2019) - [j7]Li Huang, Xiao Zheng, Shuai Ding, Zhi Liu, Jun Huang:
Enhancing the Performance of Cuckoo Search Algorithm with Multi-Learning Strategies. IEICE Trans. Inf. Syst. 102-D(10): 1916-1924 (2019) - [j6]Jun Huang, Feng Qin, Xiao Zheng, Zekai Cheng, Zhixiang Yuan, Weigang Zhang, Qingming Huang:
Improving multi-label classification with missing labels by learning label-specific features. Inf. Sci. 492: 124-146 (2019) - [j5]Zhe Xue, Guorong Li, Shuhui Wang, Jun Huang, Weigang Zhang, Qingming Huang:
Beyond global fusion: A group-aware fusion approach for multi-view image clustering. Inf. Sci. 493: 176-191 (2019) - 2018
- [j4]Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Joint Feature Selection and Classification for Multilabel Learning. IEEE Trans. Cybern. 48(3): 876-889 (2018) - [c4]Jun Huang, Feng Qin, Xiao Zheng, Zekai Cheng, Zhixiang Yuan, Weigang Zhang:
Learning Label-Specific Features for Multi-Label Classification with Missing Labels. BigMM 2018: 1-5 - 2017
- [j3]Jun Huang, Guorong Li, Shuhui Wang, Zhe Xue, Qingming Huang:
Multi-label classification by exploiting local positive and negative pairwise label correlation. Neurocomputing 257: 164-174 (2017) - 2016
- [j2]Guorong Li, Bingpeng Ma, Jun Huang, Qingming Huang, Weigang Zhang:
Beyond appearance model: Learning appearance variations for object tracking. Neurocomputing 214: 796-804 (2016) - [j1]Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28(12): 3309-3323 (2016) - 2015
- [c3]Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Learning Label Specific Features for Multi-label Classification. ICDM 2015: 181-190 - [c2]Jun Huang, Guorong Li, Shuhui Wang, Weigang Zhang, Qingming Huang:
Group sensitive Classifier Chains for multi-label classification. ICME 2015: 1-6 - 2014
- [c1]Jun Huang, Guorong Li, Shuhui Wang, Qingming Huang:
Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation. ICDM Workshops 2014: 913-920
Coauthor Index
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