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ORCIDJun Li 0027
Person information
- affiliation: Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- affiliation (former): Nanjing University of Science and Technology, School of Computer Science and Technology, China
Other persons with the same name
- Jun Li — disambiguation page
- Jun Li 0001
![[0000-0002-5308-5672]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5308-5672")
— University of Oregon, Eugene, OR, USA (and 1 more) - Jun Li 0002 — Chinese Academy of Sciences, Computer Network Information Center, Beijing, China (and 1 more)
- Jun Li 0003 — Tsinghua University, RIIT / TNList, Beijing, China
- Jun Li 0004 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China (and 4 more)
- Jun Li 0005 — Institute for Infocomm Research, Singapore (and 1 more)
- Jun Li 0006 — Communications Research Centre Canada
- Jun Li 0007 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China (and 1 more)
- Jun Li 0008 — HP Laboratories, Palo Alto
- Jun Li 0009 — Sun Yat-sen University, School of Geography and Planning, Guangzhou, China (and 2 more)
- Jun Li 0010 — University of Technology Sydney, Centre for Quantum Computation and Intelligent Systems / Faculty of Engineering and Information Technology, Ultimo, NSW, Australia (and 1 more)
- Jun Li 0011 — Southeast University, School of Automation, Nanjing, China (and 3 more)
- Jun Li 0012 — China West Normal University, School of Mathematics and Information, Nanchong, China
- Jun Li 0013 — Department of Land Economy, University of Cambridge
- Jun Li 0014 — Communication University of China, School of Science, Beijing, China
- Jun Li 0015 — CAS Research Center on Fictitious Economy & Data Science
- Jun Li 0016 — CAS Research Center on Fictitious Economy & Data Science
- Jun Li 0017 — University of Toronto, Department of Electrical and Computer Engineering, ON, Canada (and 1 more)
- Jun Li 0018 — Nanjing University of Technology, College of Automation, China
- Jun Li 0019 — Nanjing University of Posts and Telecommunication
- Jun Li 0020 — National University of Defense Technology, Changsha, China
- Jun Li 0021 — China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China (and 1 more)
- Jun Li 0022 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Jun Li 0023 — University of California Riverside, Department of Statistics, CA, USA (and 1 more)
- Jun Li 0024 — University of California, San Diego
- Jun Li 0025 — University of Hertfordshire, UK
- Jun Li 0026 — University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, USA
- Jun Li 0028 — Huawei Technologies Co., Ltd., Qingshuihe, Shenzhen, China
- Jun Li 0030 — Kansas State University, Department of Chemistry, Manhattan, KS, USA (and 1 more)
- Jun Li 0032 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Jun Li 0033 — Southeast University, School of Automation, Nanjing, China (and 1 more)
- Jun Li 0034 — Rutgers University, WINLAD, New Brunswick, NJ, USA
- Jun Li 0035 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China (and 2 more)
- Jun Li 0036 — Guangzhou University, School of Mechanical and Electrical Engineering, China (and 1 more)
- Jun Li 0037 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China
- Jun Li 0038 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Jun Li 0039 — China Electronics Technology Group Corporation, Second Research Institute, Taiyuan, China
- Jun Li 0040 — Nanjing University, Collaborative Innovation Center of Advanced Microstructures, School of Physics, National Laboratory of Solid State Microstructures, China
- Jun Li 0041 — Philips Research North America, Cambridge, MA, USA
- Jun Li 0042 — University of Bonn, Germany (and 1 more)
- Jun Li 0043 — LMU Munich, Germany
- Jun Li 0045 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Jun Li 0046 — Jiangsu Yitong High-tech Co., Ltd., China
- Jun Li 0047 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Jun Li 0048 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jun Li 0049 — University of Michigan, Ross School of Business, Ann Arbor, MI, USA (and 1 more)
- Jun Li 0050 — China Industrial Control Systems Cyber Emergency Response Team, Informatization Standard Research Division, Beijing, China (and 1 more)
- Jun Li 0051 — City University of Hong Kong, Department of Infectious Diseases and Public Health, Hong Kong (and 2 more)
- Jun Li 0052 — University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Jun Li 0053 — Curtin University, Department of Civil Engineering, Perth, WA, USA (and 1 more)
- Jun Li 0054 — Lanzhou University of Technology, School of Science, China
- Jun Li 0055 — Tsinghua University, Department of Chemistry, Beijing, China (and 3 more)
- Jun Li 0056 — Wuhan University of Technology, School of Logistics Engineering, China
- Jun Li 0057 — University of Science and Technology of China, Laboratory for Future Networks, Hefei, China
- Jun Li 0058 — University of Science and Technology of China, School of Management, Hefei, China
- Jun Li 0059 — KTH Royal Institute of Technology, Optical Networks Laboratory, Stockholm, Sweden
- Jun Li 0060 — Xinxiang Medical University, Modern Educational Technology Center, China
- Jun Li 0061 — Wenzhou University, School of Mathematical and Electronic Information Engineering, China
- Jun Li 0062 — Southwest University, College of Computer and Information Science, Chongqing, China
- Jun Li 0063 — Guilin University of Electronic Technology, School of Information and Communication, China
- Jun Li 0064 — Shanghai Maritime University, Institute of Logistics Science & Engineering, China
- Jun Li 0065 — Nanjing University of Information Science and Technology, Binjiang College, Wuxi, China
- Jun Li 0066 — University of Arizona Tucson, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Jun Li 0067 — Wuhan University of Science and Technology, School of Computer Science and Technology, China (and 1 more)
- Jun Li 0068 — University of Texas, MD Anderson Cancer Center, Houston, TX, USA (and 1 more)
- Jun Li 0069 — Chang'an University, School of Geological Engineering and Geomatics, Xi'an, China
- Jun Li 0070 — Chongqing University of Posts and Telecommunications, School of Computer Science and Technology, China
- Jun Li 0071 — Hunan University, Changsha, China
- Jun Li 0072 — Beihang University, State Key Lab of Software Development Environment, Beijing, China
- Jun Li 0073 — Tianjin Normal University, School of Mathematics, China
- Jun Li 0074 — Qilu University of Technology (Shandong Academy of Sciences), School of Electrical Engineering and Automation, Jinan, China (and 1 more)
- Jun Li 0075 — Sun Yat-sen University, School of Intelligent Systems Engineering, Guangzhou, China (and 1 more)
- Jun Li 0076 — Beijing Information Science and Technology University, China (and 1 more)
- Jun Li 0077 — Hubei Minzu University, School of Information Engineering, Enshi, China
- Jun Li 0078 — Ningbo University of Technology, School of Electronic and Information Engineering, China (and 1 more)
- Jun Li 0079 — Wuhan University, School of Electrical Engineering and Automation, China (and 1 more)
- Jun Li 0080 — South China Normal University, School of Physics and Telecommunication Engineering, Guangzhou, China
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2020 – today
- 2020
[j12]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27: 1545-1549 (2020)- [c16]Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu:
Lifelong Spectral Clustering. AAAI 2020: 5867-5874 - [i8]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR abs/2006.13457 (2020)
2010 – 2019
- 2019
- [j11]Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, Yun Fu:
Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying. IEEE Trans. Image Process. 28(5): 2331-2341 (2019) - [j10]Qinqin Zhou, Bineng Zhong, Yulun Zhang, Jun Li, Yun Fu:
Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning. IEEE Trans. Multim. 21(5): 1183-1194 (2019) - [c15]Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. ICCV 2019: 8241-8250 - [c14]Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu:
Adversarial Graph Embedding for Ensemble Clustering. IJCAI 2019: 3562-3568 - [i7]Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. CoRR abs/1909.04412 (2019) - [i6]Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu:
Lifelong Spectral Clustering. CoRR abs/1911.11908 (2019) - 2018
- [j9]Yue Wu, Hongfu Liu, Jun Li, Yun Fu:
Improving face representation learning with center invariant loss. Image Vis. Comput. 79: 123-132 (2018) - [j8]Jun Li, Heyou Chang, Jian Yang, Wei Luo, Yun Fu:
Visual Representation and Classification by Learning Group Sparse Deep Stacking Network. IEEE Trans. Image Process. 27(1): 464-476 (2018) - [j7]Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang:
Convolutional Sparse Autoencoders for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3289-3294 (2018) - [c13]Jun Li, Hongfu Liu, Yun Fu:
Predictive Coding Machine for Compressed Sensing and Image Denoising. AAAI 2018: 3506-3513 - [c12]Gan Sun, Yang Cong, Jun Li, Yun Fu:
Robust Lifelong Multi-task Multi-view Representation Learning. ICBK 2018: 91-98 - [i5]Hongfu Liu, Jun Li, Yue Wu, Yun Fu:
Clustering with Outlier Removal. CoRR abs/1801.01899 (2018) - [i4]Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu:
Predictive Local Smoothness for Stochastic Gradient Methods. CoRR abs/1805.09386 (2018) - 2017
- [j6]Yu Kong, Zhengming Ding, Jun Li, Yun Fu:
Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Trans. Image Process. 26(6): 3028-3037 (2017) - [j5]Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang:
Sparseness Analysis in the Pretraining of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1425-1438 (2017) - [c11]Jun Li, Yu Kong, Yun Fu:
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. AAAI 2017: 2189-2195 - [c10]Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu:
Large-scale Subspace Clustering by Fast Regression Coding. IJCAI 2017: 2138-2144 - [c9]Jun Li, Hongfu Liu, Handong Zhao, Yun Fu:
Projective Low-rank Subspace Clustering via Learning Deep Encoder. IJCAI 2017: 2145-2151 - [c8]Yue Wu, Hongfu Liu, Jun Li, Yun Fu:
Deep Face Recognition with Center Invariant Loss. ACM Multimedia (Thematic Workshops) 2017: 408-414 - [i3]Jun Li, Hongfu Liu, Yue Wu, Yun Fu:
Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks. CoRR abs/1709.05528 (2017) - 2016
- [j4]Jun Li, Yu Kong, Handong Zhao, Jian Yang, Yun Fu:
Learning Fast Low-Rank Projection for Image Classification. IEEE Trans. Image Process. 25(10): 4803-4814 (2016) - [c7]Lingzheng Dai, Jundi Ding, Jinhui Chen, Jun Li, Jian Yang:
Object segmentation using low-rank representation with multiple block-diagonal priors. ICPR 2016: 1959-1964 - [c6]Haiyi Mao, Yue Wu, Jun Li, Yun Fu:
Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network. ACM Multimedia 2016: 322-326 - [c5]Yue Wu, Jun Li, Yu Kong, Yun Fu:
Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition. ACM Multimedia 2016: 1063-1067 - 2015
- [j3]Wei Luo, Jian Yang, Wei Xu, Jun Li, Jian Zhang:
Higher-level feature combination via multiple kernel learning for image classification. Neurocomputing 167: 209-217 (2015) - [c4]Jun Li, Heyou Chang, Jian Yang:
Sparse Deep Stacking Network for Image Classification. AAAI 2015: 3804-3810 - [c3]Wei Luo, Jun Li, Wei Xu, Jian Yang:
Learning Sparse Features in Convolutional Neural Networks for Image Classification. IScIDE (1) 2015: 29-38 - [i2]Jun Li, Heyou Chang, Jian Yang:
Sparse Deep Stacking Network for Image Classification. CoRR abs/1501.00777 (2015) - 2014
- [j2]Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu:
Continuous attractors of higher-order recurrent neural networks with infinite neurons. Neurocomputing 131: 388-396 (2014) - [c2]Jun Li, Heyou Chang, Jian Yang:
Learning discriminative low-rank representation for image classification. IJCNN 2014: 313-318 - 2013
- [i1]Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan:
Why does the unsupervised pretraining encourage moderate-sparseness? CoRR abs/1312.5813 (2013) - 2012
- [j1]Jun Li, Jian Yang, Weigen Wu:
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix. Neurocomputing 82: 52-61 (2012) - [c1]Jun Li, Jian Yang, Yongfeng Diao:
Continuous attractors of recurrent neural networks with complex-valued weights. IJCNN 2012: 1-8
Coauthor Index
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