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ORCIDJun Liu 0003
Person information
- affiliation: Infinia ML Inc., Durham, NC, USA
- affiliation: SAS Institute Inc., Cary, NC, USA
- affiliation: Siemens Corporate Research, Princeton, NJ, USA
- affiliation: Arizona State University, Tempe, AZ, USA
- affiliation: Nanjing University of Aeronautics and Astronautics, Nanjing, China
Other persons with the same name
- Jun Liu — disambiguation page
- Jun Liu 0001
![[0000-0001-8859-5405]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8859-5405")
— University of Ulster, Jordanstown, UK (and 3 more) - Jun Liu 0002 — Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China (and 1 more)
- Jun Liu 0004 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 3 more)
- Jun Liu 0005 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China (and 2 more)
- Jun Liu 0006 — Beihang University, School of Electronic and Information Engineering, Beijing, China (and 4 more)
- Jun Liu 0007 — City University of Hong Kong, Department of Mechanical Engineering, Hong Kong (and 1 more)
- Jun Liu 0008 — Pennsylvania State University, University Park, PA, USA
- Jun Liu 0009 — University of Alabama, Tuscaloosa, AL, USA (and 1 more)
- Jun Liu 0010 — Guangzhou University of Chinese Medicine, Guangzhou, China
- Jun Liu 0011 — Wuhan University of Science and Technology, Wuhan, China (and 1 more)
- Jun Liu 0012 — Northeast Normal University, School of Mathematics and Statistics, Changchun, China (and 1 more)
- Jun Liu 0013 — University of North Dakota, Grand Forks, ND, USA (and 1 more)
- Jun Liu 0014 — Beijing University of Posts and Telecommunications, Center for Data Science, Beijing, China
- Jun Liu 0015 — University of Waterloo, Canada (and 2 more)
- Jun Liu 0016 — Tsinghua University, Institute of Human Factos and Ergonomics, Beijing, China
- Jun Liu 0017 — Singapore Management University, Singapore (and 1 more)
- Jun Liu 0018 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Jun Liu 0019 — Quijing Normal University, College of Mathematics and Information Science, Quijing, China
- Jun Liu 0020 — Nanyang Technological University, Singapore
- Jun Liu 0021 — Guangxi University, Nanning, China
- Jun Liu 0022 — Iowa State University, Ames, IA, USA
- Jun Liu 0023 — University of Bremen, Germany
- Jun Liu 0024 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Jun Liu 0025 — Jackson State University, Jackson, MS, USA (and 1 more)
- Jun Liu 0026 — Hangzhou Dianzi University, College of Automation, Hangzhou, China (and 1 more)
- Jun Liu 0027 — Hangzhou Dianzi University, Key Laboratory of RF Circuits and Systems, Hangzhou, China (and 1 more)
- Jun Liu 0028 — Dakota State University, Madison, SD, USA
- Jun Liu 0029 — Beijing Normal University, School of Mathematical Sciences, MoE Laboratory of Mathematics and Complex Systems, China
- Jun Liu 0030 — Guangdong Polytechnic Normal University, School of Automation, Guangzhou, China (and 1 more)
- Jun Liu 0031 — Chinese Academy of Railway Sciences, Beijing, China (and 1 more)
- Jun Liu 0032 — Dakota State University, College of Business and Information Systems, Madison, SD, USA (and 2 more)
- Jun Liu 0033 — Northeastern University, Shenyang, China
- Jun Liu 0034 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Jun Liu 0035 — Tsinghua University, Beijing, China (and 1 more)
- Jun Liu 0036 — Singapore University of Technology and Design (and 2 more)
- Jun Liu 0037 — Columbia University, Department of Psychiatry, New York, NY, USA
- Jun Liu 0038 — Linear Technology, Milpitas, CA, USA (and 1 more)
- Jun Liu 0039 — Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, Wuhan, China
- Jun Liu 0040 — Naval Aeronautical and Astronautical University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0041 — Southwest University, School of Engineering and Technology, Chongqing, China
- Jun Liu 0042 — Chongqing University, Key Laboratory of Optoelectronics Technology and Systems / College of Optoelectronic Engineering, China
- Jun Liu 0043 — Ohio State University, Department of Biomedical Engineering, Columbus, OH, USA
- Jun Liu 0044 — Chongqing University of Posts and Telecommunications, College of Software Engineering, China (and 1 more)
- Jun Liu 0045 — Technical University of Berlin, Germany
- Jun Liu 0046 — Chengdu University of Information Technology, School of Control Engineering, China (and 1 more)
- Jun Liu 0047 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Jun Liu 0048 — National University of Defense Technology, College of Meteorology and Oceanology, Changsha, China
- Jun Liu 0049 — Nanjing University of Information Science & Technology, School of Computer & Software / Jiangsu Engineering Center of Network Monitoring, China
- Jun Liu 0050 — Naval Aviation University, Research Institute of Information Fusion, Yantai, China
- Jun Liu 0051 — Chongqing University of Posts and Telecommunications, Department of Optoelectronics Engineering, China
- Jun Liu 0052 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Jun Liu 0053 — Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China (and 1 more)
- Jun Liu 0054 — University of Birmingham, School of Metallurgy and Materials, Birmingham, UK
- Jun Liu 0055 — Qingdao Agricultural University, Qingdao, China (and 1 more)
- Jun Liu 0056 — Beijing Foreign Studies University, International Business School, Beijing, China
- Jun Liu 0057 — Jiangxi University of Finance and Economics, School of Statistics, Nanchang, China
- Jun Liu 0058 — Xi'an University of Technology, College of Automation, Xi'an, China
- Jun Liu 0059 — Chinese Academy of Sciences, Computer Network and Information Center, Beijing, China
- Jun Liu 0060 — Virginia Tech, Blacksburg, VA, USA
- Jun Liu 0061 — Beijing Jiaotong University, School of Traffic and Transportation, Beijing, China
- Jun Liu 0062 — University of Copenhagen, Denmark
- Jun Liu 0063 — Peking University, School of Electronics Engineering and Computer Science, Center for Energy-Efficient Computing and Applications, Beijing, China
- Jun Liu 0064 — China University of Petroleum, College of Science, Qingdao, China (and 1 more)
- Jun Liu 0065 — Qujing Normal University, Institute of Applied Mathematics, China
- Jun Liu 0066 — Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China
- Jun Liu 0067 — Northeastern University, School of Sciences, Shenyang, China
- Jun Liu 0069 — Nanyang Technological University, Singapore
- Jun Liu 0070 — Hefei University of Technology, School of Computer and Information, China
- Jun Liu 0071 — University of Macau, Zhuhai, Macau
- Jun Liu 0072 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, LIESMARS, China
- Jun Liu 0073 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Hubei, China
- Jun Liu 0074 — University of New South Wales, Sydney, NSW, Australia
- Jun Liu 0075 — Central South University, Department of Radiology Quality Control Center, Second Xiangya Hospital, Changsha, China
Other persons with a similar name
- Aijun Liu (aka: Ai-Jun Liu) — disambiguation page
- Jun S. Liu — Harvard University, Department of Statistics, Cambridge, MA, USA (and 1 more)
- Junbo Liu (aka: Jun-Bo Liu) — disambiguation page
- Junjie Liu (aka: Jun-Jie Liu) — disambiguation page
- Shu-Jun Liu
- Wenjun Liu (aka: Wen-Jun Liu) — disambiguation page
- Xin-Jun Liu (aka: Xinjun Liu) — disambiguation page
- Yanjun Liu (aka: Yan-Jun Liu, Yan-jun Liu, Yan Jun Liu) — disambiguation page
- Yongjun Liu (aka: Yong-Jun Liu) — disambiguation page
- Yan-Jun Liu 0003 (aka: Yanjun Liu 0003) — Liaoning University of Technology, College of Science, Jinzhou, China (and 2 more)
- show all similar names
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2020 – today
- 2024
[i12]Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu:
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding. CoRR abs/2402.18476 (2024)- 2022
- [c38]Patrick Koch, Brett Wujek, Jun Liu, Jun Huan, Tao Wang:
The Sixth International Workshop on Automation in Machine Learning. KDD 2022: 4880-4881 - 2021
- [c37]Tao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai Li:
The Fifth International Workshop on Automation in Machine Learning. KDD 2021: 4163-4164 - [i11]Lei Wang, Jun Liu, Piotr Koniusz:
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve. CoRR abs/2112.12668 (2021) - 2020
- [c36]Taoxing Pan, Jun Liu, Jie Wang:
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems. AAAI 2020: 1619-1626
2010 – 2019
- 2019
- [i10]Taoxing Pan, Jun Liu, Jie Wang:
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems. CoRR abs/1911.12665 (2019) - 2017
- [j20]Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha:
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250: 1-15 (2017) - [j19]Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen:
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans. Biomed. Eng. 64(1): 238-249 (2017) - 2016
- [c35]Jun Liu, Zheng Zhao, Ruiwen Zhang, Yan Xu:
Successive Ray Refinement and Its Application to Coordinate Descent for Lasso. IDEAL 2016: 310-320 - [c34]Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye:
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. KDD 2016: 1955-1964 - 2015
- [i9]Jun Liu, Zheng Zhao, Ruiwen Zhang:
Successive Ray Refinement and Its Application to Coordinate Descent for LASSO. CoRR abs/1512.05808 (2015) - 2014
- [c33]Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye:
Safe Screening with Variational Inequalities and Its Application to Lasso. ICML 2014: 289-297 - [c32]Zheng Zhao, Jun Liu, James Cox:
Safe and efficient screening for sparse support vector machine. KDD 2014: 542-551 - [c31]Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye:
A Safe Screening Rule for Sparse Logistic Regression. NIPS 2014: 1053-1061 - [c30]Zheng Zhao, Jun Liu, James Cox:
Accelerating Model Selection with Safe Screening for L 1-Regularized L 2-SVM. ECML/PKDD (3) 2014: 385-400 - 2013
- [j18]Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye:
Modeling disease progression via multi-task learning. NeuroImage 78: 233-248 (2013) - [j17]Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye:
A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1025-1038 (2013) - [j16]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2104-2116 (2013) - [j15]Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang:
An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Trans. Cybern. 43(1): 371-384 (2013) - [c29]Qiu Wang, Jun Liu, Nirmal Janardhanan, Michael O. Zenge, Edgar Mueller, Mariappan S. Nadar:
Tight frame learning for cardiovascular MRI. ISBI 2013: 290-293 - [i8]Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye:
A Safe Screening Rule for Sparse Logistic Regression. CoRR abs/1307.4145 (2013) - [i7]Jie Wang, Jun Liu, Jieping Ye:
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods. CoRR abs/1307.4156 (2013) - [i6]Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye:
Safe Screening With Variational Inequalities and Its Applicaiton to LASSO. CoRR abs/1307.7577 (2013) - [i5]Zheng Zhao, Jun Liu:
Safe and Efficient Screening For Sparse Support Vector Machine. CoRR abs/1310.8320 (2013) - 2012
- [j14]Ji Liu, Jun Liu, Peter Wonka, Jieping Ye:
Sparse non-negative tensor factorization using columnwise coordinate descent. Pattern Recognit. 45(1): 649-656 (2012) - [j13]Jieping Ye, Jun Liu:
Sparse methods for biomedical data. SIGKDD Explor. 14(1): 4-15 (2012) - [c28]Junbin Gao, Manoranjan Paul, Jun Liu:
The Image Matting Method with Regularized Matte. ICME 2012: 550-555 - [c27]Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber:
Improved Nystrom Low-rank Decomposition with Priors. ICML 2012 - [c26]Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He:
Accelerated singular value thresholding for matrix completion. KDD 2012: 298-306 - [c25]Shuiwang Ji, Wenlu Zhang, Jun Liu:
A sparsity-inducing formulation for evolutionary co-clustering. KDD 2012: 334-342 - [c24]Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye:
Modeling disease progression via fused sparse group lasso. KDD 2012: 1095-1103 - [c23]Daoqiang Zhang, Jun Liu, Dinggang Shen:
Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis. MICCAI (3) 2012: 264-271 - [i4]Jun Liu, Shuiwang Ji, Jieping Ye:
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization. CoRR abs/1205.2631 (2012) - [i3]Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber, Fabian Moerchen:
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method. CoRR abs/1206.4619 (2012) - 2011
- [c22]Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye:
A multi-task learning formulation for predicting disease progression. KDD 2011: 814-822 - [c21]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. NIPS 2011: 352-360 - [c20]Jun Liu, Liang Sun, Jieping Ye:
Projection onto A Nonnegative Max-Heap. NIPS 2011: 487-495 - 2010
- [j12]Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
Generalized low-rank approximations of matrices revisited. IEEE Trans. Neural Networks 21(4): 621-632 (2010) - [c19]Xiaoyang Tan, Yi Li, Jun Liu, Lin Jiang:
Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model. ECCV (6) 2010: 504-517 - [c18]Jun Liu, Lei Yuan, Jieping Ye:
An efficient algorithm for a class of fused lasso problems. KDD 2010: 323-332 - [c17]Jun Liu, Jieping Ye:
Moreau-Yosida Regularization for Grouped Tree Structure Learning. NIPS 2010: 1459-1467 - [c16]Han Liu, Jian Zhang, Xiaoye Jiang, Jun Liu:
The Group Dantzig Selector. AISTATS 2010: 461-468 - [i2]Jun Liu, Jieping Ye:
Fast Overlapping Group Lasso. CoRR abs/1009.0306 (2010) - [i1]Jun Liu, Jieping Ye:
Efficient L1/Lq Norm Regularization. CoRR abs/1009.4766 (2010)
2000 – 2009
- 2009
- [j11]Yulian Zhu, Jun Liu, Songcan Chen:
Semi-random subspace method for face recognition. Image Vis. Comput. 27(9): 1358-1370 (2009) - [j10]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu:
Face recognition under occlusions and variant expressions with partial similarity. IEEE Trans. Inf. Forensics Secur. 4(2): 217-230 (2009) - [c15]Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu:
Robust faces manifold modeling: Most expressive Vs. most Sparse criterion. ICCV Workshops 2009: 139-146 - [c14]Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye:
A convex formulation for learning shared structures from multiple tasks. ICML 2009: 137-144 - [c13]Jun Liu, Jieping Ye:
Efficient Euclidean projections in linear time. ICML 2009: 657-664 - [c12]Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye:
Learning the Optimal Neighborhood Kernel for Classification. IJCAI 2009: 1144-1149 - [c11]Jun Liu, Jianhui Chen, Jieping Ye:
Large-scale sparse logistic regression. KDD 2009: 547-556 - [c10]Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye:
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. KDD 2009: 1335-1344 - [c9]Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye:
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. NIPS 2009: 808-816 - [c8]Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye:
Efficient Recovery of Jointly Sparse Vectors. NIPS 2009: 1812-1820 - [c7]Jun Liu, Shuiwang Ji, Jieping Ye:
Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization. UAI 2009: 339-348 - 2008
- [j9]Jun Liu, Songcan Chen, Xiaoyang Tan:
A study on three linear discriminant analysis based methods in small sample size problem. Pattern Recognit. 41(1): 102-116 (2008) - [j8]Jun Liu, Songcan Chen, Xiaoyang Tan:
Fractional order singular value decomposition representation for face recognition. Pattern Recognit. 41(1): 378-395 (2008) - [j7]Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang:
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. IEEE Trans. Neural Networks 19(5): 758-769 (2008) - 2007
- [j6]Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1265-1278 (2007) - [j5]Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". IEEE Trans. Neural Networks 18(6): 1862-1864 (2007) - [c6]Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
Single Image Subspace for Face Recognition. AMFG 2007: 205-219 - 2006
- [j4]Xiaoyang Tan, Jun Liu, Songcan Chen:
Sub-intrapersonal space analysis for face recognition. Neurocomputing 69(13-15): 1796-1801 (2006) - [j3]Jun Liu, Songcan Chen:
Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem. Image Vis. Comput. 24(3): 249-262 (2006) - [j2]Jun Liu, Songcan Chen:
Non-iterative generalized low rank approximation of matrices. Pattern Recognit. Lett. 27(9): 1002-1008 (2006) - [c5]Xiaoyang Tan, Jun Liu, Songcan Chen:
Recognition from a Single Sample per Person with Multiple SOM Fusion. ISNN (2) 2006: 128-133 - 2005
- [c4]Jun Liu, Songcan Chen:
Resampling LDA/QR and PCA+LDA for Face Recognition. Australian Conference on Artificial Intelligence 2005: 1221-1224 - [c3]Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang:
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image. IDEAL 2005: 351-358 - [c2]Daoqiang Zhang, Songcan Chen, Jun Liu:
Representing Image Matrices: Eigenimages Versus Eigenvectors. ISNN (2) 2005: 659-664 - 2004
- [j1]Songcan Chen, Jun Liu, Zhi-Hua Zhou:
Making FLDA applicable to face recognition with one sample per person. Pattern Recognit. 37(7): 1553-1555 (2004) - [c1]Jun Liu, Songcan Chen, Zhi-Hua Zhou:
Progressive Principal Component Analysis. ISNN (1) 2004: 768-773
Coauthor Index
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