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Li Wang 0033

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affiliation: University of Texas at Arlington, Department of Mathematics, TX, USA
affiliation (2015-2017): University of Illinois at Chicago, Department of Mathematics, Statistics and Computer Science, IL, USA
affiliation (PhD 2014): University of California San Diego, Department of Mathematics, La Jolla, CA, USA

Other persons with the same name

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Li Wang — disambiguation page
Li Wang 0001 — State University of New York at Buffalo, Department of Mathematics, NY, USA
Li Wang 0002 — Université de Sherbrooke, Sherbrooke, Québec, Canada (and 1 more)
Li Wang 0003 — State University of New York, Department of Computer Science, Stony Brook, NY, USA
Li Wang 0004 — Phoneware Communication Systems, Burwood East, Victoria, Australia (and 1 more)
Li Wang 0005 — University of Warwick, Department of Computer Science, Coventry, UK
Li Wang 0006 — Hong Kong University, Department of Electrical & Electronic Engineering, China
Li Wang 0007 — University of Michigan, Ross School of Business, Ann Arbor, MI, USA (and 1 more)
Li Wang 0008 — University of Tennessee, School of Genome Science and Technology, Knoxville, TN, USA (and 1 more)
Li Wang 0009 — Beijing Institute of Technology, College of Computer Science and Technology, China

Li Wang 0010 — Sichuan University, School of Computer Science, ChengDu, China
Li Wang 0011 — Illinois Institute of Technology, Chicago, IL, USA
Li Wang 0012 — University of Southern California
Li Wang 0013 — University of Utah, Department of Electrical and Computer Engineering, Salt Lake City, UT, USA
Li Wang 0014 — Taiyuan University of Technology, College of Data Science, China
Li Wang 0015 — Huazhong University of Science and Technology, Wuhan, China (and 1 more)
Li Wang 0016 — ACS Sensors Lab, Honeywell, Shanghai, China
Li Wang 0017 — Shenyang Institute of Aeronautical Engineering, Department of Science, Shenyang, Liaoning, China
Li Wang 0018 — Nanjing Normal University, School of Mathematics and Computer Science, China
Li Wang 0019 — National Cheng Kung University, Department of Electrical Engineering, Tainan, Taiwan
Li Wang 0020 — University of Wisconsin-Madison, Department of Mathematics, Madison, WI, USA
Li Wang 0021 — Penn State College of Medicine, Hershey, PA, USA (and 1 more)
Li Wang 0022 — Beihang University, School of Economics and Management, Beijing, China
Li Wang 0023 — Hebei United University, College of Sciences, Tangshan, Hebei, China
Li Wang 0024 — Huawei Technologies, Stockholm, Sweden (and 1 more)
Li Wang 0025 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, Shaanxi, China
Li Wang 0026 — University of North Carolina at Chapel Hill, IDEA Lab, Department of Radiology and BRIC, NC, USA (and 1 more)
Li Wang 0027 — National University of Defense Technology (NUDT), School of Computer, ChangSha, China
Li Wang 0028 — Massey University, Albany Village, Auckland, New Zealand
Li Wang 0029 — University of Kentucky
Li Wang 0030 — Shanxi University, Institute of Environmental Science, Taiyuan, China
Li Wang 0031 — Chinese Academy of Sciences, Institute of Psychology, Beijing, China
Li Wang 0032 — Beijing Jiaotong University, School of Traffic and Transportation, China
Li Wang 0034 — North China University of Technology, Beijing Key Lab of Urban Intelligent Traffic Control Technology, Beijing, China
Li Wang 0035 (aka: Lily Wang 0002) — Iowa State University, Department of Statistics, Ames, IA, USA (and 2 more)
Li Wang 0036 — State University of New York at Buffalo, Department of Mathematics, NY, USA (and 2 more)
Li Wang 0037 — South China Normal University, Academy of South China Advanced Optoelectronics, Institute of Electronic Paper Displays, Guangzhou, China
Li Wang 0038 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
Li Wang 0039 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 3 more)
Li Wang 0040 — China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
Li Wang 0041 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China (and 2 more)
Li Wang 0042 — Tsinghua University, Research Institute of Information Technology, Beijing, China
Li Wang 0043 — Tianjin University of Technology, Key Laboratory of Intelligence Computing and Novel Software Technology / Key Laboratory of Computer Vision and System, China
Li Wang 0044 — Chinese Academy of Sciences, Institute of Polity and Management, Beijing, China
Li Wang 0045 — Northwestern Polytechnical University, China (and 2 more)
Li Wang 0046 — Université Grenoble Alpes, France
Li Wang 0047 — University of Paris-Saclay, France
Li Wang 0048 — National University of Defense Technology, College of Electronic Science, Changsha, China
Li Wang 0049 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
Li Wang 0050 — Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
Li Wang 0051 — Tianjin University, School of Computer Software, China (and 2 more)
Li Wang 0052 — Capital Normal University, School of Mathematical Sciences, Beijing, China
Li Wang 0053 — Nanjing University of Aeronautics and Astronautics, Department of Electrical Engineering, China
Li Wang 0054 — Northwestern Polytechnical University, School of Electronics and Information, International Center for Information Acquisition & Processing, Xi'an, China
Li Wang 0055 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more)
Li Wang 0056 — Ant Financial Services Group, Hangzhou, China
Li Wang 0057 — A*STAR, Institute for Infocomm Research (I2R), Singapore (and 1 more)
Li Wang 0058 — Skyworks Solutions, Newbury Park, CA, USA (and 1 more)
Li Wang 0059 — University of Macau, Faculty of Science and Technology, Macau
Li Wang 0060 — Jiangsu University, Department of Automotive and Traffic Engineering, Zhenjiang, China
Li Wang 0061 — University of Texas Southwestern Medical Center, Dallas, TX, USA (and 1 more)
Li Wang 0062 — China University of Mining and Technology (Beijing), School of Science, China
Li Wang 0063 — Beijing Institute of Technology, School of Automation, China
Li Wang 0064 — Liaoning Technical University, School of Electronic and Information Engineering, Huludao, China
Li Wang 0065 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
Li Wang 0066 — East China Normal University, Faculty of Economics and Management, Shanghai, China
Li Wang 0067 — Guangzhou University, School of Mechanical and Electrical Engineering, China (and 1 more)
Li Wang 0068 — Beijing Technology and Business University, School of Computer and Information Engineering, China (and 1 more)
Li Wang 0069 — Guangdong Power Grid Ltd., Guangzhou Power Supply Bureau, China
Li Wang 0070 — Hubei Normal University, College of Mechatronics and Control Engineering, Huangshi, China
Li Wang 0071 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
Li Wang 0072 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
Li Wang 0073 — Nanjing University of Posts and Telecommunications, School of Computer Science, China
Li Wang 0074 — National Research Center for Rehabilitation Technical Aids, Beijing, China
Li Wang 0075 — Anhui University of Science and Technology, School of Computer Science and Engineering, Huainan, China
Li Wang 0076 — Hunan University of Science and Technology, School of Mathematics and Computational Science, Xiangtan, China
Li Wang 0077 — Nantong University, Medical School, Department of Medical Informatics, China (and 2 more)
Li Wang 0078 — Zhengzhou University, Henan Provincial People's Hospital, Department of Gynecology and Obstetrics, China
Li Wang 0079 — Shandong University, School of Mechanical Engineering, Jinan, China
Li Wang 0080 — Army Medical University (Third Military Medical University), Chongqing, China
Li Wang 0081 — Guangdong Academy of Sciences, Guangzhou Institute of Geography, China
Li Wang 0082 — Massachusetts Institute of Technology, Operations Research Center, Cambridge, MA, USA
Li Wang 0083 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
Li Wang 0084 — Southwest Medical University, Affiliated Hospital, Department of Nuclear Medicine, Luzhou, China
Li Wang 0085 — Open University of China, College of Computer Science, Beijing, China
Li Wang 0086 — Sun Yat-sen University, Department of Applied Mechanics and Engineering, Guangzhou, China
Li Wang 0087 — Shenyang Aerospace University, College of Science, China
Li Wang 0088 — Liaoning Normal University, Dalian, China
Li Wang 0089 — Xinjiang University, College of Mathematics and System Sciences, Urumqi, China
Li Wang 0090 — Xi'an Jiaotong University, School of Automation, Faculty of Electronic and Information, China
Li Wang 0091 — Xi'an Jiaotong University, School of Electrical Engineering, China
Li Wang 0092 — Tsinghua University, School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Beijing, China
Li Wang 0093 — Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more)
Li Wang 0094 — Xidian University, School of Electronic Engineering, MoE Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Xi'an, China
Li Wang 0095 — Wuhan University, School of Electronic Information, China (and 1 more)
Li Wang 0096 — Jiangsu Automation Research Institute, Lianyungang, China
Li Wang 0097 — Southwest University, College of Electronic and Information Engineering, Chongqing, China
Li Wang 0098 — Guangxi University for Nationalities, School of Artificial Intelligence, Nanning, China
Li Wang 0099 — Xihua University, School of Electrical Engineering and Electronic Information, Chengdu, China
Li Wang 0100 — Hohai University, College of Computer and Information, Nanjing, China
Li Wang 0101 — University of Minnesota, School of Mathematics, Minneapolis, MN, USA
Li Wang 0102 — Xijing University, Business School, Xi'an, China
Li Wang 0103 — Shanxi Agricultural University, College of Software, Taigu, China
Li Wang 0104 — Hebei University of Technology, School of Civil Engineering and Transportation, Tianjin, China
Li Wang 0105 — Bournemouth University, Poole, UK
Li Wang 0106 — Monash University, Australia

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2020 – today

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2024
[j36]
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Qin Li, Li Wang, Yunan Yang:
Differential Equation-Constrained Optimization with Stochasticity. SIAM/ASA J. Uncertain. Quantification 12(2): 549-578 (2024)
2023
[j35]
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Li Wang, Lei-Hong Zhang, Ren-Cang Li:
Trace ratio optimization with an application to multi-view learning. Math. Program. 201(1): 97-131 (2023)
[j34]
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Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G. Abdallah, Michael Angstadt, Christopher L. Averill, C. Lexi Baird, Lee Baugh, Jennifer Urbano Blackford, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Zhihong Cao, Kyle Choi, Josh M. Cisler, Andrew S. Cotton, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. De Bellis, Emily L. Dennis, Maria Densmore, Terri A. deRoon-Cassini, Seth G. Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Atilla Gonenc, Evan M. Gordon, Staci Gruber, Daniel W. Grupe, Jeffrey P. Guenette, Courtney C. Haswell, Ryan J. Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R. Hudson, Ashley A. Huggins, Jonathan C. Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L. Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B. J. Koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh S. Korgaonkar, John H. Krystal, Ruth A. Lanius, Christine L. Larson, Lauren A. M. Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A. Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie A. McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin O'Leary, Bunmi O. Olatunji, Miranda Olff, Matthew Peverill, K. Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry J. Ressler, Pavel Riha, Marisa Ross, Isabelle M. Rosso, Lauren E. Salminen, Kelly A. Sambrook, Christian Schmahl, Martha Elizabeth Shenton, Margaret A. Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N. Simmons, Raluca M. Simons, Jeffrey S. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Delin Sun, Jean Théberge, Paul M. Thompson, Sophia I. Thomopoulos, Nic J. A. van der Wee, Steven J. A. van der Werff, Theo G. M. van Erp, Sanne J. H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert R. J. M. Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa N. Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A. Morey:
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 283: 120412 (2023)
[j33]
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Li Wang, Ren-Cang Li, Wen-Wei Lin:
Multiview Orthonormalized Partial Least Squares: Regularizations and Deep Extensions. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4371-4385 (2023)
[j32]
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Li Wang, Haian Yin, Jin Zhang:
Density-Based Distance Preserving Graph: Theoretical and Practical Analyses. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6642-6649 (2023)
[c31]
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Shiqi Yu, Chenye Wang, Yuwei Zhao, Li Wang, Ming Wang, Qing Li, Wenlong Li, Runsheng Wang, Yongzhen Huang, Liang Wang, Yasushi Makihara, Md Atiqur Rahman Ahad:
Human Identification at a Distance: Challenges, Methods and Results on HID 2023. IJCB 2023: 1-8
[c30]
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Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue:
ImpDet: Exploring Implicit Fields for 3D Object Detection. WACV 2023: 4249-4259
[i22]
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  - journals/corr/abs-2309-10625
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Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu:
Exploring the Influence of Information Entropy Change in Learning Systems. CoRR abs/2309.10625 (2023)
2022
[j31]
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Xijun Ma, Chungen Shen, Li Wang, Lei-Hong Zhang, Ren-Cang Li:
A self-consistent-field iteration for MAXBET with an application to multi-view feature extraction. Adv. Comput. Math. 48(2): 13 (2022)
[j30]
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Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li:
Orthogonal multi-view analysis by successive approximations via eigenvectors. Neurocomputing 512: 100-116 (2022)
[j29]
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Lu Zhang, Li Wang, Dajiang Zhu, Alzheimer's Disease Neuroimaging Initiative:
Predicting brain structural network using functional connectivity. Medical Image Anal. 79: 102463 (2022)
[j28]
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  - journals/neuroimage/SunRHLBOCXTCDJS22
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Delin Sun, Gopalkumar Rakesh, Courtney C. Haswell, Mark W. Logue, C. Lexi Baird, Erin O'Leary, Andrew S. Cotton, Hong Xie, Marijo B. Tamburrino, Tian Chen, Emily L. Dennis, Neda Jahanshad, Lauren E. Salminen, Sophia I. Thomopoulos, Faisal Rashid, Christopher R. K. Ching, Saskia B. J. Koch, Jessie L. Frijling, Laura Nawijn, Mirjam van Zuiden, Xi Zhu, Benjamin Suarez-Jimenez, Anika Sierk, Henrik Walter, Antje Manthey, Jennifer S. Stevens, Negar Fani, Sanne J. H. van Rooij, Murray B. Stein, Jessica Bomyea, Inga Koerte, Kyle Choi, Steven J. A. van der Werff, Robert R. J. M. Vermeiren, Julia Herzog, Lauren A. M. Lebois, Justin T. Baker, Elizabeth A. Olson, Thomas Straube, Mayuresh S. Korgaonkar, Elpiniki Andrew, Ye Zhu, Gen Li, Jonathan Ipser, Anna R. Hudson, Matthew Peverill, Kelly A. Sambrook, Evan Gordon, Lee Baugh, Gina L. Forster, Raluca M. Simons, Jeffrey S. Simons, Vincent Magnotta, Adi Maron-Katz, Stefan du Plessis, Seth G. Disner, Nicholas D. Davenport, Daniel W. Grupe, Jack B. Nitschke, Terri A. deRoon-Cassini, Jacklynn M. Fitzgerald, John H. Krystal, Ifat Levy, Miranda Olff, Dick J. Veltman, Li Wang, Yuval Neria, Michael D. De Bellis, Tanja Jovanovic, Judith K. Daniels, Martha Shenton, Nic J. A. van der Wee, Christian Schmahl, Milissa L. Kaufman, Isabelle M. Rosso, Scott R. Sponheim, David Bernd Hofmann, Richard A. Bryant, Kelene A. Fercho, Dan J. Stein, Sven C. Mueller, Bobak Hosseini, K. Luan Phan, Katie A. McLaughlin, Richard J. Davidson, Christine L. Larson, Geoffrey May, Steven M. Nelson, Chadi G. Abdallah, Hassaan Gomaa, Amit Etkin, Zelekha A. Seedat, Ilan Harpaz-Rotem, Israel Liberzon, Theo G. M. van Erp, Yann Quidé, Xin Wang, Paul M. Thompson, Rajendra A. Morey:
A comparison of methods to harmonize cortical thickness measurements across scanners and sites. NeuroImage 261: 119509 (2022)
[j27]
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Li Wang, Lei-Hong Zhang, Ren-Cang Li:
Maximizing sum of coupled traces with applications. Numerische Mathematik 152(3): 587-629 (2022)
[j26]
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Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li:
A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 890-904 (2022)
[j25]
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Li Wang, Ren-Cang Li:
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares. IEEE Trans. Big Data 8(4): 1073-1083 (2022)
[j24]
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Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-View Learning. IEEE Trans. Big Data 8(6): 1664-1677 (2022)
[c29]
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  - conf/pkdd/WangWCZ22
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Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng:
Exploring Latent Sparse Graph for Large-Scale Semi-supervised Learning. ECML/PKDD (4) 2022: 367-383
[i21]
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  - journals/corr/abs-2203-17240
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Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue:
ImpDet: Exploring Implicit Fields for 3D Object Detection. CoRR abs/2203.17240 (2022)
2021
[j23]
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Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu:
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021)
[j22]
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Wei Wang, Qing Li, Chengyong Xiao, Dezheng Zhang, Lei Miao, Li Wang:
An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation. Sensors 21(8): 2615 (2021)
[j21]
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Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon:
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors. IEEE Trans. Medical Imaging 40(1): 321-334 (2021)
[j20]
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Yi Xue, Wenjian Qin, Chen Luo, Pengfei Yang, Yangkang Jiang, Tiffany Tsui, Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu:
Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. IEEE Trans. Medical Imaging 40(5): 1303-1318 (2021)
[j19]
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Li Wang, Raymond H. Chan, Tieyong Zeng:
Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning. IEEE Trans. Neural Networks Learn. Syst. 32(2): 853-867 (2021)
[c28]
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  - conf/cvpr/WangDYFGXFZ21
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Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang:
Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection. CVPR 2021: 454-463
[c27]
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Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue:
Progressive Coordinate Transforms for Monocular 3D Object Detection. NeurIPS 2021: 13364-13377
[i20]
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  - journals/corr/abs-2101-04292
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Li Wang, Lei-Hong Zhang, Ren-Cang Li:
Trace Ratio Optimization with an Application to Multi-view Learning. CoRR abs/2101.04292 (2021)
[i19]
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  - journals/corr/abs-2102-06847
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Lu Zhang, Li Wang, Dajiang Zhu:
Representing Alzheimer's Disease Progression via Deep Prototype Tree. CoRR abs/2102.06847 (2021)
[i18]
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Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang:
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection. CoRR abs/2103.16470 (2021)
[i17]
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Xin Liang, Li Wang, Lei-Hong Zhang, Ren-Cang Li:
On Generalizing Trace Minimization. CoRR abs/2104.00257 (2021)
[i16]
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  - journals/corr/abs-2108-05793
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Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue:
Progressive Coordinate Transforms for Monocular 3D Object Detection. CoRR abs/2108.05793 (2021)
2020
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  - journals/moc/FriedlandW20
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Shmuel Friedland, Li Wang:
Spectral norm of a symmetric tensor and its computation. Math. Comput. 89(325): 2175-2215 (2020)
[j17]
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Li Wang, Lei-Hong Zhang, Zhaojun Bai, Ren-Cang Li:
Orthogonal canonical correlation analysis and applications. Optim. Methods Softw. 35(4): 787-807 (2020)
[j16]
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Li Wang, Ren-Cang Li:
Learning Low-Dimensional Latent Graph Structures: A Density Estimation Approach. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1098-1112 (2020)
[c26]
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Lu Zhang, Li Wang, Dajiang Zhu:
Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network. ISBI 2020: 563-567
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Li Wang, Lu Zhang, Dajiang Zhu:
Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment. ISBI 2020: 1039-1043
[c24]
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Lu Zhang, Li Wang, Dajiang Zhu:
Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network. MICCAI (7) 2020: 53-61
[i15]
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  - journals/corr/abs-2005-11914
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Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-view Learning. CoRR abs/2005.11914 (2020)
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  - journals/corr/abs-2007-05028
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Li Wang, Ren-Cang Li, Wen-Wei Lin:
Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions. CoRR abs/2007.05028 (2020)
[i13]
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  - journals/corr/abs-2010-01632
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Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li:
Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors. CoRR abs/2010.01632 (2020)
[i12]
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  - journals/corr/abs-2011-11124
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Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li:
Uncorrelated Semi-paired Subspace Learning. CoRR abs/2011.11124 (2020)

2010 – 2019

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2019
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Li Wang, Qi Mao:
Probabilistic Dimensionality Reduction via Structure Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 205-219 (2019)
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Li Wang, Yongbo Li, Xiangyang Xue:
CODA: Counting Objects via Scale-Aware Adversarial Density Adaption. ICME 2019: 193-198
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Li Wang, Paul M. Thompson, Dajiang Zhu:
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning. IPMI 2019: 656-668
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Li Wang, Lu Zhang, Dajiang Zhu:
Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning. ISBI 2019: 164-168
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Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu:
A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. MLMI@MICCAI 2019: 557-565
[i11]
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  - journals/corr/abs-1903-10442
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Li Wang, Yongbo Li, Xiangyang Xue:
CODA: Counting Objects via Scale-aware Adversarial Density Adaption. CoRR abs/1903.10442 (2019)
[i10]
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  - journals/corr/abs-1906-02252
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Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon:
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior. CoRR abs/1906.02252 (2019)
[i9]
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  - journals/corr/abs-1909-11527
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Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li:
A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis. CoRR abs/1909.11527 (2019)
[i8]
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  - journals/corr/abs-1912-02233
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Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng:
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points. CoRR abs/1912.02233 (2019)
2018
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Yingbin Zheng, Hao Ye, Li Wang, Jian Pu:
Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification. IEEE Signal Process. Lett. 25(1): 30-34 (2018)
[j13]
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Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, Xiangyang Xue:
Arbitrary-Oriented Scene Text Detection via Rotation Proposals. IEEE Trans. Multim. 20(11): 3111-3122 (2018)
[c19]
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Dajiang Zhu, Li Wang:
Exploring latent structures of Alzheimer's disease via structure learning. ISBI 2018: 536-540
[i7]
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  - journals/corr/abs-1806-10040
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Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng:
Crowd Counting with Density Adaption Networks. CoRR abs/1806.10040 (2018)
2017
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Qi Mao, Li Wang, Ivor W. Tsang:
A unified probabilistic framework for robust manifold learning and embedding. Mach. Learn. 106(5): 627-650 (2017)
[j11]
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Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun:
Principal Graph and Structure Learning Based on Reversed Graph Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2227-2241 (2017)
[c18]
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Li Wang, Qi Mao, Ivor W. Tsang:
Latent Smooth Skeleton Embedding. AAAI 2017: 2703-2709
[c17]
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Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan:
On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML 2017: 545-560
[c16]
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Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang:
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 2017: 1-7
[c15]
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Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue:
Evolving boxes for fast vehicle detection. ICME 2017: 1135-1140
[i6]
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Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue:
Evolving Boxes for fast Vehicle Detection. CoRR abs/1702.00254 (2017)
[i5]
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Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, Xiangyang Xue:
Arbitrary-Oriented Scene Text Detection via Rotation Proposals. CoRR abs/1703.01086 (2017)
2016
[c14]
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Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI 2016: 2080-2086
[c13]
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Hao Ye, Weiyuan Shao, Hong Wang, Jianqi Ma, Li Wang, Yingbin Zheng, Xiangyang Xue:
Face Recognition via Active Annotation and Learning. ACM Multimedia 2016: 1058-1062
[i4]
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Li Wang:
Probabilistic Dimensionality Reduction via Structure Learning. CoRR abs/1610.04929 (2016)
2015
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Qi Mao, Ivor W. Tsang, Shenghua Gao, Li Wang:
Generalized Multiple Kernel Learning With Data-Dependent Priors. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1134-1148 (2015)
[j9]
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Mingkui Tan, Ivor W. Tsang, Li Wang:
Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary. IEEE Trans. Signal Process. 63(3): 727-741 (2015)
[j8]
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Mingkui Tan, Ivor W. Tsang, Li Wang:
Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals. IEEE Trans. Signal Process. 63(3): 742-753 (2015)
[c12]
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Qi Mao, Wei Zheng, Li Wang, Yunpeng Cai, Volker Mai, Yijun Sun:
Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis. ICDM 2015: 310-319
[c11]
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Qi Mao, Li Wang, Steve Goodison, Yijun Sun:
Dimensionality Reduction Via Graph Structure Learning. KDD 2015: 765-774
[c10]
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Qi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun:
SimplePPT: A Simple Principal Tree Algorithm. SDM 2015: 792-800
[i3]
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Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun:
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation. CoRR abs/1512.02752 (2015)
2014
[j7]
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Tuan Hue Thi, Li Wang, Ning Ye, Jian Zhang, Sebastian Maurer-Stroh, Li Cheng:
Recognizing flu-like symptoms from videos. BMC Bioinform. 15: 300 (2014)
[j6]
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Mingkui Tan, Ivor W. Tsang, Li Wang:
Towards ultrahigh dimensional feature selection for big data. J. Mach. Learn. Res. 15(1): 1371-1429 (2014)
[c9]
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Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan:
Riemannian Pursuit for Big Matrix Recovery. ICML 2014: 1539-1547
2013
[j5]
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Mingkui Tan, Ivor W. Tsang, Li Wang:
Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1609-1622 (2013)
[i2]
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Mingkui Tan, Ivor W. Tsang, Li Wang:
Is Matching Pursuit Solving Convex Problems? CoRR abs/1302.5010 (2013)
2012
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Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh:
Integrating local action elements for action analysis. Comput. Vis. Image Underst. 116(3): 378-395 (2012)
[j3]
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Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh:
Structured learning of local features for human action classification and localization. Image Vis. Comput. 30(1): 1-14 (2012)
[c8]
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Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang:
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection. AAAI 2012: 1119-1125
[i1]
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  - journals/corr/abs-1209-5260
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Mingkui Tan, Ivor W. Tsang, Li Wang:
Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation. CoRR abs/1209.5260 (2012)
2011
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Qinfeng Shi, Li Cheng, Li Wang, Alexander J. Smola:
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models. Int. J. Comput. Vis. 93(1): 22-32 (2011)
[j1]
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Li Wang, Li Cheng, Liang Wang:
Elastic Sequence Correlation for Human Action Analysis. IEEE Trans. Image Process. 20(6): 1725-1738 (2011)
2010
[c7]
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Tuan Hue Thi, Jian Zhang, Li Cheng, Li Wang, Shinichi Satoh:
Human Action Recognition and Localization in Video Using Structured Learning of Local Space-Time Features. AVSS 2010: 204-211
[c6]
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  - conf/dicta/WangCTZ10
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Li Wang, Li Cheng, Tuan Hue Thi, Jian Zhang:
Human Action Recognition from Boosted Pose Estimation. DICTA 2010: 308-313
[c5]
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Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang:
Implicit Motion-Shape Model: A generic approach for action matching. ICIP 2010: 1477-1480
[c4]
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Mingkui Tan, Li Wang, Ivor W. Tsang:
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets. ICML 2010: 1047-1054
[c3]
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Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh:
Weakly Supervised Action Recognition Using Implicit Shape Models. ICPR 2010: 3517-3520

2000 – 2009

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2009
[c2]
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Tuan Hue Thi, Sijun Lu, Jian Zhang, Li Cheng, Li Wang:
Human Body Articulation for Action Recognition in Video Sequences. AVSS 2009: 92-97
2008
[c1]
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Qinfeng Shi, Li Wang, Li Cheng, Alexander J. Smola:
Discriminative human action segmentation and recognition using semi-Markov model. CVPR 2008

Coauthor Index

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