Li Wang

95 papers A* 11A 4B 6C 1Misc 1Journal 64Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
An NEPv Approach for Orthogonal CCA with Matrix (2, 1)-norm Regularization with Application to Feature Selection.
J. Optim. Theory Appl.
Li Wang, Lei-Hong Zhang, Ren-Cang Li
2026 J jnl
An NPDo Approach for Principal Joint Block Diagonalization.
CoRR
Ren-Cang Li, Ding Lu, Li Wang, Lei-Hong Zhang
2025 J jnl
An NEPv Approach for Feature Selection via Orthogonal OCCA with the (2,1)-norm Regularization.
CoRR
Li Wang, Lei-Hong Zhang, Ren-Cang Li
2025 J jnl
Image-based meta- and mega-analysis (IBMMA): A unified framework for large-scale, multi-site, neuroimaging data analysis.
NeuroImage
Nick Steele, Ashley A. Huggins, Rajendra A. Morey, Ahmed Hussain, Courtney Russell, Benjamin Suarez-Jimenez, Elena Pozzi, Hadis Jameei, Lianne Schmaal, Ilya M. Veer, Lea Waller, Neda Jahanshad, Sophia I. Thomopoulos, Lauren E. Salminen, Miranda Olff, Jessie L. Frijling, Dick J. Veltman, Saskia B. J. Koch, Laura Nawijn, Mirjam van Zuiden, Li Wang, Ye Zhu, Gen Li, Dan J. Stein, Jonathan Ipser, Yuval Neria, Xi Zhu, Orren Ravid, Sigal Zilcha-Mano, Amit Lazarov, Jennifer S. Stevens, Kerry J. Ressler, Tanja Jovanovic, Sanne J. H. van Rooij, Negar Fani, Sven C. Mueller, Anna R. Hudson, Judith K. Daniels, Anika Sierk, Antje Manthey, Henrik Walter, Nic J. A. van der Wee, Steven J. A. van der Werff, Robert R. J. M. Vermeiren, Christian Schmahl, Julia Herzog, Ivan Rektor, Pavel Ríha, Milissa L. Kaufman, Lauren A. M. Lebois, Justin T. Baker, Isabelle M. Rosso, Elizabeth A. Olson, Anthony King, Israel Liberzon, Michael Angstadt, Nicholas D. Davenport, Seth G. Disner, Scott R. Sponheim, Thomas Straube, David Bernd Hofmann, Guang Ming Lu, Rongfeng Qi, Xin Wang, Austin Kunch, Hong Xie, Yann Quidé, Wissam El-Hage, Shmuel Lissek, Hannah Berg, Steven E. Bruce, Josh M. Cisler, Marisa Ross, Ryan J. Herringa, Daniel W. Grupe, Jack B. Nitschke, Richard J. Davidson, Christine Larson, Terri A. deRoon-Cassini, Carissa W. Tomas, Jacklynn M. Fitzgerald, Jeremy A. Elman, Matthew S. Panizzon, Carol E. Franz, Michael J. Lyons, William S. Kremen, Brandee Feola, Jennifer Urbano Blackford, Bunmi O. Olatunji, Geoffrey May, Steven M. Nelson, Evan M. Gordon, Chadi G. Abdallah, Ruth A. Lanius, Maria Densmore, Jean Théberge, Richard W. J. Neufeld, Paul M. Thompson, Delin Sun
2024 J jnl
A Comparative Study of Deep Reinforcement Learning for Crop Production Management.
CoRR
Joseph Balderas, Dong Chen, Yanbo Huang, Li Wang, Ren-Cang Li
2024 J jnl
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds.
CoRR
Shuhai Zhang, Jiahao Yang, Hui Luo, Jie Chen, Li Wang, Feng Liu, Bo Han, Mingkui Tan
2024 J jnl
Differential Equation-Constrained Optimization with Stochasticity.
SIAM/ASA J. Uncertain. Quantification
Qin Li, Li Wang, Yunan Yang
2023 J jnl
Density-Based Distance Preserving Graph: Theoretical and Practical Analyses.
IEEE Trans. Neural Networks Learn. Syst.
Li Wang, Haian Yin, Jin Zhang
2023 J jnl
Exploring the Influence of Information Entropy Change in Learning Systems.
CoRR
Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
2023 B conf
Human Identification at a Distance: Challenges, Methods and Results on HID 2023.
IJCB
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
2023 A conf
ImpDet: Exploring Implicit Fields for 3D Object Detection.
WACV
Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue
2023 J jnl
Multiview Orthonormalized Partial Least Squares: Regularizations and Deep Extensions.
IEEE Trans. Neural Networks Learn. Syst.
Li Wang, Ren-Cang Li, Wen-Wei Lin
2023 J jnl
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.
NeuroImage
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 Ríha, 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
2023 J jnl
Trace ratio optimization with an application to multi-view learning.
Math. Program.
Li Wang, Lei-Hong Zhang, Ren-Cang Li
2022 J jnl
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares.
IEEE Trans. Big Data
Li Wang, Ren-Cang Li
2022 J jnl
A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li
2022 J jnl
A comparison of methods to harmonize cortical thickness measurements across scanners and sites.
NeuroImage
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 M. 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
2022 J jnl
A self-consistent-field iteration for MAXBET with an application to multi-view feature extraction.
Adv. Comput. Math.
Xijun Ma, Chungen Shen, Li Wang, Lei-Hong Zhang, Ren-Cang Li
2022 J jnl
Deep Tensor CCA for Multi-View Learning.
IEEE Trans. Big Data
Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng
2022 — conf
Exploring Latent Sparse Graph for Large-Scale Semi-supervised Learning.
ECML/PKDD (4)
Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng
2022 J jnl
ImpDet: Exploring Implicit Fields for 3D Object Detection.
CoRR
Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue
2022 J jnl
Maximizing sum of coupled traces with applications.
Numerische Mathematik
Li Wang, Lei-Hong Zhang, Ren-Cang Li
2022 J jnl
Orthogonal multi-view analysis by successive approximations via eigenvectors.
Neurocomputing
Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
2022 J jnl
Predicting brain structural network using functional connectivity.
Medical Image Anal.
Lu Zhang, Li Wang, Dajiang Zhu, Alzheimer's Disease Neuroimaging Initiative
2021 J jnl
An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation.
Sensors
Wei Wang, Qing Li, Chengyong Xiao, Dezheng Zhang, Lei Miao, Li Wang
2021 J jnl
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment.
Medical Image Anal.
Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu
2021 A* conf
Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection.
CVPR
Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang
2021 J jnl
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection.
CoRR
Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang
2021 J jnl
Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint.
IEEE Trans. Medical Imaging
Yi Xue, Wenjian Qin, Chen Luo, Pengfei Yang, Yangkang Jiang, Tiffany Tsui, Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu
2021 J jnl
On Generalizing Trace Minimization.
CoRR
Xin Liang, Li Wang, Lei-Hong Zhang, Ren-Cang Li
2021 J jnl
Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning.
IEEE Trans. Neural Networks Learn. Syst.
Li Wang, Raymond H. Chan, Tieyong Zeng
2021 J jnl
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors.
IEEE Trans. Medical Imaging
Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon
2021 A* conf
Progressive Coordinate Transforms for Monocular 3D Object Detection.
NeurIPS
Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
2021 J jnl
Progressive Coordinate Transforms for Monocular 3D Object Detection.
CoRR
Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
2021 J jnl
Representing Alzheimer's Disease Progression via Deep Prototype Tree.
CoRR
Lu Zhang, Li Wang, Dajiang Zhu
2021 J jnl
Trace Ratio Optimization with an Application to Multi-view Learning.
CoRR
Li Wang, Lei-Hong Zhang, Ren-Cang Li
2020 J jnl
Deep Tensor CCA for Multi-view Learning.
CoRR
Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng
2020 — conf
Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network.
ISBI
Lu Zhang, Li Wang, Dajiang Zhu
2020 — conf
Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment.
ISBI
Li Wang, Lu Zhang, Dajiang Zhu
2020 J jnl
Learning Low-Dimensional Latent Graph Structures: A Density Estimation Approach.
IEEE Trans. Neural Networks Learn. Syst.
Li Wang, Ren-Cang Li
2020 J jnl
Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions.
CoRR
Li Wang, Ren-Cang Li, Wen-Wei Lin
2020 J jnl
Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors.
CoRR
Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
2020 J jnl
Orthogonal canonical correlation analysis and applications.
Optim. Methods Softw.
Li Wang, Lei-Hong Zhang, Zhaojun Bai, Ren-Cang Li
2020 — conf
Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network.
MICCAI (7)
Lu Zhang, Li Wang, Dajiang Zhu
2020 J jnl
Spectral norm of a symmetric tensor and its computation.
Math. Comput.
Shmuel Friedland, Li Wang
2020 J jnl
Uncorrelated Semi-paired Subspace Learning.
CoRR
Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
2019 — conf
A Cascaded Multi-modality Analysis in Mild Cognitive Impairment.
MLMI@MICCAI
Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu
2019 J jnl
A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis.
CoRR
Lei-Hong Zhang, Li Wang, Zhaojun Bai, Ren-Cang Li
2019 — conf
Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning.
ISBI
Li Wang, Lu Zhang, Dajiang Zhu
2019 — conf
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning.
IPMI
Li Wang, Paul M. Thompson, Dajiang Zhu
2019 A conf
CODA: Counting Objects via Scale-Aware Adversarial Density Adaption.
ICME
Li Wang, Yongbo Li, Xiangyang Xue
2019 J jnl
CODA: Counting Objects via Scale-aware Adversarial Density Adaption.
CoRR
Li Wang, Yongbo Li, Xiangyang Xue
2019 J jnl
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points.
CoRR
Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng
2019 J jnl
Probabilistic Dimensionality Reduction via Structure Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Wang, Qi Mao
2019 J jnl
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior.
CoRR
Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon
2018 J jnl
Arbitrary-Oriented Scene Text Detection via Rotation Proposals.
IEEE Trans. Multim.
Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, Xiangyang Xue
2018 J jnl
Crowd Counting with Density Adaption Networks.
CoRR
Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng
2018 — conf
Exploring latent structures of Alzheimer's disease via structure learning.
ISBI
Dajiang Zhu, Li Wang
2018 J jnl
Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification.
IEEE Signal Process. Lett.
Yingbin Zheng, Hao Ye, Li Wang, Jian Pu
2017 J jnl
A unified probabilistic framework for robust manifold learning and embedding.
Mach. Learn.
Qi Mao, Li Wang, Ivor W. Tsang
2017 J jnl
Arbitrary-Oriented Scene Text Detection via Rotation Proposals.
CoRR
Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, Xiangyang Xue
2017 J jnl
Evolving Boxes for fast Vehicle Detection.
CoRR
Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue
2017 A conf
Evolving boxes for fast vehicle detection.
ICME
Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue
2017 A* conf
Latent Smooth Skeleton Embedding.
AAAI
Li Wang, Qi Mao, Ivor W. Tsang
2017 C conf
On the Flatness of Loss Surface for Two-layered ReLU Networks.
ACML
Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan
2017 J jnl
Principal Graph and Structure Learning Based on Reversed Graph Embedding.
IEEE Trans. Pattern Anal. Mach. Intell.
Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2017 B conf
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring.
AVSS
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
2016 A* conf
Face Recognition via Active Annotation and Learning.
ACM Multimedia
Hao Ye, Weiyuan Shao, Hong Wang, Jianqi Ma, Li Wang, Yingbin Zheng, Xiangyang Xue
2016 A* conf
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.
AAAI
Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi
2016 J jnl
Probabilistic Dimensionality Reduction via Structure Learning.
CoRR
Li Wang
2015 J jnl
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation.
CoRR
Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2015 A* conf
Dimensionality Reduction Via Graph Structure Learning.
KDD
Qi Mao, Li Wang, Steve Goodison, Yijun Sun
2015 J jnl
Generalized Multiple Kernel Learning With Data-Dependent Priors.
IEEE Trans. Neural Networks Learn. Syst.
Qi Mao, Ivor W. Tsang, Shenghua Gao, Li Wang
2015 J jnl
Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary.
IEEE Trans. Signal Process.
Mingkui Tan, Ivor W. Tsang, Li Wang
2015 J jnl
Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals.
IEEE Trans. Signal Process.
Mingkui Tan, Ivor W. Tsang, Li Wang
2015 A* conf
Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis.
ICDM
Qi Mao, Wei Zheng, Li Wang, Yunpeng Cai, Volker Mai, Yijun Sun
2015 A conf
SimplePPT: A Simple Principal Tree Algorithm.
SDM
Qi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun
2014 J jnl
Recognizing flu-like symptoms from videos.
BMC Bioinform.
Tuan Hue Thi, Li Wang, Ning Ye, Jian Zhang, Sebastian Maurer-Stroh, Li Cheng
2014 A* conf
Riemannian Pursuit for Big Matrix Recovery.
ICML
Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan
2014 J jnl
Towards ultrahigh dimensional feature selection for big data.
J. Mach. Learn. Res.
Mingkui Tan, Ivor W. Tsang, Li Wang
2013 J jnl
Is Matching Pursuit Solving Convex Problems?
CoRR
Mingkui Tan, Ivor W. Tsang, Li Wang
2013 J jnl
Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Mingkui Tan, Ivor W. Tsang, Li Wang
2012 A* conf
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.
AAAI
Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang
2012 J jnl
Integrating local action elements for action analysis.
Comput. Vis. Image Underst.
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh
2012 J jnl
Structured learning of local features for human action classification and localization.
Image Vis. Comput.
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh
2012 J jnl
Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation
CoRR
Mingkui Tan, Ivor W. Tsang, Li Wang
2011 J jnl
Elastic Sequence Correlation for Human Action Analysis.
IEEE Trans. Image Process.
Li Wang, Li Cheng, Liang Wang
2011 J jnl
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models.
Int. J. Comput. Vis.
Qinfeng Shi, Li Cheng, Li Wang, Alexander J. Smola
2010 B conf
Human Action Recognition and Localization in Video Using Structured Learning of Local Space-Time Features.
AVSS
Tuan Hue Thi, Jian Zhang, Li Cheng, Li Wang, Shinichi Satoh
2010 Misc conf
Human Action Recognition from Boosted Pose Estimation.
DICTA
Li Wang, Li Cheng, Tuan Hue Thi, Jian Zhang
2010 B conf
Implicit Motion-Shape Model: A generic approach for action matching.
ICIP
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang
2010 A* conf
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.
ICML
Mingkui Tan, Li Wang, Ivor W. Tsang
2010 B conf
Weakly Supervised Action Recognition Using Implicit Shape Models.
ICPR
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh
2009 B conf
Human Body Articulation for Action Recognition in Video Sequences.
AVSS
Tuan Hue Thi, Sijun Lu, Jian Zhang, Li Cheng, Li Wang
2008 A* conf
Discriminative human action segmentation and recognition using semi-Markov model.
CVPR
Qinfeng Shi, Li Wang, Li Cheng, Alexander J. Smola