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    Author information
    First name: Xingguo
    Last name: Li
    DBLP: 16/5063
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    Below you find the publications which have been written by this author.

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    Journal article
    Dong-xiao Gu, Jingjing Li, Xingguo Li, Changyong Liang.
    Visualizing the knowledge structure and evolution of big data research in healthcare informatics.
    I. J. Medical Informatics 2017, Volume 98 (0) 2017
    Journal article
    Xingguo Li, Lin F. Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao.
    On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Jarvis D. Haupt, Xingguo Li, David P. Woodruff.
    Near Optimal Sketching of Low-Rank Tensor Regression.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song.
    Towards Black-box Iterative Machine Teaching.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Xingguo Li, Jarvis D. Haupt, David P. Woodruff.
    Near Optimal Sketching of Low-Rank Tensor Regression.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    Xingguo Li, Lin Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao.
    On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song.
    Deep Hyperspherical Learning.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Journal article
    Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song.
    Deep Hyperspherical Learning.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt.
    Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao.
    A First Order Free Lunch for SQRT-Lasso.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt.
    Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning.
    Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 2016 (0) 2016
    Conference paper
    Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong.
    An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong.
    An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization.
    Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016 2016 (0) 2016
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    A refined analysis for the sample complexity of adaptive compressive outlier sensing.
    IEEE Statistical Signal Processing Workshop, SSP 2016, Palma de Mallorca, Spain, June 26-29, 2016 2016 (0) 2016
    Conference paper
    Xingguo Li, Zhaoran Wang, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Tuo Zhao.
    Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xingguo Li, Junfeng Wang, Linlin Bei.
    LEACH Protocol and Its Improved Algorithm in Wireless Sensor Network.
    International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016, Chengdu, China, October 13-15, 2016 2016 (0) 2016
    Conference paper
    Jineng Ren, Xingguo Li, Jarvis D. Haupt.
    Robust PCA via tensor outlier pursuit.
    50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016 2016 (0) 2016
    Conference paper
    Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt.
    A dictionary based generalization of robust PCA.
    2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, DC, USA, December 7-9, 2016 2016 (0) 2016
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling.
    IEEE Transactions on Signal Processing 2015, Volume 63 (0) 2015
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Outlier identification via randomized adaptive compressive sampling.
    2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015 2015 (0) 2015
    Journal article
    Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu.
    The flare package for high dimensional linear regression and precision matrix estimation in R.
    Journal of Machine Learning Research 2015, Volume 16 (0) 2015
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Locating salient group-structured image features via adaptive compressive sensing.
    2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Orlando, FL, USA, December 14-16, 2015 2015 (0) 2015
    Conference paper
    Xingguo Li, Jarvis D. Haupt.
    Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Changyong Liang, Dong-xiao Gu, Isabelle Bichindaritz, Xingguo Li, Chun-rong Zuo, Wenen Cheng.
    Integrating gray system theory and logistic regression into case-based reasoning for safety assessment of thermal power plants.
    Expert Syst. Appl. 2012, Volume 39 (0) 2012
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