Xingguo Li

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 67

Top Topics

Sparse Learning

Matrix Factorization

Convex Minimization

Top Venues

Publications

Xiang Li, Peng Xiao, Di Tang, Xingguo Li, Qixu Wang, Dajiang Chen
UAVs-assisted QoS guarantee scheme of IoT applications for reliable mobile edge computing. Comput. Commun. 223 (2024)
Xingguo Li, Yu Zhong
Exploration of a network security situational awareness model based on multisource data fusion. Neural Comput. Appl. 35 (36) (2023)
Zhengjian Duan, Xingguo Li
Security Risk Assessment Method of High Voltage Power Communication Network Based on Fuzzy Clustering. ML4CS (3) (2022)
Xuejie Yang, Xiaoyu Wang, Xingguo Li, Dongxiao Gu, Changyong Liang, Kang Li, Gongrang Zhang, Jinhong Zhong
Exploring emerging IoT technologies in smart health research: a knowledge graph analysis. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Minshuo Chen, Xingguo Li, Tuo Zhao
On Generalization Bounds of a Family of Recurrent Neural Networks. AISTATS (2020)
Shahana Ibrahim, Xiao Fu, Xingguo Li
On Recoverability of Randomly Compressed Tensors With Low CP Rank. IEEE Signal Process. Lett. 27 (2020)
Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao
On Computation and Generalization of Generative Adversarial Imitation Learning. CoRR (2020)
Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. CoRR (2020)
Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality. NeurIPS (2020)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. CoRR (2020)
Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R. CoRR (2020)
Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality. CoRR (2020)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging. IEEE Trans. Signal Process. 68 (2020)
Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao
On Computation and Generalization of Generative Adversarial Imitation Learning. ICLR (2020)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. NeurIPS (2020)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. CoRR (2019)
Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. UAI (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
A Dictionary Based Generalization of Robust PCA. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
NOODL: Provable Online Dictionary Learning and Sparse Coding. ICLR (Poster) (2019)
Binxing Hu, Xingguo Li
Real-Time Simulation and Optimization of Elastic Aircraft Vehicle Based on Multi-GPU Workstation. IEEE Access 7 (2019)
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. NeurIPS (2019)
Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. J. Mach. Learn. Res. 20 (2019)
Minshuo Chen, Xingguo Li, Tuo Zhao
On Generalization Bounds of a Family of Recurrent Neural Networks. CoRR (2019)
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. CoRR (2019)
Xingguo Li, Dong Liu, Haiying Huang, Junfeng Wang
Research on large data intelligent search engine based on multilayer perceptive botnet algorithm. J. Intell. Fuzzy Syst. 37 (3) (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Target-based Hyperspectral Demixing via Generalized Robust PCA. CoRR (2019)
Zhehui Chen, Xingguo Li, Lin Yang, Jarvis D. Haupt, Tuo Zhao
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition. AISTATS (2019)
Xingguo Li, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Zhaoran Wang, Tuo Zhao
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. IEEE Trans. Inf. Theory 65 (6) (2019)
Dongxiao Gu, Kang Li, Xiaoyu Wang, Xingguo Li, Fenghong Liu, Li Jiang, Fangfang Zhang
Discovering and Visualizing Knowledge Evolution of Chronic Disease Research Driven by Emerging Technologies. IEEE Access 7 (2019)
Xingguo Li, Jarvis D. Haupt
Sketching Dictionary Based Robust PCA in Large Matrices. ACSSC (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
NOODL: Provable Online Dictionary Learning and Sparse Coding. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. CoRR (2019)
Sijia Liu, Xingguo Li, Pin-Yu Chen, Jarvis D. Haupt, Lisa Amini
Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization. GlobalSIP (2018)
Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt
Robust PCA via Dictionary Based Outlier Pursuit. ICASSP (2018)
Xingguo Li, Jarvis D. Haupt, Junwei Lu, Zhaoran Wang, Raman Arora, Han Liu, Tuo Zhao
Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. ITA (2018)
Jinhong Zhong, Xingguo Li, Dongxiao Gu
The Effects of Transshipment Link on the Design of Spare Parts Network With Time-Window Based Service Level. IEEE Access 6 (2018)
Xingguo Li, Junwei Lu, Zhaoran Wang, Jarvis D. Haupt, Tuo Zhao
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond. CoRR (2018)
Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song
Towards Black-box Iterative Machine Teaching. ICML (2018)
Zhehui Chen, Xingguo Li, Lin F. Yang, Jarvis D. Haupt, Tuo Zhao
On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization. CoRR (2018)
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song
Deep Hyperspherical Learning. NIPS (2017)
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. NIPS (2017)
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song
Deep Hyperspherical Learning. CoRR (2017)
Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song
Towards Black-box Iterative Machine Teaching. CoRR (2017)
Xingguo Li, Jarvis D. Haupt
Robust Low-Complexity methods for matrix column outlier identification. CAMSAP (2017)
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)
Jarvis D. Haupt, Xingguo Li, David P. Woodruff
Near Optimal Sketching of Low-Rank Tensor Regression. CoRR (2017)
Xingguo Li, Jarvis D. Haupt, David P. Woodruff
Near Optimal Sketching of Low-Rank Tensor Regression. NIPS (2017)
Xingguo Li, Junfeng Wang, Xiaosong Zhang
Botnet Detection Technology Based on DNS. Future Internet 9 (4) (2017)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Target-based hyperspectral demixing via generalized robust PCA. ACSSC (2017)
Jineng Ren, Xingguo Li, Jarvis D. Haupt
Communication-Efficient distributed optimization for sparse learning via two-way truncation. CAMSAP (2017)
Dongxiao Gu, Jingjing Li, Xingguo Li, Changyong Liang
Visualizing the knowledge structure and evolution of big data research in healthcare informatics. Int. J. Medical Informatics 98 (2017)
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. J. Mach. Learn. Res. 18 (2017)
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)
Xingguo Li, Jarvis D. Haupt
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices. CoRR (2016)
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. CoRR (2016)
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. ICML (2016)
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)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
A dictionary based generalization of robust PCA. GlobalSIP (2016)
Xingguo Li, Jarvis D. Haupt
A refined analysis for the sample complexity of adaptive compressive outlier sensing. SSP (2016)
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. AISTATS (2016)
Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
A First Order Free Lunch for SQRT-Lasso. CoRR (2016)
Xingguo Li, Junfeng Wang, Linlin Bei
LEACH Protocol and Its Improved Algorithm in Wireless Sensor Network. CyberC (2016)
Jineng Ren, Xingguo Li, Jarvis D. Haupt
Robust PCA via tensor outlier pursuit. ACSSC (2016)
Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu
The flare package for high dimensional linear regression and precision matrix estimation in R. J. Mach. Learn. Res. 16 (2015)
Xingguo Li, Jarvis D. Haupt
Outlier identification via randomized adaptive compressive sampling. ICASSP (2015)
Xingguo Li, Jarvis D. Haupt
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. IEEE Trans. Signal Process. 63 (7) (2015)
Xingguo Li, Jarvis D. Haupt
Locating salient group-structured image features via adaptive compressive sensing. GlobalSIP (2015)
Xingguo Li, Jarvis D. Haupt
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. CoRR (2014)
Chang-yong Liang, Dongxiao 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. 39 (5) (2012)
Xingguo Li, Qifei Zhao, Ying Dai
A Semantic Web Service Composition Method Based on an Enhanced Planning Graph. ICEE (2010)
Dongxiao Gu, Chang-yong Liang, Xingguo Li, Shanlin Yang, Pei Zhang
Intelligent Technique for Knowledge Reuse of Dental Medical Records Based on Case-Based Reasoning. J. Medical Syst. 34 (2) (2010)
Fan Xie, Suoju He, Xiao Liu, Xingguo Li, Junping Du, Jiajian Yang, Yiwen Fu, Yang Chen, Junping Wang, Zhiqing Liu, Qiliang Zhu
To create neuro-controlled game opponent from UCT-created data. GEC Summit (2009)
Honggui Li, Xingguo Li
Improved LLE Algorithm for Motion Analysis. APPT (2007)
Honggui Li, Xingguo Li
LLE Based Gait Analysis and Recognition. SINOBIOMETRICS (2004)