LLE Based Gait Analysis and Recognition. - Honggui Li; Xingguo Li (SINOBIOMETRICS, 2004)

Improved LLE Algorithm for Motion Analysis. - Honggui Li; Xingguo Li (APPT, 2007)

To create neuro-controlled game opponent from UCT-created data. - Fan Xie 001; Suoju He; Xiao Liu; Xingguo Li; Junping Du 001; Jiajian Yang; Yiwen Fu; Yang Chen; Junping Wang; Zhiqing Liu; Qiliang Zhu (GEC Summit, 2009)

A Semantic Web Service Composition Method Based on an Enhanced Planning Graph. - Xingguo Li; Qifei Zhao; Ying Dai (ICEE, 2010)

Intelligent Technique for Knowledge Reuse of Dental Medical Records Based on Case-Based Reasoning. - Dongxiao Gu; Chang-yong Liang; Xingguo Li; Shanlin Yang; Pei Zhang (J. Medical Syst., 2010)

Integrating gray system theory and logistic regression into case-based reasoning for safety assessment of thermal power plants. - Chang-yong Liang; Dongxiao Gu; Isabelle Bichindaritz; Xingguo Li; Chun-rong Zuo; Wenen Cheng (Expert Syst. Appl., 2012)

Locating salient group-structured image features via adaptive compressive sensing. - Xingguo Li; Jarvis D. Haupt (GlobalSIP, 2015)

Outlier identification via randomized adaptive compressive sampling. - Xingguo Li; Jarvis D. Haupt (ICASSP, 2015)

The flare package for high dimensional linear regression and precision matrix estimation in R. - Xingguo Li; Tuo Zhao; Xiaoming Yuan 001; Han Liu 001 (J. Mach. Learn. Res., 2015)

Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. - Xingguo Li; Jarvis D. Haupt (IEEE Trans. Signal Process., 2015)

Robust PCA via tensor outlier pursuit. - Jineng Ren; Xingguo Li; Jarvis D. Haupt (ACSSC, 2016)

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu 001; Mingyi Hong 001 (AISTATS, 2016)

LEACH Protocol and Its Improved Algorithm in Wireless Sensor Network. - Xingguo Li; Junfeng Wang; Linlin Bei (CyberC, 2016)

A dictionary based generalization of robust PCA. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (GlobalSIP, 2016)

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu 001; Jarvis D. Haupt (ICML, 2016)

A refined analysis for the sample complexity of adaptive compressive outlier sensing. - Xingguo Li; Jarvis D. Haupt (SSP, 2016)

Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices. - Xingguo Li; Jarvis D. Haupt (CoRR, 2016)

A First Order Free Lunch for SQRT-Lasso. - Xingguo Li; Jarvis D. Haupt; Raman Arora; Han Liu 001; Mingyi Hong 001; Tuo Zhao (CoRR, 2016)

Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization. - Xingguo Li; Zhaoran Wang 001; Junwei Lu; Raman Arora; Jarvis D. Haupt; Han Liu 001; Tuo Zhao (CoRR, 2016)

Target-based hyperspectral demixing via generalized robust PCA. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (ACSSC, 2017)

Robust Low-Complexity methods for matrix column outlier identification. - Xingguo Li; Jarvis D. Haupt (CAMSAP, 2017)

Communication-Efficient distributed optimization for sparse learning via two-way truncation. - Jineng Ren; Xingguo Li; Jarvis D. Haupt (CAMSAP, 2017)

Near Optimal Sketching of Low-Rank Tensor Regression. - Xingguo Li; Jarvis D. Haupt; David P. Woodruff (NIPS, 2017)

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning. - Xingguo Li; Lin Yang 011; Jason Ge; Jarvis D. Haupt; Tong Zhang 001; Tuo Zhao (NIPS, 2017)

Deep Hyperspherical Learning. - Weiyang Liu; Yan-Ming Zhang; Xingguo Li; Zhen Liu 019; Bo Dai 001; Tuo Zhao; Le Song (NIPS, 2017)

On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions. - Xingguo Li; Lin F. Yang; Jason Ge; Jarvis D. Haupt; Tong Zhang 001; Tuo Zhao (CoRR, 2017)

Towards Black-box Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Xingguo Li; James M. Rehg; Le Song (CoRR, 2017)

Deep Hyperspherical Learning. - Weiyang Liu; Yan-Ming Zhang; Xingguo Li; Zhiding Yu; Bo Dai 001; Tuo Zhao; Le Song (CoRR, 2017)

Botnet Detection Technology Based on DNS. - Xingguo Li; Junfeng Wang; Xiaosong Zhang (Future Internet, 2017)

Visualizing the knowledge structure and evolution of big data research in healthcare informatics. - Dongxiao Gu; Jingjing Li; Xingguo Li; Changyong Liang (Int. J. Medical Informatics, 2017)

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu 001; Mingyi Hong 001 (J. Mach. Learn. Res., 2017)

Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization. - Sijia Liu 001; Xingguo Li; Pin-Yu Chen; Jarvis D. Haupt; Lisa Amini (GlobalSIP, 2018)

Robust PCA via Dictionary Based Outlier Pursuit. - Xingguo Li; Jineng Ren; Sirisha Rambhatla; Yangyang Xu; Jarvis D. Haupt (ICASSP, 2018)

Towards Black-box Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Xingguo Li; Zhen Liu 019; James M. Rehg; Le Song (ICML, 2018)

The Effects of Transshipment Link on the Design of Spare Parts Network With Time-Window Based Service Level. - Jinhong Zhong; Xingguo Li; Dongxiao Gu (IEEE Access, 2018)

On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization. - Zhehui Chen; Xingguo Li; Lin F. Yang; Jarvis D. Haupt; Tuo Zhao (CoRR, 2018)

On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond. - Xingguo Li; Junwei Lu; Zhaoran Wang 001; Jarvis D. Haupt; Tuo Zhao (CoRR, 2018)

Sketching Dictionary Based Robust PCA in Large Matrices. - Xingguo Li; Jarvis D. Haupt (ACSSC, 2019)

On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition. - Zhehui Chen; Xingguo Li; Lin Yang 011; Jarvis D. Haupt; Tuo Zhao (AISTATS, 2019)

NOODL: Provable Online Dictionary Learning and Sparse Coding. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (ICLR (Poster), 2019)

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. - Xiangyi Chen; Sijia Liu 001; Kaidi Xu; Xingguo Li; Xue Lin 001; Mingyi Hong 001; David D. Cox (NeurIPS, 2019)

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. - Xingguo Li; Haoming Jiang; Jarvis D. Haupt; Raman Arora; Han Liu 001; Mingyi Hong 001; Tuo Zhao (UAI, 2019)

Discovering and Visualizing Knowledge Evolution of Chronic Disease Research Driven by Emerging Technologies. - Dongxiao Gu; Kang Li; Xiaoyu Wang; Xingguo Li; Fenghong Liu 002; Li Jiang; Fangfang Zhang (IEEE Access, 2019)

Real-Time Simulation and Optimization of Elastic Aircraft Vehicle Based on Multi-GPU Workstation. - Binxing Hu; Xingguo Li (IEEE Access, 2019)

A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. - Sirisha Rambhatla; Xingguo Li; Jineng Ren; Jarvis D. Haupt (CoRR, 2019)

A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. - Sirisha Rambhatla; Xingguo Li; Jineng Ren; Jarvis D. Haupt (CoRR, 2019)

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. - Jason Ge; Xingguo Li; Haoming Jiang; Han Liu 001; Tong Zhang 001; Mengdi Wang; Tuo Zhao (J. Mach. Learn. Res., 2019)

Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. - Xingguo Li; Junwei Lu; Raman Arora; Jarvis D. Haupt; Han Liu 001; Zhaoran Wang 001; Tuo Zhao (IEEE Trans. Inf. Theory, 2019)

On Generalization Bounds of a Family of Recurrent Neural Networks. - Minshuo Chen; Xingguo Li; Tuo Zhao (AISTATS, 2020)

On Computation and Generalization of Generative Adversarial Imitation Learning. - Minshuo Chen; Yizhou Wang 006; Tianyi Liu; Zhuoran Yang; Xingguo Li; Zhaoran Wang 001; Tuo Zhao (ICLR, 2020)

Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (NeurIPS, 2020)

Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality. - Yi Zhang 074; Orestis Plevrakis; Simon S. Du; Xingguo Li; Zhao Song 002; Sanjeev Arora (NeurIPS, 2020)

Exploring emerging IoT technologies in smart health research: a knowledge graph analysis. - Xuejie Yang; Xiaoyu Wang; Xingguo Li; Dongxiao Gu; Changyong Liang; Kang Li; Gongrang Zhang; Jinhong Zhong (BMC Medical Informatics Decis. Mak., 2020)

On Recoverability of Randomly Compressed Tensors With Low CP Rank. - Shahana Ibrahim; Xiao Fu 001; Xingguo Li (IEEE Signal Process. Lett., 2020)

A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging. - Sirisha Rambhatla; Xingguo Li; Jineng Ren; Jarvis D. Haupt (IEEE Trans. Signal Process., 2020)

Security Risk Assessment Method of High Voltage Power Communication Network Based on Fuzzy Clustering. - Zhengjian Duan; Xingguo Li (ML4CS (3), 2022)

Exploration of a network security situational awareness model based on multisource data fusion. - Xingguo Li; Yu Zhong (Neural Comput. Appl., 2023)

UAVs-assisted QoS guarantee scheme of IoT applications for reliable mobile edge computing. - Xiang Li 076; Peng Xiao; Di Tang; Xingguo Li; Qixu Wang; Dajiang Chen (Comput. Commun., 2024)