Xingguo Li - RankMe

73 papers A* 6A 4Misc 6Journal 41Unranked 16

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