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2020 – today
- 2024
[j18]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: 55-67 (2024)- 2023
- [j17]Xingguo Li, Yu Zhong:
Exploration of a network security situational awareness model based on multisource data fusion. Neural Comput. Appl. 35(36): 25083-25095 (2023) - 2022
- [c32]Zhengjian Duan, Xingguo Li:
Security Risk Assessment Method of High Voltage Power Communication Network Based on Fuzzy Clustering. ML4CS (3) 2022: 197-211 - 2020
- [j16]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): 260 (2020) - [j15]Shahana Ibrahim, Xiao Fu, Xingguo Li:
On Recoverability of Randomly Compressed Tensors With Low CP Rank. IEEE Signal Process. Lett. 27: 1125-1129 (2020) - [j14]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: 1760-1775 (2020) - [c31]Minshuo Chen, Xingguo Li, Tuo Zhao:
On Generalization Bounds of a Family of Recurrent Neural Networks. AISTATS 2020: 1233-1243 - [c30]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 - [c29]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. NeurIPS 2020 - [c28]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 - [i24]Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao:
On Computation and Generalization of Generative Adversarial Imitation Learning. CoRR abs/2001.02792 (2020) - [i23]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 abs/2002.06668 (2020) - [i22]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 abs/2006.15261 (2020) - [i21]Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu:
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R. CoRR abs/2006.15419 (2020) - [i20]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. CoRR abs/2006.16442 (2020)
2010 – 2019
- 2019
- [j13]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: 72994-73003 (2019) - [j12]Binxing Hu, Xingguo Li:
Real-Time Simulation and Optimization of Elastic Aircraft Vehicle Based on Multi-GPU Workstation. IEEE Access 7: 155659-155670 (2019) - [j11]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): 3425-3434 (2019) - [j10]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: 44:1-44:5 (2019) - [j9]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): 3489-3514 (2019) - [c27]Xingguo Li, Jarvis D. Haupt:
Sketching Dictionary Based Robust PCA in Large Matrices. ACSSC 2019: 702-706 - [c26]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: 916-925 - [c25]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
NOODL: Provable Online Dictionary Learning and Sparse Coding. ICLR (Poster) 2019 - [c24]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: 7202-7213 - [c23]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: 49-59 - [i19]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
A Dictionary Based Generalization of Robust PCA. CoRR abs/1902.08171 (2019) - [i18]Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt:
A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. CoRR abs/1902.08304 (2019) - [i17]Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt:
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. CoRR abs/1902.10238 (2019) - [i16]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Target-based Hyperspectral Demixing via Generalized Robust PCA. CoRR abs/1902.11111 (2019) - [i15]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
NOODL: Provable Online Dictionary Learning and Sparse Coding. CoRR abs/1902.11261 (2019) - [i14]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 abs/1910.06513 (2019) - [i13]Minshuo Chen, Xingguo Li, Tuo Zhao:
On Generalization Bounds of a Family of Recurrent Neural Networks. CoRR abs/1910.12947 (2019) - 2018
- [j8]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: 57572-57582 (2018) - [c22]Sijia Liu, Xingguo Li, Pin-Yu Chen, Jarvis D. Haupt, Lisa Amini:
Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization. GlobalSIP 2018: 1179-1183 - [c21]Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt:
Robust PCA via Dictionary Based Outlier Pursuit. ICASSP 2018: 4699-4703 - [c20]Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. ICML 2018: 3147-3155 - [c19]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: 1-9 - [i12]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 abs/1806.05151 (2018) - [i11]Xingguo Li, Junwei Lu, Zhaoran Wang, Jarvis D. Haupt, Tuo Zhao:
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond. CoRR abs/1806.05159 (2018) - 2017
- [j7]Xingguo Li, Junfeng Wang, Xiaosong Zhang:
Botnet Detection Technology Based on DNS. Future Internet 9(4): 55 (2017) - [j6]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: 22-32 (2017) - [j5]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: 184:1-184:24 (2017) - [c18]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Target-based hyperspectral demixing via generalized robust PCA. ACSSC 2017: 420-424 - [c17]Xingguo Li, Jarvis D. Haupt:
Robust Low-Complexity methods for matrix column outlier identification. CAMSAP 2017: 1-5 - [c16]Jineng Ren, Xingguo Li, Jarvis D. Haupt:
Communication-Efficient distributed optimization for sparse learning via two-way truncation. CAMSAP 2017: 1-5 - [c15]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: 2742-2752 - [c14]Xingguo Li, Jarvis D. Haupt, David P. Woodruff:
Near Optimal Sketching of Low-Rank Tensor Regression. NIPS 2017: 3466-3476 - [c13]Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song:
Deep Hyperspherical Learning. NIPS 2017: 3950-3960 - [i10]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 abs/1706.06066 (2017) - [i9]Jarvis D. Haupt, Xingguo Li, David P. Woodruff:
Near Optimal Sketching of Low-Rank Tensor Regression. CoRR abs/1709.07093 (2017) - [i8]Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. CoRR abs/1710.07742 (2017) - [i7]Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song:
Deep Hyperspherical Learning. CoRR abs/1711.03189 (2017) - 2016
- [c12]Jineng Ren, Xingguo Li, Jarvis D. Haupt:
Robust PCA via tensor outlier pursuit. ACSSC 2016: 1744-1749 - [c11]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: 491-499 - [c10]Xingguo Li, Junfeng Wang, Linlin Bei:
LEACH Protocol and Its Improved Algorithm in Wireless Sensor Network. CyberC 2016: 418-422 - [c9]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
A dictionary based generalization of robust PCA. GlobalSIP 2016: 1315-1319 - [c8]Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt:
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. ICML 2016: 917-925 - [c7]Xingguo Li, Jarvis D. Haupt:
A refined analysis for the sample complexity of adaptive compressive outlier sensing. SSP 2016: 1-5 - [i6]Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt:
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. CoRR abs/1605.02711 (2016) - [i5]Xingguo Li, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao:
A First Order Free Lunch for SQRT-Lasso. CoRR abs/1605.07950 (2016) - [i4]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 abs/1607.02793 (2016) - [i3]Xingguo Li, Jarvis D. Haupt:
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices. CoRR abs/1612.02334 (2016) - [i2]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 abs/1612.09296 (2016) - 2015
- [j4]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: 553-557 (2015) - [j3]Xingguo Li, Jarvis D. Haupt:
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. IEEE Trans. Signal Process. 63(7): 1792-1807 (2015) - [c6]Xingguo Li, Jarvis D. Haupt:
Locating salient group-structured image features via adaptive compressive sensing. GlobalSIP 2015: 393-397 - [c5]Xingguo Li, Jarvis D. Haupt:
Outlier identification via randomized adaptive compressive sampling. ICASSP 2015: 3302-3306 - 2014
- [i1]Xingguo Li, Jarvis D. Haupt:
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling. CoRR abs/1407.0312 (2014) - 2012
- [j2]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): 5154-5167 (2012) - 2010
- [j1]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): 213-222 (2010) - [c4]Xingguo Li, Qifei Zhao, Ying Dai:
A Semantic Web Service Composition Method Based on an Enhanced Planning Graph. ICEE 2010: 2288-2291
2000 – 2009
- 2009
- [c3]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: 1013-1016 - 2007
- [c2]Honggui Li, Xingguo Li:
Improved LLE Algorithm for Motion Analysis. APPT 2007: 733-742 - 2004
- [c1]Honggui Li, Xingguo Li:
LLE Based Gait Analysis and Recognition. SINOBIOMETRICS 2004: 671-679
Coauthor Index
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