Lingxiao Wang

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 72

Top Venues

CoRR

ICML

AISTATS

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Yunxia Huang, Guizhen Liu, Lingxiao Wang, Huajie Chen, Shuwu Xu
Atmospheric Methane Retrieval Based on Back Propagation Neural Network and Simulated AVIRIS-NG Data. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. COLT (2024)
Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. CoRR (2024)
Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang
On the Effect of Defections in Federated Learning and How to Prevent Them. CoRR (2023)
Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro
Federated Online and Bandit Convex Optimization. ICML (2023)
Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nati Sebro
Federated Online and Bandit Convex Optimization. CoRR (2023)
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90 (2023)
Lingxiao Wang, Ping Li
Exploration in Model-based Reinforcement Learning with Randomized Reward. CoRR (2023)
Lingxiao Wang, Boxin Zhao, Mladen Kolar
Differentially Private Matrix Completion through Low-rank Matrix Factorization. AISTATS (2023)
Baiyu Qiao, Yajia Liu, Xiongkui He, Lingxiao Wang, Hu Han, Lanting Zhang, Peng Qi, Limin Liu, Leng Han, Shaoqing Xu, Zhan Huang, Tao Wu, Li Yang
Modeling and analysis of droplet deposition behavior: From the micro and macro perspectives. Comput. Electron. Agric. 210 (2023)
Lingxiao Wang, Shuo Pang
Robotic odor source localization via adaptive bio-inspired navigation using fuzzy inference methods. Robotics Auton. Syst. 147 (2022)
Kumar Kshitij Patel, Lingxiao Wang, Blake E. Woodworth, Brian Bullins, Nati Srebro
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization. NeurIPS (2022)
Huaidian Hou, Lingxiao Wang
Measuring Dynamics in Evacuation Behaviour with Deep Learning. Entropy 24 (2) (2022)
Lingxiao Wang, Shiwen Mao, Bogdan M. Wilamowski, Robert M. Nelms
Pre-Trained Models for Non-Intrusive Appliance Load Monitoring. IEEE Trans. Green Commun. Netw. 6 (1) (2022)
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR (2022)
Qinglai Wei, Lingxiao Wang, Jingwei Lu, Fei-Yue Wang
Discrete-Time Self-Learning Parallel Control. IEEE Trans. Syst. Man Cybern. Syst. 52 (1) (2022)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR (2022)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR (2021)
Lingxiao Wang, Kevin Huang, Tengyu Ma, Quanquan Gu, Jing Huang
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks. NAACL-HLT (2021)
Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. CoRR (2021)
Lingxiao Wang, Shuo Pang, Jinlong Li
Learn to Trace Odors: Autonomous Odor Source Localization via Deep Learning Methods. ICMLA (2021)
Xiaoxia Wu, Lingxiao Wang, Irina Cristali, Quanquan Gu, Rebecca Willett
Adaptive Differentially Private Empirical Risk Minimization. CoRR (2021)
Chao Yang, Lingxiao Wang, Xuyu Wang, Shiwen Mao
Meta-Pose: Environment-adaptive Human Skeleton Tracking with RFID. GLOBECOM (2021)
Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. Mach. Learn. Sci. Technol. 2 (3) (2021)
Lingxiao Wang, Shuo Pang, Jinlong Li
Olfactory-Based Navigation via Model-Based Reinforcement Learning and Fuzzy Inference Methods. IEEE Trans. Fuzzy Syst. 29 (10) (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR (2021)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang
SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML (2021)
Chunyan Kang, Dandan Wang, Xiuzhi Zhang, Lingxiao Wang, Fengxiang Wang, Jie Chen
Construction and Validation of a Lung Cancer Diagnostic Model Based on 6-Gene Methylation Frequency in Blood, Clinical Features, and Serum Tumor Markers. Comput. Math. Methods Medicine 2021 (2021)
Lingxiao Wang, Shuzhe Shi, Kai Zhou
Automatic differentiation approach for reconstructing spectral functions with neural networks. CoRR (2021)
Chong Wang, Lin Zhao, Hongbing Fang, Lingxiao Wang, Zanpin Xing, Defu Zou, Guojie Hu, Xiaodong Wu, Yonghua Zhao, Yu Sheng, Qiangqiang Pang, Erji Du, Guangyue Liu, Hanbo Yun
Mapping Surficial Soil Particle Size Fractions in Alpine Permafrost Regions of the Qinghai-Tibet Plateau. Remote. Sens. 13 (7) (2021)
Lingxiao Wang, Shuzhe Shi, Kai Zhou
Reconstructing spectral functions via automatic differentiation. CoRR (2021)
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu, David Evans
Revisiting Membership Inference Under Realistic Assumptions. Proc. Priv. Enhancing Technol. 2021 (2) (2021)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
On the Global Optimality of Model-Agnostic Meta-Learning. ICML (2020)
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. ICML (2020)
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. CoRR (2020)
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Revisiting Membership Inference Under Realistic Assumptions. CoRR (2020)
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. CoRR (2020)
Lingxiao Wang, Shiwen Mao, Bogdan M. Wilamowski, R. M. Nelms
Ensemble Learning for Load Forecasting. IEEE Trans. Green Commun. Netw. 4 (2) (2020)
Fabrice Harel-Canada, Lingxiao Wang, Muhammad Ali Gulzar, Quanquan Gu, Miryung Kim
Is neuron coverage a meaningful measure for testing deep neural networks? ESEC/SIGSOFT FSE (2020)
Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR (2020)
Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu
Improving Neural Language Generation with Spectrum Control. ICLR (2020)
Qinglai Wei, Lingxiao Wang, Yu Liu, Marios M. Polycarpou
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. CoRR (2020)
Lingxiao Wang, Shuo Pang
An Implementation of the Adaptive Neuro-Fuzzy Inference System (ANFIS) for Odor Source Localization. IROS (2020)
Bao Wang, Quanquan Gu, March Boedihardjo, Lingxiao Wang, Farzin Barekat, Stanley J. Osher
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. MSML (2020)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
On the Global Optimality of Model-Agnostic Meta-Learning. CoRR (2020)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. ICLR (2020)
Lingxiao Wang, Quanquan Gu
A Knowledge Transfer Framework for Differentially Private Sparse Learning. AAAI (2020)
Haixing Li, Pengfeng Xiao, Xuezhi Feng, Yongke Yang, Lingxiao Wang, Wenbo Zhang, Xiaohui Wang, Weiding Feng, Xiao Chang
Corrections to "Using Land Long Term Data Records to Map Land Cover Changes in China over 1981-2010". IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (4) (2019)
Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
Efficient Privacy-Preserving Nonconvex Optimization. CoRR (2019)
Lingxiao Wang, Shiwen Mao, Bogdan M. Wilamowski
Short-Term Load Forecasting with LSTM Based Ensemble Learning. iThings/GreenCom/CPSCom/SmartData (2019)
Lingxiao Wang, Quanquan Gu
A Knowledge Transfer Framework for Differentially Private Sparse Learning. CoRR (2019)
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. CoRR (2019)
Lingxiao Wang, Quanquan Gu
Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning. IJCAI (2019)
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Statistical-Computational Tradeoff in Single Index Models. NeurIPS (2019)
Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu
Learning One-hidden-layer ReLU Networks via Gradient Descent. AISTATS (2019)
Lingxiao Wang, Yali Li, Shengjin Wang
Feature Learning for One-Shot Face Recognition. ICIP (2018)
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. NeurIPS (2018)
Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization. ICML (2018)
Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu
Learning One-hidden-layer ReLU Networks via Gradient Descent. CoRR (2018)
Xiao Zhang, Lingxiao Wang, Yaodong Yu, Quanquan Gu
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery. ICML (2018)
Xiao Zhang, Lingxiao Wang, Quanquan Gu
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery. AISTATS (2018)
Lingxiao Wang, Yali Li, Shengjin Wang
DeepDeblur: Fast one-step blurry face images restoration. CoRR (2017)
Lingxiao Wang, Quanquan Gu
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption. ICML (2017)
Lingxiao Wang, Xiao Zhang, Quanquan Gu
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery. ICML (2017)
Lingxiao Wang, Xiao Zhang, Quanquan Gu
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation. AISTATS (2017)
Haixing Li, Pengfeng Xiao, Xuezhi Feng, Yongke Yang, Lingxiao Wang, Wenbo Zhang, Xiaohui Wang, Weiding Feng, Xiao Chang
Using Land Long-Term Data Records to Map Land Cover Changes in China Over 1981-2010. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (4) (2017)
Jinghui Chen, Lingxiao Wang, Xiao Zhang, Quanquan Gu
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. CoRR (2017)
Lingxiao Wang, Philip Marzahn, Monique Bernier, Andres Jacome, Jimmy Poulin, Ralf Ludwig
Comparison of TerraSAR-X and ALOS PALSAR Differential Interferometry With Multisource DEMs for Monitoring Ground Displacement in a Discontinuous Permafrost Region. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (9) (2017)
Rongda Zhu, Lingxiao Wang, Chengxiang Zhai, Quanquan Gu
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm. ICML (2017)
Lingxiao Wang, Xiang Ren, Quanquan Gu
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates. AISTATS (2016)
Lingxiao Wang, Pengfeng Xiao, Xuezhi Feng, Haixing Li, Wenbo Zhang, Jintang Lin
Effective Compositing Method to Produce Cloud-Free AVHRR Image. IEEE Geosci. Remote. Sens. Lett. 11 (1) (2014)

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Publication Activity (10 Years)

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Lingxiao Wang