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ORCIDLingxiao Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Lingxiao Wang 0001 — Toyota Technological Institute at Chicago, IL, USA (and 2 more)
- Lingxiao Wang 0002 — Grenoble Alpes University, France
- Lingxiao Wang 0003
![[0000-0002-1654-4681]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1654-4681")
— Northwestern University, Department of Industrial Engineering and Management Sciences, Evanston, IL, USA - Lingxiao Wang 0004 — Auburn University, Department of Electrical and Computer Engineering, AL, USA
- Lingxiao Wang 0005 — Embry-Riddle Aeronautical University, Department of Electrical Engineering and Computer Science, Daytona Beach, FL, USA
- Lingxiao Wang 0006 — Frankfurt Institute for Advanced Studies, Xidian-FIAS International Joint Research Center, Frankfurt am Main, Germany (and 1 more)
- Lingxiao Wang 0007 — Henan Medical College, Department of Pathology, China
- Lingxiao Wang 0008 — Ludwig-Maximilians-Universität München, Department of Geography, Munich, Germany (and 1 more)
- Lingxiao Wang 0009 — Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with a similar name
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2020 – today
- 2025
[j11]Wei Yuan, Phawis Thammasorn, Lingxiao Wang, Shih Mo:
A Comprehensive Deep Learning Framework for Microwave Stroke Classification: Combining Signal Analysis, Clinical Variables, and Antenna System Measurements. IEEE Access 13: 39935-39949 (2025)- [j10]Yongda Lin, Shiyu Xia, Lingxiao Wang, Baiyu Qiao, Hu Han, Linhui Wang, Xiongkui He, Yajia Liu:
Multi-task deep convolutional neural network for weed detection and navigation path extraction. Comput. Electron. Agric. 229: 109776 (2025) - [j9]Khan Raqib Mahmud, Lingxiao Wang, Sunzid Hassan, Zheng Zhang:
A knowledge-driven framework for Robotic Odor Source Localization using large language models. Robotics Auton. Syst. 186: 104915 (2025) - [i8]Gert Aarts, Kenji Fukushima, Tetsuo Hatsuda, Andreas Ipp, Shuzhe Shi, Lingxiao Wang, Kai Zhou:
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics. CoRR abs/2501.05580 (2025) - 2024
- [j8]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: 1-5 (2024) - [c5]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: 4115-4157 - [c4]Manqing Zhu, Lingxiao Wang, Xiaohong Li:
Design and Optimization of Smart Contracts for Cross-Domain Sharing of Sensitive Data. ICPADS 2024: 633-640 - [i7]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 abs/2405.11667 (2024) - [i6]Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou:
On learning higher-order cumulants in diffusion models. CoRR abs/2410.21212 (2024) - [i5]Diaa E. Habibi, Gert Aarts, Lingxiao Wang, Kai Zhou:
Diffusion models learn distributions generated by complex Langevin dynamics. CoRR abs/2412.01919 (2024) - 2023
- [j7]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: 107896 (2023) - [j6]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: 102938 (2023) - [c3]Lingxiao Wang, Boxin Zhao, Mladen Kolar:
Differentially Private Matrix Completion through Low-rank Matrix Factorization. AISTATS 2023: 5731-5748 - [c2]Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro:
Federated Online and Bandit Convex Optimization. ICML 2023: 27439-27460 - [i4]Lingxiao Wang, Ping Li:
Exploration in Model-based Reinforcement Learning with Randomized Reward. CoRR abs/2301.03142 (2023) - [i3]Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang:
On the Effect of Defections in Federated Learning and How to Prevent Them. CoRR abs/2311.16459 (2023) - [i2]Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nati Sebro:
Federated Online and Bandit Convex Optimization. CoRR abs/2311.17586 (2023) - 2022
- [j5]Qinglai Wei, Lingxiao Wang, Jingwei Lu, Fei-Yue Wang:
Discrete-Time Self-Learning Parallel Control. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 192-204 (2022) - [c1]Kumar Kshitij Patel, Lingxiao Wang, Blake E. Woodworth, Brian Bullins, Nati Srebro:
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization. NeurIPS 2022 - [i1]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 abs/2202.06511 (2022) - 2020
- [j4]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): 5245-5256 (2020)
2010 – 2019
- 2019
- [j3]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): 1333-1334 (2019) - 2017
- [j2]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): 1372-1389 (2017) - 2014
- [j1]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): 328-332 (2014)
Coauthor Index
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