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ORCIDGuang Lin
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
- Guang Lin 0001
![[0000-0002-0976-1987]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0976-1987")
— Purdue University, Department of Mathematics, School of Mechanical Engineering, West Lafayette, IN, USA - Guang Lin 0002 — Tokyo University of Agriculture and Technology, Japan (and 2 more)
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2020 – today
- 2025
[j5]Shida Liu, Guang Lin, Honghai Ji, Shangtai Jin, Zhongsheng Hou:
A Novel Enhanced Data-Driven Model-Free Adaptive Control Scheme for Path Tracking of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 26(1): 579-590 (2025)- [i16]Nick Winovich, Mitchell Daneker, Lu Lu, Guang Lin:
Active operator learning with predictive uncertainty quantification for partial differential equations. CoRR abs/2503.03178 (2025) - [i15]Pengtao Dang, Tingbo Guo, Melissa Fishel, Guang Lin, Wenzhuo Wu, Sha Cao, Chi Zhang:
Physics Informed Constrained Learning of Dynamics from Static Data. CoRR abs/2504.12675 (2025) - [i14]Binghang Lu, Changhong Mou, Guang Lin:
MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter. CoRR abs/2506.00731 (2025) - 2024
- [j4]Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024) - [c4]Jinwon Sohn, Qifan Song, Guang Lin:
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. AISTATS 2024: 1594-1602 - [i13]Shuguang Chen, Guang Lin:
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning. CoRR abs/2412.20227 (2024) - 2023
- [j3]Chi-Hua Wang, Wenjie Li, Guang Lin:
Federated High-Dimensional Online Decision Making. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j2]Liyao Gao, Guang Lin, Wei Zhu:
Deformation Robust Roto-Scale-Translation Equivariant CNNs. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [c3]Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng:
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. MICCAI (5) 2021: 449-458 - [i12]Aoxue Chen, Guang Lin:
Robust data-driven discovery of partial differential equations with time-dependent coefficients. CoRR abs/2102.01432 (2021) - [i11]Liyao Gao, Guang Lin, Wei Zhu:
Deformation Robust Roto-Scale-Translation Equivariant CNNs. CoRR abs/2111.10978 (2021) - 2020
- [i10]Liyao Gao, Yifan Du, Hongshan Li, Guang Lin:
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors. CoRR abs/2005.04286 (2020) - [i9]Moonseop Kim, Huayi Yin, Guang Lin:
Multi-Fidelity Gaussian Process based Empirical Potential Development for Si: H Nanowires. CoRR abs/2005.08638 (2020) - [i8]Moonseop Kim, Guang Lin:
Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns. CoRR abs/2005.13461 (2020) - [i7]Yixiang Deng, Guang Lin, Xiu Yang:
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression. CoRR abs/2008.01066 (2020) - [i6]Yating Wang, Guang Lin:
MFPC-Net: Multi-fidelity Physics-Constrained Neural Process. CoRR abs/2010.01378 (2020) - [i5]Lang Zhao, Tyler Tallman, Guang Lin:
Spatial Damage Characterization in Self-Sensing Materials via Neural Network-Aided Electrical Impedance Tomography: A Computational Study. CoRR abs/2010.01674 (2020) - [i4]Yixuan Sun, Imad Hanhan, Michael D. Sangid, Guang Lin:
Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks. CoRR abs/2010.03675 (2020)
2010 – 2019
- 2019
- [j1]Guangpei Sun, Peng Jiang, Huan Xu, Shan-en Yu, Dong Guo, Guang Lin, Hui Wu:
Outlier Detection and Correction for Monitoring Data of Water Quality Based on Improved VMD and LSSVM. Complex. 2019: 9643921:1-9643921:12 (2019) - [i3]Wentao Chen, Tehuan Chen, Guang Lin:
Reinforcement Learning for Traffic Control with Adaptive Horizon. CoRR abs/1903.12348 (2019) - [i2]Sheng Zhang, Guang Lin:
Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data. CoRR abs/1907.07788 (2019) - [i1]Yating Wang, Guang Lin:
Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media. CoRR abs/1907.09571 (2019) - 2016
- [p1]Guang Lin:
Integrate Big Data for Better Operation, Control, and Protection of Power Systems. Handbook of Big Data 2016: 47-60 - 2013
- [c2]Yu-Hui Qui, Jian-Wei Zhang, Guang Lin, Yong-Hui Li, Dong-Fa Gao:
Improved CamShift tracking algorithm based on motion detection. ICMLC 2013: 937-942 - 2011
- [c1]Yunping Zheng, Zujia Li, Mudar Sarem, Guang Lin, Liqiang Hu:
A new IITNAM representation method of gray images. FSKD 2011: 1897-1901
Coauthor Index
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