Guang Lin - RankMe

34 papers A 1Misc 1Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A POD-DeepONet Framework for Forward and Inverse Design of 2D Photonic Crystals. CoRR Yueqi Wang, Guanglian Li, Guang Lin
2026	J	`jnl`	ATLAS : Adaptive Self-Evolutionary Research Agent with Task-Distributed Multi-LLM Supporters. CoRR Ujin Jeon, Jiyong Kwon, Madison Ann Sullivan, Caleb Eunho Lee, Guang Lin
2026	J	`jnl`	LegONet: Plug-and-Play Structure-Preserving Neural Operator Blocks for Compositional PDE Learning. CoRR Jiahao Zhang, Yueqi Wang, Guang Lin
2026	J	`jnl`	Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning. CoRR Binghang Lu, Jiahao Zhang, Guang Lin
2026	J	`jnl`	Weak-Form Evolutionary Kolmogorov-Arnold Networks for Solving Partial Differential Equations. CoRR Bongseok Kim, Jiahao Zhang, Guang Lin
2025	J	`jnl`	A Novel Enhanced Data-Driven Model-Free Adaptive Control Scheme for Path Tracking of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. Shida Liu, Guang Lin, Honghai Ji, Shangtai Jin, Zhongsheng Hou
2025	J	`jnl`	BEKAN: Boundary condition-guaranteed evolutionary Kolmogorov-Arnold networks with radial basis functions for solving PDE problems. CoRR Bongseok Kim, Jiahao Zhang, Guang Lin
2025	J	`jnl`	Data-driven Feynman-Kac Discovery with Applications to Prediction and Data Generation. CoRR Qi Feng, Guang Lin, Purav Matlia, Denny Serdarevic
2025	J	`jnl`	Low-Rank Adaptation of Evolutionary Deep Neural Networks for Efficient Learning of Time-Dependent PDEs. CoRR Jiahao Zhang, Shiheng Zhang, Guang Lin
2025	J	`jnl`	PO-CKAN:Physics Informed Deep Operator Kolmogorov Arnold Networks with Chunk Rational Structure. CoRR Junyi Wu, Guang Lin
2025	J	`jnl`	Physics Informed Constrained Learning of Dynamics from Static Data. CoRR Pengtao Dang, Tingbo Guo, Melissa Fishel, Guang Lin, Wenzhuo Wu, Sha Cao, Chi Zhang
2025	J	`jnl`	Reduced-Basis Deep Operator Learning for Parametric PDEs with Independently Varying Boundary and Source Data. CoRR Yueqi Wang, Guang Lin
2024	A	`conf`	Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. AISTATS Jinwon Sohn, Qifan Song, Guang Lin
2024	J	`jnl`	LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning. CoRR Shuguang Chen, Guang Lin
2024	J	`jnl`	Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng
2023	J	`jnl`	Federated High-Dimensional Online Decision Making. Trans. Mach. Learn. Res. Chi-hua Wang, Wenjie Li, Guang Lin
2022	J	`jnl`	Deformation Robust Roto-Scale-Translation Equivariant CNNs. Trans. Mach. Learn. Res. Liyao Gao, Guang Lin, Wei Zhu
2021	J	`jnl`	Deformation Robust Roto-Scale-Translation Equivariant CNNs. CoRR Liyao Gao, Guang Lin, Wei Zhu
2021	J	`jnl`	Robust data-driven discovery of partial differential equations with time-dependent coefficients. CoRR Aoxue Chen, Guang Lin
2021	—	`conf`	Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. MICCAI (5) Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng
2020	J	`jnl`	MFPC-Net: Multi-fidelity Physics-Constrained Neural Process. CoRR Yating Wang, Guang Lin
2020	J	`jnl`	Multi-Fidelity Gaussian Process based Empirical Potential Development for Si: H Nanowires. CoRR Moonseop Kim, Huayi Yin, Guang Lin
2020	J	`jnl`	Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression. CoRR Yixiang Deng, Guang Lin, Xiu Yang
2020	J	`jnl`	Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns. CoRR Moonseop Kim, Guang Lin
2020	J	`jnl`	Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks. CoRR Yixuan Sun, Imad Hanhan, Michael D. Sangid, Guang Lin
2020	J	`jnl`	RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors. CoRR Liyao Gao, Yifan Du, Hongshan Li, Guang Lin
2020	J	`jnl`	Spatial Damage Characterization in Self-Sensing Materials via Neural Network-Aided Electrical Impedance Tomography: A Computational Study. CoRR Lang Zhao, Tyler Tallman, Guang Lin
2019	J	`jnl`	Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media. CoRR Yating Wang, Guang Lin
2019	J	`jnl`	Outlier Detection and Correction for Monitoring Data of Water Quality Based on Improved VMD and LSSVM. Complex. Guangpei Sun, Peng Jiang, Huan Xu, Shan-en Yu, Dong Guo, Guang Lin, Hui Wu
2019	J	`jnl`	Reinforcement Learning for Traffic Control with Adaptive Horizon. CoRR Wentao Chen, Tehuan Chen, Guang Lin
2019	J	`jnl`	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 Sheng Zhang, Guang Lin
2016	—	`ch.`	Integrate Big Data for Better Operation, Control, and Protection of Power Systems. Handbook of Big Data Guang Lin
2013	Misc	`conf`	Improved CamShift tracking algorithm based on motion detection. ICMLC Yu-Hui Qui, Jian-Wei Zhang, Guang Lin, Yong-Hui Li, Dong-Fa Gao
2011	—	`conf`	A new IITNAM representation method of gray images. FSKD Yunping Zheng, Zujia Li, Mudar Sarem, Guang Lin, Liqiang Hu