Guo-Wei Wei - RankMe

140 papers A* 1Journal 139

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell RNA-seq Analysis. CoRR Xiang Xiang Wang, Guo-Wei Wei
2026	J	`jnl`	Commutative Algebra Modeling in Materials Science - A Case Study on Metal-Organic Frameworks (MOFs). J. Chem. Inf. Model. Caleb Simiyu Khaemba, Hongsong Feng, Dong Chen, Chun-Long Chen, Guo-Wei Wei
2026	J	`jnl`	Multi-dimensional Persistent Sheaf Laplacians for Image Analysis. CoRR Xiang Xiang Wang, Guo-Wei Wei
2026	J	`jnl`	Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation. CoRR Yiming Ren, Junjie Wee, Xi Chen, Grace Qian, Guo-Wei Wei
2026	J	`jnl`	Topological data analysis and topological deep learning beyond persistent homology: a review. Artif. Intell. Rev. Zhe Su, Xiang Liu, Layal Bou Hamdan, Vasileios Maroulas, Jie Wu, Gunnar Carlsson, Guo-Wei Wei
2025	J	`jnl`	CAML: Commutative Algebra Machine Learning─A Case Study on Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. Hongsong Feng, Faisal Suwayyid, Mushal Zia, Junjie Wee, Yuta Hozumi, Chun-Long Chen, Guo-Wei Wei
2025	J	`jnl`	CAP: Commutative algebra prediction of protein-nucleic acid binding affinities. Mach. Learn. Sci. Technol. Mushal Zia, Faisal Suwayyid, Yuta Hozumi, Junjie Wee, Hongsong Feng, Guo-Wei Wei
2025	J	`jnl`	Interaction Topological Transformer for Multiscale Learning in Porous Materials. CoRR Dong Chen, Jian Liu, Chun-Long Chen, Guo-Wei Wei
2025	J	`jnl`	Manifold Topological Deep Learning for Biomedical Data. CoRR Xiang Liu, Zhe Su, Yongyi Shi, Yiying Tong, Ge Wang, Guo-Wei Wei
2025	J	`jnl`	Multiscale Differential Geometry Learning for Protein Flexibility Analysis. J. Comput. Chem. Hongsong Feng, Jeffrey Y. Zhao, Guo-Wei Wei
2025	J	`jnl`	Multiscale Grassmann Manifolds for Single-Cell Data Analysis. CoRR Xiang Xiang Wang, Sean Cottrell, Guo-Wei Wei
2025	J	`jnl`	Proteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia. J. Chem. Inf. Model. Jian Jiang, Long Chen, Yueying Zhu, Yazhou Shi, Huahai Qiu, Bengong Zhang, Tianshou Zhou, Guo-Wei Wei
2025	J	`jnl`	Topological machine learning for protein-nucleic acid binding affinity changes upon mutation. Mach. Learn. Sci. Technol. Xiang Liu, Junjie Wee, Guo-Wei Wei
2024	J	`jnl`	Analyzing single cell RNA sequencing with topological nonnegative matrix factorization. J. Comput. Appl. Math. Yuta Hozumi, Guo-Wei Wei
2024	J	`jnl`	Bridging Eulerian and Lagrangian Poisson-Boltzmann solvers by ESES. J. Comput. Chem. Sheik Ahmed Ullah, Xin Yang, Benjamin Jones, Shan Zhao, Weihua Geng, Guo-Wei Wei
2024	J	`jnl`	Combinatorial and Hodge Laplacians: Similarities and Differences. SIAM Rev. Emily Ribando-Gros, Rui Wang, Jiahui Chen, Yiying Tong, Guo-Wei Wei
2024	J	`jnl`	Editorial: Cutting-Edge Methodologies in Omics Data Analysis. J. Chem. Inf. Model. Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu
2024	J	`jnl`	Editorial: Machine Learning in Bio-cheminformatics. J. Chem. Inf. Model. Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu
2024	J	`jnl`	Editorial: Machine Learning in Materials Science. J. Chem. Inf. Model. Kenneth M. Merz Jr., Yee-Siew Choong, Zoe Cournia, Olexandr Isayev, Thereza A. Soares, Guo-Wei Wei, Feng Zhu
2024	J	`jnl`	Evaluation of AlphaFold 3's Protein-Protein Complexes for Predicting Binding Free Energy Changes upon Mutation. J. Chem. Inf. Model. Junjie Wee, Guo-Wei Wei
2024	J	`jnl`	Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data. CoRR Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
2024	J	`jnl`	Hodge Decomposition of Single-Cell RNA Velocity. J. Chem. Inf. Model. Zhe Su, Yiying Tong, Guo-Wei Wei
2024	J	`jnl`	Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation. Comput. Biol. Medicine Junjie Wee, Jiahui Chen, Kelin Xia, Guo-Wei Wei
2024	J	`jnl`	K-nearest-neighbors induced topological PCA for single cell RNA-sequence data analysis. Comput. Biol. Medicine Sean Cottrell, Yuta Hozumi, Guo-Wei Wei
2024	J	`jnl`	Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data. Comput. Biol. Medicine Hongsong Feng, Sean Cottrell, Yuta Hozumi, Guo-Wei Wei
2024	J	`jnl`	Multiscale topology in interactomic network: from transcriptome to antiaddiction drug repurposing. Briefings Bioinform. Hongyan Du, Guo-Wei Wei, Tingjun Hou
2024	J	`jnl`	Multiscale topology-enabled structure-to-sequence transformer for protein-ligand interaction predictions. Nat. Mac. Intell. Dong Chen, Jian Liu, Guo-Wei Wei
2024	J	`jnl`	PLPCA: Persistent Laplacian-Enhanced PCA for Microarray Data Analysis. J. Chem. Inf. Model. Sean Cottrell, Rui Wang, Guo-Wei Wei
2024	J	`jnl`	Persistent Laplacian-enhanced algorithm for scarcely labeled data classification. Mach. Learn. Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei
2024	J	`jnl`	Persistent de Rham-Hodge Laplacians in the Eulerian representation. CoRR Zhe Su, Yiying Tong, Guo-Wei Wei
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024	J	`jnl`	Preprocessing of Single Cell RNA Sequencing Data Using Correlated Clustering and Projection. J. Chem. Inf. Model. Yuta Hozumi, Kiyoto Aramis Tanemura, Guo-Wei Wei
2024	J	`jnl`	Preventing future zoonosis: SARS-CoV-2 mutations enhance human-animal cross-transmission. Comput. Biol. Medicine Junjie Wee, Jiahui Chen, Guo-Wei Wei
2023	J	`jnl`	Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization. CoRR Yuta Hozumi, Guo-Wei Wei
2023	J	`jnl`	Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models. Briefings Bioinform. Yuchi Qiu, Guo-Wei Wei
2023	J	`jnl`	ChatGPT for Computational Topology. CoRR Jian Liu, Li Shen, Guo-Wei Wei
2023	J	`jnl`	ChatGPT in Drug Discovery: A Case Study on Anticocaine Addiction Drug Development with Chatbots. J. Chem. Inf. Model. Rui Wang, Hongsong Feng, Guo-Wei Wei
2023	J	`jnl`	Chatbots in Drug Discovery: A Case Study on Anti-Cocaine Addiction Drug Development with ChatGPT. CoRR Rui Wang, Hongsong Feng, Guo-Wei Wei
2023	J	`jnl`	Editorial: Harnessing the Power of Large Language Model-Based Chatbots for Scientific Discovery. J. Chem. Inf. Model. Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu
2023	J	`jnl`	Editorial: Machine Learning in Bio-cheminformatics. J. Chem. Inf. Model. Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu
2023	J	`jnl`	Emerging Dominant SARS-CoV-2 Variants. J. Chem. Inf. Model. Jiahui Chen, Rui Wang, Yuta Hozumi, Gengzhuo Liu, Yuchi Qiu, Xiaoqi Wei, Guo-Wei Wei
2023	J	`jnl`	Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data. Comput. Biol. Medicine Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
2023	J	`jnl`	K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis. CoRR Sean Cottrell, Yuta Hozumi, Guo-Wei Wei
2023	J	`jnl`	Machine Learning Study of the Extended Drug-target Interaction Network informed by Pain Related Voltage-Gated Sodium Channels. CoRR Long Chen, Jian Jiang, Bozheng Dou, Hongsong Feng, Jie Liu, Yueying Zhu, Ben-gong Zhang, Tianshou Zhou, Guo-Wei Wei
2023	J	`jnl`	Machine-learning analysis of opioid use disorder informed by MOR, DOR, KOR, NOR and ZOR-based interactome networks. Comput. Biol. Medicine Hongsong Feng, Rana Elladki, Jian Jiang, Guo-Wei Wei
2023	J	`jnl`	Machine-learning repurposing of DrugBank compounds for opioid use disorder. Comput. Biol. Medicine Hongsong Feng, Jian Jiang, Guo-Wei Wei
2023	J	`jnl`	Mathematics-assisted directed evolution and protein engineering. CoRR Yuchi Qiu, Guo-Wei Wei
2023	J	`jnl`	Modeling Reactions from Chemical Theories to Machine Learning. J. Chem. Inf. Model. Kevin J. Naidoo, Kenneth M. Merz Jr., Guo-Wei Wei
2023	J	`jnl`	Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex. CoRR Hongsong Feng, Rui Wang, Chang-Guo Zhan, Guo-Wei Wei
2023	J	`jnl`	Multiscale Topology in Interactomic Network: From Transcriptome to Antiaddiction Drug Repurposing. CoRR Hongyan Du, Guo-Wei Wei, Tingjun Hou
2023	J	`jnl`	Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification. CoRR Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei
2023	J	`jnl`	Persistent spectral theory-guided protein engineering. Nat. Comput. Sci. Yuchi Qiu, Guo-Wei Wei
2023	J	`jnl`	TIDAL: Topology-Inferred Drug Addiction Learning. J. Chem. Inf. Model. Zailiang Zhu, Bozheng Dou, Yukang Cao, Jian Jiang, Yueying Zhu, Dong Chen, Hongsong Feng, Jie Liu, Ben-gong Zhang, Tianshou Zhou, Guo-Wei Wei
2023	J	`jnl`	Topological data analysis hearing the shapes of drums and bells. CoRR Guo-Wei Wei
2023	J	`jnl`	Topological deep learning based deep mutational scanning. Comput. Biol. Medicine Jiahui Chen, Daniel R. Woldring, Faqing Huang, Xuefei Huang, Guo-Wei Wei
2023	J	`jnl`	Virtual screening of DrugBank database for hERG blockers using topological Laplacian-assisted AI models. Comput. Biol. Medicine Hongsong Feng, Guo-Wei Wei
2022	J	`jnl`	CCP: Correlated Clustering and Projection for Dimensionality Reduction. CoRR Yuta Hozumi, Rui Wang, Guo-Wei Wei
2022	J	`jnl`	CLADE 2.0: Evolution-Driven Cluster Learning-Assisted Directed Evolution. J. Chem. Inf. Model. Yuchi Qiu, Guo-Wei Wei
2022	J	`jnl`	Computational Chemistry in Asia. J. Chem. Inf. Model. Guo-Wei Wei, Thereza A. Soares, Habibah A. Wahab, Feng Zhu
2022	J	`jnl`	Editorial on Machine Learning. J. Chem. Inf. Model. Guo-Wei Wei, Feng Zhu, Kenneth M. Merz Jr.
2022	J	`jnl`	Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data. CoRR Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
2022	J	`jnl`	Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody Resistance. J. Chem. Inf. Model. Jiahui Chen, Rui Wang, Nancy Benovich Gilby, Guo-Wei Wei
2022	J	`jnl`	Persistent Laplacian projected Omicron BA.4 and BA.5 to become new dominating variants. Comput. Biol. Medicine Jiahui Chen, Yuchi Qiu, Rui Wang, Guo-Wei Wei
2022	J	`jnl`	The (Re)-Evolution of Quantitative Structure-Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods. J. Chem. Inf. Model. Thereza A. Soares, Ariane Nunes-Alves, Angelica Mazzolari, Fiorella Ruggiu, Guo-Wei Wei, Kenneth M. Merz Jr.
2021	J	`jnl`	AweGNN: Auto-parametrized weighted element-specific graph neural networks for molecules. Comput. Biol. Medicine Timothy Szocinski, Duc Duy Nguyen, Guo-Wei Wei
2021	J	`jnl`	Cluster learning-assisted directed evolution. Nat. Comput. Sci. Yuchi Qiu, Jian Hu, Guo-Wei Wei
2021	J	`jnl`	Computational Chemistry in Asia. J. Chem. Inf. Model. Guo-Wei Wei, Thereza A. Soares, Habibah A. Wahab, Renxiao Wang
2021	J	`jnl`	GGL-Tox: Geometric Graph Learning for Toxicity Prediction. J. Chem. Inf. Model. Jian Jiang, Rui Wang, Guo-Wei Wei
2021	J	`jnl`	Geometric algebra generation of molecular surfaces. CoRR Azzam Alfarraj, Guo-Wei Wei
2021	J	`jnl`	MLIMC: Machine learning-based implicit-solvent Monte Carlo. CoRR Jiahui Chen, Weihua Geng, Guo-Wei Wei
2021	J	`jnl`	Multiscale Laplacian Learning. CoRR Ekaterina Merkurjev, Duc Duy Nguyen, Guo-Wei Wei
2021	J	`jnl`	Proteome-informed machine learning studies of cocaine addiction. CoRR Kaifu Gao, Dong Chen, Alfred J. Robison, Guo-Wei Wei
2021	J	`jnl`	SARS-CoV-2 becoming more infectious as revealed by algebraic topology and deep learning. Commun. Inf. Syst. Jiahui Chen, Rui Wang, Guo-Wei Wei
2021	J	`jnl`	UMAP-assisted Comput. Biol. Medicine Yuta Hozumi, Rui Wang, Changchuan Yin, Guo-Wei Wei
2020	J	`jnl`	A topology-based network tree for the prediction of protein-protein binding affinity changes following mutation. Nat. Mach. Intell. Menglun Wang, Zixuan Cang, Guo-Wei Wei
2020	J	`jnl`	Boosting Tree-Assisted Multitask Deep Learning for Small Scientific Datasets. J. Chem. Inf. Model. Jian Jiang, Rui Wang, Menglun Wang, Kaifu Gao, Duc Duy Nguyen, Guo-Wei Wei
2020	J	`jnl`	Decoding SARS-CoV-2 Transmission and Evolution and Ramifications for COVID-19 Diagnosis, Vaccine, and Medicine. J. Chem. Inf. Model. Rui Wang, Yuta Hozumi, Changchuan Yin, Guo-Wei Wei
2020	J	`jnl`	Evolutionary homology on coupled dynamical systems with applications to protein flexibility analysis. J. Appl. Comput. Topol. Zixuan Cang, Elizabeth Munch, Guo-Wei Wei
2020	J	`jnl`	Generative Models for Molecular Design. J. Chem. Inf. Model. Kenneth M. Merz Jr., Gianni De Fabritiis, Guo-Wei Wei
2020	J	`jnl`	Generative Network Complex for the Automated Generation of Drug-like Molecules. J. Chem. Inf. Model. Kaifu Gao, Duc Duy Nguyen, Meihua Tu, Guo-Wei Wei
2020	J	`jnl`	JCIM Special Issue on Generative Models for Molecular Design. J. Chem. Inf. Model. Kenneth M. Merz Jr., Gianni De Fabritiis, Guo-Wei Wei
2020	J	`jnl`	MathDL: mathematical deep learning for D3R Grand Challenge 4. J. Comput. Aided Mol. Des. Duc Duy Nguyen, Kaifu Gao, Menglun Wang, Guo-Wei Wei
2020	J	`jnl`	Persistent Cohomology for Data With Multicomponent Heterogeneous Information. SIAM J. Math. Data Sci. Zixuan Cang, Guo-Wei Wei
2019	J	`jnl`	3D hodge decompositions of edge- and face-based vector fields. ACM Trans. Graph. Rundong Zhao, Mathieu Desbrun, Guo-Wei Wei, Yiying Tong
2019	J	`jnl`	AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening. J. Chem. Inf. Model. Duc Duy Nguyen, Guo-Wei Wei
2019	J	`jnl`	Generative network complex (GNC) for drug discovery. Commun. Inf. Syst. Christopher Grow, Kaifu Gao, Duc Duy Nguyen, Guo-Wei Wei
2019	J	`jnl`	Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges. J. Comput. Aided Mol. Des. Duc Duy Nguyen, Zixuan Cang, Kedi Wu, Menglun Wang, Yin Cao, Guo-Wei Wei
2019	J	`jnl`	Protein structure prediction beyond AlphaFold. Nat. Mach. Intell. Guo-Wei Wei
2019	J	`jnl`	Review of quantitative systems pharmacological modeling in thrombosis. Commun. Inf. Syst. Limei Cheng, Guo-Wei Wei, Tarek Leil
2018	J	`jnl`	Breaking the polar-nonpolar division in solvation free energy prediction. J. Comput. Chem. Bao Wang, Chengzhang Wang, Kedi Wu, Guo-Wei Wei
2018	J	`jnl`	Divide-and-conquer strategy for large-scale Eulerian solvent excluded surface. Commun. Inf. Syst. Rundong Zhao, Menglun Wang, Yiying Tong, Guo-Wei Wei
2018	J	`jnl`	Protein pocket detection via convex hull surface evolution and associated Reeb graph. Bioinform. Rundong Zhao, Zixuan Cang, Yiying Tong, Guo-Wei Wei
2018	J	`jnl`	Quantitative Toxicity Prediction Using Topology Based Multitask Deep Neural Networks. J. Chem. Inf. Model. Kedi Wu, Guo-Wei Wei
2018	J	`jnl`	Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening. PLoS Comput. Biol. Zixuan Cang, Lin Mu, Guo-Wei Wei
2018	J	`jnl`	TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility. J. Comput. Chem. Kedi Wu, Zhixiong Zhao, Renxiao Wang, Guo-Wei Wei
2017	J	`jnl`	Accurate, robust, and reliable calculations of Poisson-Boltzmann binding energies. J. Comput. Chem. Duc Duy Nguyen, Bao Wang, Guo-Wei Wei
2017	J	`jnl`	Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homology. Bioinform. Zixuan Cang, Guo-Wei Wei
2017	J	`jnl`	Comparison of multi-task convolutional neural network (MT-CNN) and a few other methods for toxicity prediction. CoRR Kedi Wu, Guo-Wei Wei
2017	J	`jnl`	ESES: Software for Eulerian solvent excluded surface. J. Comput. Chem. Beibei Liu, Bao Wang, Rundong Zhao, Yiying Tong, Guo-Wei Wei
2017	J	`jnl`	Feature functional theory - binding predictor (FFT-BP) for the blind prediction of binding free energies. CoRR Bao Wang, Zhixiong Zhao, Duc Duy Nguyen, Guo-Wei Wei
2017	J	`jnl`	Finite volume formulation of the MIB method for elliptic interface problems. J. Comput. Appl. Math. Yin Cao, Bao Wang, Kelin Xia, Guo-Wei Wei
2017	J	`jnl`	Geometric and electrostatic modeling using molecular rigidity functions. J. Comput. Appl. Math. Lin Mu, Kelin Xia, Guo-Wei Wei
2017	J	`jnl`	Rigidity Strengthening: A Mechanism for Protein-Ligand Binding. J. Chem. Inf. Model. Duc Duy Nguyen, Tian Xiao, Menglun Wang, Guo-Wei Wei
2017	J	`jnl`	The impact of surface area, volume, curvature, and Lennard-Jones potential to solvation modeling. J. Comput. Chem. Duc Duy Nguyen, Guo-Wei Wei
2017	J	`jnl`	TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions. PLoS Comput. Biol. Zixuan Cang, Guo-Wei Wei
2016	J	`jnl`	Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis. J. Comput. Chem. Kristopher Opron, Kelin Xia, Zach Burton, Guo-Wei Wei
2016	J	`jnl`	Object-oriented persistent homology. J. Comput. Phys. Bao Wang, Guo-Wei Wei
2015	J	`jnl`	Impact of geometric, thermal and tunneling effects on nano-transistors. J. Comput. Phys. Langhua Hu, Duan Chen, Guo-Wei Wei
2015	J	`jnl`	Matched interface and boundary method for elasticity interface problems. J. Comput. Appl. Math. Bao Wang, Kelin Xia, Guo-Wei Wei
2015	J	`jnl`	Multidimensional persistence in biomolecular data. J. Comput. Chem. Kelin Xia, Guo-Wei Wei
2015	J	`jnl`	Multiresolution Topological Simplification. J. Comput. Biol. Kelin Xia, Zhixiong Zhao, Guo-Wei Wei
2015	J	`jnl`	Persistent homology for the quantitative prediction of fullerene stability. J. Comput. Chem. Kelin Xia, Xin Feng, Yiying Tong, Guo-Wei Wei
2015	J	`jnl`	Second order method for solving 3D elasticity equations with complex interfaces. J. Comput. Phys. Bao Wang, Kelin Xia, Guo-Wei Wei
2014	J	`jnl`	A Galerkin formulation of the MIB method for three dimensional elliptic interface problems. Comput. Math. Appl. Kelin Xia, Guo-Wei Wei
2014	J	`jnl`	MIB Galerkin method for elliptic interface problems. J. Comput. Appl. Math. Kelin Xia, Meng Zhan, Guo-Wei Wei
2014	J	`jnl`	Multiscale geometric modeling of macromolecules I: Cartesian representation. J. Comput. Phys. Kelin Xia, Xin Feng, Zhan Chen, Yiying Tong, Guo-Wei Wei
2013	J	`jnl`	A molecular level prototype for mechanoelectrical transducer in mammalian hair cells. J. Comput. Neurosci. Jinkyoung Park, Guo-Wei Wei
2013	J	`jnl`	Multiscale geometric modeling of macromolecules II: Lagrangian representation. J. Comput. Chem. Xin Feng, Kelin Xia, Zhan Chen, Yiying Tong, Guo-Wei Wei
2012	J	`jnl`	Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients. J. Comput. Phys. Kelin Xia, Meng Zhan, Decheng Wan, Guo-Wei Wei
2012	J	`jnl`	Iterative Filtering Decomposition Based on Local Spectral Evolution Kernel. J. Sci. Comput. Yang Wang, Guo-Wei Wei, Siyang Yang
2012	J	`jnl`	Mode Decomposition Evolution Equations. J. Sci. Comput. Yang Wang, Guo-Wei Wei, Siyang Yang
2012	J	`jnl`	Selective Extraction of Entangled Textures via Adaptive PDE Transform. Int. J. Biomed. Imaging Yang Wang, Guo-Wei Wei, Siyang Yang
2012	J	`jnl`	Variational Multiscale Models for Charge Transport. SIAM Rev. Guo-Wei Wei, Qiong Zheng, Zhan Chen, Kelin Xia
2011	J	`jnl`	MIB method for elliptic equations with multi-material interfaces. J. Comput. Phys. Kelin Xia, Meng Zhan, Guo-Wei Wei
2011	J	`jnl`	MIBPB: A software package for electrostatic analysis. J. Comput. Chem. Duan Chen, Zhan Chen, Changjun Chen, Weihua Geng, Guo-Wei Wei
2011	J	`jnl`	Multiscale molecular dynamics using the matched interface and boundary method. J. Comput. Phys. Weihua Geng, Guo-Wei Wei
2011	J	`jnl`	Second-order Poisson-Nernst-Planck solver for ion transport. J. Comput. Phys. Qiong Zheng, Duan Chen, Guo-Wei Wei
2010	J	`jnl`	A Multiscale Model for Virus Capsid Dynamics. Int. J. Biomed. Imaging Changjun Chen, Rishu Saxena, Guo-Wei Wei
2010	J	`jnl`	Modeling and simulation of electronic structure, material interface and random doping in nano-electronic devices. J. Comput. Phys. Duan Chen, Guo-Wei Wei
2008	J	`jnl`	Highly accurate biomolecular electrostatics in continuum dielectric environments. J. Comput. Chem. Yongcheng Zhou, Michael Feig, Guo-Wei Wei
2008	J	`jnl`	Minimal molecular surfaces and their applications. J. Comput. Chem. Peter W. Bates, Guo-Wei Wei, Shan Zhao
2007	J	`jnl`	Matched interface and boundary (MIB) method for elliptic problems with sharp-edged interfaces. J. Comput. Phys. Sining Yu, Yongcheng Zhou, Guo-Wei Wei
2007	J	`jnl`	On the validity of "A proof that the discrete singular convolution (DSC)/Lagrange-distributed approximation function (LDAF) method is inferior to high order finite differences". J. Comput. Phys. Guo-Wei Wei, Shan Zhao
2006	J	`jnl`	High order matched interface and boundary method for elliptic equations with discontinuous coefficients and singular sources. J. Comput. Phys. Yongcheng Zhou, Shan Zhao, Michael Feig, Guo-Wei Wei
2006	J	`jnl`	On the fictitious-domain and interpolation formulations of the matched interface and boundary (MIB) method. J. Comput. Phys. Yongcheng Zhou, Guo-Wei Wei
2005	J	`jnl`	Option valuation by using discrete singular convolution. Appl. Math. Comput. Shan Zhao, Guo-Wei Wei
2003	J	`jnl`	Comparison of the Discrete Singular Convolution and Three Other Numerical Schemes for Solving Fisher's Equation. SIAM J. Sci. Comput. Shan Zhao, Guo-Wei Wei
2003	J	`jnl`	Jump process for the trend estimation of time series. Comput. Stat. Data Anal. Shan Zhao, Guo-Wei Wei
2002	J	`jnl`	A new approach to edge detection. Pattern Recognit. Zujun Hou, Guo-Wei Wei