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ORCIDGuo-Wei Wei 0001
Guowei Wei 0001
Person information
- affiliation: Michigan State University, East Lansing, MI, USA
- affiliation (former): National University of Singapore, Singapore
Other persons with the same name
- Guowei Wei — disambiguation page
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2020 – today
- 2024
[j110]Junjie Wee
, Jiahui Chen, Kelin Xia, Guo-Wei Wei:
Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation. Comput. Biol. Medicine 169: 107918 (2024)- [j109]Hongsong Feng, Sean Cottrell, Yuta Hozumi, Guo-Wei Wei:
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data. Comput. Biol. Medicine 171: 108211 (2024) - [j108]Sean Cottrell, Yuta Hozumi, Guo-Wei Wei:
K-nearest-neighbors induced topological PCA for single cell RNA-sequence data analysis. Comput. Biol. Medicine 175: 108497 (2024) - [j107]Junjie Wee, Jiahui Chen, Guo-Wei Wei:
Preventing future zoonosis: SARS-CoV-2 mutations enhance human-animal cross-transmission. Comput. Biol. Medicine 182: 109101 (2024) - [j106]Yuta Hozumi, Guo-Wei Wei:
Analyzing single cell RNA sequencing with topological nonnegative matrix factorization. J. Comput. Appl. Math. 445: 115842 (2024) - [j105]Sheik Ahmed Ullah, Xin Yang, Benjamin Jones, Shan Zhao, Weihua Geng, Guo-Wei Wei:
Bridging Eulerian and Lagrangian Poisson-Boltzmann solvers by ESES. J. Comput. Chem. 45(6): 306-320 (2024) - [j104]Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu:
Editorial: Machine Learning in Bio-cheminformatics. J. Chem. Inf. Model. 64(7): 2125-2128 (2024) - [j103]Sean Cottrell, Rui Wang, Guo-Wei Wei:
PLPCA: Persistent Laplacian-Enhanced PCA for Microarray Data Analysis. J. Chem. Inf. Model. 64(7): 2405-2420 (2024) - [j102]Yuta Hozumi, Kiyoto Aramis Tanemura, Guo-Wei Wei:
Preprocessing of Single Cell RNA Sequencing Data Using Correlated Clustering and Projection. J. Chem. Inf. Model. 64(7): 2829-2838 (2024) - [j101]Zhe Su, Yiying Tong, Guo-Wei Wei:
Hodge Decomposition of Single-Cell RNA Velocity. J. Chem. Inf. Model. 64(8): 3558-3568 (2024) - [j100]Kenneth M. Merz Jr., Yee-Siew Choong, Zoe Cournia, Olexandr Isayev, Thereza A. Soares, Guo-Wei Wei, Feng Zhu:
Editorial: Machine Learning in Materials Science. J. Chem. Inf. Model. 64(10): 3959-3960 (2024) - [j99]Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu:
Editorial: Cutting-Edge Methodologies in Omics Data Analysis. J. Chem. Inf. Model. 64(13): 4939-4940 (2024) - [j98]Junjie Wee, Guo-Wei Wei:
Evaluation of AlphaFold 3's Protein-Protein Complexes for Predicting Binding Free Energy Changes upon Mutation. J. Chem. Inf. Model. 64(16): 6676-6683 (2024) - [j97]Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei:
Persistent Laplacian-enhanced algorithm for scarcely labeled data classification. Mach. Learn. 113(10): 7267-7292 (2024) - [j96]Emily Ribando-Gros, Rui Wang, Jiahui Chen, Yiying Tong, Guo-Wei Wei:
Combinatorial and Hodge Laplacians: Similarities and Differences. SIAM Rev. 66(3): 575-601 (2024) - [c1]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:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [i22]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:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i21]Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei:
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data. CoRR abs/2406.06479 (2024) - [i20]Zhe Su, Yiying Tong, Guo-Wei Wei:
Persistent de Rham-Hodge Laplacians in the Eulerian representation. CoRR abs/2408.00220 (2024) - 2023
- [j95]Ekaterina Merkurjev, Duc Duy Nguyen, Guowei Wei:
Multiscale laplacian learning. Appl. Intell. 53(12): 15727-15746 (2023) - [j94]Yuchi Qiu, Guo-Wei Wei:
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models. Briefings Bioinform. 24(5) (2023) - [j93]Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei:
Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data. Comput. Biol. Medicine 153: 106479 (2023) - [j92]Hongsong Feng, Guo-Wei Wei:
Virtual screening of DrugBank database for hERG blockers using topological Laplacian-assisted AI models. Comput. Biol. Medicine 153: 106491 (2023) - [j91]Hongsong Feng, Rana Elladki, Jian Jiang, Guo-Wei Wei:
Machine-learning analysis of opioid use disorder informed by MOR, DOR, KOR, NOR and ZOR-based interactome networks. Comput. Biol. Medicine 157: 106745 (2023) - [j90]Hongsong Feng, Jian Jiang, Guo-Wei Wei:
Machine-learning repurposing of DrugBank compounds for opioid use disorder. Comput. Biol. Medicine 160: 106921 (2023) - [j89]Jiahui Chen, Daniel R. Woldring, Faqing Huang, Xuefei Huang, Guo-Wei Wei:
Topological deep learning based deep mutational scanning. Comput. Biol. Medicine 164: 107258 (2023) - [j88]Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu:
Editorial: Machine Learning in Bio-cheminformatics. J. Chem. Inf. Model. 63(1): 1 (2023) - [j87]Jiahui Chen, Rui Wang, Yuta Hozumi, Gengzhuo Liu, Yuchi Qiu, Xiaoqi Wei, Guo-Wei Wei:
Emerging Dominant SARS-CoV-2 Variants. J. Chem. Inf. Model. 63(1): 335-342 (2023) - [j86]Zailiang Zhu, Bozheng Dou, Yukang Cao, Jian Jiang, Yueying Zhu, Dong Chen, Hongsong Feng, Jie Liu, Ben-gong Zhang, Tianshou Zhou, Guo-Wei Wei:
TIDAL: Topology-Inferred Drug Addiction Learning. J. Chem. Inf. Model. 63(5): 1472-1489 (2023) - [j85]Kenneth M. Merz Jr., Guo-Wei Wei, Feng Zhu:
Editorial: Harnessing the Power of Large Language Model-Based Chatbots for Scientific Discovery. J. Chem. Inf. Model. 63(17): 5395 (2023) - [j84]Rui Wang, Hongsong Feng, Guo-Wei Wei:
ChatGPT in Drug Discovery: A Case Study on Anticocaine Addiction Drug Development with Chatbots. J. Chem. Inf. Model. 63(22): 7189-7209 (2023) - [j83]Kevin J. Naidoo, Kenneth M. Merz Jr., Guo-Wei Wei:
Modeling Reactions from Chemical Theories to Machine Learning. J. Chem. Inf. Model. 63(23): 7273 (2023) - [j82]Yuchi Qiu, Guo-Wei Wei:
Persistent spectral theory-guided protein engineering. Nat. Comput. Sci. 3(2): 149-163 (2023) - [i19]Guo-Wei Wei:
Topological data analysis hearing the shapes of drums and bells. CoRR abs/2301.05025 (2023) - [i18]Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei:
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification. CoRR abs/2305.16239 (2023) - [i17]Yuchi Qiu, Guo-Wei Wei:
Mathematics-assisted directed evolution and protein engineering. CoRR abs/2306.04658 (2023) - [i16]Sean Cottrell, Rui Wang, Guowei Wei:
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis. CoRR abs/2306.06292 (2023) - [i15]Hongsong Feng, Rui Wang, Chang-Guo Zhan, Guo-Wei Wei:
Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex. CoRR abs/2306.07484 (2023) - [i14]Long Chen, Jian Jiang, Bozheng Dou, Hongsong Feng, Jie Liu, Yueying Zhu, Ben-gong Zhang, Tianshou Zhou, Guo-Wei Wei:
Machine Learning Study of the Extended Drug-target Interaction Network informed by Pain Related Voltage-Gated Sodium Channels. CoRR abs/2307.05794 (2023) - [i13]Rui Wang, Hongsong Feng, Guo-Wei Wei:
Chatbots in Drug Discovery: A Case Study on Anti-Cocaine Addiction Drug Development with ChatGPT. CoRR abs/2308.06920 (2023) - [i12]Jian Liu, Li Shen, Guo-Wei Wei:
ChatGPT for Computational Topology. CoRR abs/2310.07570 (2023) - [i11]Sean Cottrell, Yuta Hozumi, Guo-Wei Wei:
K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis. CoRR abs/2310.14521 (2023) - [i10]Yuta Hozumi, Guo-Wei Wei:
Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization. CoRR abs/2310.15744 (2023) - [i9]Hongyan Du, Guo-Wei Wei, Tingjun Hou:
Multiscale Topology in Interactomic Network: From Transcriptome to Antiaddiction Drug Repurposing. CoRR abs/2312.01272 (2023) - 2022
- [j81]Jiahui Chen, Yuchi Qiu, Rui Wang, Guo-Wei Wei:
Persistent Laplacian projected Omicron BA.4 and BA.5 to become new dominating variants. Comput. Biol. Medicine 151(Part): 106262 (2022) - [j80]Jiahui Chen, Guowei Wei:
Mathematical artificial intelligence design of mutation-proof COVID-19 monoclonal antibodies. Commun. Inf. Syst. 22(3): 339-361 (2022) - [j79]Jiahui Chen, Rui Wang, Nancy Benovich Gilby, Guo-Wei Wei:
Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody Resistance. J. Chem. Inf. Model. 62(2): 412-422 (2022) - [j78]Guo-Wei Wei, Feng Zhu, Kenneth M. Merz Jr.:
Editorial on Machine Learning. J. Chem. Inf. Model. 62(17): 3941 (2022) - [j77]Yuchi Qiu, Guo-Wei Wei:
CLADE 2.0: Evolution-Driven Cluster Learning-Assisted Directed Evolution. J. Chem. Inf. Model. 62(19): 4629-4641 (2022) - [j76]Guo-Wei Wei, Thereza A. Soares, Habibah A. Wahab, Feng Zhu:
Computational Chemistry in Asia. J. Chem. Inf. Model. 62(21): 5035-5037 (2022) - [j75]Thereza A. Soares, Ariane Nunes-Alves, Angelica Mazzolari, Fiorella Ruggiu, Guo-Wei Wei, Kenneth M. Merz Jr.:
The (Re)-Evolution of Quantitative Structure-Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods. J. Chem. Inf. Model. 62(22): 5317-5320 (2022) - [i8]Yuta Hozumi, Rui Wang, Guo-Wei Wei:
CCP: Correlated Clustering and Projection for Dimensionality Reduction. CoRR abs/2206.04189 (2022) - [i7]Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei:
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data. CoRR abs/2211.06759 (2022) - 2021
- [j74]Yuta Hozumi, Rui Wang, Changchuan Yin, Guo-Wei Wei:
UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets. Comput. Biol. Medicine 131: 104264 (2021) - [j73]Timothy Szocinski, Duc Duy Nguyen, Guo-Wei Wei:
AweGNN: Auto-parametrized weighted element-specific graph neural networks for molecules. Comput. Biol. Medicine 134: 104460 (2021) - [j72]Jiahui Chen, Rui Wang, Guo-Wei Wei:
SARS-CoV-2 becoming more infectious as revealed by algebraic topology and deep learning. Commun. Inf. Syst. 21(1): 31-36 (2021) - [j71]Guo-Wei Wei, Thereza A. Soares, Habibah A. Wahab, Renxiao Wang:
Computational Chemistry in Asia. J. Chem. Inf. Model. 61(2): 547 (2021) - [j70]Jian Jiang, Rui Wang, Guo-Wei Wei:
GGL-Tox: Geometric Graph Learning for Toxicity Prediction. J. Chem. Inf. Model. 61(4): 1691-1700 (2021) - [j69]Yuchi Qiu, Jian Hu, Guo-Wei Wei:
Cluster learning-assisted directed evolution. Nat. Comput. Sci. 1(12): 809-818 (2021) - [i6]Ekaterina Merkurjev, Duc Duy Nguyen, Guo-Wei Wei:
Multiscale Laplacian Learning. CoRR abs/2109.03718 (2021) - [i5]Kaifu Gao, Dong Chen, Alfred J. Robison, Guo-Wei Wei:
Proteome-informed machine learning studies of cocaine addiction. CoRR abs/2109.08718 (2021) - [i4]Jiahui Chen, Weihua Geng, Guo-Wei Wei:
MLIMC: Machine learning-based implicit-solvent Monte Carlo. CoRR abs/2109.12100 (2021) - [i3]Azzam Alfarraj, Guo-Wei Wei:
Geometric algebra generation of molecular surfaces. CoRR abs/2112.13204 (2021) - 2020
- [j68]Zixuan Cang, Elizabeth Munch, Guo-Wei Wei:
Evolutionary homology on coupled dynamical systems with applications to protein flexibility analysis. J. Appl. Comput. Topol. 4(4): 481-507 (2020) - [j67]Duc Duy Nguyen, Kaifu Gao, Menglun Wang, Guo-Wei Wei:
MathDL: mathematical deep learning for D3R Grand Challenge 4. J. Comput. Aided Mol. Des. 34(2): 131-147 (2020) - [j66]Kenneth M. Merz Jr., Gianni De Fabritiis, Guo-Wei Wei:
JCIM Special Issue on Generative Models for Molecular Design. J. Chem. Inf. Model. 60(3): 1072 (2020) - [j65]Jian Jiang, Rui Wang, Menglun Wang, Kaifu Gao, Duc Duy Nguyen, Guo-Wei Wei:
Boosting Tree-Assisted Multitask Deep Learning for Small Scientific Datasets. J. Chem. Inf. Model. 60(3): 1235-1244 (2020) - [j64]Kenneth M. Merz Jr., Gianni De Fabritiis, Guo-Wei Wei:
Generative Models for Molecular Design. J. Chem. Inf. Model. 60(12): 5635-5636 (2020) - [j63]Kaifu Gao, Duc Duy Nguyen, Meihua Tu, Guo-Wei Wei:
Generative Network Complex for the Automated Generation of Drug-like Molecules. J. Chem. Inf. Model. 60(12): 5682-5698 (2020) - [j62]Rui Wang, Yuta Hozumi, Changchuan Yin, Guo-Wei Wei:
Decoding SARS-CoV-2 Transmission and Evolution and Ramifications for COVID-19 Diagnosis, Vaccine, and Medicine. J. Chem. Inf. Model. 60(12): 5853-5865 (2020) - [j61]Menglun Wang, Zixuan Cang, Guo-Wei Wei:
A topology-based network tree for the prediction of protein-protein binding affinity changes following mutation. Nat. Mach. Intell. 2(2): 116-123 (2020) - [j60]Zixuan Cang, Guo-Wei Wei:
Persistent Cohomology for Data With Multicomponent Heterogeneous Information. SIAM J. Math. Data Sci. 2(2): 396-418 (2020)
2010 – 2019
- 2019
- [j59]Limei Cheng, Guo-Wei Wei, Tarek Leil:
Review of quantitative systems pharmacological modeling in thrombosis. Commun. Inf. Syst. 19(3): 219-240 (2019) - [j58]Christopher Grow, Kaifu Gao, Duc Duy Nguyen, Guo-Wei Wei:
Generative network complex (GNC) for drug discovery. Commun. Inf. Syst. 19(3): 241-277 (2019) - [j57]Duc Duy Nguyen, Zixuan Cang, Kedi Wu, Menglun Wang, Yin Cao, Guo-Wei Wei:
Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges. J. Comput. Aided Mol. Des. 33(1): 71-82 (2019) - [j56]Duc Duy Nguyen, Guo-Wei Wei:
AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening. J. Chem. Inf. Model. 59(7): 3291-3304 (2019) - [j55]Guo-Wei Wei:
Protein structure prediction beyond AlphaFold. Nat. Mach. Intell. 1(8): 336-337 (2019) - [j54]Rundong Zhao, Mathieu Desbrun, Guo-Wei Wei, Yiying Tong:
3D hodge decompositions of edge- and face-based vector fields. ACM Trans. Graph. 38(6): 181:1-181:13 (2019) - 2018
- [j53]Rundong Zhao, Zixuan Cang, Yiying Tong, Guo-Wei Wei:
Protein pocket detection via convex hull surface evolution and associated Reeb graph. Bioinform. 34(17): i830-i837 (2018) - [j52]Rundong Zhao, Menglun Wang, Yiying Tong, Guo-Wei Wei:
Divide-and-conquer strategy for large-scale Eulerian solvent excluded surface. Commun. Inf. Syst. 18(4): 299-329 (2018) - [j51]Bao Wang, Chengzhang Wang, Kedi Wu, Guo-Wei Wei:
Breaking the polar-nonpolar division in solvation free energy prediction. J. Comput. Chem. 39(4): 217-233 (2018) - [j50]Kedi Wu, Zhixiong Zhao, Renxiao Wang, Guo-Wei Wei:
TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility. J. Comput. Chem. 39(20): 1444-1454 (2018) - [j49]Kedi Wu, Guo-Wei Wei:
Quantitative Toxicity Prediction Using Topology Based Multitask Deep Neural Networks. J. Chem. Inf. Model. 58(2): 520-531 (2018) - [j48]Zixuan Cang, Lin Mu, Guo-Wei Wei:
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening. PLoS Comput. Biol. 14(1) (2018) - 2017
- [j47]Zixuan Cang, Guo-Wei Wei:
Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homology. Bioinform. 33(22): 3549-3557 (2017) - [j46]Lin Mu, Kelin Xia, Guo-Wei Wei:
Geometric and electrostatic modeling using molecular rigidity functions. J. Comput. Appl. Math. 313: 18-37 (2017) - [j45]Yin Cao, Bao Wang, Kelin Xia, Guo-Wei Wei:
Finite volume formulation of the MIB method for elliptic interface problems. J. Comput. Appl. Math. 321: 60-77 (2017) - [j44]Duc Duy Nguyen, Guo-Wei Wei:
The impact of surface area, volume, curvature, and Lennard-Jones potential to solvation modeling. J. Comput. Chem. 38(1): 24-36 (2017) - [j43]Beibei Liu, Bao Wang, Rundong Zhao, Yiying Tong, Guo-Wei Wei:
ESES: Software for Eulerian solvent excluded surface. J. Comput. Chem. 38(7): 446-466 (2017) - [j42]Duc Duy Nguyen, Bao Wang, Guo-Wei Wei:
Accurate, robust, and reliable calculations of Poisson-Boltzmann binding energies. J. Comput. Chem. 38(13): 941-948 (2017) - [j41]Duc Duy Nguyen, Tian Xiao, Menglun Wang, Guo-Wei Wei:
Rigidity Strengthening: A Mechanism for Protein-Ligand Binding. J. Chem. Inf. Model. 57(7): 1715-1721 (2017) - [j40]Zixuan Cang, Guo-Wei Wei:
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions. PLoS Comput. Biol. 13(7) (2017) - [i2]Bao Wang, Zhixiong Zhao, Duc Duy Nguyen, Guo-Wei Wei:
Feature functional theory - binding predictor (FFT-BP) for the blind prediction of binding free energies. CoRR abs/1703.10927 (2017) - [i1]Kedi Wu, Guo-Wei Wei:
Comparison of multi-task convolutional neural network (MT-CNN) and a few other methods for toxicity prediction. CoRR abs/1703.10951 (2017) - 2016
- [j39]Kristopher Opron, Kelin Xia, Zach Burton, Guo-Wei Wei:
Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis. J. Comput. Chem. 37(14): 1283-1295 (2016) - [j38]Bao Wang, Guo-Wei Wei:
Object-oriented persistent homology. J. Comput. Phys. 305: 276-299 (2016) - 2015
- [j37]Bao Wang, Kelin Xia, Guo-Wei Wei:
Matched interface and boundary method for elasticity interface problems. J. Comput. Appl. Math. 285: 203-225 (2015) - [j36]Kelin Xia, Zhixiong Zhao, Guo-Wei Wei:
Multiresolution Topological Simplification. J. Comput. Biol. 22(9): 887-891 (2015) - [j35]Kelin Xia, Xin Feng, Yiying Tong, Guo-Wei Wei:
Persistent homology for the quantitative prediction of fullerene stability. J. Comput. Chem. 36(6): 408-422 (2015) - [j34]Kelin Xia, Guo-Wei Wei:
Multidimensional persistence in biomolecular data. J. Comput. Chem. 36(20): 1502-1520 (2015) - [j33]Langhua Hu, Duan Chen, Guo-Wei Wei:
Impact of geometric, thermal and tunneling effects on nano-transistors. J. Comput. Phys. 290: 169-187 (2015) - [j32]Bao Wang, Kelin Xia, Guo-Wei Wei:
Second order method for solving 3D elasticity equations with complex interfaces. J. Comput. Phys. 294: 405-438 (2015) - 2014
- [j31]Kelin Xia, Guo-Wei Wei:
A Galerkin formulation of the MIB method for three dimensional elliptic interface problems. Comput. Math. Appl. 68(7): 719-745 (2014) - [j30]Kelin Xia, Meng Zhan, Guo-Wei Wei:
MIB Galerkin method for elliptic interface problems. J. Comput. Appl. Math. 272: 195-220 (2014) - [j29]Kelin Xia, Xin Feng, Zhan Chen, Yiying Tong, Guo-Wei Wei:
Multiscale geometric modeling of macromolecules I: Cartesian representation. J. Comput. Phys. 257: 912-936 (2014) - 2013
- [j28]Dennis G. Thomas, Jaehun Chun, Zhan Chen, Guowei Wei, Nathan A. Baker:
Parameterization of a geometric flow implicit solvation model. J. Comput. Chem. 34(8): 687-695 (2013) - [j27]Xin Feng, Kelin Xia, Zhan Chen, Yiying Tong, Guo-Wei Wei:
Multiscale geometric modeling of macromolecules II: Lagrangian representation. J. Comput. Chem. 34(24): 2100-2120 (2013) - [j26]Jinkyoung Park, Guo-Wei Wei:
A molecular level prototype for mechanoelectrical transducer in mammalian hair cells. J. Comput. Neurosci. 35(2): 231-241 (2013) - [j25]Lin Mu, Junping Wang, Guowei Wei, Xiu Ye, Shan Zhao:
Weak Galerkin methods for second order elliptic interface problems. J. Comput. Phys. 250: 106-125 (2013) - 2012
- [j24]Weihong Guo, Lalita Udpa, Yang Wang, Guowei Wei, Shan Zhao:
Mathematical Methods for Images and Surfaces 2011. Int. J. Biomed. Imaging 2012: 419647:1-419647:2 (2012) - [j23]Yang Wang, Guo-Wei Wei, Siyang Yang:
Selective Extraction of Entangled Textures via Adaptive PDE Transform. Int. J. Biomed. Imaging 2012: 958142:1-958142:8 (2012) - [j22]Kelin Xia, Meng Zhan, Decheng Wan, Guo-Wei Wei:
Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients. J. Comput. Phys. 231(4): 1440-1461 (2012) - [j21]Yang Wang, Guo-Wei Wei, Siyang Yang:
Mode Decomposition Evolution Equations. J. Sci. Comput. 50(3): 495-518 (2012) - [j20]Yang Wang, Guo-Wei Wei, Siyang Yang:
Iterative Filtering Decomposition Based on Local Spectral Evolution Kernel. J. Sci. Comput. 50(3): 629-664 (2012) - [j19]Guo-Wei Wei, Qiong Zheng, Zhan Chen, Kelin Xia:
Variational Multiscale Models for Charge Transport. SIAM Rev. 54(4): 699-754 (2012) - 2011
- [j18]Duan Chen, Zhan Chen, Changjun Chen, Weihua Geng, Guo-Wei Wei:
MIBPB: A software package for electrostatic analysis. J. Comput. Chem. 32(4): 756-770 (2011) - [j17]Weihua Geng, Guo-Wei Wei:
Multiscale molecular dynamics using the matched interface and boundary method. J. Comput. Phys. 230(2): 435-457 (2011) - [j16]Kelin Xia, Meng Zhan, Guo-Wei Wei:
MIB method for elliptic equations with multi-material interfaces. J. Comput. Phys. 230(12): 4588-4615 (2011) - [j15]Qiong Zheng, Duan Chen, Guo-Wei Wei:
Second-order Poisson-Nernst-Planck solver for ion transport. J. Comput. Phys. 230(13): 5239-5262 (2011) - 2010
- [j14]Changjun Chen, Rishu Saxena, Guo-Wei Wei:
A Multiscale Model for Virus Capsid Dynamics. Int. J. Biomed. Imaging 2010: 308627:1-308627:9 (2010) - [j13]Guowei Wei, Lalita Udpa, Yang Wang, Shan Zhao:
Mathematical Methods for Images and Surfaces. Int. J. Biomed. Imaging 2010: 918467:1-918467:3 (2010) - [j12]Duan Chen, Guo-Wei Wei:
Modeling and simulation of electronic structure, material interface and random doping in nano-electronic devices. J. Comput. Phys. 229(12): 4431-4460 (2010)
2000 – 2009
- 2008
- [j11]Yongcheng Zhou, Michael Feig, Guo-Wei Wei:
Highly accurate biomolecular electrostatics in continuum dielectric environments. J. Comput. Chem. 29(1): 87-97 (2008) - [j10]Peter W. Bates, Guo-Wei Wei, Shan Zhao:
Minimal molecular surfaces and their applications. J. Comput. Chem. 29(3): 380-391 (2008) - 2007
- [j9]Sining Yu, Yongcheng Zhou, Guo-Wei Wei:
Matched interface and boundary (MIB) method for elliptic problems with sharp-edged interfaces. J. Comput. Phys. 224(2): 729-756 (2007) - [j8]Guo-Wei Wei, Shan Zhao:
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. 226(2): 2389-2392 (2007) - 2006
- [j7]Guowei Wei:
Recent Advances in Mathematical Methods for the Analysis of Biomedical Image. Int. J. Biomed. Imaging 2006: 70578:1 (2006) - [j6]Yongcheng Zhou, Shan Zhao, Michael Feig, Guo-Wei Wei:
High order matched interface and boundary method for elliptic equations with discontinuous coefficients and singular sources. J. Comput. Phys. 213(1): 1-30 (2006) - [j5]Yongcheng Zhou, Guo-Wei Wei:
On the fictitious-domain and interpolation formulations of the matched interface and boundary (MIB) method. J. Comput. Phys. 219(1): 228-246 (2006) - 2005
- [j4]Shan Zhao, Guo-Wei Wei:
Option valuation by using discrete singular convolution. Appl. Math. Comput. 167(1): 383-418 (2005) - 2003
- [j3]Shan Zhao, Guo-Wei Wei:
Jump process for the trend estimation of time series. Comput. Stat. Data Anal. 42(1-2): 219-241 (2003) - [j2]Shan Zhao, Guo-Wei Wei:
Comparison of the Discrete Singular Convolution and Three Other Numerical Schemes for Solving Fisher's Equation. SIAM J. Sci. Comput. 25(1): 127-147 (2003) - 2002
- [j1]Zujun Hou, Guo-Wei Wei:
A new approach to edge detection. Pattern Recognit. 35(7): 1559-1570 (2002)
Coauthor Index
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