Select Publications

Book Chapters

Zhou Y; Wang YG, 2025, 'Generative models for drug design', in Deep Learning in Drug Design Methods and Applications, pp. 109 - 132, http://dx.doi.org/10.1016/B978-0-44-332908-1.00015-5

Ding Y; Shen Y; Yi K; Wang YG, 2025, 'GNNs in drug design', in Deep Learning in Drug Design Methods and Applications, pp. 31 - 50, http://dx.doi.org/10.1016/B978-0-44-332908-1.00011-8

Shen Y; Lv O; Zhu H; Wang YG, 2024, 'ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering', in , pp. 373 - 383, http://dx.doi.org/10.1007/978-3-031-66538-7_37

Hallett N; Hodge C; You JJ; Wang YG; Sutton G, 2022, 'Artificial Intelligence in the Diagnosis and Management of Keratoconus', in Keratoconus Diagnosis and Treatment, pp. 275 - 289, http://dx.doi.org/10.1007/978-981-19-4262-4_22

Wang YG; Zhu H, 2018, 'Analysis of framelet transforms on a simplex', in Contemporary Computational Mathematics A Celebration of the 80th Birthday of Ian Sloan, Springer Nature, pp. 1175 - 1189, http://dx.doi.org/10.1007/978-3-319-72456-0_54

Journal articles

Wang Y; Liu Y; Chao T; Li Q; Wang Y; Zhao Q; Wang Y, 2026, 'High efficiency adsorption of Cd(II) by KHCO3-activated Fe/Mn co-modified peanut shell biochar: adsorption performance, mechanisms, and life cycle assessment', CHEMICAL ENGINEERING SCIENCE, 321, http://dx.doi.org/10.1016/j.ces.2025.122747

Wang C; Li M; He J; Wang Z; Darzi E; Chen Z; Ye J; Li T; Su Y; Ke J; Qu K; Li S; Yu Y; Liò P; Wang T; Wang YG; Shen Y, 2025, 'A survey for large language models in biomedicine', Artificial Intelligence in Medicine, 170, http://dx.doi.org/10.1016/j.artmed.2025.103268

Zeng DW; Zhu YF; Jiang YH; Ding YH; Wang ZZ; Li K; Liao S; Fan YC; Zhang L; Wang YG; Zhao XQ, 2025, 'Establishment of succinic acid production in recombinant Kluyveromyces marxianus enhanced by AI-guided enzyme specificity engineering and redox-controlled fermentation optimization', Chemical Engineering Journal, 523, http://dx.doi.org/10.1016/j.cej.2025.168210

Li S; Wang Y; Zhou W; Wang Y; Zhang Z; Wu Z; Tu B; Xiao C; Liu D; Yan J; Ma Z; Gao Y, 2025, 'Comprehensive Proteomics Profiling Reveals Biomarkers of Oxidative Stress and Membrane Integrity in Red Blood Cells in Acute Altitude Sickness', ACS OMEGA, 10, pp. 49870 - 49886, http://dx.doi.org/10.1021/acsomega.5c05768

Wang Y; Chao T; Li Q; Jiao Z; Ruan X; Wang Y; Ge S; Wang Y, 2025, 'Toxic Metals in Surface Dust in Underground Parking Garages: Pollution Status, Risk and Disease Burden Assessment, and Source Apportionment', TOXICS, 13, http://dx.doi.org/10.3390/toxics13100895

Liu X; Zhou B; Zhang C; Wang YG, 2025, 'Framelet message passing', Applied and Computational Harmonic Analysis, 78, http://dx.doi.org/10.1016/j.acha.2025.101773

Tan J; Li X; Wang Y; Wang L; Zhao X; Wang Y; Cui M, 2025, 'EIF3B stabilizes MAP2K2 to activate the ERK pathway and promote the progression of laryngeal squamous cell carcinoma', CELL DEATH DISCOVERY, 11, http://dx.doi.org/10.1038/s41420-025-02634-2

Sun X; Wang YG; Shen Y, 2025, 'A multimodal deep learning framework for enzyme turnover prediction with missing modality', Computers in Biology and Medicine, 193, http://dx.doi.org/10.1016/j.compbiomed.2025.110348

Chen M; Liu J; Kong Y; Zheng W; Wang Y; Zou X; Wang Y; Wang Y, 2025, 'Facile synthesis of surface-etched functionalized porous nanosilica microspheres for the simultaneous removal of cadmium and malachite green: Experimental and DFT studies', SEPARATION AND PURIFICATION TECHNOLOGY, 353, http://dx.doi.org/10.1016/j.seppur.2024.128585

Yi K; Fan Y; Hamann J; Liò P; Wang YG, 2024, 'ABCMB: deep delensing assisted likelihood-free inference from CMB polarization maps', Machine Learning Science and Technology, 5, http://dx.doi.org/10.1088/2632-2153/ad9af9

Chen H; Lei L; Li Z; Zhou H; Cheng H; Chen Z; Wang Y; Wang Y, 2024, 'Redundancy and resilience of microbial community under aniline stress during wastewater treatment', SCIENCE OF THE TOTAL ENVIRONMENT, 951, http://dx.doi.org/10.1016/j.scitotenv.2024.175822

Wang T; Xiang G; He S; Su L; Wang Y; Yan X; Lu H, 2024, 'DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures', Briefings in Bioinformatics, 25, http://dx.doi.org/10.1093/bib/bbae409

Gao R; Yuan X; Ma Y; Wei T; Johnston L; Shao Y; Lv W; Zhu T; Zhang Y; Zheng J; Chen G; Sun J; Wang YG; Yu Z, 2024, 'Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system', Cell Reports Medicine, 5, http://dx.doi.org/10.1016/j.xcrm.2024.101536

Li M; Micheli A; Wang YG; Pan S; Lio P; Gnecco GS; Sanguineti M, 2024, 'Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 4367 - 4372, http://dx.doi.org/10.1109/TNNLS.2024.3371592

Chen H; Wang YG; Xiong H, 2024, 'Corrigendum to “Lower and upper bounds for numbers of linear regions of graph convolutional networks” [Neural Networks Volume 168, November 2023, Pages 394–404](S0893608023005191)(10.1016/j.neunet.2023.09.025)', Neural Networks, 171, pp. 144, http://dx.doi.org/10.1016/j.neunet.2023.11.061

Jiang Y; Shen Y; Wang Y; Ding Q, 2024, 'Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN', Mathematical Biosciences and Engineering, 21, pp. 2163 - 2188, http://dx.doi.org/10.3934/mbe.2024095

Zhou B; Li R; Zheng X; Wang YG; Gao J, 2024, 'Graph Denoising With Framelet Regularizers', IEEE Transactions on Pattern Analysis and Machine Intelligence, 46, pp. 7606 - 7617, http://dx.doi.org/10.1109/TPAMI.2024.3393131

Duan W; Lu J; Wang YG; Xuan J, 2024, 'Layer-diverse Negative Sampling for Graph Neural Networks', Transactions on Machine Learning Research, 2024

Sun J; Wang Y; Zheng Y; Yuan M; Zhang H; Huo G; Weng M; Jiang R; Zhang Y; Wang Y, 2024, 'Improved titer and stability of selenium nanoparticles produced by engineered Saccharomyces cerevisiae', ENZYME AND MICROBIAL TECHNOLOGY, 173, http://dx.doi.org/10.1016/j.enzmictec.2023.110367

Ding X; Wang H; Huang S; Zhang H; Chen H; Chen P; Wang Y; Yang Z; Wang Y; Peng S; Dai H; Mei W, 2024, 'Molecular evolution and characterization of type III polyketide synthase gene family in Aquilaria sinensis', PLANT PHYSIOLOGY AND BIOCHEMISTRY, 210, http://dx.doi.org/10.1016/j.plaphy.2024.108571

Zhang J; Wang Y; Gai Y; Cui H; Liu B; Li J; Wang Y; Lv J; Chen S, 2024, 'The Relationship between the Permanent Trigeminal Artery and Cerebrovascular Disease: A Meta-Analysis', IRANIAN JOURNAL OF PUBLIC HEALTH, 53, pp. 988 - 996

Qu W; Liu J; Guo L; Wang F; Gong Z; Liu Y; Liu Y; Jia H; Rong H; Li M; Wei P; Wen D; Wang C; Xu R; Tang X; Chen S; Fu X; Li X; Wang Y; Wang Y; Zhang T; Wang Y; Chen L; Li J; Liu Y; Cai J; Jiang B; Zha L, 2024, 'Validation of the PowerPlex®35GY System: a novel eight-dye STR multiplex kit on the Spectrum Compact CE System', INTERNATIONAL JOURNAL OF LEGAL MEDICINE, 138, pp. 2299 - 2314, http://dx.doi.org/10.1007/s00414-024-03308-x

Liu Y; Pan S; Wang YG; Xiong F; Wang L; Chen Q; Lee VCS, 2023, 'Anomaly Detection in Dynamic Graphs via Transformer', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12081 - 12094, http://dx.doi.org/10.1109/TKDE.2021.3124061

Li M; Kang L; Xiong Y; Wang YG; Fan G; Tan P; Hong L, 2023, 'SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering', Journal of Cheminformatics, 15, http://dx.doi.org/10.1186/s13321-023-00688-x

Chen H; Wang YG; Xiong H, 2023, 'Lower and upper bounds for numbers of linear regions of graph convolutional networks', Neural Networks, 168, pp. 394 - 404, http://dx.doi.org/10.1016/j.neunet.2023.09.025

Jiang Y; Ding Q; Wang YG; Liò P; Zhang X, 2023, 'VISION GRAPH U-NET: GEOMETRIC LEARNING ENHANCED ENCODER FOR MEDICAL IMAGE SEGMENTATION AND RESTORATION', Inverse Problems and Imaging, 2023, http://dx.doi.org/10.3934/ipi.2023049

Zheng X; Zhou B; Li M; Wang YG; Gao J, 2023, 'MATHNET: Haar-like wavelet multiresolution analysis for graph representation learning', Knowledge Based Systems, 273, http://dx.doi.org/10.1016/j.knosys.2023.110609

Wang YG; Womersley RS; Wu HT; Yu WH, 2023, 'Numerical computation of triangular complex spherical designs with small mesh ratio', Journal of Computational and Applied Mathematics, 421, http://dx.doi.org/10.1016/j.cam.2022.114796

Wang Y; Wang N; Du Y; Jiang X; Liu Y; Wang Y; Feng Y; Wang P; Meng S, 2023, 'Novel nanoparticles prepared from isothiocyanate derivatives for phototherapy of tumor', JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY, 242, http://dx.doi.org/10.1016/j.jphotobiol.2023.112701

Yuan L; Wang Y; Zong Y; Zhang L; Wang G; Dong H; Wang Y, 2023, 'Response of genes related to iron and porphyrin transport in Porphyromonas gingivalis to blue light', JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY, 241, http://dx.doi.org/10.1016/j.jphotobiol.2023.112670

Wang Y; Wang YG; Hu C; Li M; Fan Y; Otter N; Sam I; Gou H; Hu Y; Kwok T; Zalcberg J; Boussioutas A; Daly RJ; Montúfar G; Liò P; Xu D; Webb GI; Song J, 2022, 'Cell graph neural networks enable the precise prediction of patient survival in gastric cancer', Npj Precision Oncology, 6, http://dx.doi.org/10.1038/s41698-022-00285-5

Montúfar G; Wang YG, 2022, 'Distributed Learning via Filtered Hyperinterpolation on Manifolds', Foundations of Computational Mathematics, 22, pp. 1219 - 1271, http://dx.doi.org/10.1007/s10208-021-09529-5

Zhou B; Zheng X; Wang YG; Li M; Gao J, 2022, 'Embedding graphs on Grassmann manifold', Neural Networks, 152, pp. 322 - 331, http://dx.doi.org/10.1016/j.neunet.2022.05.001

Li C; Wang Y; Chen G; Li Q; Gu X; Li X; Wang Y; Zhu Z; Li J, 2022, 'Thermodynamic analysis and process optimization of organosilicon distillation systems', ENERGY, 252, http://dx.doi.org/10.1016/j.energy.2022.124006

Liu Y; Lin Y; Liu H; Wang Y; Wang Y; Shi R; Jiang X; Feng Y; Meng S, 2022, 'Synergistic PDT/PTT/chemotherapy of PEGylated cyanine/methotrexate hybrid nanoparticles IMPD', MATERIALS LETTERS, 317, http://dx.doi.org/10.1016/j.matlet.2022.131957

Zheng X; Zhou B; Wang YG; Zhuang X, 2022, 'Decimated Framelet System on Graphs and Fast G-Framelet Transforms', Journal of Machine Learning Research, 23

Xu M; Wang Y; Cai Y; Zhang X; Wang Y; Sha J, 2022, 'A sensitive colorimetric sensor for glutathione on the basis of the oxidase-like activity of polyoxometalate-based helical compound and its nanocomposite with SWNT-COOH', INORGANIC CHEMISTRY COMMUNICATIONS, 137, http://dx.doi.org/10.1016/j.inoche.2022.109212

Zheng H; Ren Q; Zheng K; Qin Z; Wang Y; Wang Y, 2022, 'Spatial distribution and risk assessment of metal(loid)s in marine sediments in the Arctic Ocean and Bering Sea', MARINE POLLUTION BULLETIN, 179, http://dx.doi.org/10.1016/j.marpolbul.2022.113729

Le Gia QT; Li M; Wang YG, 2021, 'Algorithm 1018: FaVeST-Fast Vector Spherical Harmonic Transforms', ACM Transactions on Mathematical Software, 47, http://dx.doi.org/10.1145/3458470

Ma Z; Xuan J; Wang YG; Li M; Liò P, 2021, 'Path integral based convolution and pooling for graph neural networksThis article is an updated version of: Ma Z, Xuan J, Wang Y G, Li M and Liò P 2020 Path integral based convolution and pooling for graph neural networks Advances in Neural Information Processing Systems vol 33 ed H Larochelle, M Ranzato, R Hadsell, M F Balcan and H Lin (New York: Curran Associates) pp 16421–33.', Journal of Statistical Mechanics Theory and Experiment, 2021, http://dx.doi.org/10.1088/1742-5468/ac3ae4

Li H; Han G; He D; Wang Y; Lin Y; Zhang T; Wang J; Du Y; Li G; Wang Y; Zhou J; Liu B, 2021, 'miR-539 Targeting SNAI2 Regulates MMP9 Signaling Pathway and Affects Blood-Brain Barrier Permeability in Cerebrovascular Occlusive Diseases: A Study Based on Head and Neck Ultrasound and CTA', JOURNAL OF HEALTHCARE ENGINEERING, 2021, http://dx.doi.org/10.1155/2021/5699025

Sourisseau M; Wang YG; Womersley RS; Wu HT; Yu WH, 2021, 'Improve concentration of frequency and time (ConceFT) by novel complex spherical designs', Applied and Computational Harmonic Analysis, 54, pp. 137 - 144, http://dx.doi.org/10.1016/j.acha.2021.02.003

Hamann J; Le Gia QT; Sloan IH; Wang YG; Womersley RS, 2021, 'A new probe of Gaussianity and isotropy with application to cosmic microwave background maps', International Journal of Modern Physics C, 32, http://dx.doi.org/10.1142/S0129183121500844

Anh VV; Olenko A; Wang YG, 2021, 'Fractional stochastic partial differential equation for random tangent fields on the sphere', Theory of Probability and Mathematical Statistics, 104, pp. 3 - 22, http://dx.doi.org/10.1090/TPMS/1142

Li M; Ma Z; Wang YG; Zhuang X, 2020, 'Fast Haar Transforms for Graph Neural Networks', Neural Networks, 128, pp. 188 - 198, http://dx.doi.org/10.1016/j.neunet.2020.04.028


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