Alignment of Protein Interaction Networks by Integer Quadratic Programming. - Zhen-Ping Li; Yong Wang 001; Shihua Zhang; Xiang-Sun Zhang; Luonan Chen (EMBC, 2006)

A Graph-Theoretic Method for Mining Functional Modules in Large Sparse Protein Interaction Networks. - Shi-Hua Zhang; Hong-Wei Liu; Xue-Mei Ning; Xiang-Sun Zhang (ICDM Workshops, 2006)

Prediction of Protein Complexes Based on Protein Interaction Data and Functional Annotation Data Using Kernel Methods. - Shi-Hua Zhang; Xue-Mei Ning; Hong-Wei Liu; Xiang-Sun Zhang (ICIC (3), 2006)

Identification of functional modules in a PPI network by clique percolation clustering. - Shi-Hua Zhang; Xue-Mei Ning; Xiang-Sun Zhang (Comput. Biol. Chem., 2006)

Identifying Modules in Complex Networks by a Graph-Theoretical Method and Its Application in Protein Interaction Networks. - Rui-Sheng Wang; Shi-Hua Zhang; Xiang-Sun Zhang; Luonan Chen (ICIC (2), 2007)

Alignment of molecular networks by integer quadratic programming. - Zhen-Ping Li; Shi-Hua Zhang; Yong Wang 001; Xiang-Sun Zhang; Luonan Chen (Bioinform., 2007)

Biomolecular network querying: a promising approach in systems biology. - Shihua Zhang; Xiang-Sun Zhang; Luonan Chen (BMC Syst. Biol., 2008)

Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures. - Rui-Sheng Wang; Shi-Hua Zhang; Yong Wang 001; Xiang-Sun Zhang; Luonan Chen (Neurocomputing, 2008)

3D Rotation Invariant Features for the Characterization of Molecular Density Maps. - Min Xu; Shi-Hua Zhang; Frank Alber (BIBM, 2009)

A Method for Querying Conserved Subnetwork in a Large-Scale Biomolecular Network. - Jiang Xie 003; Weibing Feng; Shi-Hua Zhang; Songbei Li; Guoyong Mao; Luwen Zhang; Tieqiao Wen; Wu Zhang (HPCA (China), 2009)

A hybrid graph-theoretic method for mining overlapping functional modules in large sparse protein interaction networks. - Shi-Hua Zhang; Hong-Wei Liu; Xue-Mei Ning; Xiang-Sun Zhang (Int. J. Data Min. Bioinform., 2009)

Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases. - Jiguang Wang; Shi-Hua Zhang; Yong Wang 001; Luonan Chen; Xiang-Sun Zhang (PLoS Comput. Biol., 2009)

Fuzzy System Methods in Modeling Gene Expression and Analyzing Protein Networks. - Shi-Hua Zhang; Rui-Sheng Wang; Xiang-Sun Zhang; Luonan Chen (Fuzzy Systems in Bioinformatics and Computational Biology, 2009)

A fast mathematical programming procedure for simultaneous fitting of assembly components into cryoEM density maps. - Shi-Hua Zhang; Daven Vasishtan; Min Xu; Maya Topf; Frank Alber (Bioinform., 2010)

Detecting disease associated modules and prioritizing active genes based on high throughput data. - Yu-Qing Qiu; Shi-Hua Zhang; Xiang-Sun Zhang; Luonan Chen (BMC Bioinform., 2010)

Composite functional module inference: detecting cooperation between transcriptional regulation and protein interaction by mantel test. - Chao Wu; Fan Zhang; Xia Li 004; Shihua Zhang; Jiang Li; Fei Su; Kongning Li; YuQing Yan (BMC Syst. Biol., 2010)

Determining modular organization of protein interaction networks by maximizing modularity density. - Shi-Hua Zhang; Xue-Mei Ning; Chris H. Q. Ding; Xiang-Sun Zhang (BMC Syst. Biol., 2010)

A Querying Method with Feedback Mechanism for Protein Interaction Network. - Jiang Xie 003; Shi-Hua Zhang; Tieqiao Wen; Guangtai Ding; Shu Yu; Zhili Gu; Wu Zhang (HISB, 2011)

A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules. - Shi-Hua Zhang; Qingjiao Li; Juan Liu 007; Xianghong Jasmine Zhou (Bioinform., 2011)

Co-community Structure in Multiple Evolving Networks - Shi-Hua Zhang; Junfei Zhao; Xiang-Sun Zhang (CoRR, 2011)

Identifying mutated core modules in glioblastoma by integrative network analysis. - Junhua Zhang 002; Shi-Hua Zhang; Yong Wang 001; Junfei Zhao; Xiang-Sun Zhang (ISB, 2012)

Identifying multi-layer gene regulatory modules from multi-dimensional genomic data. - Wenyuan Li 006; Shi-Hua Zhang; Chun-Chi Liu; Xianghong Jasmine Zhou (Bioinform., 2012)

Efficient methods for identifying mutated driver pathways in cancer. - Junfei Zhao; Shi-Hua Zhang; Ling-Yun Wu; Xiang-Sun Zhang (Bioinform., 2012)

Modelling and analysis of a delayed predator-prey model with disease in the predator. - Rui Xu; Shihua Zhang (Appl. Math. Comput., 2013)

Travelling waves and global attractivity of an SIRS disease model with spatial diffusion and temporary immunity. - Shihua Zhang; Rui Xu (Appl. Math. Comput., 2013)

Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data. - Junhua Zhang 002; Shi-Hua Zhang; Yong Wang 001; Xiang-Sun Zhang (BMC Syst. Biol., 2013)

Promote Connections of Young Computational Biologists in China. - Shihua Zhang; Xiu-Jie Wang (Genom. Proteom. Bioinform., 2013)

Discovery of co-occurring driver pathways in cancer. - Junhua Zhang 002; Ling-Yun Wu; Xiang-Sun Zhang; Shihua Zhang (BMC Bioinform., 2014)

A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. - Wenwen Min; Juan Liu 007; Fei Luo 004; Shi-Hua Zhang (BIBM, 2015)

IIIDB: a database for isoform-isoform interactions and isoform network modules. - Yu-Ting Tseng; Wenyuan Li 006; Ching-Hsien Chen; Shi-Hua Zhang; Jeremy J. W. Chen; Xianghong Jasmine Zhou; Chun-Chi Liu (BMC Genom., 2015)

Local community extraction in directed networks. - Xue-Mei Ning; Zhaoqi Liu; Shihua Zhang (CoRR, 2015)

A neurodynamic framework for local community extraction in networks. - Shihua Zhang; Guanghua Hu; Wenwen Min (CoRR, 2015)

Infer Metagenomic Abundance and Reveal Homologous Genomes Based on the Structure of Taxonomy Tree. - Yu-Qing Qiu; Xue Tian; Shi-Hua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Guest Editorial for Special Section on ISB/TBC 2014. - Shi-Hua Zhang; Luonan Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data. - Jianbo Lu; Guoliang Xu; Shihua Zhang; Benzhuo Lu (Algorithms Mol. Biol., 2016)

Integrative analysis for identifying joint modular patterns of gene-expression and drug-response data. - Jinyu Chen; Shihua Zhang (Bioinform., 2016)

DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank. - Qingjun Yuan; Junning Gao; Dongliang Wu; Shihua Zhang; Hiroshi Mamitsuka; Shanfeng Zhu (Bioinform., 2016)

L0-norm Sparse Graph-regularized SVD for Biclustering. - Wenwen Min; Juan Liu 007; Shi-Hua Zhang (CoRR, 2016)

Quantitative function and algorithm for community detection in bipartite networks. - Zhen-Ping Li; Rui-Sheng Wang; Shihua Zhang; Xiang-Sun Zhang (Inf. Sci., 2016)

A Probabilistic Method for Estimating the Sharing of Identity by Descent for Populations with Migration. - Xumin Ni; Wei Guo; Kai Yuan; Xiong Yang; Zhiming Ma; Shuhua Xu; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Comparative pan-cancer DNA methylation analysis reveals cancer common and specific patterns. - Xiaofei Yang; Lin Gao; Shihua Zhang (Briefings Bioinform., 2017)

TBC2health: a database of experimentally validated health-beneficial effects of tea bioactive compounds. - Shihua Zhang; Hongdong Xuan; Liang Zhang 005; Sicong Fu; Yijun Wang; Hua Yang; Yuling Tai; Youhong Song; Jinsong Zhang; Chi-Tang Ho; Shaowen Li; Xiaochun Wan (Briefings Bioinform., 2017)

A Unified Joint Matrix Factorization Framework for Data Integration. - Lihua Zhang; Shihua Zhang (CoRR, 2017)

Sparse Weighted Canonical Correlation Analysis. - Wenwen Min; Juan Liu 007; Shihua Zhang (CoRR, 2017)

Integrative cancer genomics: models, algorithms and analysis. - Jinyu Chen; Shihua Zhang (Frontiers Comput. Sci., 2017)

When to offload in two-tier smallcell networks: a Stackelberg game approach with pre-offloading-decision. - Kailing Yao; Youming Sun; Zheng Zhang; Shihua Zhang; Shengnan Li; Yuhua Xu 001 (Wirel. Networks, 2017)

Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. - Fang Jing; Shao-Wu Zhang 001; Zhen Cao; Shihua Zhang (ISBRA, 2018)

FPGA Investigation on Error-Floor Performance of a Concatenated Staircase and Hamming Code for 400G-ZR Forward Error Correction. - Yi Cai 002; Weiming Wang; Weifeng Qian; Jia Xing; Kai Tao; Junjie Yin; Shihua Zhang; Ming Lei; Erkun Sun; Ke Yang; Hungchang Chien; Qun Liao; et al. (OFC, 2018)

Edge-group sparse PCA for network-guided high dimensional data analysis. - Wenwen Min; Juan Liu 007; Shihua Zhang (Bioinform., 2018)

Group-sparse SVD Models and Their Applications in Biological Data. - Wenwen Min; Juan Liu 007; Shihua Zhang (CoRR, 2018)

BMTK: a toolkit for determining modules in biological bipartite networks. - Bei Wang; Jinyu Chen; Shihua Zhang (Quant. Biol., 2018)

Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. - Wenwen Min; Juan Liu 007; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

The Discovery of Mutated Driver Pathways in Cancer: Models and Algorithms. - Junhua Zhang 002; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Simple tricks of convolutional neural network architectures improve DNA-protein binding prediction. - Zhen Cao; Shihua Zhang (Bioinform., 2019)

Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding. - Zhiyang Zhang; Shihua Zhang (CoRR, 2019)

Sparse deep nonnegative matrix factorization. - Zhenxing Guo; Shihua Zhang (Big Data Min. Anal., 2020)

Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network. - Fang Jing; Shao-Wu Zhang 001; Shihua Zhang (BMC Bioinform., 2020)

Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. - Chihao Zhang 002; Yang Yang; Wei Zhang; Shihua Zhang (CoRR, 2020)

Tessellated Wasserstein Auto-Encoders. - Kuo Gai; Shihua Zhang (CoRR, 2020)

Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks. - Zhen Cao; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Comparison of Computational Methods for Imputing Single-Cell RNA-Sequencing Data. - Lihua Zhang; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

A General Joint Matrix Factorization Framework for Data Integration and Its Systematic Algorithmic Exploration. - Lihua Zhang; Shihua Zhang (IEEE Trans. Fuzzy Syst., 2020)

Joint reconstruction of cis-regulatory interaction networks across multiple tissues using single-cell chromatin accessibility data. - Kangning Dong; Shihua Zhang (Briefings Bioinform., 2021)

LncR2metasta: a manually curated database for experimentally supported lncRNAs during various cancer metastatic events. - Shihua Zhang; Xiaolong He; Rui Zhang 052; Wensheng Deng (Briefings Bioinform., 2021)

Leveraging partially overlapping channels for intra- and inter-coalition communication in cooperative UAV swarms. - Kailing Yao; Yuhua Xu 001; Hong Li; Jin Chen 007; Shihua Zhang; Xingyue Yu (Sci. China Inf. Sci., 2021)

A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space. - Kuo Gai; Shihua Zhang (CoRR, 2021)

Robust Bayesian matrix decomposition with mixture of Gaussian noise. - Haohui Wang; Chihao Zhang 002; Shihua Zhang (Neurocomputing, 2021)

Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. - Chihao Zhang 002; Shihua Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers. - Wenwen Min; Tsung-Hui Chang; Shihua Zhang; Xiang Wan (PLoS Comput. Biol., 2021)

Approximate distance correlation for selecting highly interrelated genes across datasets. - Qunlun Shen; Shihua Zhang (PLoS Comput. Biol., 2021)

An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. - Fang Jing; Shao-Wu Zhang 001; Zhen Cao; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. - Wenwen Min; Juan Liu 007; Shihua Zhang (IEEE Trans. Knowl. Data Eng., 2021)

Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime. - Rui Zhang 052; Shihua Zhang (AAAI, 2022)

Investigation of Potential FEC Schemes for 800G-ZR Forward Error Correction. - Weiming Wang; Weifeng Qian; Kai Tao; Zitao Wei; Shihua Zhang; Yan Xia; Yong Chen (OFC, 2022)

Disease category-specific annotation of variants using an ensemble learning framework. - Zhen Cao; Yanting Huang; Ran Duan; Peng Jin; Zhaohui S. Qin; Shihua Zhang (Briefings Bioinform., 2022)

GCN-GENE: A novel method for prediction of coronary heart disease-related genes. - Tong Zhang; Yixuan Lin; Weimin He; FengXin Yuan; Yu Zeng; Shihua Zhang (Comput. Biol. Medicine, 2022)

VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms. - Yu Hao; Xiaohua Wan; Rui Yan 009; Zhiyong Liu 002; Jintao Li 001; Shihua Zhang; Xuefeng Cui; Fa Zhang 001 (Comput. Methods Programs Biomed., 2022)

Deciphering the Spatial Modular Patterns of Tissues by Integrating Spatial and Single-Cell Transcriptomic Data. - Xu Shan; Jinyu Chen; Kangning Dong; Wei Zhou 011; Shihua Zhang (J. Comput. Biol., 2022)

Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. - Chihao Zhang 002; Yiling Elaine Chen; Shihua Zhang; Jingyi Jessica Li (J. Mach. Learn. Res., 2022)

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. - Yongbiao Xue; Yiming Bao; Zhang Zhang 002; Wenming Zhao; Jing-Fa Xiao; Shunmin He; Guoqing Zhang 006; Yixue Li; Guoping Zhao; Runsheng Chen; Jingyao Zeng; Yadong Zhang; et al. (Nucleic Acids Res., 2022)

Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network. - Fang Jing; Shaowu Zhang 001; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning. - Bo Li 002; Yihui Tian; Yang Tian; Shihua Zhang; Xiaolong Zhang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. - Chihao Zhang 002; Yang Yang; Wei Zhou 011; Shihua Zhang (IEEE Trans. Knowl. Data Eng., 2022)

A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis. - Wenwen Min; Xiang Wan; Tsung-Hui Chang; Shihua Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation. - Zizhuo Li; Shihua Zhang; Jiayi Ma 001 (IJCAI, 2023)

Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. - Rui Zhang 052; Qi Meng; Rongchan Zhu; Yue Wang 017; Wenlei Shi; Shihua Zhang; Zhi-Ming Ma; Tie-Yan Liu (CoRR, 2023)

Integrating spatial transcriptomics data across different conditions, technologies and developmental stages. - Xiang Zhou; Kangning Dong; Shihua Zhang (Nat. Comput. Sci., 2023)

Learnable Graph-Regularization for Matrix Decomposition. - Penglong Zhai; Shihua Zhang (ACM Trans. Knowl. Discov. Data, 2023)

SmartGate is a spatial metabolomics tool for resolving tissue structures. - Kaixuan Xiao; Yu Wang; Kangning Dong; Shihua Zhang (Briefings Bioinform., 2023)

Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning. - Bo Li 002; Chen Peng; Zeran You; Xiaolong Zhang 002; Shihua Zhang (Briefings Bioinform., 2023)

Improving sparse graph attention for feature matching by informative keypoints exploration. - Xingyu Jiang; Shihua Zhang; Xiao-Ping Zhang 002; Jiayi Ma 001 (Comput. Vis. Image Underst., 2023)

A Python Package itca for Information-Theoretic Classification Accuracy: A Criterion That Guides Data-Driven Combination of Ambiguous Outcome Labels in Multiclass Classification. - Chihao Zhang 002; Shihua Zhang; Jingyi Jessica Li (J. Comput. Biol., 2023)

ResMatch: Residual Attention Learning for Feature Matching. - Yuxin Deng; Kaining Zhang; Shihua Zhang; Yansheng Li 001; Jiayi Ma 001 (AAAI, 2024)

DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning. - Shihua Zhang; Zizhuo Li; Yuan Gao 015; Jiayi Ma 001 (CVPR, 2024)

Motion Deblurring by Fusing Multi-Stage Image Features. - Shihua Zhang; Fan He; Xun Shao (CyberSciTech, 2024)

DiffGlue: Diffusion-Aided Image Feature Matching. - Shihua Zhang; Jiayi Ma 001 (ACM Multimedia, 2024)

Joint optimization of application placement and resource allocation for enhanced performance in heterogeneous multi-server systems. - Pan Lai; Yiran Tao; Jun Qin; Yuanai Xie; Shihua Zhang; Shanjiang Tang; Qirui Huang; Shengquan Liao (Comput. Networks, 2024)

Progressive Feedforward Collapse of ResNet Training. - Sicong Wang; Kuo Gai; Shihua Zhang (CoRR, 2024)

Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function. - Kuo Gai; Shihua Zhang (CoRR, 2024)

OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack. - Kuo Gai; Sicong Wang; Shihua Zhang (CoRR, 2024)

Towards understanding how attention mechanism works in deep learning. - Tianyu Ruan; Shihua Zhang (CoRR, 2024)

Matrix normal PCA for interpretable dimension reduction and graphical noise modeling. - Chihao Zhang 002; Kuo Gai; Shihua Zhang (Pattern Recognit., 2024)

Adversarial Information Bottleneck. - Penglong Zhai; Shihua Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tessellating the Latent Space for Non-Adversarial Generative Auto-Encoders. - Kuo Gai; Shihua Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

ConvMatch: Rethinking Network Design for Two-View Correspondence Learning. - Shihua Zhang; Jiayi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning. - Zizhuo Li; Shihua Zhang; Jiayi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation. - Shihua Zhang; Zhenjie Zhu; Zizhuo Li; Tao Lu 001; Jiayi Ma 001 (AAAI, 2025)

scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering. - Bo Li 002; Yongkang Zhao; Jing Hu 003; Shihua Zhang; Xiaolong Zhang 002 (Briefings Bioinform., 2025)

Finite-time and fixed-time flocking of a Cucker-Smale system with nonlinear velocity couplings and intermittent control. - Jianlong Ren; Qiming Liu 002; Shihua Zhang (Commun. Nonlinear Sci. Numer. Simul., 2025)

SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics. - Wenwen Min; Donghai Fang; Jinyu Chen; Shihua Zhang (PLoS Comput. Biol., 2025)

Learning-Based TSP-Solvers Tend to Be Overly Greedy. - Xiayang Li; Shihua Zhang (CoRR, 2025)

The Decoupling Concept Bottleneck Model. - Rui Zhang 052; Xingbo Du; Junchi Yan; Shihua Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning. - Xiang Fang; Shihua Zhang; Hao Zhang 073; Tao Lu 001; Huabing Zhou; Jiayi Ma 001 (CoRR, 2025)

CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching. - Zizhuo Li; Yifan Lu; Linfeng Tang; Shihua Zhang; Jiayi Ma 001 (CoRR, 2025)

Shadow Wireless Intelligence: Large Language Model-Driven Reasoning in Covert Communications. - Yuanai Xie; Zhaozhi Liu; Xiao Zhang 006; Shihua Zhang; Rui Hou; Minrui Xu; Ruichen Zhang; Dusit Niyato (CoRR, 2025)

Deep Learning Reforms Image Matching: A Survey and Outlook. - Shihua Zhang; Zizhuo Li; Kaining Zhang; Yifan Lu; Yuxin Deng; Linfeng Tang; Xingyu Jiang; Jiayi Ma 001 (CoRR, 2025)

Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation. - Rui Zhang 052; Qi Meng; Rongchan Zhu; Yue Wang 017; Wenlei Shi; Shihua Zhang; Zhi-Ming Ma; Tie-Yan Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)