Shihua Zhang - RankMe

109 papers A* 7Journal 96Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoRe: Learning compact representation with prior-guided initialization. Pattern Recognit. Yu Song, Junshan Xie, Jing Zhang, Shihua Zhang, Deyu Meng, Xiaohui Yang, Lili Yang
2026	J	`jnl`	Learning-based TSP-solvers tend to be overly greedy. Comput. Oper. Res. Xiayang Li, Shihua Zhang
2026	J	`jnl`	Make Geometry Matter for Spatial Reasoning. CoRR Shihua Zhang, Qiuhong Shen, Shizun Wang, Tianbo Pan, Xinchao Wang
2026	J	`jnl`	Progressive Feedforward Collapse of ResNet Training. IEEE Trans. Neural Networks Learn. Syst. Sicong Wang, Kuo Gai, Shihua Zhang
2026	J	`jnl`	Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning. IEEE Trans. Image Process. Xiang Fang, Shihua Zhang, Hao Zhang, Xiaoguang Mei, Huabing Zhou, Jiayi Ma
2025	J	`jnl`	CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching. CoRR Zizhuo Li, Yifan Lu, Linfeng Tang, Shihua Zhang, Jiayi Ma
2025	J	`jnl`	DeMatch++: Two-View Correspondence Learning via Deep Motion Field Decomposition and Respective Local-Context Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. Shihua Zhang, Zizhuo Li, Jiayi Ma
2025	J	`jnl`	Deep Learning Reforms Image Matching: A Survey and Outlook. CoRR Shihua Zhang, Zizhuo Li, Kaining Zhang, Yifan Lu, Yuxin Deng, Linfeng Tang, Xingyu Jiang, Jiayi Ma
2025	J	`jnl`	Feature Dynamics as Implicit Data Augmentation: A Depth-Decomposed View on Deep Neural Network Generalization. CoRR Tianyu Ruan, Kuo Gai, Shihua Zhang
2025	J	`jnl`	Finite-time and fixed-time flocking of a Cucker-Smale system with nonlinear velocity couplings and intermittent control. Commun. Nonlinear Sci. Numer. Simul. Jianlong Ren, Qiming Liu, Shihua Zhang
2025	J	`jnl`	Graph Generation with Spectral Geodesic Flow Matching. CoRR Xikun Huang, Tianyu Ruan, Chihao Zhang, Shihua Zhang
2025	J	`jnl`	Learning-Based TSP-Solvers Tend to Be Overly Greedy. CoRR Xiayang Li, Shihua Zhang
2025	A*	`conf`	Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation. AAAI Shihua Zhang, Zhenjie Zhu, Zizhuo Li, Tao Lu, Jiayi Ma
2025	J	`jnl`	Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
2025	J	`jnl`	Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning. CoRR Xiang Fang, Shihua Zhang, Hao Zhang, Tao Lu, Huabing Zhou, Jiayi Ma
2025	J	`jnl`	Shadow Wireless Intelligence: Large Language Model-Driven Reasoning in Covert Communications. CoRR Yuanai Xie, Zhaozhi Liu, Xiao Zhang, Shihua Zhang, Rui Hou, Minrui Xu, Ruichen Zhang, Dusit Niyato
2025	J	`jnl`	SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics. PLoS Comput. Biol. Wenwen Min, Donghai Fang, Jinyu Chen, Shihua Zhang
2025	J	`jnl`	The Decoupling Concept Bottleneck Model. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Xingbo Du, Junchi Yan, Shihua Zhang
2025	J	`jnl`	scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering. Briefings Bioinform. Bo Li, Yongkang Zhao, Jing Hu, Shihua Zhang, Xiaolong Zhang
2024	J	`jnl`	Adversarial Information Bottleneck. IEEE Trans. Neural Networks Learn. Syst. Penglong Zhai, Shihua Zhang
2024	J	`jnl`	Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function. CoRR Kuo Gai, Shihua Zhang
2024	J	`jnl`	ConvMatch: Rethinking Network Design for Two-View Correspondence Learning. IEEE Trans. Pattern Anal. Mach. Intell. Shihua Zhang, Jiayi Ma
2024	A*	`conf`	DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning. CVPR Shihua Zhang, Zizhuo Li, Yuan Gao, Jiayi Ma
2024	A*	`conf`	DiffGlue: Diffusion-Aided Image Feature Matching. ACM Multimedia Shihua Zhang, Jiayi Ma
2024	J	`jnl`	Joint optimization of application placement and resource allocation for enhanced performance in heterogeneous multi-server systems. Comput. Networks Pan Lai, Yiran Tao, Jun Qin, Yuanai Xie, Shihua Zhang, Shanjiang Tang, Qirui Huang, Shengquan Liao
2024	J	`jnl`	Matrix normal PCA for interpretable dimension reduction and graphical noise modeling. Pattern Recognit. Chihao Zhang, Kuo Gai, Shihua Zhang
2024	—	`conf`	Motion Deblurring by Fusing Multi-Stage Image Features. CyberSciTech Shihua Zhang, Fan He, Xun Shao
2024	J	`jnl`	OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack. CoRR Kuo Gai, Sicong Wang, Shihua Zhang
2024	J	`jnl`	Progressive Feedforward Collapse of ResNet Training. CoRR Sicong Wang, Kuo Gai, Shihua Zhang
2024	A*	`conf`	ResMatch: Residual Attention Learning for Feature Matching. AAAI Yuxin Deng, Kaining Zhang, Shihua Zhang, Yansheng Li, Jiayi Ma
2024	J	`jnl`	Statistical batch-aware embedded integration, dimension reduction, and alignment for spatial transcriptomics. Bioinform. Yanfang Li, Shihua Zhang
2024	J	`jnl`	Tessellating the Latent Space for Non-Adversarial Generative Auto-Encoders. IEEE Trans. Pattern Anal. Mach. Intell. Kuo Gai, Shihua Zhang
2024	J	`jnl`	Towards understanding how attention mechanism works in deep learning. CoRR Tianyu Ruan, Shihua Zhang
2024	J	`jnl`	U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zizhuo Li, Shihua Zhang, Jiayi Ma
2023	J	`jnl`	A Python Package J. Comput. Biol. Chihao Zhang, Shihua Zhang, Jingyi Jessica Li
2023	A*	`conf`	ConvMatch: Rethinking Network Design for Two-View Correspondence Learning. AAAI Shihua Zhang, Jiayi Ma
2023	J	`jnl`	Improving sparse graph attention for feature matching by informative keypoints exploration. Comput. Vis. Image Underst. Xingyu Jiang, Shihua Zhang, Xiao-Ping Zhang, Jiayi Ma
2023	J	`jnl`	Integrating spatial transcriptomics data across different conditions, technologies and developmental stages. Nat. Comput. Sci. Xiang Zhou, Kangning Dong, Shihua Zhang
2023	J	`jnl`	Learnable Graph-Regularization for Matrix Decomposition. ACM Trans. Knowl. Discov. Data Penglong Zhai, Shihua Zhang
2023	J	`jnl`	Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
2023	J	`jnl`	Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning. Briefings Bioinform. Bo Li, Chen Peng, Zeran You, Xiaolong Zhang, Shihua Zhang
2023	J	`jnl`	SmartGate is a spatial metabolomics tool for resolving tissue structures. Briefings Bioinform. Kaixuan Xiao, Yu Wang, Kangning Dong, Shihua Zhang
2023	A*	`conf`	U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation. IJCAI Zizhuo Li, Shihua Zhang, Jiayi Ma
2022	J	`jnl`	A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Wenwen Min, Xiang Wan, Tsung-Hui Chang, Shihua Zhang
2022	J	`jnl`	Deciphering the Spatial Modular Patterns of Tissues by Integrating Spatial and Single-Cell Transcriptomic Data. J. Comput. Biol. Xu Shan, Jinyu Chen, Kangning Dong, Wei Zhou, Shihua Zhang
2022	J	`jnl`	Disease category-specific annotation of variants using an ensemble learning framework. Briefings Bioinform. Zhen Cao, Yanting Huang, Ran Duan, Peng Jin, Zhaohui S. Qin, Shihua Zhang
2022	J	`jnl`	Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. IEEE Trans. Knowl. Data Eng. Chihao Zhang, Yang Yang, Wei Zhou, Shihua Zhang
2022	J	`jnl`	GCN-GENE: A novel method for prediction of coronary heart disease-related genes. Comput. Biol. Medicine Tong Zhang, Yixuan Lin, Weimin He, FengXin Yuan, Yu Zeng, Shihua Zhang
2022	J	`jnl`	Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. J. Mach. Learn. Res. Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li
2022	—	`conf`	Investigation of Potential FEC Schemes for 800G-ZR Forward Error Correction. OFC Weiming Wang, Weifeng Qian, Kai Tao, Zitao Wei, Shihua Zhang, Yan Xia, Yong Chen
2022	J	`jnl`	Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Bo Li, Yihui Tian, Yang Tian, Shihua Zhang, Xiaolong Zhang
2022	J	`jnl`	Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. Fang Jing, Shaowu Zhang, Shihua Zhang
2022	A*	`conf`	Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime. AAAI Rui Zhang, Shihua Zhang
2022	J	`jnl`	VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms. Comput. Methods Programs Biomed. Yu Hao, Xiaohua Wan, Rui Yan, Zhiyong Liu, Jintao Li, Shihua Zhang, Xuefeng Cui, Fa Zhang
2021	J	`jnl`	A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space. CoRR Kuo Gai, Shihua Zhang
2021	J	`jnl`	Adversarial Information Bottleneck. CoRR Penglong Zhai, Shihua Zhang
2021	J	`jnl`	An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Fang Jing, Shao-Wu Zhang, Zhen Cao, Shihua Zhang
2021	J	`jnl`	Approximate distance correlation for selecting highly interrelated genes across datasets. PLoS Comput. Biol. Qunlun Shen, Shihua Zhang
2021	J	`jnl`	Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. IEEE Trans. Pattern Anal. Mach. Intell. Chihao Zhang, Shihua Zhang
2021	J	`jnl`	Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. IEEE Trans. Knowl. Data Eng. Wenwen Min, Juan Liu, Shihua Zhang
2021	J	`jnl`	Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. CoRR Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li
2021	J	`jnl`	Joint reconstruction of cis-regulatory interaction networks across multiple tissues using single-cell chromatin accessibility data. Briefings Bioinform. Kangning Dong, Shihua Zhang
2021	J	`jnl`	Leveraging partially overlapping channels for intra- and inter-coalition communication in cooperative UAV swarms. Sci. China Inf. Sci. Kailing Yao, Yuhua Xu, Hong Li, Jin Chen, Shihua Zhang, Xingyue Yu
2021	J	`jnl`	LncR2metasta: a manually curated database for experimentally supported lncRNAs during various cancer metastatic events. Briefings Bioinform. Shihua Zhang, Xiaolong He, Rui Zhang, Wensheng Deng
2021	J	`jnl`	Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime. CoRR Rui Zhang, Shihua Zhang
2021	J	`jnl`	Robust Bayesian matrix decomposition with mixture of Gaussian noise. Neurocomputing Haohui Wang, Chihao Zhang, Shihua Zhang
2021	J	`jnl`	TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers. PLoS Comput. Biol. Wenwen Min, Tsung-Hui Chang, Shihua Zhang, Xiang Wan
2020	J	`jnl`	A General Joint Matrix Factorization Framework for Data Integration and Its Systematic Algorithmic Exploration. IEEE Trans. Fuzzy Syst. Lihua Zhang, Shihua Zhang
2020	J	`jnl`	Comparison of Computational Methods for Imputing Single-Cell RNA-Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. Lihua Zhang, Shihua Zhang
2020	J	`jnl`	Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. CoRR Chihao Zhang, Yang Yang, Wei Zhang, Shihua Zhang
2020	J	`jnl`	Learnable Graph-regularization for Matrix Decomposition. CoRR Penglong Zhai, Shihua Zhang
2020	J	`jnl`	Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network. BMC Bioinform. Fang Jing, Shao-Wu Zhang, Shihua Zhang
2020	J	`jnl`	Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Zhen Cao, Shihua Zhang
2020	J	`jnl`	Sparse deep nonnegative matrix factorization. Big Data Min. Anal. Zhenxing Guo, Shihua Zhang
2020	J	`jnl`	Tessellated Wasserstein Auto-Encoders. CoRR Kuo Gai, Shihua Zhang
2019	J	`jnl`	Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling. CoRR Chihao Zhang, Kuo Gai, Shihua Zhang
2019	J	`jnl`	Simple tricks of convolutional neural network architectures improve DNA-protein binding prediction. Bioinform. Zhen Cao, Shihua Zhang
2019	J	`jnl`	Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding. CoRR Zhiyang Zhang, Shihua Zhang
2018	J	`jnl`	BMTK: a toolkit for determining modules in biological bipartite networks. Quant. Biol. Bei Wang, Jinyu Chen, Shihua Zhang
2018	—	`ed.`	Bioinformatics Research and Applications - 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings ISBRA Fa Zhang, Zhipeng Cai, Pavel Skums, Shihua Zhang
2018	—	`conf`	Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. ISBRA Fang Jing, Shao-Wu Zhang, Zhen Cao, Shihua Zhang
2018	J	`jnl`	Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinform. Wenwen Min, Juan Liu, Shihua Zhang
2018	—	`conf`	FPGA Investigation on Error-Floor Performance of a Concatenated Staircase and Hamming Code for 400G-ZR Forward Error Correction. OFC Yi Cai, Weiming Wang, Weifeng Qian, Jia Xing, Kai Tao, Junjie Yin, Shihua Zhang, Ming Lei, Erkun Sun, Ke Yang, Hungchang Chien, Qun Liao, Huan Chen
2018	J	`jnl`	Group-sparse SVD Models and Their Applications in Biological Data. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	The Discovery of Mutated Driver Pathways in Cancer: Models and Algorithms. IEEE ACM Trans. Comput. Biol. Bioinform. Junhua Zhang, Shihua Zhang
2017	J	`jnl`	A Unified Joint Matrix Factorization Framework for Data Integration. CoRR Lihua Zhang, Shihua Zhang
2017	J	`jnl`	Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise. CoRR Chihao Zhang, Shihua Zhang
2017	J	`jnl`	Comparative pan-cancer DNA methylation analysis reveals cancer common and specific patterns. Briefings Bioinform. Xiaofei Yang, Lin Gao, Shihua Zhang
2017	J	`jnl`	Integrative cancer genomics: models, algorithms and analysis. Frontiers Comput. Sci. Jinyu Chen, Shihua Zhang
2017	J	`jnl`	Sparse Deep Nonnegative Matrix Factorization. CoRR Zhenxing Guo, Shihua Zhang
2017	J	`jnl`	Sparse Weighted Canonical Correlation Analysis. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2017	J	`jnl`	TBC2health: a database of experimentally validated health-beneficial effects of tea bioactive compounds. Briefings Bioinform. Shihua Zhang, Hongdong Xuan, Liang Zhang, Sicong Fu, Yijun Wang, Hua Yang, Yuling Tai, Youhong Song, Jinsong Zhang, Chi-Tang Ho, Shaowen Li, Xiaochun Wan
2017	J	`jnl`	When to offload in two-tier smallcell networks: a Stackelberg game approach with pre-offloading-decision. Wirel. Networks Kailing Yao, Youming Sun, Zheng Zhang, Shihua Zhang, Shengnan Li, Yuhua Xu
2016	J	`jnl`	A Probabilistic Method for Estimating the Sharing of Identity by Descent for Populations with Migration. IEEE ACM Trans. Comput. Biol. Bioinform. Xumin Ni, Wei Guo, Kai Yuan, Xiong Yang, Zhiming Ma, Shuhua Xu, Shihua Zhang
2016	J	`jnl`	An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data. Algorithms Mol. Biol. Jianbo Lu, Guoliang Xu, Shihua Zhang, Benzhuo Lu
2016	J	`jnl`	DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank. Bioinform. Qingjun Yuan, Junning Gao, Dongliang Wu, Shihua Zhang, Hiroshi Mamitsuka, Shanfeng Zhu
2016	J	`jnl`	Integrative analysis for identifying joint modular patterns of gene-expression and drug-response data. Bioinform. Jinyu Chen, Shihua Zhang
2016	J	`jnl`	Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2016	J	`jnl`	Quantitative function and algorithm for community detection in bipartite networks. Inf. Sci. Zhen-Ping Li, Rui-Sheng Wang, Shihua Zhang, Xiang-Sun Zhang
2015	J	`jnl`	A neurodynamic framework for local community extraction in networks. CoRR Shihua Zhang, Guanghua Hu, Wenwen Min
2015	J	`jnl`	Local community extraction in directed networks. CoRR Xue-Mei Ning, Zhaoqi Liu, Shihua Zhang
2014	J	`jnl`	Discovery of co-occurring driver pathways in cancer. BMC Bioinform. Junhua Zhang, Ling-Yun Wu, Xiang-Sun Zhang, Shihua Zhang
2013	J	`jnl`	Modelling and analysis of a delayed predator-prey model with disease in the predator. Appl. Math. Comput. Rui Xu, Shihua Zhang
2013	J	`jnl`	Promote Connections of Young Computational Biologists in China. Genom. Proteom. Bioinform. Shihua Zhang, Xiu-Jie Wang
2013	J	`jnl`	Travelling waves and global attractivity of an SIRS disease model with spatial diffusion and temporary immunity. Appl. Math. Comput. Shihua Zhang, Rui Xu
2010	J	`jnl`	Composite functional module inference: detecting cooperation between transcriptional regulation and protein interaction by mantel test. BMC Syst. Biol. Chao Wu, Fan Zhang, Xia Li, Shihua Zhang, Jiang Li, Fei Su, Kongning Li, Yuqing Yan
2008	J	`jnl`	Biomolecular network querying: a promising approach in systems biology. BMC Syst. Biol. Shihua Zhang, Xiang-Sun Zhang, Luonan Chen
2006	—	`conf`	Alignment of Protein Interaction Networks by Integer Quadratic Programming. EMBC Zhen-Ping Li, Yong Wang, Shihua Zhang, Xiang-Sun Zhang, Luonan Chen