Minghua Deng

109 papers A* 15A 2B 7C 1Misc 3Journal 66Unranked 14
YearRankTypeTitle / Venue / Authors
2025 A* conf
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation.
AAAI
Qiuyan He, Minghua Deng
2025 — conf
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering.
ACL (Findings)
Yiwei Fu, Yuxing Zhang, Chunchun Chen, JianwenMa JianwenMa, Quan Yuan, Rong-Cheng Tu, Xinli Huang, Wei Ye, Xiao Luo, Minghua Deng
2025 J jnl
Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets.
BMC Bioinform.
Zihao Wang, Zeyu Wu, Minghua Deng
2024 J jnl
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2024 J jnl
Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data.
Briefings Bioinform.
Hui Wan, Musu Yuan, Yiwei Fu, Minghua Deng
2024 J jnl
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2024 A* conf
Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data.
IJCAI
Yuyao Zhai, Liang Chen, Minghua Deng
2024 J jnl
Improving tree probability estimation with stochastic optimization and variance reduction.
Stat. Comput.
Tianyu Xie, Musu Yuan, Minghua Deng, Cheng Zhang
2024 J jnl
Intrinsic structure exploitation with dual alignment for universal visual recognition.
Knowl. Based Syst.
Yuyao Zhai, Liang Chen, Minghua Deng
2024 J jnl
SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data.
Briefings Bioinform.
Musu Yuan, Hui Wan, Zihao Wang, Qirui Guo, Minghua Deng
2024 J jnl
scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.
Briefings Bioinform.
Yuyao Zhai, Liang Chen, Minghua Deng
2024 J jnl
scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data.
Briefings Bioinform.
Yuyao Zhai, Liang Chen, Minghua Deng
2024 J jnl
scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinement.
Briefings Bioinform.
Qirui Guo, Musu Yuan, Lei Zhang, Minghua Deng
2023 J jnl
A Survey on Deep Hashing Methods.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2023 J jnl
Clustering single-cell multi-omics data with MoClust.
Bioinform.
Musu Yuan, Liang Chen, Minghua Deng
2023 A* conf
Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data.
AAAI
Yuyao Zhai, Liang Chen, Minghua Deng
2023 J jnl
Hierarchical graph transformer with contrastive learning for protein function prediction.
Bioinform.
Zhonghui Gu, Xiao Luo, Jiaxiao Chen, Minghua Deng, Luhua Lai
2023 A* conf
Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data.
IJCAI
Yuyao Zhai, Liang Chen, Minghua Deng
2023 J jnl
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
CoRR
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2023 J jnl
scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery.
Briefings Bioinform.
Yuyao Zhai, Liang Chen, Minghua Deng
2022 Misc conf
DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.
ICASSP
Zeyu Ma, Yuhang Guo, Xiao Luo, Chong Chen, Minghua Deng, Wei Cheng, Guangming Lu
2022 A* conf
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.
ICDE
Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022 A* conf
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation.
AAAI
Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng
2022 J jnl
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Neural Networks
Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang
2022 A* conf
Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation.
CVPR
Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng
2022 J jnl
Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning.
IEEE Signal Process. Lett.
Xiao Luo, Zeyu Ma, Wei Cheng, Minghua Deng
2022 A* conf
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval.
IJCAI
Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu
2022 A* conf
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation.
AAAI
Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng
2022 A* conf
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation.
AAAI
Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan
2022 J jnl
Profiling transcription factor activity dynamics using intronic reads in time-series transcriptome data.
PLoS Comput. Biol.
Yan Wu, Lingfeng Xue, Wen Huang, Minghua Deng, Yihan Lin
2022 J jnl
Rare variant association tests for ancestry-matched case-control data based on conditional logistic regression.
Briefings Bioinform.
Shanshan Cheng, Jingjing Lyu, Xian Shi, Kai Wang, Zengmiao Wang, Minghua Deng, Baoluo Sun, Chaolong Wang
2022 J jnl
Statistical Methods for Microbiome Compositional Data Network Inference: A Survey.
J. Comput. Biol.
Liang Chen, Hui Wan, Qiuyan He, Shun He, Minghua Deng
2022 A* conf
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
IJCAI
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022 J jnl
Uncovering the Dominant Motion Modes of Allosteric Regulation Improves Allosteric Site Prediction.
J. Chem. Inf. Model.
Juan Xie, Shiwei Wang, Youjun Xu, Minghua Deng, Luhua Lai
2022 J jnl
scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type Perception.
Genom. Proteom. Bioinform.
Hui Wan, Liang Chen, Minghua Deng
2022 J jnl
scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.
Bioinform.
Musu Yuan, Liang Chen, Minghua Deng
2022 J jnl
scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data.
Bioinform.
Hui Wan, Liang Chen, Minghua Deng
2021 A* conf
A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing.
ACM Multimedia
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2021 B conf
ARGO: Modeling Heterogeneity in E-commerce Recommendation.
IJCNN
Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma
2021 J jnl
ARGO: Modeling Heterogeneity in E-commerce Recommendation.
CoRR
Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma
2021 B conf
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability.
ICTAI
Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng
2021 A* conf
CIMON: Towards High-quality Hash Codes.
IJCAI
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua
2021 A* conf
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.
ICDM
Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, Jinwen Ma
2021 — conf
Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.
ICONIP (1)
Daqing Wu, Xiao Luo, Xiangyang Guo, Chong Chen, Minghua Deng, Jinwen Ma
2021 J jnl
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
CoRR
Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng, Chen Shen, Jianqiang Huang, Xian-Sheng Hua
2021 — conf
DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding.
ICIC (3)
Yuhang Guo, Xiao Luo, Liang Chen, Minghua Deng
2021 J jnl
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding.
CoRR
Yuhang Guo, Xiao Luo, Liang Chen, Minghua Deng
2021 — conf
Deep Supervised Hashing by Classification for Image Retrieval.
ICONIP (4)
Xiao Luo, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng
2021 A conf
Deep Unsupervised Hashing by Distilled Smooth Guidance.
ICME
Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
2021 J jnl
Deep Unsupervised Hashing by Distilled Smooth Guidance.
CoRR
Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
2021 A conf
Deep Unsupervised Hashing by Global and Local Consistency.
ICME
Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng
2021 A* conf
Graph Contrastive Clustering.
ICCV
Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
2021 J jnl
Graph Contrastive Clustering.
CoRR
Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
2021 J jnl
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation.
CoRR
Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Lingyu Duan
2021 J jnl
Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptation.
Bioinform.
Liang Chen, Qiuyan He, Yuyao Zhai, Minghua Deng
2020 J jnl
A Survey on Deep Hashing Methods.
CoRR
Xiao Luo, Chong Chen, Huasong Zhong, Hao Zhang, Minghua Deng, Jianqiang Huang, Xiansheng Hua
2020 J jnl
CIMON: Towards High-quality Hash Codes.
CoRR
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Huasong Zhong, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2020 J jnl
Direct interaction network inference for compositional data via codaloss.
J. Bioinform. Comput. Biol.
Liang Chen, Shun He, Yuyao Zhai, Minghua Deng
2020 J jnl
Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding.
Bioinform.
Xiao Luo, Xinming Tu, Yang Ding, Ge Gao, Minghua Deng
2020 J jnl
International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019.
Quant. Biol.
Minghua Deng, Jianfeng Feng, Hong Qian, Lin Wan, Fengzhu Sun
2020 J jnl
scRMD: imputation for single cell RNA-seq data via robust matrix decomposition.
Bioinform.
Chong Chen, Changjing Wu, Linjie Wu, Xiaochen Wang, Minghua Deng, Ruibin Xi
2019 J jnl
Compositional data network analysis via lasso penalized D-trace loss.
Bioinform.
Huili Yuan, Shun He, Minghua Deng
2019 J jnl
Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
BMC Bioinform.
Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu
2019 J jnl
Network Clustering Analysis Using Mixture Exponential-Family Random Graph Models and Its Application in Genetic Interaction Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yishu Wang, Huaying Fang, Dejie Yang, Hongyu Zhao, Minghua Deng
2019 J jnl
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
BMC Bioinform.
Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu
2018 J jnl
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
CoRR
Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Shiwei Sun, Yujuan Gao, Ziwei Xie, Minghua Deng, Wei-Mou Zheng, Dongbo Bu
2018 J jnl
RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning.
BMC Bioinform.
Yujuan Gao, Sheng Wang, Minghua Deng, Jinbo Xu
2017 J jnl
Pysim-sv: a package for simulating structural variation data with GC-biases.
BMC Bioinform.
Yuchao Xia, Yun Liu, Minghua Deng, Ruibin Xi
2017 J jnl
SVmine improves structural variation detection by integrative mining of predictions from multiple algorithms.
Bioinform.
Yuchao Xia, Yun Liu, Minghua Deng, Ruibin Xi
2017 J jnl
VCNet: vector-based gene co-expression network construction and its application to RNA-seq data.
Bioinform.
Zengmiao Wang, Huaying Fang, Nelson L. S. Tang, Minghua Deng
2017 J jnl
gCoda: Conditional Dependence Network Inference for Compositional Data.
J. Comput. Biol.
Huaying Fang, Chengcheng Huang, Hongyu Zhao, Minghua Deng
2016 J jnl
A network based covariance test for detecting multivariate eQTL in saccharomyces cerevisiae.
BMC Syst. Biol.
Huili Yuan, Zhenye Li, Nelson L. S. Tang, Minghua Deng
2016 J jnl
Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics.
Bioinform.
Jie Ren, Kai Song, Minghua Deng, Gesine Reinert, Charles H. Cannon, Fengzhu Sun
2015 J jnl
CCLasso: correlation inference for compositional data through Lasso.
Bioinform.
Huaying Fang, Chengcheng Huang, Hongyu Zhao, Minghua Deng
2015 J jnl
Estimation of isoform expression in RNA-seq data using a hierarchical Bayesian model.
J. Bioinform. Comput. Biol.
Zengmiao Wang, Jun Wang, Changjing Wu, Minghua Deng
2014 J jnl
New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing.
Briefings Bioinform.
Kai Song, Jie Ren, Gesine Reinert, Minghua Deng, Michael S. Waterman, Fengzhu Sun
2013 J jnl
Alignment-Free Sequence Comparison Based on Next-Generation Sequencing Reads.
J. Comput. Biol.
Kai Song, Jie Ren, Zhiyuan Zhai, Xuemei Liu, Minghua Deng, Fengzhu Sun
2013 J jnl
Multiple alignment-free sequence comparison.
Bioinform.
Jie Ren, Kai Song, Fengzhu Sun, Minghua Deng, Gesine Reinert
2013 B ed.
Research in Computational Molecular Biology - 17th Annual International Conference, RECOMB 2013, Beijing, China, April 7-10, 2013. Proceedings
RECOMB
Minghua Deng, Rui Jiang, Fengzhu Sun, Xuegong Zhang
2012 B conf
Alignment-Free Sequence Comparison Based on Next Generation Sequencing Reads: Extended Abstract.
RECOMB
Kai Song, Jie Ren, Zhiyuan Zhai, Xuemei Liu, Minghua Deng, Fengzhu Sun
2011 J jnl
A Lasso regression model for the construction of microRNA-target regulatory networks.
Bioinform.
Yiming Lu, Yang Zhou, Wubin Qu, Minghua Deng, Chenggang Zhang
2011 J jnl
Integrating multiple types of data to predict novel cell cycle-related genes.
BMC Syst. Biol.
Lin Wang, Lin Hou, Minping Qian, Fangting Li, Minghua Deng
2011 J jnl
Modular analysis of the probabilistic genetic interaction network.
Bioinform.
Lin Hou, Lin Wang, Minping Qian, Dong Li, Chao Tang, Yunping Zhu, Minghua Deng, Fangting Li
2011 — ch.
Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4
Handbook of Statistical Bioinformatics
Hyonho Chun, Jia Kang, Xianghua Zhang, Minghua Deng, Haisu Ma, Hongyu Zhao
2010 — conf
A hybridization model for tiling array analysis.
BIBM Workshops
Quan Wang, Linbo Wang, Minping Qian, Minghua Deng
2010 J jnl
Binding Energy Landscape Analysis Helps to Discriminate True Hits from High-Scoring Decoys in Virtual Screening.
J. Chem. Inf. Model.
Dengguo Wei, Hao Zheng, Naifang Su, Minghua Deng, Luhua Lai
2010 J jnl
Combinatorial regulation of transcription factors and microRNAs.
BMC Syst. Biol.
Naifang Su, Yufu Wang, Minping Qian, Minghua Deng
2010 J jnl
The Biases of Copy Numbers from Affymetrix SNP Arrays and Their Corrections.
Commun. Inf. Syst.
Quan Chen, Minghua Deng, Minping Qian, Lin Wan, Yi Xiao
2009 — conf
A Robust Empirical Bayesian Method for Detecting Differentially Expressed Genes.
BMEI
Fugui Wang, Lin Hou, Jiangfeng Xu, Minping Qian, Minghua Deng
2009 — conf
Feature-Based Causal Structure Discovery in Protein and Gene Expression Data with Bayesian Network.
ICNC (2)
Jingwei Liu, Minghua Deng, Minping Qian
2009 — conf
Pathway Detection Based on Hierarchical LASSO Regression Model.
BMEI
Hao Zheng, Fugui Wang, Jiangfeng Xu, Nengfeng Zhou, Minping Qian, Ji Zhu, Minghua Deng
2009 J jnl
REMAS: a new regression model to identify alternative splicing events from exon array data.
BMC Bioinform.
Hao Zheng, Xingyi Hang, Ji Zhu, Minping Qian, Wubin Qu, Chenggang Zhang, Minghua Deng
2009 J jnl
Searching for bidirectional promoters in
BMC Bioinform.
Quan Wang, Lin Wan, Dayong Li, Lihuang Zhu, Minping Qian, Minghua Deng
2009 — conf
The Implementation and Application of the Microarray Preprocessing Generalized PDNN Model.
BMEI
Wei Wei, Lin Wan, Minping Qian, Minghua Deng
2008 — conf
A Method to Correct Systematic Bias in Affymetrix SNP Arrays.
BMEI (1)
Lin Wan, Wenjiang J. Fu, Minghua Deng, Minping Qian
2008 — conf
On Design of Oligonucleotide SNP Arrays and Methods for Genotype Calling.
BMEI (1)
Wenjiang J. Fu, Ming Li, Lin Wan, Minghua Deng, Minping Qian
2006 J jnl
An integrated approach to the prediction of domain-domain interactions.
BMC Bioinform.
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen
2006 — conf
Nonequilibrium Model for Yeast Cell Cycle.
ICIC (3)
Yuping Zhang, Huan Yu, Minghua Deng, Minping Qian
2006 — conf
Using a Stochastic AdaBoost Algorithm to Discover Interactome Motif Pairs from Sequences.
ICIC (3)
Huan Yu, Minping Qian, Minghua Deng
2004 C conf
An Improvement for Eulerian Path of Assembly.
SNPD
Shenglan Peng, Minghua Deng, Minping Qian
2004 J jnl
An Integrated Probabilistic Model for Functional Prediction of Proteins.
J. Comput. Biol.
Minghua Deng, Ting Chen, Fengzhu Sun
2004 Misc conf
Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast.
Pacific Symposium on Biocomputing
Gert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble
2004 J jnl
Mapping gene ontology to proteins based on protein-protein interaction data.
Bioinform.
Minghua Deng, Zhidong Tu, Fengzhu Sun, Ting Chen
2003 B conf
An integrated probabilistic model for functional prediction of proteins.
RECOMB
Minghua Deng, Ting Chen, Fengzhu Sun
2003 Misc conf
Assessment of the reliability of protein-protein interactions and protein function prediction.
Pacific Symposium on Biocomputing
Minghua Deng, Fengzhu Sun, Ting Chen
2003 J jnl
Prediction of Protein Function Using Protein-Protein Interaction Data.
J. Comput. Biol.
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun
2002 B conf
Inferring domain-domain interactions from protein-protein interactions.
RECOMB
Minghua Deng, Shipra Mehta, Fengzhu Sun, Ting Chen
2002 — conf
Prediction of Protein Function Using Protein-Protein Interaction Data.
CSB
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, Fengzhu Sun
2000 B conf
A Novel Algorithm for Handwritten Chinese Character Recognition.
ICMI
Feng Qi, Minghua Deng, Minping Qian, Xueqing Zhu