Yan Wang

115 papers A* 2B 3C 4Misc 2Journal 70Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Dynamic Multi-Scale Hypergraph Learning Framework Driven by Features and Structures for ceRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics
Xinfei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Fengfeng Zhou, Yu-Qing Li, Yuan Fu
2026 J jnl
A pre-trained language model-based cross-modal fusion framework for predicting miRNA-drug resistance and sensitivity associations.
PLoS Comput. Biol.
Nan Sheng, Yunzhi Liu, Ling Gao, Wenju Hou, Lan Huang, Yan Wang
2026 J jnl
Attention-Guided Multiview Deep Learning Framework Uncovers miRNA-Drug Associations for Therapeutic Discovery.
J. Chem. Inf. Model.
Yan Wang, Yunzhi Liu, Chenxu Si, Jie Hong, Lei Wang, Lan Huang, Nan Sheng
2026 J jnl
HpMiX: A Disease ceRNA biomarker prediction framework driven by graph topology-constrained Mixup and hypergraph residual enhancement.
Neural Networks
Xinfei Wang, Lan Huang, Yan Wang, Renchu Guan, Zhuhong You, Fengfeng Zhou, Yuqing Li, Yuan Fu
2026 J jnl
Reliable Multimodal Cancer Survival Prediction With Confidence-Aware Risk Modeling.
IEEE J. Biomed. Health Informatics
Xuping Xie, Ye Wang, Ziqi Zhao, Qixing Yang, Lan Huang, Fengfeng Zhou, Yan Wang
2025 J jnl
A transformer-BiGRU-based framework with data augmentation and confident learning for network intrusion detection.
CoRR
Jiale Zhang, Pengfei He, Fei Li, Kewei Li, Yan Wang, Lan Huang, Ruochi Zhang, Fengfeng Zhou
2025 J jnl
Deep-Learning-Based Integration of Sequence and Structure Information for Efficiently Predicting miRNA-Drug Associations.
J. Chem. Inf. Model.
Nan Sheng, Yunzhi Liu, Ling Gao, Lei Wang, Chenxu Si, Lan Huang, Yan Wang
2025 — conf
GSAM-MRI: Frequency-Based Domain Randomization for Generalized MR Image Segmentation with Segment Anything Model.
BIBM
Lan Huang, Ziqi Zhao, Yinglu Sun, Xinfei Wang, Qixing Yang, Xuping Xie, Wenju Hou, Chunjie Guo, Yan Wang
2025 J jnl
HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set.
Expert Syst. Appl.
Jie Hong, Wenju Hou, Nan Sheng, Chunman Zuo, Yan Wang
2025 J jnl
Multi-view fusion based on graph convolutional network with attention mechanism for predicting miRNA related to drugs.
PLoS Comput. Biol.
Nan Sheng, Yunzhi Liu, Ling Gao, Lei Wang, Lan Huang, Yan Wang
2025 A* conf
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering.
AAAI
Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang
2025 J jnl
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks.
J. Chem. Inf. Model.
Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Fengfeng Zhou, Yuqing Li, Ziqi Zhao
2025 J jnl
PCG-CAM: Enhanced class activation map using principal components of gradients and its applications in brain MRI.
Inf. Sci.
Lan Huang, Yangguang Shao, Wenju Hou, Hui Yang, Yan Wang, Nan Sheng, Yinglu Sun, Yao Wang
2025 J jnl
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids.
Briefings Bioinform.
Ruochi Zhang, Haoran Wu, Chang Liu, Qian Yang, Yuting Xiu, Kewei Li, Ningning Chen, Yu Wang, Yan Wang, Xin Gao, Fengfeng Zhou
2025 J jnl
Self-Supervised Contrastive Learning on Attribute and Topology Graphs for Predicting Relationships Among lncRNAs, miRNAs and Diseases.
IEEE J. Biomed. Health Informatics
Lan Huang, Nan Sheng, Ling Gao, Lei Wang, Wenju Hou, Jie Hong, Yan Wang
2025 J jnl
Supervised contrastive knowledge graph learning for ncRNA-disease association prediction.
Expert Syst. Appl.
Yan Wang, Xuping Xie, Ye Wang, Nan Sheng, Lan Huang, Chunman Zuo
2024 — conf
2.5D ASF-UNet: Adjacent Slice Spatial Feature Fusion Model for WMH Segmentation from 3D MR Brain Image.
BIBM
Lan Huang, Yinglu Sun, Ziqi Zhao, Chunjie Guo, Yan Wang
2024 J jnl
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nan Sheng, Xuping Xie, Yan Wang, Lan Huang, Shuangquan Zhang, Ling Gao, Hao Wang
2024 J jnl
A multi-task positive-unlabeled learning framework to predict secreted proteins in human body fluids.
Complex Intell. Syst.
Kai He, Yan Wang, Xuping Xie, Dan Shao
2024 J jnl
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer.
Briefings Bioinform.
Lan Huang, Xin-Fei Wang, Yan Wang, Ren-Chu Guan, Nan Sheng, Xuping Xie, Lei Wang, Ziqi Zhao
2024 J jnl
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.
Briefings Bioinform.
Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Qixing Yang
2024 J jnl
An Image Histogram Equalization Acceleration Method for Field-Programmable Gate Arrays Based on a Two-Dimensional Configurable Pipeline.
Sensors
Yan Wang, Peirui Liu, Dalin Li, Kangping Wang, Rui Zhang
2024 J jnl
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks.
BMC Bioinform.
Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, Yan Wang, Lan Huang, Yan Qiao, Lei Wang, Zheng-Wei Li
2024 J jnl
Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering.
ACM Trans. Multim. Comput. Commun. Appl.
Yan Wang, Peize Li, Qingyi Si, Hanwen Zhang, Wenyu Zang, Zheng Lin, Peng Fu
2024 J jnl
Deep learning model for human-intuitive shoeprint reconstruction.
Expert Syst. Appl.
Muhammad Hassan, Yan Wang, Di Wang, Wei Pang, Daixi Li, You Zhou, Dong Xu, Sami ur Rahman, Amin ur Rahman, Ahmed Fateh Ameen, Peiwu Qin
2024 J jnl
EGFA-NAS: a neural architecture search method based on explosion gravitation field algorithm.
Complex Intell. Syst.
Xuemei Hu, Lan Huang, Jia Zeng, Kangping Wang, Yan Wang
2024 J jnl
FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records.
Inf. Process. Manag.
Yan Wang, Ruochi Zhang, Qian Yang, Qiong Zhou, Shengde Zhang, Yusi Fan, Lan Huang, Kewei Li, Fengfeng Zhou
2024 J jnl
Graph pooling in graph neural networks: methods and their applications in omics studies.
Artif. Intell. Rev.
Yan Wang, Wenju Hou, Nan Sheng, Ziqi Zhao, Jialin Liu, Lan Huang, Juexin Wang
2024 J jnl
Hierarchical graph neural network with subgraph perturbations for key gene cluster discovery in cancer staging.
Complex Intell. Syst.
Wenju Hou, Yan Wang, Ziqi Zhao, Yizhi Cong, Wei Pang, Yuan Tian
2024 — conf
MMF-ATAC: A User-friendly Web Server for Multiple Motifs Finding on ATAC-seq Data.
BIC
Yan Wang, Xiaotian Wu, Haoming Da, Shuangquan Zhang
2024 J jnl
MMGAT: a graph attention network framework for ATAC-seq motifs finding.
BMC Bioinform.
Xiaotian Wu, Wenju Hou, Ziqi Zhao, Lan Huang, Nan Sheng, Qixing Yang, Shuangquan Zhang, Yan Wang
2024 J jnl
MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning.
Bioinform.
Ruochi Zhang, Chao Wu, Qian Yang, Chang Liu, Yan Wang, Kewei Li, Lan Huang, Fengfeng Zhou
2024 J jnl
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks.
Briefings Bioinform.
Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Wenju Hou
2024 J jnl
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering.
CoRR
Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang
2024 A* conf
Object Attribute Matters in Visual Question Answering.
AAAI
Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang
2024 J jnl
Object Attribute Matters in Visual Question Answering.
CoRR
Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang
2023 J jnl
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nan Sheng, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yan Wang
2023 — conf
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.
BIBM
Nan Sheng, Lan Huang, Yan Wang, Ling Gao, Huiyan Sun, Xuping Xie
2023 J jnl
Data resources and computational methods for lncRNA-disease association prediction.
Comput. Biol. Medicine
Nan Sheng, Lan Huang, Yuting Lu, Hao Wang, Lili Yang, Ling Gao, Xuping Xie, Yuan Fu, Yan Wang
2023 J jnl
Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching.
Entropy
Yizhi Cong, Yan Wang, Wenju Hou, Wei Pang
2023 J jnl
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
Briefings Bioinform.
Nan Sheng, Yan Wang, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yuan Fu
2023 J jnl
OCMR: A comprehensive framework for optical chemical molecular recognition.
Comput. Biol. Medicine
Yan Wang, Ruochi Zhang, Shengde Zhang, Liming Guo, Qiong Zhou, Bowen Zhao, Xiaotong Mo, Qian Yang, Yajuan Huang, Kewei Li, Yusi Fan, Lan Huang, Fengfeng Zhou
2023 J jnl
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids.
CoRR
Ruochi Zhang, Haoran Wu, Yuting Xiu, Kewei Li, Ningning Chen, Yu Wang, Yan Wang, Xin Gao, Fengfeng Zhou
2023 J jnl
Predicting miRNA-disease associations based on PPMI and attention network.
BMC Bioinform.
Xuping Xie, Yan Wang, Kai He, Nan Sheng
2022 J jnl
Artificial intelligence in clinical research of cancers.
Briefings Bioinform.
Dan Shao, Yinfei Dai, Nianfeng Li, Xuqing Cao, Wei Zhao, Li Cheng, Zhuqing Rong, Lan Huang, Yan Wang, Jing Zhao
2022 J jnl
Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data.
Briefings Bioinform.
Shuangquan Zhang, Anjun Ma, Jing Zhao, Dong Xu, Qin Ma, Yan Wang
2022 J jnl
EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm.
Entropy
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
2022 J jnl
GUV-Net for high fidelity shoeprint generation.
Complex Intell. Syst.
Muhammad Hassan, Yan Wang, Wei Pang, Di Wang, Daixi Li, You Zhou, Dong Xu
2022 J jnl
IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references.
J. King Saud Univ. Comput. Inf. Sci.
Muhammad Hassan, Yan Wang, Wei Pang, Di Wang, Daixi Li, You Zhou, Dong Xu
2022 J jnl
MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data.
Bioinform.
Shuangquan Zhang, Lili Yang, Xiaotian Wu, Nan Sheng, Yuan Fu, Anjun Ma, Yan Wang
2022 J jnl
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.
Briefings Bioinform.
Nan Sheng, Lan Huang, Yan Wang, Jing Zhao, Ping Xuan, Ling Gao, Yangkun Cao
2022 — conf
RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker.
BIBM
Yuting Lu, Yan Wang, Nan Sheng, Hao Wang, Yuan Fu, Yuan Tian
2022 J jnl
Restorable-inpainting: A novel deep learning approach for shoeprint restoration.
Inf. Sci.
Muhammad Hassan, Yan Wang, Di Wang, Wei Pang, Kangping Wang, Daixi Li, You Zhou, Dong Xu
2021 — conf
A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network.
CSAE
Wei Xing, Kangping Wang, Huiyan Sun, Yan Wang
2021 — conf
An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data.
BIBM
Yingze Xu, Yan Wang, Xuping Xie, Feilong Wang, Qiong Chen, Huiyan Sun
2021 J jnl
Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure.
Entropy
Lan Huang, Jia Zeng, Shiqi Sun, Wencong Wang, Yan Wang, Kangping Wang
2021 J jnl
DeepSec: a deep learning framework for secreted protein discovery in human body fluids.
Bioinform.
Dan Shao, Lan Huang, Yan Wang, Kai He, Xueteng Cui, Yao Wang, Qin Ma, Juan Cui
2021 J jnl
HBFP: a new repository for human body fluid proteome.
Database J. Biol. Databases Curation
Dan Shao, Lan Huang, Yan Wang, Xueteng Cui, Yufei Li, Yao Wang, Qin Ma, Wei Du, Juan Cui
2021 J jnl
Human body-fluid proteome: quantitative profiling and computational prediction.
Briefings Bioinform.
Lan Huang, Dan Shao, Yan Wang, Xueteng Cui, Yufei Li, Qian Chen, Juan Cui
2021 J jnl
Minimum Distribution Support Vector Clustering.
Entropy
Yan Wang, Jiali Chen, Xuping Xie, Sen Yang, Wei Pang, Lan Huang, Shuangquan Zhang, Shishun Zhao
2021 C conf
Research and Application of Reinforcement Learning Recommendation Method for Taobao.
ISCC
Lan Huang, Xiaofang Zhang, Yan Wang, Xuping Xie
2021 J jnl
SGPNet: A Three-Dimensional Multitask Residual Framework for Segmentation and IDH Genotype Prediction of Gliomas.
Comput. Intell. Neurosci.
Yao Wang, Yan Wang, Chunjie Guo, Shuangquan Zhang, Lili Yang
2021 J jnl
The bioinformatics toolbox for circRNA discovery and analysis.
Briefings Bioinform.
Liang Chen, Changliang Wang, Huiyan Sun, Juexin Wang, Yanchun Liang, Yan Wang, Garry Wong
2020 J jnl
An Efficient v-Minimum Absolute Deviation Distribution Regression Machine.
IEEE Access
Yan Wang, Yao Wang, Yingying Song, Xuping Xie, Lan Huang, Wei Pang, George M. Coghill
2020 J jnl
Deep Learning Analysis and Age Prediction from Shoeprints.
CoRR
Muhammad Hassan, Yan Wang, Di Wang, Daixi Li, Yanchun Liang, You Zhou, Dong Xu
2019 — conf
Computational Prediction of Human Body-Fluid Protein.
BIBM
Dan Shao, Lan Huang, Yan Wang, Xueteng Cui, Kai He, Yao Wang
2019 J jnl
Explosion gravitation field algorithm with dust sampling for unconstrained optimization.
Appl. Soft Comput.
Xuemei Hu, Lan Huang, Yan Wang, Wei Pang
2018 — conf
ε-Distance Weighted Support Vector Regression.
PAKDD (1)
Ge Ou, Yan Wang, Lan Huang, Wei Pang, George Macleod Coghill
2017 — conf
Gravitation field algorithm with optimal detection for unconstrained optimization.
ICSAI
Lan Huang, Xuemei Hu, Yan Wang, Fang Zhang, Zhendong Liu, Wei Pang
2017 — conf
Large margin distribution machine recursive feature elimination.
ICSAI
Ge Ou, Yan Wang, Wei Pang, George Macleod Coghill
2017 — conf
Pancreatic cancer biomarker detection using recursive feature elimination based on Support Vector Machine and large margin distribution machine.
ICSAI
Yidan Lv, Yan Wang, Yongfei Tan, Wei Du, Keke Liu, Hao Wang
2017 J jnl
The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.
J. Bioinform. Comput. Biol.
Tianci Song, Yan Wang, Wei Du, Sha Cao, Yuan Tian, Yanchun Liang
2016 J jnl
A method for exploring implicit concept relatedness in biomedical knowledge network.
BMC Bioinform.
Tian Bai, Leiguang Gong, Ye Wang, Yan Wang, Casimir A. Kulikowski, Lan Huang
2016 C conf
PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins.
ADMA
Yan Wang, Wei Du, Yanchun Liang, Xin Chen, Chi Zhang, Wei Pang, Ying Xu
2016 C conf
Partitioning Clustering Based on Support Vector Ranking.
ADMA
Qing Peng, Yan Wang, Ge Ou, Yuan Tian, Lan Huang, Wei Pang
2016 J jnl
e-Distance Weighted Support Vector Regression.
CoRR
Yan Wang, Ge Ou
2015 — conf
A Greedy Strategy Link Clustering Method Based on AP.
ENIC
Liming Song, Lan Huang, Yan Wang, Lichao Song
2015 J jnl
A novel filter feature selection method for paired microarray expression data analysis.
Int. J. Data Min. Bioinform.
Zhongbo Cao, Yan Wang, Ying Sun, Wei Du, Yanchun Liang
2015 J jnl
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data.
Cogn. Comput.
Wei Du, Zhongbo Cao, Yan Wang, Fengfeng Zhou, Wei Pang, Xin Chen, Yuan Tian, Yanchun Liang
2014 — conf
Computational Prediction of Human Saliva-Secreted Proteins.
ISBRA
Ying Sun, Chunguang Zhou, Jiaxin Wang, Zhongbo Cao, Wei Du, Yan Wang
2014 — conf
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights.
BIBM
Yuexu Jiang, Yan Wang, Wei Pang, Liang Chen, Huiyan Sun, Yanchun Liang, Enrico Blanzieri
2014 J jnl
Operon prediction by Markov clustering.
Int. J. Data Min. Bioinform.
Wei Du, Zhongbo Cao, Yan Wang, Enrico Blanzieri, Chen Zhang, Yanchun Liang
2013 J jnl
A novel multi-stage feature selection method for microarray expression data analysis.
Int. J. Data Min. Bioinform.
Wei Du, Ying Sun, Yan Wang, Zhongbo Cao, Chen Zhang, Yanchun Liang
2013 — conf
Effective and stable feature selection method based on filter for gene signature identification in paired microarray data.
BIBM
Zhongbo Cao, Yan Wang, Ying Sun, Wei Du, Yanchun Liang
2011 — conf
Identification of Salt Tolerance Genes in Rice from Microarray Data using SVM-RFE.
BICoB
Juexin Wang, Fan Zhang, Yan Wang, Yuan Fu, Dong Xu, Yanchun Liang
2010 — conf
Gene Regulatory Network Reconstruction with Multiple Dataset Fusion and Differential Equation.
FCST
Ming Zheng, Guixia Liu, Deping Wang, Yan Wang, Chunguang Zhou, Yuan Tian
2010 J jnl
Gravitation field algorithm and its application in gene cluster.
Algorithms Mol. Biol.
Ming Zheng, Guixia Liu, Chunguang Zhou, Yanchun Liang, Yan Wang
2010 J jnl
PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features.
Artif. Intell. Medicine
Dongyu Zhao, Yan Wang, Di Luo, Xiaohu Shi, Liupu Wang, Dong Xu, Jun Yu, Yanchun Liang
2010 Misc conf
Two modeling methods for near infrared spectroscopy nondestructive quantitative analysis of the protein contents in Coredyceps militaris mycelia powder.
ICNC
Weiliang Guo, Jia Song, Jiahui Lu, Lirong Teng, Yan Wang, Wei Du
2009 — conf
Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction.
ISNN (2)
Yan Wang, Juexin Wang, Wei Du, Chuncai Wang, Yanchun Liang, Chunguang Zhou, Lan Huang
2009 J jnl
Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model.
Bioinform.
Chen Zhang, Chunguo Wu, Enrico Blanzieri, You Zhou, Yan Wang, Wei Du, Yanchun Liang
2009 — conf
Parameters optimization of support vector regression based on immune particle swarm optimization algorithm.
GEC Summit
Yan Wang, Juexin Wang, Wei Du, Chen Zhang, Yu Zhang, Chunguang Zhou
2009 — conf
Support Vector Regression for Prediction of Housing Values.
CIS (2)
Yi Zhong, Chunguang Zhou, Lan Huang, Yan Wang, Bin Yang
2008 — conf
A Novel SVC Method Based on K-means.
FGCN (3: BSBT)
Ying Sun, Yan Wang, Juexin Wang, Wei Du, Chunguang Zhou
2008 J jnl
Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis.
BMC Bioinform.
Yanxin Huang, Yongli Bao, Shu Yan Guo, Yan Wang, Chunguang Zhou, Yu Xin Li
2008 — conf
SVM Learning from Imbalanced Data by GA Sampling for Protein Domain Prediction.
ICYCS
Shu-Xue Zou, Yanxin Huang, Yan Wang, Jianxin Wang, Chunguang Zhou
2008 — conf
The Application of Support Vector Machine to Operon Prediction.
FGCN (3: BSBT)
Xiumei Wang, Wei Du, Yan Wang, Chen Zhang, Chunguang Zhou, Shuqin Wang, Yanchun Liang
2007 — conf
A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon.
ICANNGA (1)
Shuqin Wang, Yan Wang, Wei Du, Fangxun Sun, Xiumei Wang, Yanchun Liang, Chunguang Zhou
2007 — conf
A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy.
ISNN (2)
Shu-Xue Zou, Yanxin Huang, Yan Wang, Chengquan Hu, Yanchun Liang, Chunguang Zhou
2007 J jnl
A multi-approaches-guided genetic algorithm with application to operon prediction.
Artif. Intell. Medicine
Shuqin Wang, Yan Wang, Wei Du, Fangxun Sun, Xiumei Wang, Chunguang Zhou, Yanchun Liang
2007 J jnl
A novel quantum swarm evolutionary algorithm and its applications.
Neurocomputing
Yan Wang, Xiaoyue Feng, Yanxin Huang, Dongbing Pu, Wengang Zhou, Yanchun Liang, Chunguang Zhou
2007 — conf
Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods.
ISNN (1)
Wei Du, Yan Wang, Shuqin Wang, Xiumei Wang, Fangxun Sun, Chen Zhang, Chunguang Zhou, Chengquan Hu, Yanchun Liang
2007 J jnl
RFIMiner: A regression-based algorithm for recently frequent patterns in multiple time granularity data streams.
Appl. Math. Comput.
Lifeng Jia, Zhe Wang, Nan Lu, Xiujuan Xu, Dongbin Zhou, Yan Wang
2006 — conf
A Hybrid Algorithm for Solving Generalized Class Cover Problem.
ICNC (1)
Yanxin Huang, Chunguang Zhou, Yan Wang, Yongli Bao, Yin Wu, Yu-xin Li
2006 Misc conf
An Evolution Computation Based Approach to Synthesize Video Texture.
International Conference on Computational Science (2)
Yu Meng, Wen-Hui Li, Yan Wang, Wu Guo, Wei Pang
2006 — conf
Prediction of Protein Domains from Sequence Information Using Support Vector Machines.
ISNN (2)
Shu-Xue Zou, Yanxin Huang, Yan Wang, Chunguang Zhou
2006 B conf
Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining.
PAKDD
Ping Ling, Yan Wang, Chunguang Zhou
2005 — conf
A Fuzzy Neural Network System Based on Generalized Class Cover Problem.
FSKD (1)
Yanxin Huang, Yan Wang, Wengang Zhou, Chunguang Zhou
2005 — conf
A Fuzzy Neural Network System Based on Generalized Class Cover and Particle Swarm Optimization.
ICIC (2)
Yanxin Huang, Yan Wang, Wengang Zhou, Zhezhou Yu, Chunguang Zhou
2005 — conf
A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem.
ICNC (2)
Yan Wang, Xiaoyue Feng, Yanxin Huang, Wengang Zhou, Yanchun Liang, Chunguang Zhou
2005 — conf
Analysis of Gene Expression Data: Application of Quantum-Inspired Evolutionary Algorithm to Minimum Sum-of-Squares Clustering.
RSFDGrC (2)
Wengang Zhou, Chunguang Zhou, Yanxin Huang, Yan Wang
2005 C conf
Two-Phase Support Vector Clustering for Multi-Relational Data Mining.
CW
Ping Ling, Yan Wang, Nan Lu, Jianyu Wang, Chunguang Zhou, Shuang Liang
2004 B conf
A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO.
PRICAI
Xiaoyue Feng, Yanchun Liang, Yanfeng Sun, Heow Pueh Lee, Chunguang Zhou, Yan Wang
2004 — conf
A Rough-Set-Based Fuzzy-Neural-Network System for Taste Signal Identification.
ISNN (2)
Yanxin Huang, Chunguang Zhou, Shu-Xue Zou, Yan Wang, Yanchun Liang
2004 B conf
Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.
ICONIP
Yan Wang, Chunguang Zhou, Yanxin Huang, Xiaoyue Feng