Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization. - Yan Wang 028; Chunguang Zhou; Yanxin Huang; Xiaoyue Feng (ICONIP, 2004)

A Rough-Set-Based Fuzzy-Neural-Network System for Taste Signal Identification. - Yanxin Huang; Chunguang Zhou; Shu-Xue Zou; Yan Wang 028; Yanchun Liang 001 (ISNN (2), 2004)

A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO. - Xiaoyue Feng; Yanchun Liang 001; Yanfeng Sun; Heow Pueh Lee; Chunguang Zhou; Yan Wang 028 (PRICAI, 2004)

Two-Phase Support Vector Clustering for Multi-Relational Data Mining. - Ping Ling; Yan Wang 028; Nan Lu; JianYu Wang; Chunguang Zhou; Shuang Liang (CW, 2005)

A Fuzzy Neural Network System Based on Generalized Class Cover Problem. - Yanxin Huang; Yan Wang 028; Wengang Zhou; Chunguang Zhou (FSKD (1), 2005)

A Fuzzy Neural Network System Based on Generalized Class Cover and Particle Swarm Optimization. - Yanxin Huang; Yan Wang 028; Wengang Zhou; Zhezhou Yu; Chunguang Zhou (ICIC (2), 2005)

A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem. - Yan Wang 028; Xiaoyue Feng; Yanxin Huang; Wengang Zhou; Yanchun Liang 001; Chunguang Zhou (ICNC (2), 2005)

Analysis of Gene Expression Data: Application of Quantum-Inspired Evolutionary Algorithm to Minimum Sum-of-Squares Clustering. - Wengang Zhou; Chunguang Zhou; Yanxin Huang; Yan Wang 028 (RSFDGrC (2), 2005)

An Evolution Computation Based Approach to Synthesize Video Texture. - Yu Meng; Wen-hui Li; Yan Wang 028; Wu Guo; Wei Pang 001 (International Conference on Computational Science (2), 2006)

A Hybrid Algorithm for Solving Generalized Class Cover Problem. - Yanxin Huang; Chunguang Zhou; Yan Wang 028; Yongli Bao; Yin Wu; Yu-xin Li 001 (ICNC (1), 2006)

Prediction of Protein Domains from Sequence Information Using Support Vector Machines. - Shu-Xue Zou; Yanxin Huang; Yan Wang 028; Chunguang Zhou (ISNN (2), 2006)

Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining. - Ping Ling; Yan Wang 028; Chunguang Zhou (PAKDD, 2006)

A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon. - Shuqin Wang; Yan Wang 028; Wei Du 002; Fangxun Sun; Xiumei Wang; Yanchun Liang 001; Chunguang Zhou (ICANNGA (1), 2007)

Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods. - Wei Du 002; Yan Wang 028; Shuqin Wang; Xiumei Wang; Fangxun Sun; Chen Zhang; Chunguang Zhou; Chengquan Hu; Yanchun Liang 001 (ISNN (1), 2007)

A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy. - Shu-Xue Zou; Yanxin Huang; Yan Wang 028; Chengquan Hu; Yanchun Liang 001; Chunguang Zhou (ISNN (2), 2007)

RFIMiner: A regression-based algorithm for recently frequent patterns in multiple time granularity data streams. - Lifeng Jia; Zhe Wang 007; Nan Lu; Xiujuan Xu; Dongbin Zhou; Yan Wang 028 (Appl. Math. Comput., 2007)

A multi-approaches-guided genetic algorithm with application to operon prediction. - Shuqin Wang; Yan Wang 028; Wei Du 002; Fangxun Sun; Xiumei Wang; Chunguang Zhou; Yanchun Liang 001 (Artif. Intell. Medicine, 2007)

A novel quantum swarm evolutionary algorithm and its applications. - Yan Wang 028; Xiaoyue Feng; Yanxin Huang; Dongbing Pu; Wengang Zhou; Yanchun Liang 001; Chunguang Zhou (Neurocomputing, 2007)

A Novel SVC Method Based on K-means. - Ying Sun; Yan Wang 028; Juexin Wang; Wei Du 002; Chunguang Zhou (FGCN (3: BSBT), 2008)

The Application of Support Vector Machine to Operon Prediction. - Xiumei Wang; Wei Du 002; Yan Wang 028; Chen Zhang; Chunguang Zhou; Shuqin Wang; Yanchun Liang 001 (FGCN (3: BSBT), 2008)

SVM Learning from Imbalanced Data by GA Sampling for Protein Domain Prediction. - Shu-Xue Zou; Yanxin Huang; Yan Wang 028; Jianxin Wang; Chunguang Zhou (ICYCS, 2008)

Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis. - Yanxin Huang; Yongli Bao; Shu Yan Guo; Yan Wang 028; Chunguang Zhou; Yu Xin Li 001 (BMC Bioinform., 2008)

Support Vector Regression for Prediction of Housing Values. - Yi Zhong; Chunguang Zhou; Lan Huang 002; Yan Wang 028; Bin Yang (CIS (2), 2009)

Parameters optimization of support vector regression based on immune particle swarm optimization algorithm. - Yan Wang 028; Juexin Wang; Wei Du 002; Chen Zhang; Yu Zhang; Chunguang Zhou (GEC Summit, 2009)

Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction. - Yan Wang 028; Juexin Wang; Wei Du 002; Chuncai Wang; Yanchun Liang 001; Chunguang Zhou; Lan Huang 002 (ISNN (2), 2009)

Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model. - Chen Zhang; Chunguo Wu; Enrico Blanzieri; You Zhou 008; Yan Wang 028; Wei Du 002; Yanchun Liang 001 (Bioinform., 2009)

Gene Regulatory Network Reconstruction with Multiple Dataset Fusion and Differential Equation. - Ming Zheng; Guixia Liu; Deping Wang; Yan Wang 028; Chunguang Zhou; Yuan Tian 016 (FCST, 2010)

Two modeling methods for near infrared spectroscopy nondestructive quantitative analysis of the protein contents in Coredyceps militaris mycelia powder. - Weiliang Guo; Jia Song; Jiahui Lu; Lirong Teng; Yan Wang 028; Wei Du 002 (ICNC, 2010)

Gravitation field algorithm and its application in gene cluster. - Ming Zheng; Guixia Liu; Chunguang Zhou; Yanchun Liang 001; Yan Wang 028 (Algorithms Mol. Biol., 2010)

PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features. - Dongyu Zhao; Yan Wang 028; Di Luo; Xiaohu Shi; Liupu Wang; Dong Xu 002; Jun Yu; Yanchun Liang 001 (Artif. Intell. Medicine, 2010)

Identification of Salt Tolerance Genes in Rice from Microarray Data using SVM-RFE. - Juexin Wang; Fan Zhang; Yan Wang 028; Yuan Fu; Dong Xu 002; Yanchun Liang 001 (BICoB, 2011)

Effective and stable feature selection method based on filter for gene signature identification in paired microarray data. - Zhongbo Cao; Yan Wang 028; Ying Sun; Wei Du 002; Yanchun Liang 001 (BIBM, 2013)

A novel multi-stage feature selection method for microarray expression data analysis. - Wei Du 002; Ying Sun; Yan Wang 028; Zhongbo Cao; Chen Zhang; Yanchun Liang 001 (Int. J. Data Min. Bioinform., 2013)

Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights. - Yuexu Jiang; Yan Wang 028; Wei Pang 001; Liang Chen 021; Huiyan Sun; Yanchun Liang 001; Enrico Blanzieri (BIBM, 2014)

Computational Prediction of Human Saliva-Secreted Proteins. - Ying Sun; Chunguang Zhou; Jiaxin Wang; Zhongbo Cao; Wei Du 002; Yan Wang 028 (ISBRA, 2014)

Operon prediction by Markov clustering. - Wei Du 002; Zhongbo Cao; Yan Wang 028; Enrico Blanzieri; Chen Zhang; Yanchun Liang 001 (Int. J. Data Min. Bioinform., 2014)

A Greedy Strategy Link Clustering Method Based on AP. - Liming Song; Lan Huang 002; Yan Wang 028; Lichao Song (ENIC, 2015)

Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data. - Wei Du 002; Zhongbo Cao; Yan Wang 028; Fengfeng Zhou; Wei Pang 001; Xin Chen; Yuan Tian 016; Yanchun Liang 001 (Cogn. Comput., 2015)

A novel filter feature selection method for paired microarray expression data analysis. - Zhongbo Cao; Yan Wang 028; Ying Sun; Wei Du 002; Yanchun Liang 001 (Int. J. Data Min. Bioinform., 2015)

Partitioning Clustering Based on Support Vector Ranking. - Qing Peng; Yan Wang 028; Ge Ou; Yuan Tian 016; Lan Huang 002; Wei Pang 001 (ADMA, 2016)

PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins. - Yan Wang 028; Wei Du 002; Yanchun Liang 001; Xin Chen; Chi Zhang 021; Wei Pang 001; Ying Xu 001 (ADMA, 2016)

A method for exploring implicit concept relatedness in biomedical knowledge network. - Tian Bai 002; Leiguang Gong; Ye Wang; Yan Wang 028; Casimir A. Kulikowski; Lan Huang 002 (BMC Bioinform., 2016)

e-Distance Weighted Support Vector Regression. - Yan Wang 028; Ge Ou (CoRR, 2016)

Gravitation field algorithm with optimal detection for unconstrained optimization. - Lan Huang 002; Xuemei Hu; Yan Wang 028; Fang Zhang; Zhendong Liu; Wei Pang 001 (ICSAI, 2017)

Pancreatic cancer biomarker detection using recursive feature elimination based on Support Vector Machine and large margin distribution machine. - Yidan Lv; Yan Wang 028; Yongfei Tan; Wei Du 002; Keke Liu; Hao Wang (ICSAI, 2017)

Large margin distribution machine recursive feature elimination. - Ge Ou; Yan Wang 028; Wei Pang 001; George Macleod Coghill (ICSAI, 2017)

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning. - Tianci Song; Yan Wang 028; Wei Du 002; Sha Cao; Yuan Tian 016; Yanchun Liang 001 (J. Bioinform. Comput. Biol., 2017)

ε-Distance Weighted Support Vector Regression. - Ge Ou; Yan Wang 028; Lan Huang 002; Wei Pang 001; George Macleod Coghill (PAKDD (1), 2018)

Computational Prediction of Human Body-Fluid Protein. - Dan Shao; Lan Huang 002; Yan Wang 028; Xueteng Cui; Kai He; Yao Wang 010 (BIBM, 2019)

Explosion gravitation field algorithm with dust sampling for unconstrained optimization. - Xuemei Hu; Lan Huang 002; Yan Wang 028; Wei Pang 001 (Appl. Soft Comput., 2019)

An Efficient v-Minimum Absolute Deviation Distribution Regression Machine. - Yan Wang 028; Yao Wang 010; Yingying Song; Xuping Xie; Lan Huang 002; Wei Pang 001; George M. Coghill (IEEE Access, 2020)

Deep Learning Analysis and Age Prediction from Shoeprints. - Muhammad Hassan; Yan Wang 028; Di Wang 004; Daixi Li; Yanchun Liang 001; You Zhou 008; Dong Xu 002 (CoRR, 2020)

An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data. - Yingze Xu; Yan Wang 028; Xuping Xie; Feilong Wang; Qiong Chen; Huiyan Sun (BIBM, 2021)

A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network. - Wei Xing; Kangping Wang; Huiyan Sun; Yan Wang 028 (CSAE, 2021)

Research and Application of Reinforcement Learning Recommendation Method for Taobao. - Lan Huang 002; Xiaofang Zhang; Yan Wang 028; Xuping Xie (ISCC, 2021)

The bioinformatics toolbox for circRNA discovery and analysis. - Liang Chen 021; Changliang Wang; Huiyan Sun; Juexin Wang; Yanchun Liang 001; Yan Wang 028; Garry Wong (Briefings Bioinform., 2021)

Human body-fluid proteome: quantitative profiling and computational prediction. - Lan Huang 002; Dan Shao; Yan Wang 028; Xueteng Cui; Yufei Li; Qian Chen; Juan Cui (Briefings Bioinform., 2021)

HBFP: a new repository for human body fluid proteome. - Dan Shao; Lan Huang 002; Yan Wang 028; Xueteng Cui; Yufei Li; Yao Wang 010; Qin Ma 003; Wei Du 002; Juan Cui (Database J. Biol. Databases Curation, 2021)

DeepSec: a deep learning framework for secreted protein discovery in human body fluids. - Dan Shao; Lan Huang 002; Yan Wang 028; Kai He; Xueteng Cui; Yao Wang 010; Qin Ma 003; Juan Cui (Bioinform., 2021)

SGPNet: A Three-Dimensional Multitask Residual Framework for Segmentation and IDH Genotype Prediction of Gliomas. - Yao Wang 010; Yan Wang 028; Chunjie Guo; Shuangquan Zhang; Lili Yang 004 (Comput. Intell. Neurosci., 2021)

Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure. - Lan Huang 002; Jia Zeng; Shiqi Sun; Wencong Wang; Yan Wang 028; Kangping Wang (Entropy, 2021)

Minimum Distribution Support Vector Clustering. - Yan Wang 028; Jiali Chen; Xuping Xie; Sen Yang; Wei Pang 001; Lan Huang 002; Shuangquan Zhang; Shishun Zhao (Entropy, 2021)

RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker. - Yuting Lu; Yan Wang 028; Nan Sheng; Hao Wang; Yuan Fu; Yuan Tian 016 (BIBM, 2022)

Artificial intelligence in clinical research of cancers. - Dan Shao; Yinfei Dai; Nianfeng Li; Xuqing Cao; Wei Zhao; Li Cheng; Zhuqing Rong; Lan Huang 002; Yan Wang 028; Jing Zhao (Briefings Bioinform., 2022)

Multi-channel graph attention autoencoders for disease-related lncRNAs prediction. - Nan Sheng; Lan Huang 002; Yan Wang 028; Jing Zhao; Ping Xuan; Ling Gao; Yangkun Cao (Briefings Bioinform., 2022)

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data. - Shuangquan Zhang; Anjun Ma; Jing Zhao; Dong Xu 002; Qin Ma 003; Yan Wang 028 (Briefings Bioinform., 2022)

MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data. - Shuangquan Zhang; Lili Yang 004; Xiaotian Wu; Nan Sheng; Yuan Fu; Anjun Ma; Yan Wang 028 (Bioinform., 2022)

EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm. - Lan Huang 002; Xuemei Hu; Yan Wang 028; Yuan Fu (Entropy, 2022)

Restorable-inpainting: A novel deep learning approach for shoeprint restoration. - Muhammad Hassan; Yan Wang 028; Di Wang 004; Wei Pang 001; Kangping Wang; Daixi Li; You Zhou 008; Dong Xu 002 (Inf. Sci., 2022)

IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references. - Muhammad Hassan; Yan Wang 028; Wei Pang 001; Di Wang 004; Daixi Li; You Zhou 008; Dong Xu 002 (J. King Saud Univ. Comput. Inf. Sci., 2022)

Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases. - Nan Sheng; Lan Huang 002; Yan Wang 028; Ling Gao; Huiyan Sun; Xuping Xie (BIBM, 2023)

PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids. - Ruochi Zhang; Haoran Wu; Yuting Xiu; Kewei Li; Ningning Chen; Yu Wang 225; Yan Wang 028; Xin Gao 001; Fengfeng Zhou (CoRR, 2023)

A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction. - Nan Sheng; Lan Huang 002; Ling Gao; Yangkun Cao; Xuping Xie; Yan Wang 028 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching. - Yizhi Cong; Yan Wang 028; Wenju Hou; Wei Pang 001 (Entropy, 2023)

Data resources and computational methods for lncRNA-disease association prediction. - Nan Sheng; Lan Huang 002; Yuting Lu; Hao Wang; Lili Yang 004; Ling Gao; Xuping Xie; Yuan Fu; Yan Wang 028 (Comput. Biol. Medicine, 2023)

Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases. - Nan Sheng; Yan Wang 028; Lan Huang 002; Ling Gao; Yangkun Cao; Xuping Xie; Yuan Fu (Briefings Bioinform., 2023)

OCMR: A comprehensive framework for optical chemical molecular recognition. - Yan Wang 028; Ruochi Zhang; Shengde Zhang; Liming Guo; Qiong Zhou; Bowen Zhao; Xiaotong Mo; Qian Yang; Yajuan Huang; Kewei Li; Yusi Fan; Lan Huang 002; et al. (Comput. Biol. Medicine, 2023)

Predicting miRNA-disease associations based on PPMI and attention network. - Xuping Xie; Yan Wang 028; Kai He; Nan Sheng (BMC Bioinform., 2023)

Object Attribute Matters in Visual Question Answering. - Peize Li; Qingyi Si; Peng Fu 008; Zheng Lin 001; Yan Wang 028 (AAAI, 2024)

MMF-ATAC: A User-friendly Web Server for Multiple Motifs Finding on ATAC-seq Data. - Yan Wang 028; Xiaotian Wu; Haoming Da; Shuangquan Zhang (BIC, 2024)

A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer. - Lan Huang 002; Xin-Fei Wang; Yan Wang 028; Ren-Chu Guan; Nan Sheng; Xuping Xie; Lei Wang 121; Ziqi Zhao (Briefings Bioinform., 2024)

Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. - Xin-Fei Wang; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Wenju Hou (Briefings Bioinform., 2024)

A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers. - Xin-Fei Wang; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Qixing Yang (Briefings Bioinform., 2024)

MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning. - Ruochi Zhang; Chao Wu; Qian Yang; Chang Liu 082; Yan Wang 028; Kewei Li; Lan Huang 002; Fengfeng Zhou (Bioinform., 2024)

Deep learning model for human-intuitive shoeprint reconstruction. - Muhammad Hassan; Yan Wang 028; Di Wang 004; Wei Pang 001; Daixi Li; You Zhou 008; Dong Xu 002; Sami Ur Rahman; Amin ur Rahman; Ahmed Fateh Ameen; Peiwu Qin (Expert Syst. Appl., 2024)

An Image Histogram Equalization Acceleration Method for Field-Programmable Gate Arrays Based on a Two-Dimensional Configurable Pipeline. - Yan Wang 028; Peirui Liu; Dalin Li; Kangping Wang; Rui Zhang 084 (Sensors, 2024)

A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions. - Nan Sheng; Xuping Xie; Yan Wang 028; Lan Huang 002; Shuangquan Zhang; Ling Gao; Hao Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records. - Yan Wang 028; Ruochi Zhang; Qian Yang; Qiong Zhou; Shengde Zhang; Yusi Fan; Lan Huang 002; Kewei Li; Fengfeng Zhou (Inf. Process. Manag., 2024)

Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering. - Yan Wang 028; Peize Li; Qingyi Si; Hanwen Zhang; Wenyu Zang; Zheng Lin 001; Peng Fu 008 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Graph pooling in graph neural networks: methods and their applications in omics studies. - Yan Wang 028; Wenju Hou; Nan Sheng; Ziqi Zhao; Jialin Liu; Lan Huang 002; Juexin Wang (Artif. Intell. Rev., 2024)

BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks. - Xin-Fei Wang; Chang-Qing Yu; Zhu-Hong You; Yan Wang 028; Lan Huang 002; Yan Qiao; Lei Wang 121; Zheng-Wei Li 001 (BMC Bioinform., 2024)

MMGAT: a graph attention network framework for ATAC-seq motifs finding. - Xiaotian Wu; Wenju Hou; Ziqi Zhao; Lan Huang 002; Nan Sheng; Qixing Yang; Shuangquan Zhang; Yan Wang 028 (BMC Bioinform., 2024)

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering. - Peize Li; Qingyi Si; Peng Fu 008; Zheng Lin 001; Yan Wang 028 (AAAI, 2025)

PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids. - Ruochi Zhang; Haoran Wu; Chang Liu 082; Qian Yang; Yuting Xiu; Kewei Li; Ningning Chen; Yu Wang 225; Yan Wang 028; Xin Gao 001; Fengfeng Zhou (Briefings Bioinform., 2025)

HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set. - Jie Hong; Wenju Hou; Nan Sheng; Chunman Zuo; Yan Wang 028 (Expert Syst. Appl., 2025)

Supervised contrastive knowledge graph learning for ncRNA-disease association prediction. - Yan Wang 028; Xuping Xie; Ye Wang; Nan Sheng; Lan Huang 002; Chunman Zuo (Expert Syst. Appl., 2025)

PCG-CAM: Enhanced class activation map using principal components of gradients and its applications in brain MRI. - Lan Huang 002; Yangguang Shao; Wenju Hou; Hui Yang; Yan Wang 028; Nan Sheng; Yinglu Sun; Yao Wang 010 (Inf. Sci., 2025)

Deep-Learning-Based Integration of Sequence and Structure Information for Efficiently Predicting miRNA-Drug Associations. - Nan Sheng; Yunzhi Liu; Ling Gao; Lei Wang 121; Chenxu Si; Lan Huang 002; Yan Wang 028 (J. Chem. Inf. Model., 2025)

Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks. - Xin-Fei Wang; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Fengfeng Zhou; Yuqing Li; Ziqi Zhao (J. Chem. Inf. Model., 2025)

Self-Supervised Contrastive Learning on Attribute and Topology Graphs for Predicting Relationships Among lncRNAs, miRNAs and Diseases. - Lan Huang 002; Nan Sheng; Ling Gao; Lei Wang 121; Wenju Hou; Jie Hong; Yan Wang 028 (IEEE J. Biomed. Health Informatics, 2025)