A Study of Gridifying Scientific Computing Legacy Codes. - Bin Wang; Zhuoqun Xu; Cheng Xu; Yanbin Yin; Wenkui Ding; Huashan Yu (GCC, 2004)

SPD - a web-based secreted protein database. - Yunjia Chen; Yong Zhang; Yanbin Yin; Ge Gao; Songgang Li; Ying Jiang; Xiaocheng Gu; Jingchu Luo (Nucleic Acids Res., 2005)

GolgiP: prediction of Golgi-resident proteins in plants. - Wen-Chi Chou; Yanbin Yin; Ying Xu (Bioinform., 2010)

Measurement and prediction of DTMB reception quality in single frequency networks. - Keqian Yan; Wenbo Ding 001; Liwei Zhang; Yanbin Yin; Fang Yang 001; Chang-Yong Pan (IWCMC, 2011)

dbCAN: a web resource for automated carbohydrate-active enzyme annotation. - Yanbin Yin; Xizeng Mao; Jincai Yang; Xin Chen; Fenglou Mao; Ying Xu 001 (Nucleic Acids Res., 2012)

An integrated toolkit for accurate prediction and analysis of cis-regulatory motifs at a genome scale. - Qin Ma 003; Bingqiang Liu; Chuan Zhou 009; Yanbin Yin; Guojun Li; Ying Xu 001 (Bioinform., 2013)

PlantCAZyme: a database for plant carbohydrate-active enzymes. - Alexander Ekstrom; Rahil Taujale; Nathan McGinn; Yanbin Yin (Database J. Biol. Databases Curation, 2014)

ORFanFinder: automated identification of taxonomically restricted orphan genes. - Alexander Ekstrom; Yanbin Yin (Bioinform., 2016)

Symmetry analysis and reductions of the two-dimensional generalized Benney system via geometric approach. - Deng-Shan Wang; Yanbin Yin (Comput. Math. Appl., 2016)

dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. - Le Huang; Han Zhang 017; Peizhi Wu; Sarah Entwistle; Xueqiong Li; Tanner Yohe; Haidong Yi; Zhenglu Yang; Yanbin Yin (Nucleic Acids Res., 2018)

dbCAN2: a meta server for automated carbohydrate-active enzyme annotation. - Han Zhang 017; Tanner Yohe; Le Huang; Sarah Entwistle; Peizhi Wu; Zhenglu Yang; Peter Kamp Busk; Ying Xu; Yanbin Yin (Nucleic Acids Res., 2018)

Genetic Algorithm Based Optimization Method of Single Frequency Network Planning for DTMB. - Yanbin Yin; Fang Yang 001; Xunchun Li; Changyong Pan (BMSB, 2019)

Antimicrobial peptide identification using multi-scale convolutional network. - Xin Su; Jing Xu 008; Yanbin Yin; Xiongwen Quan; Han Zhang 017 (BMC Bioinform., 2019)

Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification. - Wei Li 184; Qingqing Zhao; Han Zhang 017; Xiongwen Quan; Jing Xu 008; Yanbin Yin (BIBM, 2020)

GDASC: a GPU parallel-based web server for detecting hidden batch factors. - Xiao Wang; Haidong Yi; Jia Wang; Zhandong Liu; Yanbin Yin; Han Zhang 017 (Bioinform., 2020)

eCAMI: simultaneous classification and motif identification for enzyme annotation. - Jing Xu 008; Han Zhang 017; Jinfang Zheng; Philippe Dovoedo; Yanbin Yin (Bioinform., 2020)

AcrFinder: genome mining anti-CRISPR operons in prokaryotes and their viruses. - Haidong Yi; Le Huang; Bowen Yang; Javi Gomez; Han Zhang 017; Yanbin Yin (Nucleic Acids Res., 2020)

Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training. - Chen Jin; Zhuangwei Shi; Han Zhang 017; Yanbin Yin (BIBM, 2021)

Adversarial Dual-Channel Variational Graph Autoencoder for Synthetic Lethality Prediction in Human Cancers. - Wei Li 184; Han Zhang 017; Qingqing Zhao; Jian Liu; Yanbin Yin (BIBM, 2021)

A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations. - Zhuangwei Shi; Han Zhang 017; Chen Jin; Xiongwen Quan; Yanbin Yin (BMC Bioinform., 2021)

dbCAN-PUL: a database of experimentally characterized CAZyme gene clusters and their substrates. - Catherine Ausland; Jinfang Zheng; Haidong Yi; Bowen Yang; Tang Li 002; Xuehuan Feng; Bo Zheng; Yanbin Yin (Nucleic Acids Res., 2021)

AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. - Le Huang; Bowen Yang; Haidong Yi; Amina Asif; Jiawei Wang 002; Trevor Lithgow; Han Zhang 017; Fayyaz ul Amir Afsar Minhas; Yanbin Yin (Nucleic Acids Res., 2021)

Mutual Information Estimation-Based Disentangled Representation Network for Medical Image Fusion. - Wanwan Huang; Han Zhang 017; Zeyuan Li; Yanbin Yin (BIBM, 2022)

LR-GNN: a graph neural network based on link representation for predicting molecular associations. - Chuanze Kang; Han Zhang 017; Zhuo Liu; Shenwei Huang; Yanbin Yin (Briefings Bioinform., 2022)

Critical assessment of pan-genomic analysis of metagenome-assembled genomes. - Tang Li 002; Yanbin Yin (Briefings Bioinform., 2022)

MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN. - Wei Li 184; Han Zhang 017; Minghe Li; Mingjing Han; Yanbin Yin (Briefings Bioinform., 2022)

HDMC: a novel deep learning-based framework for removing batch effects in single-cell RNA-seq data. - Xiao Wang; Jia Wang; Han Zhang 017; Shenwei Huang; Yanbin Yin (Bioinform., 2022)

Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction. - Mingjing Han; Yanbin Yin; Han Zhang 017; Huan Wang (BIBM, 2023)

Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection. - Xiongwen Quan; Mingjing Han; Xia Guo; Zeyuan Li; Han Zhang 017; Yanbin Yin (BIBM, 2023)

A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks. - Ved Piyush; Yuchen Yan; Yuzhen Zhou; Yanbin Yin; Souparno Ghosh (CoRR, 2023)

dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes. - Jinfang Zheng; Boyang Hu; Xinpeng Zhang; Qiwei Ge; Yuchen Yan; Jerry Akresi; Ved Piyush; Le Huang; Yanbin Yin (Nucleic Acids Res., 2023)

Genome mining for anti-CRISPR operons using machine learning. - Bowen Yang; Minal Khatri; Jinfang Zheng; Jitender S. Deogun; Yanbin Yin (Bioinform., 2023)

dbCAN3: automated carbohydrate-active enzyme and substrate annotation. - Jinfang Zheng; Qiwei Ge; Yuchen Yan; Xinpeng Zhang; Le Huang; Yanbin Yin (Nucleic Acids Res., 2023)

scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data. - Wei Li 184; Bin Xiang; Fan Yang 081; Yu Rong 001; Yanbin Yin; Jianhua Yao 001; Han Zhang 017 (Briefings Bioinform., 2023)

Semantic-guided graph neural network for heterogeneous graph embedding. - Mingjing Han; Han Zhang 017; Wei Li 184; Yanbin Yin (Expert Syst. Appl., 2023)

TMGE: a multi-view graph embedding model for prediction task of genes associated with neurodegenerative diseases. - Yuanxiang Jiang; Mingjing Han; Yanbin Yin; Han Zhang 017 (BIBM, 2024)

AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classification. - Minghe Li; Huike Guo; Keao Wang; Chuanze Kang; Yanbin Yin; Han Zhang 017 (Comput. Biol. Medicine, 2024)

BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework. - Xiangxin Zhan; Yanbin Yin; Han Zhang 017 (Bioinform., 2024)

A Dual-Modality Complex-Valued Fusion Method for Predicting Side Effects of Drug-Drug Interactions Based on Graph Neural Network. - Chuanze Kang; Han Zhang 017; Yanbin Yin (IEEE J. Biomed. Health Informatics, 2024)

Neuron based Personality Trait Induction in Large Language Models. - Jia Deng; Tianyi Tang; Yanbin Yin; Wenhao Yang; Xin Zhao 018; Ji-Rong Wen (ICLR, 2025)

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models. - Yanbin Yin; Kun Zhou; Zhen Wang 041; Zhaoxiang Zhang 001; Yifei Shao; Shibo Hao; Yi Gu 002; Jieyuan Liu; Somanshu Singla; Tianyang Liu 003; Eric P. Xing; Zhengzhong Liu 001; et al. (CoRR, 2025)