Duolin Wang

According to our database, Duolin Wang authored at least 26 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images.

Duolin Wang, Yadang Chen, Bushra Naz, Le Sun, Baozhu Li

Remote. Sens., July, 2023

MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels.

Yuexu Jiang, Lei Jiang, Chopparapu Sai Akhil, Duolin Wang, Ziyang Zhang, Weinan Zhang, Dong Xu

Nucleic Acids Res., July, 2023

Meta-learning for T cell receptor binding specificity and beyond.

Duolin Wang, Fei He, Yang Yu, Dong Xu

Nat. Mac. Intell., April, 2023

Global video object segmentation with spatial constraint module.

Yadang Chen, Duolin Wang, Zhiguo Chen, Zhi-Xin Yang, Enhua Wu

Comput. Vis. Media, 2023

Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action.

Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng

CoRR, 2023

2022

Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images.

Yadang Chen, Chenchen Wei, Duolin Wang, Chuanjun Ji, Baozhu Li

Remote. Sens., 2022

RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation.

Tianyu Cui, Yiying Dou, Puwen Tan, Zhen Ni, Tianyuan Liu, Duolin Wang, Yan Huang, Kaican Cai, Xiaoyang Zhao, Dong Xu, Hao Lin, Dong Wang

Nucleic Acids Res., 2022

Robust Anomaly Detection and Localization via Simulated Anomalies.

Yadang Chen, Mei Wang, Duolin Wang, Dichao Li

Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2022

Evaluating template-based and template-free protein-peptide complex structure prediction using AlphaFold2.

Negin Manshour, Yang Yu, Wenyuan Qin, Fei He, Duolin Wang, Dong Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers.

Shuai Zeng, Ziting Mao, Yijie Ren, Duolin Wang, Dong Xu, Trupti Joshi

Nucleic Acids Res., 2021

2020

MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization.

Duolin Wang, Dongpeng Liu, Jiakang Yuchi, Fei He, Yuexu Jiang, Siteng Cai, Jingyi Li, Dong Xu

Nucleic Acids Res., 2020

A dynamic programing approach to integrate gene expression data and network information for pathway model generation.

Yuexu Jiang, Yanchun Liang, Duolin Wang, Dong Xu, Trupti Joshi

Bioinform., 2020

2019

Detection of Malfunctioning Smart Electricity Meter.

Ming Liu, Dongpeng Liu, Guangyu Sun, Yi Zhao, Duolin Wang, Fangxing Liu, Xiang Fang, Qing He, Dong Xu

CoRR, 2019

Capsule network for protein post-translational modification site prediction.

Duolin Wang, Yanchun Liang, Dong Xu

Bioinform., 2019

DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional.

Yuexu Jiang, Duolin Wang, Dong Xu

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Extracting Molecular Entities and Their Interactions from Pathway Figures Based on Deep Learning.

Fei He, Duolin Wang, Yulia Innokenteva, Olha Kholod, Dmitriy Shin, Dong Xu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Protein Ubiquitylation and Sumoylation Site Prediction Based on Ensemble and Transfer Learning.

Fei He, Rui Wang, Yanxin Gao, Duolin Wang, Yang Yu, Dong Xu, Xiaowei Zhao

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Capsule Network for Predicting Zinc Binding Sites in Metalloproteins.

Clement Essien, Duolin Wang, Dong Xu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

An Informatics Framework for Knowledge Representation and Reconciliation of Disease Pathways.

Yulia Innokenteva, Olha Kholod, Fei He, Duolin Wang, Richard D. Hammer, Dong Xu, Dmitriy Shin

Proceedings of the AMIA 2019, 2019

2018

Integrating Gene Expression Data and Pathway Knowledge for In Silico Hypothesis Generation with IMPRes.

Yuexu Jiang, Duolin Wang, Dong Xu, Trupti Joshi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.

Duolin Wang, Shuai Zeng, Chunhui Xu, Wangren Qiu, Yanchun Liang, Trupti Joshi, Dong Xu

Bioinform., 2017

MusiteDeep: A deep-learning framework for protein post-translational modification site prediction.

Duolin Wang, Dongpeng Liu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A deep-learning framework for amidation site prediction.

Penghui Shang, Duolin Wang, Dongpeng Liu, Dong Xu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Application of deep learning in genomic selection.

Yang Liu, Duolin Wang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

IMPRes: Integrative MultiOmics pathway resolution algorithm and tool.

Yuexu Jiang, Yanchun Liang, Duolin Wang, Dong Xu, Trupti Joshi

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

RDF Sketch Maps - Knowledge Complexity Reduction for Precision Medicine Analytics.

Nattaphon Thanintorn, Juexin Wang, Ilker Ersoy, Zainab Al-Taie, Yuexu Jiang, Duolin Wang, Megha Verma, Trupti Joshi, Richard D. Hammer, Dong Xu, Dmitriy Shin

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016