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Duolin Wang
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2020 – today
- 2024
- [j12]Yadang Chen, Gang Yang, Duolin Wang, Dichao Li:
Eliciting knowledge from language models with automatically generated continuous prompts. Expert Syst. Appl. 239: 122327 (2024) - [c15]Shuai Zeng, Duolin Wang, Lei Jiang, Dong Xu:
Prompt-Based Learning on Large Protein Language Models Improves Signal Peptide Prediction. RECOMB 2024: 400-405 - 2023
- [j11]Yadang Chen, Duolin Wang, Zhiguo Chen, Zhi-Xin Yang, Enhua Wu:
Global video object segmentation with spatial constraint module. Comput. Vis. Media 9(2): 385-400 (2023) - [j10]Yuexu Jiang, Lei Jiang, Chopparapu Sai Akhil, Duolin Wang, Ziyang Zhang, Weinan Zhang, Dong Xu:
MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels. Nucleic Acids Res. 51(W1): 343-349 (2023) - [j9]Duolin Wang, Fei He, Yang Yu, Dong Xu:
Meta-learning for T cell receptor binding specificity and beyond. Nat. Mac. Intell. 5(4): 337-339 (2023) - [j8]Duolin Wang, Yadang Chen, Bushra Naz, Le Sun, Baozhu Li:
Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images. Remote. Sens. 15(14): 3607 (2023) - [i2]Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng:
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action. CoRR abs/2302.10907 (2023) - 2022
- [j7]Tianyu Cui, Yiying Dou, Puwen Tan, Zhen Ni, Tianyuan Liu, Duolin Wang, Yan Huang, Kaican Cai, Xiaoyang Zhao, Dong Xu, Hao Lin, Dong Wang:
RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation. Nucleic Acids Res. 50(D1): 333-339 (2022) - [j6]Yadang Chen, Chenchen Wei, Duolin Wang, Chuanjun Ji, Baozhu Li:
Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images. Remote. Sens. 14(17): 4254 (2022) - [c14]Negin Manshour, Yang Yu, Wenyuan Qin, Fei He, Duolin Wang, Dong Xu:
Evaluating template-based and template-free protein-peptide complex structure prediction using AlphaFold2. BIBM 2022: 3856 - [c13]Yadang Chen, Mei Wang, Duolin Wang, Dichao Li:
Robust Anomaly Detection and Localization via Simulated Anomalies. VRCAI 2022: 4:1-4:8 - 2021
- [j5]Shuai Zeng, Ziting Mao, Yijie Ren, Duolin Wang, Dong Xu, Trupti Joshi:
G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers. Nucleic Acids Res. 49(Webserver-Issue): 228-236 (2021) - 2020
- [j4]Yuexu Jiang, Yanchun Liang, Duolin Wang, Dong Xu, Trupti Joshi:
A dynamic programing approach to integrate gene expression data and network information for pathway model generation. Bioinform. 36(1): 169-176 (2020) - [j3]Duolin Wang, Dongpeng Liu, Jiakang Yuchi, Fei He, Yuexu Jiang, Siteng Cai, Jingyi Li, Dong Xu:
MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization. Nucleic Acids Res. 48(Webserver-Issue): W140-W146 (2020)
2010 – 2019
- 2019
- [j2]Duolin Wang, Yanchun Liang, Dong Xu:
Capsule network for protein post-translational modification site prediction. Bioinform. 35(14): 2386-2394 (2019) - [c12]Yulia Innokenteva, Olha Kholod, Fei He, Duolin Wang, Richard D. Hammer, Dong Xu, Dmitriy Shin:
An Informatics Framework for Knowledge Representation and Reconciliation of Disease Pathways. AMIA 2019 - [c11]Fei He, Duolin Wang, Yulia Innokenteva, Olha Kholod, Dmitriy Shin, Dong Xu:
Extracting Molecular Entities and Their Interactions from Pathway Figures Based on Deep Learning. BCB 2019: 397-404 - [c10]Fei He, Rui Wang, Yanxin Gao, Duolin Wang, Yang Yu, Dong Xu, Xiaowei Zhao:
Protein Ubiquitylation and Sumoylation Site Prediction Based on Ensemble and Transfer Learning. BIBM 2019: 117-123 - [c9]Fei He, Duolin Wang, Yulia Innokenteva, Olha Kholod, Dmitriy Shin, Dong Xu:
Extracting Molecular Entities and Their Interactions from Pathway Figures Based on Deep Learning. BIBM 2019: 1191-1193 - [c8]Clement Essien, Duolin Wang, Dong Xu:
Capsule Network for Predicting Zinc Binding Sites in Metalloproteins. BIBM 2019: 2337-2341 - [c7]Yuexu Jiang, Duolin Wang, Dong Xu:
DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional. PSB 2019: 66-75 - [i1]Ming Liu, Dongpeng Liu, Guangyu Sun, Yi Zhao, Duolin Wang, Fangxing Liu, Xiang Fang, Qing He, Dong Xu:
Detection of Malfunctioning Smart Electricity Meter. CoRR abs/1907.11377 (2019) - 2018
- [c6]Yuexu Jiang, Duolin Wang, Dong Xu, Trupti Joshi:
Integrating Gene Expression Data and Pathway Knowledge for In Silico Hypothesis Generation with IMPRes. BIBM 2018: 102-107 - 2017
- [j1]Duolin Wang, Shuai Zeng, Chunhui Xu, Wangren Qiu, Yanchun Liang, Trupti Joshi, Dong Xu:
MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction. Bioinform. 33(24): 3909-3916 (2017) - [c5]Yuexu Jiang, Yanchun Liang, Duolin Wang, Dong Xu, Trupti Joshi:
IMPRes: Integrative MultiOmics pathway resolution algorithm and tool. BIBM 2017: 2260 - [c4]Yang Liu, Duolin Wang:
Application of deep learning in genomic selection. BIBM 2017: 2280 - [c3]Penghui Shang, Duolin Wang, Dongpeng Liu, Dong Xu:
A deep-learning framework for amidation site prediction. BIBM 2017: 2302 - [c2]Duolin Wang, Dongpeng Liu:
MusiteDeep: A deep-learning framework for protein post-translational modification site prediction. BIBM 2017: 2327 - 2016
- [c1]Nattaphon Thanintorn, Juexin Wang, Ilker Ersoy, Zainab Al-Taie, Yuexu Jiang, Duolin Wang, Megha Verma, Trupti Joshi, Richard D. Hammer, Dong Xu, Dmitriy Shin:
RDF Sketch Maps - Knowledge Complexity Reduction for Precision Medicine Analytics. PSB 2016: 417-428
Coauthor Index
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last updated on 2024-08-05 21:11 CEST by the dblp team
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