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Wei Du 0002
Person information
- affiliation: Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic, Computation and Knowledge, Changchun, China
- affiliation: University of Georgia, Department of Biochemistry and Molecular Biology / Institute of Bioinformatics, Athens, GA, USA
Other persons with the same name
- Wei Du — disambiguation page
- Wei Du 0001 — Wuhan University of Technology, College of Computer Science and Technology, China (and 3 more)
- Wei Du 0003
— East China University of Science and Technology, MOE Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China (and 1 more)
- Wei Du 0004
- Wei Du 0005
- Wei Du 0006 — University of Liège, Montefiore Institute, Department of Electrical Engineering and Computer Science, Belgium
- Wei Du 0007
- Wei Du 0008
- Wei Du 0009
- Wei Du 0010
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2020 – today
- 2025
- [j23]Hongmin Sun, Ao Kan, Jianhao Liu, Wei Du:
HG-search: multi-stage search for heterogeneous graph neural networks. Appl. Intell. 55(1): 6 (2025) - 2024
- [j22]Wei Du, Yongkang Huo, Rixin Zhou, Yu Sun, Shiyi Tang, Xuan Zhao, Ying Li, Gaoyang Li:
Consistency label-activated region generating network for weakly supervised medical image segmentation. Comput. Biol. Medicine 173: 108380 (2024) - [i1]Yubin Xiao, Di Wang, Xuan Wu, Yuesong Wu, Boyang Li, Wei Du, Liupu Wang, You Zhou:
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture. CoRR abs/2406.06652 (2024) - 2023
- [j21]Ying Li, Wensi Fang, Hang Sun, Xiangyu Liu, Wei Du, Yijun Liu, Qianqian Li
PecidRL: Petition expectation correction and identification based on deep reinforcement learning. Inf. Process. Manag. 60(3): 103285 (2023) - [j20]Ying Li
SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning. Inf. Sci. 629: 299-312 (2023) - 2022
- [j19]Ying Li, Lizheng Wei, Cankun Wang
LPInsider: a webserver for lncRNA-protein interaction extraction from the literature. BMC Bioinform. 23(1): 135 (2022) - 2021
- [j18]Wei Du
CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms. Briefings Bioinform. 22(4) (2021) - [j17]Ying Li, Qi Zhang
Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations. Briefings Bioinform. 22(4) (2021) - [j16]Dan Shao
HBFP: a new repository for human body fluid proteome. Database J. Biol. Databases Curation 2021 (2021) - [j15]Ying Li, Hang Sun, Shiyao Feng, Qi Zhang
Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network. BMC Bioinform. 22(1): 246 (2021) - [j14]Wei Du, Yu Sun, Hui-Min Bao, Liang Chen
DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning. J. Comput. Sci. Technol. 36(2): 234-247 (2021) - [c12]Hailong Jin, Wei Du, Jiawei Gu, Tianhao Zhang, Xiaohu Shi:
Combining GCN and Bi-LSTM for Protein Secondary Structure Prediction. BIBM 2021: 44-49 - 2020
- [j13]Wei Du, Ran Pang
DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning. IEEE Access 8: 100251-100261 (2020) - [j12]Wei Du, Yu Sun, Gaoyang Li, Huansheng Cao, Ran Pang, Ying Li:
CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins. BMC Bioinform. 21(1): 237 (2020) - [j11]Zhongbo Cao, Wei Du
DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins. J. Bioinform. Comput. Biol. 18(3): 2050017:1-2050017:17 (2020)
2010 – 2019
- 2019
- [j10]Siyu Han, Yanchun Liang, Qin Ma
LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property. Briefings Bioinform. 20(6): 2009-2027 (2019) - 2017
- [j9]Wei Du, Zhongbo Cao, Tianci Song, Ying Li, Yanchun Liang:
A feature selection method based on multiple kernel learning with expression profiles of different types. BioData Min. 10(1): 4:1-4:16 (2017) - [j8]Tianci Song, Yan Wang, Wei Du
The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning. J. Bioinform. Comput. Biol. 15(1): 1650037:1-1650037:21 (2017) - [c11]Yidan Lv, Yan Wang, Yongfei Tan, Wei Du, Keke Liu, Hao Wang:
Pancreatic cancer biomarker detection using recursive feature elimination based on Support Vector Machine and large margin distribution machine. ICSAI 2017: 1450-1455 - 2016
- [c10]Yan Wang, Wei Du, Yanchun Liang, Xin Chen, Chi Zhang
PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins. ADMA 2016: 714-725 - 2015
- [j7]Wei Du, Zhongbo Cao, Yan Wang, Fengfeng Zhou
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data. Cogn. Comput. 7(6): 652-666 (2015) - [j6]Zhongbo Cao, Yan Wang, Ying Sun, Wei Du, Yanchun Liang:
A novel filter feature selection method for paired microarray expression data analysis. Int. J. Data Min. Bioinform. 12(4): 363-386 (2015) - 2014
- [j5]Wei Du, Zhongbo Cao, Yan Wang, Enrico Blanzieri
Operon prediction by Markov clustering. Int. J. Data Min. Bioinform. 9(4): 424-443 (2014) - [c9]Ying Sun, Chunguang Zhou, Jiaxin Wang, Zhongbo Cao, Wei Du, Yan Wang:
Computational Prediction of Human Saliva-Secreted Proteins. ISBRA 2014: 92-101 - 2013
- [j4]Xiuli Sun, Boquan Dong, Lingjie Yin, Rongzhi Zhang, Wei Du, Dongfeng Liu
PMTED: a plant microRNA target expression database. BMC Bioinform. 14: 174 (2013) - [j3]Wei Du, Ying Sun, Yan Wang, Zhongbo Cao, Chen Zhang, Yanchun Liang:
A novel multi-stage feature selection method for microarray expression data analysis. Int. J. Data Min. Bioinform. 7(1): 58-77 (2013) - [c8]Zhongbo Cao, Yan Wang, Ying Sun, Wei Du, Yanchun Liang:
Effective and stable feature selection method based on filter for gene signature identification in paired microarray data. BIBM 2013: 189-192 - 2010
- [c7]Weiliang Guo, Jia Song, Jiahui Lu, Lirong Teng, Yan Wang, Wei Du:
Two modeling methods for near infrared spectroscopy nondestructive quantitative analysis of the protein contents in Coredyceps militaris mycelia powder. ICNC 2010: 4385-4389
2000 – 2009
- 2009
- [j2]Chen Zhang, Chunguo Wu, Enrico Blanzieri
Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model. Bioinform. 25(20): 2708-2714 (2009) - [c6]Yan Wang, Juexin Wang, Wei Du, Chen Zhang, Yu Zhang, Chunguang Zhou:
Parameters optimization of support vector regression based on immune particle swarm optimization algorithm. GEC Summit 2009: 997-1000 - [c5]Yan Wang, Juexin Wang, Wei Du, Chuncai Wang, Yanchun Liang, Chunguang Zhou, Lan Huang:
Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction. ISNN (2) 2009: 382-390 - 2008
- [c4]Ying Sun, Yan Wang, Juexin Wang, Wei Du, Chunguang Zhou:
A Novel SVC Method Based on K-means. FGCN (3: BSBT) 2008: 55-58 - [c3]Xiumei Wang, Wei Du, Yan Wang, Chen Zhang, Chunguang Zhou, Shuqin Wang, Yanchun Liang:
The Application of Support Vector Machine to Operon Prediction. FGCN (3: BSBT) 2008: 59-62 - 2007
- [j1]Shuqin Wang, Yan Wang, Wei Du, Fangxun Sun, Xiumei Wang, Chunguang Zhou, Yanchun Liang:
A multi-approaches-guided genetic algorithm with application to operon prediction. Artif. Intell. Medicine 41(2): 151-159 (2007) - [c2]Shuqin Wang, Yan Wang, Wei Du, Fangxun Sun, Xiumei Wang, Yanchun Liang, Chunguang Zhou:
A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon. ICANNGA (1) 2007: 296-305 - [c1]Wei Du, Yan Wang, Shuqin Wang, Xiumei Wang, Fangxun Sun, Chen Zhang, Chunguang Zhou, Chengquan Hu, Yanchun Liang:
Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods. ISNN (1) 2007: 652-657
Coauthor Index
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last updated on 2024-12-10 20:45 CET by the dblp team
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