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Jia Qu
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2020 – today
- 2024
- [j28]Shuangbao Song, Cheng Tang, Zhenyu Song, Jia Qu, Xingqian Chen:
Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein-ligand docking. Appl. Soft Comput. 161: 111732 (2024) - [j27]Yinghao Yao, Jiaying Yang, Haojun Sun, Hengte Kong, Sheng Wang, Ke Xu, Wei Dai, Siyi Jiang, Qingshi Bai, Shilai Xing, Jian Yuan, Xinting Liu, Fan Lu, Zhenhui Chen, Jia Qu, Jianzhong Su:
DeepGraFT: A novel semantic segmentation auxiliary ROI-based deep learning framework for effective fundus tessellation classification. Comput. Biol. Medicine 169: 107881 (2024) - [j26]Haolin Wang, Dongwei Gui, Qi Liu, Xinlong Feng, Jia Qu, Jianping Zhao, Guangyan Wang, Guanghui Wei:
Vegetation coverage precisely extracting and driving factors analysis in drylands. Ecol. Informatics 79: 102409 (2024) - [j25]Zekang Bian, Jia Qu, Jie Zhou, Zhibin Jiang, Shitong Wang:
Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix. Inf. Fusion 103: 102099 (2024) - [j24]Kang Zhang, Hong-Yu Zhou, Daniel T. Baptista-Hon, Yuanxu Gao, Xiaohong Liu, Eric K. Oermann, Sheng Xu, Shengwei Jin, Jian Zhang, Zhuo Sun, Yun Yin, Ronald M. Razmi, Alexandre Loupy, Stephan Beck, Jia Qu, Joseph Wu:
Concepts and applications of digital twins in healthcare and medicine. Patterns 5(8): 101028 (2024) - [j23]Jia Qu, Shuting Liu, Han Li, Jie Zhou, Zekang Bian, Zihao Song, Zhibin Jiang:
Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction. PeerJ Comput. Sci. 10: e2070 (2024) - [c12]Jia Qu, Shun Otsubo, Tomoya Yamanokuchi, Takamitsu Matsubara, Shotaro Miwa:
Domain Randomization-free Sim-to-Real : An Attention-Augmented Memory Approach for Robotic Tasks. IROS 2024: 5056-5063 - 2023
- [j22]Han Li, Zhen-jie Hou, Wen-guang Zhang, Jia Qu, Hai-bin Yao, Yan Chen:
Prediction of potential drug-microbe associations based on matrix factorization and a three-layer heterogeneous network. Comput. Biol. Chem. 104: 107857 (2023) - [j21]Ying Li, Jia Qu:
Evaluation on technical status of concrete cable-stayed bridge based on improved FAHP. J. Comput. Methods Sci. Eng. 23(5): 2687-2697 (2023) - [j20]Jia Qu:
Research on Environment Monitoring of Network Computer Rooms in Colleges and Universities Based on The Internet of Things Technology. Wirel. Pers. Commun. 128(4): 2453-2472 (2023) - 2022
- [j19]Siqi Bao, Ke Li, Congcong Yan, Zicheng Zhang, Jia Qu, Meng Zhou:
Deep learning-based advances and applications for single-cell RNA-sequencing data analysis. Briefings Bioinform. 23(1) (2022) - [j18]Jia Qu:
Research on Password Detection Technology of IoT Equipment Based on Wide Area Network. ICT Express 8(2): 213-219 (2022) - [j17]Jia Qu:
Blockchain in medical informatics. J. Ind. Inf. Integr. 25: 100258 (2022) - [j16]Xiaoqing Gu, Zongxuan Shen, Jia Qu, Tongguang Ni:
Cross-domain EEG signal classification via geometric preserving transfer discriminative dictionary learning. Multim. Tools Appl. 81(29): 41733-41750 (2022) - [j15]Shuai Su, Jia Qu, Yuan Cao, Ruoqing Li, Guang Wang:
Adversarial Training Lattice LSTM for Named Entity Recognition of Rail Fault Texts. IEEE Trans. Intell. Transp. Syst. 23(11): 21201-21215 (2022) - [j14]Tongguang Ni, Jiaqun Zhu, Jia Qu, Jing Xue:
Labeling Privacy Protection SVM Using Privileged Information for COVID-19 Diagnosis. ACM Trans. Internet Techn. 22(3): 65:1-65:21 (2022) - [c11]Jia Qu, Shotaro Miwa, Yukiyasu Domae:
Interpretable Navigation Agents Using Attention-Augmented Memory. SMC 2022: 2575-2582 - [c10]Jia Qu, Shotaro Miwa, Yukiyasu Domae:
Learning Landmark-Oriented Subgoals for Visual Navigation Using Trajectory Memory. SSCI 2022: 708-714 - [i1]Cheng Ge, Yi Lu, Jia Qu, Liangxu Xie, Feng Wang, Hong Zhang, Ren Kong, Shan Chang:
DePS: An improved deep learning model for de novo peptide sequencing. CoRR abs/2203.08820 (2022) - 2021
- [j13]Tao Xu, Jingu Wang, Bingjie Hu, Guosi Zhang, Wu Zhou, Meiqin Zheng, Bo Shen, Baochang Sun, Yanjun Zhang, Yin Chen, Jian Yu, Min Liang, Jingye Pan, Chengshui Chen, Haixiao Chen, Minghua Jiang, Liangde Xu, Jia Qu, Jiang-Fan Chen:
Identification of the RNase-binding site of SARS-CoV-2 RNA for anchor primer-PCR detection of viral loading in 306 COVID-19 patients. Briefings Bioinform. 22(2): 1215-1224 (2021) - [j12]Ping Hou, Siqi Bao, Dandan Fan, Congcong Yan, Jianzhong Su, Jia Qu, Meng Zhou:
Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma. Briefings Bioinform. 22(4) (2021) - [j11]Hong Wang, Jing Li, Siyu Wang, Xiaoyan Lu, Guosi Zhang, Youyuan Zhuang, Liansheng Li, Wencan Wang, Peng Lin, Chong Chen, Hao Wang, Qi Chen, Yongshuai Jiang, Jia Qu, Liangde Xu:
Contribution of structural accessibility to the cooperative relationship of TF-lncRNA in myopia. Briefings Bioinform. 22(5) (2021) - [j10]Jia Qu:
Research on mobile learning in a teaching information service system based on a big data driven environment. Educ. Inf. Technol. 26(5): 6183-6201 (2021) - [c9]Jia Qu, Lei Wang, Kun Zhang, Weihua Guo:
WEB-Based Computer Aided Innovation Design. AIAM (ACM) 2021: 844-853 - [c8]Jia Qu, Shuai Su, Ruoqing Li, Guang Wang:
Adversarial training for named entity recognition of rail fault text. ITSC 2021: 1353-1358 - [c7]Ruoqing Li, Shuai Su, Guang Wang, Jia Qu, Yuan Cao:
Rail transit fault text classification based on the latent dirichlet allocation. ITSC 2021: 1359-1364 - 2020
- [j9]Xing Chen, Na-Na Guan, Ya-Zhou Sun, Jian-Qiang Li, Jia Qu:
MicroRNA-small molecule association identification: from experimental results to computational models. Briefings Bioinform. 21(1): 47-61 (2020)
2010 – 2019
- 2019
- [j8]Chun-Chun Wang, Xing Chen, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li:
RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. J. Chem. Inf. Model. 59(4): 1668-1679 (2019) - [j7]Jia Qu, Xing Chen, Jun Yin, Yan Zhao, Zheng-Wei Li:
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation. Knowl. Based Syst. 186 (2019) - [c6]Jia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi:
Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning Scheme. BIOIMAGING 2019: 92-99 - [c5]Jia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi:
Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks. BIOSTEC (Selected Papers) 2019: 105-119 - 2018
- [j6]Xing Chen, Lei Wang, Jia Qu, Na-Na Guan, Jian-Qiang Li:
Predicting miRNA-disease association based on inductive matrix completion. Bioinform. 34(24): 4256-4265 (2018) - [j5]Jia Qu, Xing Chen, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming:
Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. J. Cheminformatics 10(1): 30:1-30:14 (2018) - [j4]Jia Qu, Zenglin Shi, Yangdong Ye:
基于卷积特征的非平衡人群密度估计方法 (Unbalanced Crowd Density Estimation Based on Convolutional Features). 计算机科学 45(8): 236-241 (2018) - [j3]Xing Chen, Jun Yin, Jia Qu, Li Huang:
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS Comput. Biol. 14(8) (2018) - [c4]Jia Qu, Can Huang:
The Influence of Short Text Ad. on Consumer Purchase Intention: An Empirical Study. HCI (20) 2018: 693-702 - 2017
- [c3]Min Zhu, Jia Qu, Ruxue Chen, Xinzhi Wang, Quanyi Huang, Shaobo Zhong:
An Ontology-based Approach to Semantic Health Resource Knowledge Base Development for Crisis Preparation Decision Support System. SEKE 2017: 398-403 - 2016
- [c2]Jia Qu, Jing Zhang:
Validating Mobile Designs with Agile Testing in China: Based on Baidu Map for Mobile. HCI (16) 2016: 491-498 - 2014
- [j2]Xia Ran, Wei-Jun Cai, Xiu-Feng Huang, Qi Liu, Fan Lu, Jia Qu, Jinyu Wu, Zi-Bing Jin:
'RetinoGenetics': a comprehensive mutation database for genes related to inherited retinal degeneration. Database J. Biol. Databases Curation 2014 (2014) - [j1]Xia Ran, Wei-Jun Cai, Xiu-Feng Huang, Qi Liu, Fan Lu, Jia Qu, Jinyu Wu, Zi-Bing Jin:
'RetinoGenetics': a comprehensive mutation database for genes related to inherited retinal degeneration. Database J. Biol. Databases Curation 2014 (2014) - [c1]Jia Qu, Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Kensuke Terai, Nobuyuki Hiruta:
Computational cancer detection of pathological images based on an optimization method for color-index local auto-correlation feature extraction. ISBI 2014: 822-825
Coauthor Index
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