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Ying Li 0004
Person information
- affiliation: Jilin University, College of Computer Science and Technology, China
Other persons with the same name
- Ying Li — disambiguation page
- Ying Li 0001
— Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Ying Li 0002
— Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Ying Li 0003
— Liaocheng University, College of Mathematical Sciences, Shandong, China
- Ying Li 0005
— Sichuan University, Business School, Chengdu, China
- Ying Li 0006
— Harvard University, Molecular and Cellular Department, Cambridge, MA, USA (and 1 more)
- Ying Li 0007
— Colby College, Department of Computer Science, Waterville, ME, USA (and 1 more)
- Ying Li 0008
— Texas A&M University, Mays Business School, College Station, TX, USA
- Ying Li 0009 — University of California, Los Angeles, USA
- Ying Li 0010 — Georgia Institute of Technology, Atlanta, GA, USA
- Ying Li 0011 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Ying Li 0012
— Peking University, School of Software and Microelectronics, Beijing, China (and 2 more)
- Ying Li 0013 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China (and 1 more)
- Ying Li 0014
— Qingdao University, College of Computer Science and Technology, China (and 1 more)
- Ying Li 0016
— Nanjing Normal University, China (and 1 more)
- Ying Li 0017
— Northwestern Polytechnical University, School of Computer Science and Engineering, Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), Xi'an, China (and 1 more)
- Ying Li 0018 — Princeton University, Department of Electrical Engineering, NJ, USA
- Ying Li 0019
— Xi'an University of Technology, School of Automation and Information Engineering, China
- Ying Li 0020
— Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Ying Li 0021
— Sun Yat-sen University, Business School, Guangzhou, China
- Ying Li 0022
— Changshu Institute of Technology, School of Automotive Engineering, Suzhou, China
- Ying Li 0023
— Dalian University of Technology, School of Economics and Management, China (and 2 more)
- Ying Li 0024
— Chang'an University, School of Information Engineering, Xi'an, China (and 1 more)
- Ying Li 0025
— Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Ying Li 0026
— University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Ying Li 0027
— Shandong University, School of Management, Jinan, China (and 1 more)
- Ying Li 0028
— Shanghai University, School of Computer Engineering and Science, China (and 1 more)
- Ying Li 0029
— Linköping University, Sweden (and 1 more)
- Ying Li 0030
— Yanshan University, School of Mechanical Engineering, Qinhuangdao, China (and 1 more)
- Ying Li 0031
— Harbin Engineering University, College of Underwater Acoustic Engineering, China
- Ying Li 0032
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Ying Li 0033
— Changsha University of Science and Technology, School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, China
- Ying Li 0034
— Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, China (and 1 more)
- Ying Li 0035 — University of Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Ying Li 0036
— Beijing Institute of Technology, School of Mechanical Engineering, China (and 1 more)
- Ying Li 0037
— Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Ying Li 0038 — Yantai University, Yantai, China
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2020 – today
- 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) - [j21]Na Lei
, Zezeng Li
, Zebin Xu
, Ying Li
, Xianfeng Gu
:
What's the Situation With Intelligent Mesh Generation: A Survey and Perspectives. IEEE Trans. Vis. Comput. Graph. 30(8): 4997-5017 (2024) - 2023
- [j20]Xianhe Wang
, Ying Li, Qian Qiao, Adriano Tavares, Yanchun Liang
:
Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods. Entropy 25(8): 1186 (2023) - [j19]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) - [j18]Ying Li
, Hang Sun, Wensi Fang, Qin Ma
, Siyu Han
, Rui Wang-Sattler
, Wei Du
, Qiong Yu
:
SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning. Inf. Sci. 629: 299-312 (2023) - 2022
- [j17]Siyu Han, Jialing Huang, Francesco Foppiano, Cornelia Prehn
, Jerzy Adamski, Karsten Suhre, Ying Li, Giuseppe Matullo
, Freimut Schliess, Christian Gieger, Annette Peters, Rui Wang-Sattler
:
TIGER: technical variation elimination for metabolomics data using ensemble learning architecture. Briefings Bioinform. 23(2) (2022) - [j16]Siyu Han, Xiao Yang, Hang Sun, Hu Yang, Qi Zhang
, Cheng Peng, Wensi Fang, Ying Li:
LION: an integrated R package for effective prediction of ncRNA-protein interaction. Briefings Bioinform. 23(6) (2022) - [j15]Ying Li, Lizheng Wei, Cankun Wang
, Jianing Zhao, Siyu Han, Yu Zhang, Wei Du
:
LPInsider: a webserver for lncRNA-protein interaction extraction from the literature. BMC Bioinform. 23(1): 135 (2022) - [j14]Ying Li, Linlin Li, Yijun Liu, Qianqian Li:
MAHE-IM: Multiple Aggregation of Heterogeneous Relation Embedding for Influence Maximization on Heterogeneous Information Network. Expert Syst. Appl. 202: 117289 (2022) - [j13]Wenju Hou
, Ying Li, Yijun Liu, Qianqian Li:
Leveraging multidimensional features for policy opinion sentiment prediction. Inf. Sci. 610: 215-234 (2022) - [c3]Xv Zhang
, Yuanbo Xu
, Ying Li
, Yongjian Yang
:
Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks. APWeb/WAIM (3) 2022: 420-434 - [i1]Zezeng Li, Zebin Xu, Ying Li, Xianfeng Gu, Na Lei:
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives. CoRR abs/2211.06009 (2022) - 2021
- [j12]Ying Li, Qi Zhang
, Zhaoqian Liu, Cankun Wang
, Siyu Han, Qin Ma
, Wei Du:
Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations. Briefings Bioinform. 22(4) (2021) - [j11]Ying Li, Hang Sun, Shiyao Feng, Qi Zhang
, Siyu Han, Wei Du
:
Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network. BMC Bioinform. 22(1): 246 (2021) - [j10]Wei Du, Yu Sun, Hui-Min Bao, Liang Chen
, Ying Li, Yanchun Liang:
DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning. J. Comput. Sci. Technol. 36(2): 234-247 (2021) - [j9]Cheng Peng, Xinyu Wu, Wen Yuan, Xinran Zhang, Yu Zhang, Ying Li
:
MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic Algorithm for Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 621-632 (2021) - 2020
- [j8]Wei Du, Ran Pang
, Gaoyang Li
, Huansheng Cao
, Ying Li, Yanchun Liang
:
DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning. IEEE Access 8: 100251-100261 (2020) - [j7]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)
2010 – 2019
- 2019
- [j6]Siyu Han, Yanchun Liang, Qin Ma
, Yangyi Xu, Yu Zhang, Wei Du, Cankun Wang
, Ying Li
:
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) - [j5]Di Ding, Siyu Han, Hui Zhang, Ye He, Ying Li:
Predictive biomarkers of colorectal cancer. Comput. Biol. Chem. 83 (2019) - [j4]Ying Li
, Ye He, Siyu Han, Yanchun Liang:
Identification and Functional Inference for Tumor-Associated Long Non-Coding RNA. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1288-1301 (2019) - 2017
- [j3]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) - [j2]Ying Li
, Xiaohu Shi, Yanchun Liang, Juan Xie, Yu Zhang, Qin Ma
:
RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation. BMC Bioinform. 18(1): 51:1-51:11 (2017) - 2012
- [j1]Ying Li, Ming Duan, Yanchun Liang:
Multi-scale RNA comparison based on RNA triple vector curve representation. BMC Bioinform. 13: 280 (2012)
2000 – 2009
Coauthor Index
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last updated on 2024-08-27 21:58 CEST by the dblp team
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