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Yang Yang 0030
Person information
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai, China
- affiliation (2012 - 2013): University of California at Riverside, CA, USA
- affiliation (2009 - 2013): Shanghai Maritime University, Department of Computer Science and Engineering, Shanghai, China
- affiliation (PhD 2009): Shanghai Jiao Tong University, China
Other persons with the same name
- Yang Yang — disambiguation page
- Yang Yang 0001
— Peng Cheng Laboratory, China (and 6 more)
- Yang Yang 0002
— University of Electronic Science and Technology of China, Center for Future Media, Chengdu, China (and 2 more)
- Yang Yang 0003 — Texas A&M University, College Station, TX, USA
- Yang Yang 0004 — University of Science and Technology Beijing, Beijing, China
- Yang Yang 0005
— Southwest Jiaotong University, Department of Mathematics, Chengdu, China
- Yang Yang 0006
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yang Yang 0007
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Center for Data Science, Beijing, China (and 2 more)
- Yang Yang 0008
— University of Notre Dame, Mendoza College of Business, Notre Dame, IN, USA (and 3 more)
- Yang Yang 0009
— Zhejiang University, Department of Computer Science and Technology, Hangzhou, China (and 2 more)
- Yang Yang 0010
— Qualcomm Technologies, Inc., AI Research, San Diego, CA, USA (and 1 more)
- Yang Yang 0011 — Bloomberg LP, New York City, NY, USA (and 2 more)
- Yang Yang 0012 — PharmCube (and 2 more)
- Yang Yang 0013 — Zhejiang University City College, Hangzhou, China
- Yang Yang 0014
— Michigan Technological University, Department of Mathematical Science, Houghton, MI, USA (and 1 more)
- Yang Yang 0015
— Northwestern University, Simpson Querrey Institute, Evanston, IL, USA (and 1 more)
- Yang Yang 0016 — McMaster University, Hamilton, Canada
- Yang Yang 0017
— Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Yang Yang 0018
— Western Michigan University, Department of Mechanical and Aerospace Engineering, Kalamazoo, MI, USA
- Yang Yang 0019
— Dow Chemical Co., Midland, MI, USA (and 1 more)
- Yang Yang 0020
— Chinese Academy of Sciences, Institute of Plasma Physics, Hefei, Anhui, China
- Yang Yang 0021
— Nanjing Audit University, Nanjing, China
- Yang Yang 0022
— Zhongnan University of Economics and Law, School of Information and Security Engineering, Wuhan, China (and 1 more)
- Yang Yang 0023
— Shandong University, School of Information Science and Engineering, Jinan, China
- Yang Yang 0024
— Southeast University, School of Electrical Engineering, Nanjing, China
- Yang Yang 0025 — Realsil Microelectronics, Suzhou, China (and 1 more)
- Yang Yang 0026
— Fuzhou University, College of Mathematics and Computer Science, China (and 2 more)
- Yang Yang 0028 — Hebei University, College of Management, Baoding, China
- Yang Yang 0029 — Tongji University, School of Electronics and Information Engineering, Broadband Wireless Communication and Multimedia Laboratory, Shanghai, China
- Yang Yang 0031
— The University of Hong Kong, Department of Mechanical Engineering, Hong Kong
- Yang Yang 0032
— Yunnan Normal University, School of Information Science and Technology, Kunming, China (and 1 more)
- Yang Yang 0033
— University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust, Luxembourg (and 3 more)
- Yang Yang 0034
— University of Technology Sydney, School of Electrical and Data Engineering, Ultimo, NSW, Australia (and 3 more)
- Yang Yang 0035 — Army Engineering University of PLA, College of Communications Engineering, Nanjing, China (and 1 more)
- Yang Yang 0036 — China University of Petroleum (East China), Department of Software Engineering, Qingdao, China
- Yang Yang 0037 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Yang Yang 0038 — Florida Atlantic University, Department of Mathematical Sciences, Boca Raton, FL, USA
- Yang Yang 0039 (aka: Yi Yang 0016) — University of California, Merced, USA
- Yang Yang 0040 — University of California, Berkeley, CA, USA (and 1 more)
- Yang Yang 0041 — IBM China Research Laboratory, Beijing, China
- Yang Yang 0042 — Xi'an Jiaotong University, School of Electronics and Information Engineering, Sigpro Laboratory, China
- Yang Yang 0043
— Shanghai University, School of Computer Science, China
- Yang Yang 0044
— Shanghai University, School of Mechatronic Engineering and Automation, Key Laboratory of Intelligent Manufacturing and Robotics, China (and 1 more)
- Yang Yang 0045
— Tianjin University, School of Electrical and Information Engineering, China
- Yang Yang 0046
— Jiangsu University, Department of Computer Science, Zhenjiang, China (and 2 more)
- Yang Yang 0047
— University College London, Department of Biochemical Engineering, UK (and 2 more)
- Yang Yang 0048
— Pacific Northwest National Laboratory, Richland, WA, USA (and 2 more)
- Yang Yang 0049
— Purdue University, Department of Medicinal Chemistry and Molecular Pharmacology, West Lafayette, IN, USA (and 2 more)
- Yang Yang 0050
— Beijing Jiaotong University, School of Computer and Information Technology, Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, China
- Yang Yang 0051
— Beijing Forestry University, Department of Psychology, China (and 2 more)
- Yang Yang 0052
— Nanjing University of Posts and Telecommunications, College of Automation, China (and 1 more)
- Yang Yang 0053 — Soochow University, Suzhou, China
- Yang Yang 0054
— University of Hong Kong, Department of Civil Engineering, Hong Kong
- Yang Yang 0055
— Chongqing University, School of Civil Engineering / Key Laboratory of New Technology for Construction of Cities in Mountain Area, China
- Yang Yang 0056
— Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Yang Yang 0057
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Yang Yang 0058
— Shanghai Maritime University, School of Logistics Engineering, China
- Yang Yang 0059
— Anhui University, School of Electronics and Information Engineering, Hefei, China (and 1 more)
- Yang Yang 0060
— Hubei University, School of Computer and Information Engineering, Wuhan, China (and 1 more)
- Yang Yang 0061
— Shandong University of Science and Technology, College of Mechanical and Electronic Engineering, Qingdao, China
- Yang Yang 0062
— Chinese Academy of Sciences, Institute of Automation, CBSR&NLPR, Beijing, China (and 2 more)
- Yang Yang 0063
— RMIT University, SPACE Research Centre, School of Science, Melbourne, VIC, Australia (and 1 more)
- Yang Yang 0064
— Temple University, Department of Tourism and Hospitality Management, Philadelphia, PA, USA
- Yang Yang 0065
— University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yang Yang 0066
— Xi'an Jiaotong University, School of Electronic and Information Engineering, Xi'an, China (and 3 more)
- Yang Yang 0067
— University of New South Wales, Sydney, Australia
- Yang Yang 0068
— Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory of Information Storage System, Wuhan, China
- Yang Yang 0069
— Xi'an Jiaotong University, School of Information and Communications Engineering, Xi'an, China (and 1 more)
- Yang Yang 0070
— Australian National University, Research School of Finance, Actuarial Studies and Statistics, Canberra, Australia
- Yang Yang 0071
— China University of Mining and Technology, School of Management, China Beijing, China
- Yang Yang 0072
— PLA Information Engineering University, Zhengzhou, China (and 1 more)
- Yang Yang 0073
— University of Electronic Science and Technology of China, School of Electronic Science and Engineering, National Key Laboratory on Vacuum Electronics, Chengdu, China
- Yang Yang 0074
— Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China
- Yang Yang 0075 — Shanghai Jiao Tong University, School of Mechanical Engineering, China
- Yang Yang 0076 — Dublin City University, Insight Centre for Data Analytics, Glasnevin, Ireland
- Yang Yang 0077
— National Taiwan University, Institution of Industrial Engineering, Taipei, Taiwan (and 1 more)
- Yang Yang 0078
— Huazhong Agricultural University, College of Engineering, Wuhan, China (and 1 more)
- Yang Yang 0079
— Hong Kong Polytechnic University, Department of Land Surveying and Geo-informatics, Hong Kong
- Yang Yang 0080
— University of Science and Technology of China, Suzhou, China
- Yang Yang 0081
— Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China
- Yang Yang 0082
— South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
- Yang Yang 0083
— University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
- Yang Yang 0084
— Beijing Institute of Technology, School of Information and Electronics, China
- Yang Yang 0085
— University of Tasmania, Launceston, Australia
- Yang Yang 0086
— PLA Unit 31008, Beijing, China
- Yang Yang 0087
— Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Yang Yang 0088
— Chongqing University, School of Automotive Engineering, State Key Laboratory of Mechanical Transmission, China
- Yang Yang 0089
— University of Washington, Seattle, WA, USA (and 2 more)
- Yang Yang 0090
— Nanjing University, School of Information Management, China
- Yang Yang 0091
— University of Hamburg, Maritime Economics, Germany (and 1 more)
- Yang Yang 0092
— Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China
- Yang Yang 0093 — University of Iowa, Department of Mathematics, Iowa City, IA, USA
- Yang Yang 0094 — Carnegie Mellon University, School of Computer Science,, Computational Biology Department, Pittsburgh, PA, USA
- Yang Yang 0095 — LinkedIn, Mountain View, CA, USA
- Yang Yang 0096 — Google, Sunnyvale, CA, USA (and 2 more)
- Yang Yang 0097 — Northwestern University, Department of Chemical and Biological Engineering, Evanston, IL, USA (and 1 more)
- Yang Yang 0098
— Nanjing University of Aeronautics and Astronautics, College of Astronautics, Nanjing, China
- Yang Yang 0099
— Beijing University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Yang Yang 0100
— University of Manchester, Department of Mechanical, Aerospace and Civil Engineering, Manchester, UK
- Yang Yang 0101
— Chinese Academy of Sciences, Institute of Psychology, Key Laboratory of Behavioral Science, Beijing, China
- Yang Yang 0102 — Michigan State University, Department of Computational Mathematics Science and Engineering, East Lansing, MI, USA (and 1 more)
- Yang Yang 0103
— Beihang University, School of Mechanical Engineering and Automation, Beijing, China (and 1 more)
- Yang Yang 0104
— Chengdu Wuhou District Xueyou Education Training School, Chengdu, China
- Yang Yang 0105
— Changchun University of Science and Technology, School of Electronic Information Engineering, Changchun, China
- Yang Yang 0106
— Harbin Engineering University, Department of Computer Science and Technology, Harbin, China
- Yang Yang 0107
— Harbin Engineering University, College of Automation, China
- Yang Yang 0108
— Dalian University of Technology, School of Optoelectronic Engineering and Instrument Science, Dalian, China
- Yang Yang 0109
— National University of Defense Technology, College of Intelligent Sciences, Changsha, China
- Yang Yang 0110
— Icahn School of Medicine at Mount Sinai, Department of Radiology, New York, NY, USA (and 1 more)
- Yang Yang 0111 — University of Southern California, Department of Electrical and Computer Engineering, Los Angeles, CA, USA (and 1 more)
- Yang Yang 0112
— University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Yang Yang 0113
— Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, China
- Yang Yang 0114
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yang Yang 0115
— Chongqing University, School of Civil Engineering, China (and 2 more)
- Yang Yang 0116
— Southeast University, School of Cyber Science and Engineering, Nanjing, China (and 2 more)
- Yang Yang 0117
— Henan University, Kaifeng, China
- Yang Yang 0118 — University of Queensland, School of Information Technology and Electrical Engineering, Australia
- Yang Yang 0119
— China North Vehicle Institute, Science and Technology on Vehicle Transmission Laboratory, Beijing, China (and 1 more)
- Yang Yang 0120
— Dalian University of Technology, Schoof of Software, China
- Yang Yang 0121
— Inner Mongolia University, Hohhot, China
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2020 – today
- 2024
- [j37]Yuzhang Xie, Qingqing Sang, Qian Da
, Guoshuai Niu, Shijie Deng
, Haoran Feng, Yunqin Chen, Yuan-Yuan Li
, Bing-Ya Liu
, Yang Yang
, Wentao Dai
:
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression. Artif. Intell. Medicine 152: 102871 (2024) - [j36]Hehe Wu, Xiaojian Liu, Yi Fang, Yang Yang, Yan Huang, Xiaoyong Pan
, Hong-Bin Shen:
Decoding protein binding landscape on circular RNAs with base-resolution transformer models. Comput. Biol. Medicine 171: 108175 (2024) - [j35]Runhan Shi, Gufeng Yu, Xiaohong Huo, Yang Yang:
Prediction of chemical reaction yields with large-scale multi-view pre-training. J. Cheminformatics 16(1): 22 (2024) - [c27]Tian Xia, Zhiwei He, Tong Ren, Yibo Miao, Zhuosheng Zhang, Yang Yang, Rui Wang:
Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method. ACL (Findings) 2024: 3579-3602 - [i4]Tian Xia, Zhiwei He, Tong Ren, Yibo Miao, Zhuosheng Zhang, Yang Yang, Rui Wang:
Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method. CoRR abs/2402.15813 (2024) - 2023
- [j34]Yuyang Huang, Gufeng Yu
, Yang Yang
:
MIGGRI: A multi-instance graph neural network model for inferring gene regulatory networks for Drosophila from spatial expression images. PLoS Comput. Biol. 19(11) (2023) - [j33]Yang Yang
, Yanlun Tu, Houchao Lei, Wei Long:
HAMIL: Hierarchical aggregation-based multi-instance learning for microscopy image classification. Pattern Recognit. 136: 109245 (2023) - [c26]Zebei Han, Gufeng Yu, Yang Yang:
Enhancing Cancer Gene Prediction through Aligned Fusion of Multiple PPI Networks Using Graph Transformer Models. BIBM 2023: 542-547 - 2022
- [j32]Yanlun Tu, Houchao Lei, Hong-Bin Shen, Yang Yang:
SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images. Briefings Bioinform. 23(2) (2022) - [j31]Lujing Zheng, Zhenhuan Liu, Yang Yang
, Hong-Bin Shen
:
Accurate inference of gene regulatory interactions from spatial gene expression with deep contrastive learning. Bioinform. 38(3): 746-753 (2022) - [j30]Jin-Xian Hu, Yang Yang
, Ying-Ying Xu
, Hong-Bin Shen
:
GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images. Bioinform. 38(21): 4941-4948 (2022) - [j29]Zewei Ji
, Runhan Shi, Jiarui Lu, Fang Li, Yang Yang
:
ReLMole: Molecular Representation Learning Based on Two-Level Graph Similarities. J. Chem. Inf. Model. 62(22): 5361-5372 (2022) - [c25]Yuyang Huang, Shiwen Dong, Dandan Wang, Chunling Wan, Yang Yang:
Learning Time-Series Images of Niacin Skin-Flushing Test for the Diagnosis of Schizophrenia and Affective Disorder. BIBM 2022: 438-443 - [c24]Yuzhang Xie, Guoshuai Niu, Qian Da, Wentao Dai, Yang Yang:
Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression. BIBM 2022: 1311-1316 - 2021
- [j28]Shu Jiang
, Zhuosheng Zhang
, Hai Zhao
, Jiangtong Li, Yang Yang
, Bao-Liang Lu
, Ning Xia
:
When SMILES Smiles, Practicality Judgment and Yield Prediction of Chemical Reaction via Deep Chemical Language Processing. IEEE Access 9: 85071-85083 (2021) - [j27]Hehe Wu, Xiaoyong Pan, Yang Yang, Hong-Bin Shen:
Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network. Briefings Bioinform. 22(6) (2021) - [j26]Jianwei Hong, Ruitian Gao, Yang Yang
:
CrepHAN: cross-species prediction of enhancers by using hierarchical attention networks. Bioinform. 37(20): 3436-3443 (2021) - [j25]Yu-Xuan Chen
, Rui Xie, Yang Yang, Lin He, Dagan Feng, Hong-Bin Shen
:
Fast Cryo-EM Image Alignment Algorithm Using Power Spectrum Features. J. Chem. Inf. Model. 61(9): 4795-4806 (2021) - [j24]Wei Long, Tiange Li, Yang Yang
, Hong-Bin Shen
:
FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 194-204 (2021) - [j23]Zhimiao Yu, Jiarui Lu, Yuan Jin, Yang Yang
:
KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1305-1314 (2021) - [c23]Fu Wang, Liangliang Yuan, Yang Yang:
Predicting RNA-RBP Interactions by Using a Pseudo-Siamese Network. BIBM 2021: 167-170 - [c22]Francesco Arcamone, Yanlun Tu, Yang Yang:
Prediction of Protein Subcellular Localization from Microscopic Images via Few-Shot Learning. ISBRA 2021: 241-253 - [i3]Yanlun Tu, Houchao Lei, Wei Long, Yang Yang:
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification. CoRR abs/2103.09764 (2021) - 2020
- [j22]Di Wang, Ling Geng, Yu-Jun Zhao, Yang Yang, Yan Huang, Yang Zhang, Hong-Bin Shen:
Artificial intelligence-based multi-objective optimization protocol for protein structure refinement. Bioinform. 36(2): 437-448 (2020) - [j21]Wei Long, Yang Yang
, Hong-Bin Shen
:
ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images. Bioinform. 36(7): 2244-2250 (2020) - [j20]Rui Xie, Yu-Xuan Chen
, Jia-Ming Cai, Yang Yang, Hong-Bin Shen
:
SPREAD: A Fully Automated Toolkit for Single-Particle Cryogenic Electron Microscopy Data 3D Reconstruction with Image-Network-Aided Orientation Assignment. J. Chem. Inf. Model. 60(5): 2614-2625 (2020) - [c21]Rui Hu, Jia-Ming Cai, Wangjie Zheng, Yang Yang, Hong-Bin Shen:
NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing. BIBM 2020: 583-588 - [c20]Zhenhuan Liu, Jiafeng Chen, Yang Yang:
Tripfly: Predicting Gene-gene Interaction of Drosophila Eye Development Using Triplet Loss. BIBM 2020: 2364-2370 - [c19]Wangjie Zheng, Yang Yang:
An Unsupervised Iterative Model for Single-Particle Cryo-EM Image Denoising Based on Siamese Neural Network. BIBM 2020: 2390-2394 - [i2]Yanlun Tu, Jianxing Feng, Yang Yang:
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss. CoRR abs/2009.07994 (2020)
2010 – 2019
- 2019
- [j19]Yang Yang
, Mingyu Zhou, Qingwei Fang, Hong-Bin Shen
:
AnnoFly: annotating Drosophila embryonic images based on an attention-enhanced RNN model. Bioinform. 35(16): 2834-2842 (2019) - [j18]Shuo Yin, Biao Zhang, Yang Yang, Yan Huang, Hong-Bin Shen
:
Clustering Enhancement of Noisy Cryo-Electron Microscopy Single-Particle Images with a Network Structural Similarity Metric. J. Chem. Inf. Model. 59(4): 1658-1667 (2019) - [j17]Yang Yang
, Qingwei Fang
, Hong-Bin Shen
:
Predicting gene regulatory interactions based on spatial gene expression data and deep learning. PLoS Comput. Biol. 15(9) (2019) - [j16]Xiaofeng Fu, Yang Yang:
WEDeepT3: predicting type III secreted effectors based on word embedding and deep learning. Quant. Biol. 7(4): 293-301 (2019) - [i1]Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia:
Judging Chemical Reaction Practicality From Positive Sample only Learning. CoRR abs/1904.09824 (2019) - 2018
- [j15]Hanjin Zhang, Yang Yang
, Hong-Bin Shen:
Line Junction Detection Without Prior-Delineation of Curvilinear Structure in Biomedical Images. IEEE Access 6: 2016-2027 (2018) - [j14]Hanjin Zhang, Yang Yang
, Hong-Bin Shen:
Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method. IEEE Access 6: 22684-22694 (2018) - [j13]Zhen Cao, Xiaoyong Pan, Yang Yang, Yan Huang, Hong-Bin Shen
:
The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier. Bioinform. 34(13): 2185-2194 (2018) - [j12]Yang Yang, Xiaofeng Fu, Wenhao Qu, Yiqun Xiao, Hong-Bin Shen
:
MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA-disease association. Bioinform. 34(20): 3547-3556 (2018) - [c18]Tiange Li, Yang Yang, Hong-Bin Shen:
HMIML: Hierarchical Multi-Instance Multi-Label Learning of Drosophila Embryogenesis Images Using Convolutional Neural Networks. BIBM 2018: 907-912 - [c17]Guowei Ji, Yang Yang, Hong-Bin Shen:
IterVM: An Iterative Model for Single-Particle Cryo-EM Image Clustering Based on Variational Autoencoder and Multi-Reference Alignment. BIBM 2018: 999-1002 - [c16]Yiqun Xiao, Jiaxun Cai, Yang Yang, Hai Zhao, Hong-Bin Shen:
Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model. ICDM 2018: 1332-1337 - [c15]Kaiming Zhang, Yiqun Xiao, Xiaoyong Pan, Yang Yang:
Prediction of RNA-protein interactions with distributed feature representations and a hybrid deep model. ICIMCS 2018: 27:1-27:5 - [c14]Xiaofeng Fu, Yiqun Xiao, Yang Yang:
Prediction of Type III Secreted Effectors Based on Word Embeddings for Protein Sequences. ISBRA 2018: 287-298 - 2017
- [j11]Hang Zhou, Yang Yang, Hong-Bin Shen:
Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features. Bioinform. 33(6): 843-853 (2017) - [j10]Yang Yang, Ning Huang, Luning Hao
, Wei Kong:
A clustering-based approach for efficient identification of microRNA combinatorial biomarkers. BMC Genom. 18(S2) (2017) - [j9]Yang Yang, Yiqun Xiao, Tianyu Cao, Wei Kong:
MiRFFS: a functional group-based feature selection method for the identification of microRNA biomarkers. Int. J. Data Min. Bioinform. 18(1): 40-55 (2017) - [c13]Hanjin Zhang, Yang Yang, Hong-Bin Shen:
Detection of Curvilinear Centerline by Using Hough Voting. ACPR 2017: 120-125 - [c12]Jin-Xian Hu, Ying-Ying Xu, Yang Yang, Hong-Bin Shen:
Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images. ACPR 2017: 599-604 - 2016
- [j8]Yang Yang, Zhuangdi Xu, Dandan Song:
Missing value imputation for microRNA expression data by using a GO-based similarity measure. BMC Bioinform. 17(S-1): 10 (2016) - [c11]Yang Yang, Tianyu Cao, Wei Kong:
Feature selection based on functional group structure for microRNA expression data analysis. BIBM 2016: 242-247 - [c10]Hang Zhou, Yang Yang, Hong-Bin Shen:
A New Subcellular Localization Predictor for Human Proteins Considering the Correlation of Annotation Features and Protein Multi-localization. CCPR (2) 2016: 499-512 - 2015
- [c9]Changge Chen, Hai Zhao, Yang Yang:
Deceptive Opinion Spam Detection Using Deep Level Linguistic Features. NLPCC 2015: 465-474 - 2014
- [j7]Wei Kong, Jingmao Zhang, Xiaoyang Mou, Yang Yang:
Integrating Gene Expression and Protein Interaction Data for Signaling Pathway Prediction of Alzheimer's Disease. Comput. Math. Methods Medicine 2014: 340758:1-340758:7 (2014) - [j6]Wei Kong
, Xiaoyang Mou, Xing Zhi, Xing Zhang, Yang Yang:
Dynamic Regulatory Network Reconstruction for Alzheimer's Disease Based on Matrix Decomposition Techniques. Comput. Math. Methods Medicine 2014: 891761:1-891761:10 (2014) - [j5]Yang Yang, Sihui Qi:
A new feature selection method for computational prediction of type III secreted effectors. Int. J. Data Min. Bioinform. 10(4): 440-454 (2014) - 2012
- [j4]Yang Yang:
Identification of Novel Type III Effectors Using Latent Dirichlet Allocation. Comput. Math. Methods Medicine 2012: 696190:1-696190:6 (2012) - 2011
- [c8]Yang Yang:
A comparative study on sequence feature extraction for type III secreted effector prediction. FSKD 2011: 1560-1564 - [c7]Sihui Qi, Yang Yang, Anjun Song:
Feature Reduction Using a Topic Model for the Prediction of Type III Secreted Effectors. ICONIP (1) 2011: 155-163 - 2010
- [j3]Yang Yang, Jiayuan Zhao, Robyn L. Morgan, Wenbo Ma, Tao Jiang
:
Computational prediction of type III secreted proteins from gram-negative bacteria. BMC Bioinform. 11(S-1): 47 (2010) - [j2]Yang Yang, Bao-Liang Lu
:
Protein Subcellular Multi-Localization Prediction Using a Min-Max Modular Support Vector Machine. Int. J. Neural Syst. 20(1): 13-28 (2010)
2000 – 2009
- 2009
- [j1]Dandan Song, Yang Yang, Bin Yu, Binglian Zheng, Zhidong Deng, Bao-Liang Lu
, Xuemei Chen
, Tao Jiang
:
Computational prediction of novel non-coding RNAs in Arabidopsis thaliana. BMC Bioinform. 10(S-1) (2009) - 2008
- [c6]Yang Yang, Bao-Liang Lu, Wen-Yun Yang:
Classification of Protein Sequences Based on Word Segmentation Methods. APBC 2008: 177-186 - 2007
- [c5]Yang Yang, Bao-Liang Lu
:
Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization. ICONIP (2) 2007: 827-836 - 2006
- [c4]Wen-Yun Yang, Bao-Liang Lu, Yang Yang:
A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction. CIBCB 2006: 1-8 - [c3]Yang Yang, Bao-Liang Lu
:
Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine. ISNN (2) 2006: 667-673 - 2005
- [c2]Yang Yang, Bao-Liang Lu:
Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization. CIBCB 2005: 288-295 - [c1]Yang Yang, Bao-Liang Lu
:
Structure Pruning Strategies for Min-Max Modular Network. ISNN (1) 2005: 646-651
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-10 23:43 CEST by the dblp team
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