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ORCIDYang 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
![[0000-0003-0608-9408]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0608-9408")
— 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
- Yang Yang 0122 — Beihang University, Research Institute for Frontier Science, China
- Yang Yang 0123 — Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China (and 1 more)
- Yang Yang 0124 — Osaka University, Japan
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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) - [c29]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 - [c28]Yuyang Huang, Wenjing Lu, Yang Yang:
An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing. IJCAI 2024: 4201-4209 - [i5]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) - [i4]Yifei Yang, Runhan Shi, Zuchao Li, Shu Jiang, Bao-Liang Lu, Yang Yang, Hai Zhao:
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction. CoRR abs/2408.10285 (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) - [c27]Kuo Guo, Yifan Li, Hao Chen, Hong-Bin Shen, Yang Yang:
Isoform Function Prediction Based on Heterogeneous Graph Attention Networks. BIBM 2023: 522-527 - [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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last updated on 2024-11-19 21:47 CET by the dblp team
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