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ORCIDJun Wang 0035
Person information
- affiliation: Shandong University, SDU-NTU Joint Centre For AI Research, C-FAIR, Jinan, China
- affiliation: Southwest University, College of Computer and Information Science, Chongqing, China
- affiliation (PhD 2010): Harbin Institute of Technology, School of Computer Science and Technology, China
Other persons with the same name
- Jun Wang — disambiguation page
- Jun Wang 0001
![[0000-0002-0926-4761]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0926-4761")
— University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA (and 2 more) - Jun Wang 0002 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 3 more)
- Jun Wang 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Jun Wang 0004 — Beijing Genomics Institute, Shenzhen, China (and 2 more)
- Jun Wang 0005 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology, Chengdu, China (and 1 more)
- Jun Wang 0006 — East China Normal University, Shanghai, China (and 3 more)
- Jun Wang 0007 — UCLA, CORES Lab, Los Angeles, CA, USA
- Jun Wang 0008 — The University of British Columbia, Vancouver, BC, Canada
- Jun Wang 0009 — Osaka University, Japan
- Jun Wang 0010 — Sichuan University, College of Electronics And Information Engineering, Chengdu, China (and 1 more)
- Jun Wang 0011 — Microsoft (and 1 more)
- Jun Wang 0012 — University College London, Department of Computer Science, UCL Centre for Artificial Intelligence, London, UK (and 1 more)
- Jun Wang 0013 — Xihua University, School of Computer and Software Engineering, Chengdu, China (and 1 more)
- Jun Wang 0014 — Huazhong University of Science and Technology, China (and 1 more)
- Jun Wang 0015 — Zhuhai Jieli Technology Co., Ltd, Zhuhai, China (and 3 more)
- Jun Wang 0016 — Old Dominion University, Norfolk, USA
- Jun Wang 0017 — University of Geneva, Switzerland
- Jun Wang 0018 — iWudao Tech, San Jose, CA, USA (and 2 more)
- Jun Wang 0019 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Jun Wang 0020 — Université du Luxembourg, Luxembourg
- Jun Wang 0021 — University of New South Wales, Kensington, NSW, Australia
- Jun Wang 0022 — University of Iowa, Center for Global and Regional Environmental Studies, Iowa City, IA, USA (and 3 more)
- Jun Wang 0023 — Nankai University, Institute of Big Data, Tianjin, China (and 1 more)
- Jun Wang 0024 — Shanghai University, School of Communication and Information Engineering, Shanghai , China (and 3 more)
- Jun Wang 0025 — Tongji University, Department of Control Science and Engineering, Shanghai, China
- Jun Wang 0026 — University of Nebraska-Lincoln, Power and Energy Systems Laboratory, NE, USA (and 1 more)
- Jun Wang 0027 — South-Central University for Nationalities, College of Computer Science, Wuhan, China (and 1 more)
- Jun Wang 0028 — US Environmental Protection Agency (EPA, Research Triangle Park, NC, USA (and 1 more)
- Jun Wang 0029 — Jiangnan University, Department of Packaging Engineering, Wuxi, China (and 1 more)
- Jun Wang 0030 — Duke University, Department of Chemistry, Durham, NC, USA (and 2 more)
- Jun Wang 0031 — Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing, China (and 1 more)
- Jun Wang 0032 — Queen Mary University of London, Computer Science Department, UK
- Jun Wang 0033 — University of Bedfordshire, UK
- Jun Wang 0034 — Xidian University, Institute of Electronic CAD, Xi'an, China
- Jun Wang 0036 — Shanghai University of Engineering Science, College of Electronic and Electrical Engineering, China
- Jun Wang 0037 — University of Texas at Dallas, Department of Bioengineering, Richardson, TX, USA (and 1 more)
- Jun Wang 0038 — Zhejiang University, Department of Biosystems Engineering, China
- Jun Wang 0039 — Nanjing University of Aeronautics and Astronautics, College of Mechanical and Electrical Engineering, China (and 4 more)
- Jun Wang 0040 — University of California, San Diego, Department of Bioengineering, CA, USA
- Jun Wang 0041 — Beihang University, Electronic Information Engineering, Beijing, China (and 1 more)
- Jun Wang 0042 — Peking University, School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Jun Wang 0043 — China Three Gorges University, Yichang, China (and 2 more)
- Jun Wang 0044 — Harbin Institute of Technology at Weihai, School of Information and Electrical Engineering, China
- Jun Wang 0045 — Northwestern Polytechnical University, School of Materials Science, Xi'an, China (and 1 more)
- Jun Wang 0046 — University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, Chengdu, China
- Jun Wang 0047 — Nanjing University, Collaborative Innovation Center of Advanced Microstructures, School of Physics, National Laboratory of Solid State Microstructures, China
- Jun Wang 0048 — Fuzhou University, School of Electrical Engineering and Automation, China (and 1 more)
- Jun Wang 0049 — Beihang University, School of Aviation Science and Engineering, Beijing, China
- Jun Wang 0050 — Beijing Jiaotong University, School of Economics and Management, China
- Jun Wang 0051 — Jiangnan University, School of Mechanical Engineering, Wuxi, China
- Jun Wang 0052 — Queen Mary University of London, Barts Cancer Institute, London, UK (and 1 more)
- Jun Wang 0053 — Linköping University, Division of Theoretical Chemistry, Sweden (and 3 more)
- Jun Wang 0054 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jun Wang 0055 — Western Sydney University, Australia (and 1 more)
- Jun Wang 0056 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Jun Wang 0057 — Tianjin University of Science and Technology, College of Mechanical Engineering, China (and 1 more)
- Jun Wang 0058 — Taiyuan University of Technology, Key Laboratory of Advanced Transducers and Intelligent Control System, China
- Jun Wang 0059 — Beihang University, Department of Information Systems, School of Economics and Management, Beijing, China (and 1 more)
- Jun Wang 0060 — Peking University, College of Life Sciences, Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, Beijing, China
- Jun Wang 0061 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Jun Wang 0062 — Huawei Technologies, Hangzhou Research Center, China
- Jun Wang 0063 — Air force Early-warning Institute, Wuhan, China (and 2 more)
- Jun Wang 0064 — Henan University of Science and Technology, College of Agriculture Equipment Engineering, Luoyang, China
- Jun Wang 0065 (aka: Jun-Askuyue Wang) — Harbin Institute of Technology, Department of Mathematics, China
- Jun Wang 0066 — Beijing Foreign Studies University, International Business School, Beijing, China (and 1 more)
- Jun Wang 0067 — University of Fukui, Graduate School of Engineering, Department of Human and Artificial Intelligent Systems, Japan
- Jun Wang 0068 — Tianjin University of Finance and Economics, School of Management Science and Engineering, China
- Jun Wang 0069 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Jun Wang 0070 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Jun Wang 0071 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
- Jun Wang 0072 — Zhejiang University, Institute of Translational Medicine, Hangzhou, China
- Jun Wang 0073 — Tsinghua University, Department of Computer Science and Technology, Beijing , China
- Jun Wang 0074 — University of Kiel, Institute for Experimental Medicine, Germany (and 2 more)
- Jun Wang 0075 — Beijing Jiaotong University, School of Science, Department of Mathematics, China (and 1 more)
- Jun Wang 0076 — Central South University, School of Traffic and Transportation Engineering, Changsha, China
- Jun Wang 0077 — Huawei US R&D, Santa Clara, CA, USA (and 2 more)
- Jun Wang 0078 — Northwest University, School of Information Science and Technology, Xi'an, China (and 1 more)
- Jun Wang 0079 — Lanzhou University of Technology, College of Electrical and Information Engineering / Key Laboratory of Gansu Advanced Control for Industrial Processes, China
- Jun Wang 0080 — Southern Medical University, Shenzhen Hospital, China (and 1 more)
- Jun Wang 0081 — Tianjin University, College of Intelligence and Computing, China
- Jun Wang 0082 — Flatiron Institute, Simons Foundation, New York, NY, USA
- Jun Wang 0083 — Xi'an Jiaotong University, Faculty of Electrical and Information Engineering, School of Automation Science and Engineering, Department of Automation, China
- Jun Wang 0084 — Toll Collection Center for Shaanxi Freeway, Xi'an, China
- Jun Wang 0085 — China University of Petroleum (East China), College of Control Science and Engineering, Qingdao, China (and 1 more)
- Jun Wang 0086 — Southeast University, School of Information Science and Engineering, State Key Laboratory of Millimeter-Waves, Nanjing, China
- Jun Wang 0087 — Beijing University of Chemical Technology, School of Economics and Management, China
- Blowman J. Wang (aka: Jun Wang 0088) — Southern University of Science and Technology, Shenzhen, China
- Jun Wang 0089 — Southwestern University of Finance and Economics, Chengdu, China
- Jun Wang 0090 — Salesforce AI Research, Palo Alto, CA, USA (and 1 more)
- Jun Wang 0091 — Tencent AI Lab, Shenzhen, China
- Jun Wang 0092 — University of Texas Southwestern, Department of Psychiatry, Dallas, TX, USA
- Jun Wang 0093 — Jiangsu University, Faculty of Science, Zhenjiang, China (and 1 more)
- Jun Wang 0094 — Nanjing University, International Institute for Earth System Science, China
- Jun Wang 0095 — China Medical University, First Affiliated Hospital, Department of Surgical Oncology and General Surgery, Shenyang, China
- Jun Wang 0096 — Ministry of Agriculture, Key Laboratory of Freshwater Aquatic Genetic Resources, Shanghai, China (and 2 more)
- Jun Wang 0097 — Nanjing Medical University, First Affiliated Hospital, Department of Thoracic Surgery, China
- Jun Wang 0098 — Mississippi State University, Department of Civil and Environmental Engineering, Starkville, MS, USA (and 1 more)
- Jun Wang 0099 — Shandong Normal University, School of Psychology, Jinan, China
- Jun Wang 0100 — Peking University, Department of Information Management, Beijing, China
- Jun Wang 0101 — Yunnan Normal University, MoE Key Laboratory of Education Informatization for Nationalities / Yunnan Key Laboratory of Smart Education, Kunming, China
- Jun Wang 0102 — Nanjing University of Information Science and Technology, School of Computer and Software, China
- Jun Wang 0103 — Xi'an Aerospace Propulsion Institute, Science and Technology on Liquid Rocket Engine Laboratory, China (and 1 more)
- Jun Wang 0104 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Jun Wang 0105 — Tsinghua University, Department of Precision Instrument, Beijing, China (and 1 more)
- Jun Wang 0106 — University of Bristol, Department of Electrical and Electronic Engineering, UK
- Jun Wang 0107 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications / Center for Intelligent Networking and Communications, Chengdu, China
- Jun Wang 0108 — China Institute of Water Resources and Hydropower Research, Institute of Water Resources for Pastoral Area, Huhhot, China
- Jun Wang 0109 — Xidian University, School of Cyber Engineering, Xi'an, China
- Jun Wang 0110 — Dalian Maritime University, School of Information Science and Technology, China
- Jun Wang 0111 — Shandong University of Science and Technology, College of Geometrics, Qingdao, China
- Jun Wang 0112 — Harbin University of Science and Technology, Department of Communication Engineering, China
- Jun Wang 0113 — National University Corporation Shizuoka University, Graduate School of Science and Technology, Integrated Bioscience Section, Japan
- Jun Wang 0114 — Hebei University, College of Electronic Information Engineering, Baoding, China (and 1 more)
- Jun Wang 0115 — Qilu University of Technology, School of Mechanical and Automotive Engineering, Jinan, China
- Jun Wang 0116 — University of Electronic Science and Technology of China, Zhongshan Institute, China (and 1 more)
- Jun Wang 0117 — National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China (and 1 more)
- Jun Wang 0118 — China University of Geosciences, School of Computer Science, Wuhan, China
- Jun Wang 0119 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Jun Wang 0120 — University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- Jun Wang 0121 — University of Warwick, Department of Computer Science, Coventry, UK (and 3 more)
- Jun Wang 0122 — Amazon AWS AI Labs
- Jun Wang 0123 — Ping An Technology Co. Ltd., PingAn Healthcare Technology, AI Platform Group, Beijing, China (and 2 more)
- Jun Wang 0124 — China University of Geosciences, School of Geophysics and Information Technology, Beijing, China
- Jun Wang 0125 — Virginia Tech, Computer Science Department, Blacksburg, VA, USA
- Jun Wang 0126 — University of Melbourne, Australia
- Jun Wang 0127 — JD AI Research, Beijing, China
- Jun Wang 0128 — Southwest Minzu University, College of Electrical and Information Engineering, Key Laboratory of Electronic Information of State Ethnic Affairs Commission, Chengdu, China
- Jun Wang 0129 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jun Wang 0130 — University of Science and Technology of China, School of Computer Science and Technology, Key Lab of Computing and Communication Software of Anhui Province, Hefei, China
- Jun Wang 0131 — Nanchang Institute of Technology, School of Information Engineering, Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang, China (and 1 more)
- Jun Wang 0132 — Shanghai Normal University, Department of Mathematics, Shanghai, China
- Jun Wang 0133 — University of Siena, Department of Information Engineering and Mathematics, Siena, Italy
- Jun Wang 0134 — Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, China
- Jun Wang 0135 — Washington University in St. Louis, Department of Electrical and Systems Engineering, St. Louis, MO, USA (and 1 more)
- Jun Wang 0136 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Jun Wang 0137 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Brain-inspired Application Technology Center, Shanghai, China
- Jun Wang 0138 — Southeast University, School of Information Science and Engineering, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
- Jun Wang 0139 — Indiana University, Pervasive Technology Institute, Bloomington, IN, USA
- Jun Wang 0140 — Xi'an University of Posts and Telecommunications, School of Telecommunication and Information Engineering, Xi'an, China
- Jun Wang 0141 — Palo Alto Networks, Inc., USA (and 1 more)
- Jun Wang 0142 — Independent Researcher, Syracuse, NY, USA (and 2 more)
- Jun Wang 0143 — China Earthquake Administration, The Second Monitoring and Application Center, Xi'an, China (and 1 more)
- Jun Wang 0144 — Jilin University, Institute of Atomic and Molecular Physics, Changchun, China (and 1 more)
- Jun Wang 0145 — Quzhou University, School of Mechanical Engineering, Quzhou, China (and 3 more)
- Jun Wang 0146 — University of Nebraska-Lincoln, Department of Electrical and Computer Engineering, Lincoln, NE, USA (and 1 more)
- Jun Wang 0147 — Wuhan University of Science and Technology, College of Life and Health Sciences, Institute of Biology and Medicine, Wuhan, China
- Jun Wang 0148 — Shenyang University of Chemical Technology, College of Computer Science and Technology, Shenyang, China
- Jun Wang 0150 — Xidian University, National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xi'an, China (and 1 more)
- Jun Wang 0151 — Nanjing University, State Key Laboratory for Novel Software Technology, China (and 1 more)
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Journal Articles
- 2024
[j61]Guoxian Yu, Liangrui Ren, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings: Recent advances and perspectives. Comput. Sci. Rev. 52: 100621 (2024)- [j60]Jiaxuan Liang, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo:
Gradient-Based Local Causal Structure Learning. IEEE Trans. Cybern. 54(1): 486-495 (2024) - [j59]Cong Su, Guoxian Yu, Yongqing Zheng, Jun Wang, Zhengtian Wu, Xiangliang Zhang, Carlotta Domeniconi:
Causality-Based Fair Multiple Decision by Response Functions. ACM Trans. Knowl. Discov. Data 18(3): 61:1-61:23 (2024) - [j58]Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui:
Personalized Federated Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2534-2544 (2024) - 2023
- [j57]Zimo Huang, Jun Wang, Xudong Lu, Azlan Mohd Zain, Guoxian Yu:
scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network. Briefings Bioinform. 24(2) (2023) - [j56]Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo, Guoxian Yu:
Cooperative driver pathways discovery by multiplex network embedding. Briefings Bioinform. 24(3) (2023) - [j55]Liangrui Ren, Jun Wang, Zhao Li, Qingzhong Li, Guoxian Yu:
scMCs: a framework for single-cell multi-omics data integration and multiple clusterings. Bioinform. 39(4) (2023) - [j54]Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo:
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. Inf. Fusion 94: 272-283 (2023) - [j53]Zimo Huang, Jun Wang, Zhongmin Yan, Lin Wan, Maozu Guo:
Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 340-351 (2023) - [j52]Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang:
A Diversified Attention Model for Interpretable Multiple Clusterings. IEEE Trans. Knowl. Data Eng. 35(9): 8852-8864 (2023) - [j51]Jiaxuan Liang, Jun Wang, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo:
Directed Acyclic Graph Learning on Attributed Heterogeneous Network. IEEE Trans. Knowl. Data Eng. 35(10): 10845-10856 (2023) - 2022
- [j50]Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo:
Differentially expressed genes prediction by multiple self-attention on epigenetics data. Briefings Bioinform. 23(3) (2022) - [j49]Xin Wang, Xia Cao, Yuantao Feng, Maozu Guo, Guoxian Yu, Jun Wang:
ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. Briefings Bioinform. 23(4) (2022) - [j48]Xingze Wang, Guoxian Yu, Jun Wang, Azlan Mohd Zain, Wei Guo:
Lung cancer subtype diagnosis using weakly-paired multi-omics data. Bioinform. 38(22): 5092-5099 (2022) - [j47]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui:
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64(12): 3235-3263 (2022) - [j46]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Weakly Supervised Cross-Modal Hashing. IEEE Trans. Big Data 8(2): 552-563 (2022) - [j45]Jun Wang, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu:
EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 243-254 (2022) - [j44]Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang:
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2166-2176 (2022) - [j43]Jun Wang, Long Zhang, An Zeng, Dawen Xia, Jiantao Yu, Guoxian Yu:
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2177-2187 (2022) - [j42]Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang:
Tissue Specificity Based Isoform Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 3048-3059 (2022) - [j41]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang:
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. IEEE Trans. Knowl. Data Eng. 34(5): 2091-2105 (2022) - [j40]Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Flexible Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 33(1): 304-314 (2022) - [j39]Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiview Multi-Instance Multilabel Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4311-4321 (2022) - 2021
- [j38]Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways. Briefings Bioinform. 22(2): 1984-1999 (2021) - [j37]Guoxian Yu, Jie Zeng, Jun Wang, Hong Zhang, Xiangliang Zhang, Maozu Guo:
Imbalance deep multi-instance learning for predicting isoform-isoform interactions. Int. J. Intell. Syst. 36(6): 2797-2824 (2021) - [j36]Qiuyue Huang, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu:
IsoDA: Isoform-Disease Association Prediction by Multiomics Data Fusion. J. Comput. Biol. 28(8): 804-819 (2021) - [j35]Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiple clusterings of heterogeneous information networks. Mach. Learn. 110(6): 1505-1526 (2021) - [j34]Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang:
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1384-1395 (2021) - [j33]Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu:
Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1439-1450 (2021) - [j32]Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51(3): 1716-1727 (2021) - [j31]Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang:
Discovering Multiple Co-Clusterings With Matrix Factorization. IEEE Trans. Cybern. 51(7): 3576-3587 (2021) - [j30]Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks. ACM Trans. Knowl. Discov. Data 15(1): 12:1-12:24 (2021) - [j29]Xianxue Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Co-Clustering Ensembles Based on Multiple Relevance Measures. IEEE Trans. Knowl. Data Eng. 33(4): 1389-1400 (2021) - [j28]Guoxian Yu, Jinzheng Tu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Active Multilabel Crowd Consensus. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1448-1459 (2021) - 2020
- [j27]Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo, Jun Wang:
Isoform function prediction based on bi-random walks on a heterogeneous network. Bioinform. 36(1): 303-310 (2020) - [j26]Keyao Wang, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu:
Differentiating isoform functions with collaborative matrix factorization. Bioinform. 36(6): 1864-1871 (2020) - [j25]Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu:
Predicting functions of maize proteins using graph convolutional network. BMC Bioinform. 21-S(16): 420 (2020) - [j24]Lin Jiang, Guoxian Yu, Maozu Guo, Jun Wang:
Feature selection with missing labels based on label compression and local feature correlation. Neurocomputing 395: 95-106 (2020) - [j23]Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang:
Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Inf. Fusion 63: 153-165 (2020) - [j22]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label crowd consensus via joint matrix factorization. Knowl. Inf. Syst. 62(4): 1341-1369 (2020) - [j21]Guoxian Yu, Keyao Wang, Guangyuan Fu, Maozu Guo, Jun Wang:
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 238-249 (2020) - 2019
- [j20]Ziying Yang, Guoxian Yu, Maozu Guo, Jun Wang:
CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk. IEEE Access 7: 77738-77749 (2019) - [j19]Honghu Zhou, Jun Wang:
Laplacian Eigenmaps Dimensionality Reduction Based on Clustering-Adjusted Similarity. Algorithms 12(10): 210 (2019) - [j18]Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang:
Weighted samples based semi-supervised classification. Appl. Soft Comput. 79: 46-58 (2019) - [j17]Long Zhang, Guoxian Yu, Dawen Xia, Jun Wang:
Protein-protein interactions prediction based on ensemble deep neural networks. Neurocomputing 324: 10-19 (2019) - 2018
- [j16]Guangyuan Fu, Jun Wang, Carlotta Domeniconi, Guoxian Yu:
Matrix factorization-based data fusion for the prediction of lncRNA-disease associations. Bioinform. 34(9): 1529-1537 (2018) - [j15]Guoxian Yu, Yuan Jiang, Jun Wang, Hao Zhang, Haiwei Luo:
BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage. Bioinform. 34(24): 4172-4179 (2018) - [j14]Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang:
Predicting protein-protein interactions using high-quality non-interacting pairs. BMC Bioinform. 19-S(19): 105-124 (2018) - [j13]Guoxian Yu, Guangyuan Fu, Jun Wang, Yingwen Zhao:
NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1390-1402 (2018) - 2017
- [j12]Yanming Yu, Jun Wang, Qiaoyu Tan, Lianyin Jia, Guoxian Yu:
Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization. IEEE Access 5: 21927-21940 (2017) - [j11]Jun Wang, Guangjun Yao, Guoxian Yu:
Semi-supervised classification by discriminative regularization. Appl. Soft Comput. 58: 245-255 (2017) - [j10]Guoxian Yu, Chang Lu, Jun Wang:
NoGOA: predicting noisy GO annotations using evidences and sparse representation. BMC Bioinform. 18(1): 350 (2017) - [j9]Guoxian Yu, Yingwen Zhao, Chang Lu, Jun Wang:
HashGO: hashing gene ontology for protein function prediction. Comput. Biol. Chem. 71: 264-273 (2017) - [j8]Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang:
Semi-supervised multi-label classification using incomplete label information. Neurocomputing 260: 192-202 (2017) - 2016
- [j7]Xuan Hou, Guangjun Yao, Jun Wang:
Semi-Supervised Classification Based on Low Rank Representation. Algorithms 9(3): 48 (2016) - [j6]Guangyuan Fu, Jun Wang, Bo Yang, Guo-Xian Yu:
NegGOA: negative GO annotations selection using ontology structure. Bioinform. 32(19): 2996-3004 (2016) - [j5]Guo-Xian Yu, Wei Luo, Guangyuan Fu, Jun Wang:
Interspecies gene function prediction using semantic similarity. BMC Syst. Biol. 10(4): 495-507 (2016) - [j4]Chang Lu, Jun Wang, Zili Zhang, Pengyi Yang, Guo-Xian Yu:
NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity. Comput. Biol. Chem. 65: 203-211 (2016) - [j3]Guo-Xian Yu, Guangyuan Fu, Jun Wang, Hailong Zhu:
Predicting Protein Function via Semantic Integration of Multiple Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 220-232 (2016) - 2009
- [j2]Jun Wang, Maozu Guo, Chun-yu Wang:
CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data. BMC Bioinform. 10(S-1) (2009) - [j1]Maozu Guo, Jun Wang, Chun-yu Wang, Yang Liu:
A hybrid clustering and graph based algorithm for tagSNP selection. Soft Comput. 13(12): 1143-1151 (2009)
Conference and Workshop Papers
- 2024
- [c48]Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang:
Multi-Granularity Causal Structure Learning. AAAI 2024: 13727-13735 - [c47]Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu:
Multi-Dimensional Fair Federated Learning. AAAI 2024: 15083-15090 - [c46]Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang:
Federated Causality Learning with Explainable Adaptive Optimization. AAAI 2024: 16308-16315 - [c45]Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi:
Semi-Asynchronous Online Federated Crowdsourcing. ICDE 2024: 4180-4193 - 2023
- [c44]Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang:
Incentive-Boosted Federated Crowdsourcing. AAAI 2023: 6021-6029 - [c43]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-Tail Cross Modal Hashing. AAAI 2023: 7642-7650 - [c42]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. AAAI 2023: 10737-10744 - [c41]Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo:
Causal Discovery by Graph Attention Reinforcement Learning. SDM 2023: 28-36 - 2022
- [c40]Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Phenotype Prediction by Heterogeneous Molecular Network Embedding. BIBM 2022: 116-121 - 2021
- [c39]Haojiang Tan, Sichao Qiu, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. BIBM 2021: 211-216 - [c38]Xin Wang, Jun Wang, Guoxian Yu, Beibei Xin, Maozu Guo:
Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. BIBM 2021: 314-319 - [c37]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:
Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289 - 2020
- [c36]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings Using Deep Matrix Factorization. AAAI 2020: 6348-6355 - [c35]Sufang Li, Jun Wang, Maozu Guo, Xiangliang Zhang:
Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction. BIBM 2020: 115-120 - [c34]Huiling Zhang, Jun Wang, Guoxian Yu, Lizhen Cui, Maozu Guo:
Epistasis Detection using Heterogeneous Bio-molecular Network. BIBM 2020: 194-199 - [c33]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. DASFAA (1) 2020: 621-637 - [c32]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. ICDM 2020: 651-660 - [c31]Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Partial Multi-label Learning using Label Compression. ICDM 2020: 761-770 - [c30]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. ICDM 2020: 1370-1375 - [c29]Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi:
Crowdsourcing with Multiple-Source Knowledge Transfer. IJCAI 2020: 2908-2914 - [c28]Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-Supervised Multi-view Multi-instance Multi-label Learning. IJCAI 2020: 3124-3130 - [c27]Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu:
Isoform-Disease Association Prediction by Data Fusion. ISBRA 2020: 44-55 - [c26]Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang:
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. ISBRA 2020: 56-67 - [c25]Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. SDM 2020: 451-459 - 2019
- [c24]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. AAAI 2019: 4400-4407 - [c23]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. AAAI 2019: 5353-5360 - [c22]Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo:
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization. AAAI 2019: 5508-5515 - [c21]Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang:
CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering. BIBM 2019: 165-170 - [c20]Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, Xiangliang Zhang:
DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method. BIBM 2019: 171-176 - [c19]Guangjie Zhou, Jun Wang, Xiangliang Zhang, Guoxian Yu:
DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network. BIBM 2019: 1836-1841 - [c18]Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo:
Selective Matrix Factorization for Multi-relational Data Fusion. DASFAA (1) 2019: 313-329 - [c17]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-Modal Zero-Shot Hashing. ICDM 2019: 449-458 - [c16]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. IJCAI 2019: 2123-2129 - [c15]Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. IJCAI 2019: 4121-4127 - [c14]Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo:
Discovering Multiple Co-Clusterings in Subspaces. SDM 2019: 423-431 - 2018
- [c13]Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi:
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. BIBM 2018: 572-577 - [c12]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Multi-label Answer Aggregation Based on Joint Matrix Factorization. ICDM 2018: 517-526 - [c11]Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang:
Cost Effective Multi-label Active Learning via Querying Subexamples. ICDM 2018: 905-910 - [c10]Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang:
Multiple Co-clusterings. ICDM 2018: 1308-1313 - [c9]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu:
Feature-Induced Partial Multi-label Learning. ICDM 2018: 1398-1403 - [c8]Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Incomplete Multi-View Weak-Label Learning. IJCAI 2018: 2703-2709 - [c7]Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Multi-Label Co-Training. IJCAI 2018: 2882-2888 - [c6]Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Matrix Factorization for Identifying Noisy Labels of Multi-label Instances. PRICAI 2018: 508-517 - [c5]Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Multi-view Weak-label Learning based on Matrix Completion. SDM 2018: 450-458 - 2010
- [c4]Jun Wang, Maozu Guo:
A graph and hierarchical clustering based approach for population structure inference. BCB 2010: 346-349 - [c3]Ping Xuan, Maozu Guo, Lei-lei Shi, Jun Wang, Xiaoyan Liu, Wenbin Li, Yingpeng Han:
Two-stage clustering based effective sample selection for classification of pre-miRNAs. BIBM 2010: 549-552 - [c2]Jun Wang, Maozu Guo:
SNPs and entropy based hierarchical clustering method for genetic phylogeny analysis. FSKD 2010: 2229-2233 - 2008
- [c1]Jun Wang, Maozu Guo, Juan Chen, Yang Liu:
TagSNPs Selection Using Maximum Density Subgraph. ICNC (5) 2008: 128-132
Informal and Other Publications
- 2023
- [i20]Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang:
Federated Causality Learning with Explainable Adaptive Optimization. CoRR abs/2312.05540 (2023) - [i19]Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang:
Multi-granularity Causal Structure Learning. CoRR abs/2312.05549 (2023) - [i18]Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu:
Multi-dimensional Fair Federated Learning. CoRR abs/2312.05551 (2023) - 2022
- [i17]Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. CoRR abs/2211.12151 (2022) - [i16]Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang:
Incentive-boosted Federated Crowdsourcing. CoRR abs/2211.14439 (2022) - [i15]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-tail Cross Modal Hashing. CoRR abs/2211.15162 (2022) - 2021
- [i14]Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo:
MetaMIML: Meta Multi-Instance Multi-Label Learning. CoRR abs/2111.04112 (2021) - 2020
- [i13]Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. CoRR abs/2003.07578 (2020) - [i12]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. CoRR abs/2010.02024 (2020) - [i11]Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-typed Objects Multi-view Multi-instance Multi-label Learning. CoRR abs/2010.02539 (2020) - 2019
- [i10]Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. CoRR abs/1905.04191 (2019) - [i9]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-based Deep Cross-modal Hashing. CoRR abs/1905.04450 (2019) - [i8]Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. CoRR abs/1905.05053 (2019) - [i7]Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo:
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization. CoRR abs/1905.05061 (2019) - [i6]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. CoRR abs/1905.05659 (2019) - [i5]Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-paired Cross-Modal Hashing. CoRR abs/1905.12203 (2019) - [i4]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing. CoRR abs/1908.07388 (2019) - [i3]Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang:
Active Multi-Label Crowd Consensus. CoRR abs/1911.02789 (2019) - [i2]Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings using Deep Matrix Factorization. CoRR abs/1911.11396 (2019) - [i1]Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Attention-Aware Answers of the Crowd. CoRR abs/1912.11238 (2019)
Coauthor Index
[j61] [j60] [j59] [j58] [j54] [j52] [j51] [j47] [j46] [j41] [j40] [j39] [j38] [j35] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j23] [j22] [j16] [c46] [c45] [c44] [c43] [c37] [c36] [c32] [c31] [c30] [c29] [c28] [c25] [c24] [c23] [c22] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [i20] [i16] [i15] [i14] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j60] [j58] [j56] [j54] [j53] [j51] [j50] [j49] [j46] [j45] [j44] [j42] [j37] [j36] [j34] [j33] [j30] [j27] [j25] [j24] [j23] [j22] [j21] [j20] [j14] [j2] [j1] [c42] [c41] [c40] [c39] [c38] [c35] [c34] [c33] [c26] [c24] [c23] [c22] [c21] [c20] [c18] [c14] [c13] [c12] [c4] [c3] [c2] [c1] [i17] [i14] [i13] [i10] [i9] [i7]
Guoxian Yu
aka: Guo-Xian Yu
aka: Guo-Xian Yu
[j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j52] [j51] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j6] [j5] [j4] [j3] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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