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| The first chromosome‐level genome for a marine mammal as a resource to study ecology and evolution Journal article MOLECULAR ECOLOGY RESOURCES, 2019,Volume: 19,Issue: 4,Page: 944-956 Authors: Guangyi Fan; Yaolei Zhang; Xiaochuan Liu; Jiahao Wang; Zeguo Sun; Shuai Sun; He Zhang; Jianwei Chen; Meiqi Lv; Kai Han; Xiaoxuan Tan; Jie Hu; Rui Guan; Yuanyuan Fu; Shanshan Liu; Xi Chen; Qiwu Xu; Yating Qin; Longqi Liu; Jie Bai; Ou Wang; Jingbo Tang; Haorong Lu; Zhouchun Shang; Bo Wang; Guohai Hu; Xia Zhao; Yan Zou; Ao Chen; Meihua Gong; Wenwei Zhang; Simon M.‐Y. Lee ; Songhai Li; Junnian Liu; Zhen Li; Yishan Lu; Jamal S. M. Sabir; Mumdooh J. Sabir; Muhummadh Khan; Nahid H. Hajrah; Ye Yin; Karsten Kristiansen; Huanming Yang; Jian Wang; Xun Xu; Xin Liu
 Favorite | View/Download:246/0 | TC[WOS]:7 TC[Scopus]:7 | Submit date:2020/01/16 Ancestral Chromosomes Aquatic Adaptations Genome Assembly Genomics/proteomics Major Histocompatibility Complex Mammals Molecular Evolution Sperm Whale |
| Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article Pattern Recognition, 2019,Volume: 89,Page: 119-133 Authors: Yuan H.; Li J.; Lai L.L.; Tang Y.Y.
 Favorite | View/Download:33/0 | TC[WOS]:7 TC[Scopus]:10 | Submit date:2019/02/11 Nonnegative spectral analysis Sparse matrix regression Two-dimensional feature selection Unsupervised learning |
| Block sparse representation for pattern classification: Theory, extensions and applications Journal article Pattern Recognition, 2019,Volume: 88,Page: 198-209 Authors: Wang Y.; Tang Y.Y.; Li L.; Zheng X.
 Favorite | View/Download:21/0 | TC[WOS]:6 TC[Scopus]:5 | Submit date:2019/02/11 Block sparsity M-estimator Representation based classifier Subspace |
| Assembling Mesoscale-Structured Organic Interfaces in Perovskite Photovoltaics Journal article Advanced Materials, 2019,Volume: 31,Issue: 8 Authors: Hou Y.; Xie C.; Radmilovic V.V.; Puscher B.; Wu M.; Heumuller T.; Karl A.; Li N.; Tang X.; Meng W.; Chen S.; Osvet A.; Guldi D.; Spiecker E.; Radmilovic V.R.; Brabec C.J.
 Favorite | View/Download:20/0 | TC[WOS]:8 TC[Scopus]:6 | Submit date:2019/04/08 organic nanoparticles perovskite porous interfaces solar cells |
| Polyoxometalate-Derived Hexagonal Molybdenum Nitrides (MXenes) Supported by Boron, Nitrogen Codoped Carbon Nanotubes for Efficient Electrochemical Hydrogen Evolution from Seawater Journal article Advanced Functional Materials, 2019,Volume: 29,Issue: 8 Authors: Miao J.; Lang Z.; Zhang X.; Kong W.; Peng O.; Yang Y.; Wang S.; Cheng J.; He T.; Amini A.; Wu Q.; Zheng Z.; Tang Z.; Cheng C.
 Favorite | View/Download:20/0 | TC[WOS]:25 TC[Scopus]:33 | Submit date:2019/04/08 density functional theory calculations doped carbon nanotubes hydrogen evolution reaction MXenes polyoxometalate |
| Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification Journal article IEEE Geoscience and Remote Sensing Letters, 2019,Volume: 16,Issue: 2,Page: 241-245 Authors: Qin A.; Shang Z.; Tian J.; Wang Y.; Zhang T.; Tang Y.Y.
 Favorite | View/Download:52/0 | TC[WOS]:12 TC[Scopus]:17 | Submit date:2019/02/11 Graph convolutional hyperspectral image (HSI) classification neural network semisupervised learning |
| High-Performance Sodium-Ion Batteries Based on Nitrogen-Doped Mesoporous Carbon Spheres with Ultrathin Nanosheets Journal article ACS Applied Materials and Interfaces, 2019,Volume: 11,Issue: 3,Page: 2970-2977 Authors: Zhong X.; Li Y.; Zhang L.; Tang J.; Li X.; Liu C.; Shao M.; Lu Z.; Pan H. ; Xu B.
 Favorite | View/Download:29/0 | TC[WOS]:26 TC[Scopus]:31 | Submit date:2019/04/08 Carbon Sphere Hard Carbon Nanosheets Nitrogen-doping Sodium-ion Battery |
| Spray-combustion synthesis of indium tin oxide nanopowder Journal article Journal of the American Ceramic Society, 2019,Volume: 102,Issue: 1,Page: 42-47 Authors: Chen Z.; Zhu Y.; Duan Q.; Chen A.; Tang Z.
 Favorite | View/Download:22/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date:2019/04/08 combustion synthesis compounds indium/indium nanoparticles sol-gel spray drying |
| Siamese Dense Neural Network for Software Defect Prediction with Small Data Journal article IEEE Access, 2019,Volume: 7,Page: 7663-7677 Authors: Zhao L.; Shang Z.; Zhao L.; Qin A.; Tang Y.Y.
 Favorite | View/Download:29/0 | TC[WOS]:6 TC[Scopus]:11 | Submit date:2019/02/11 deep learning few-shot learning metric learning Siamese dense neural networks software defect prediction |
| Relative risks of Internet-related addictions and mood disturbances among college students: a 7-country/region comparison Journal article Public Health, 2018,Volume: 165,Page: 16-25 Authors: Tang,C. S.K.; Wu,A. M.S.; Yan,E. C.W.; Ko,J. H.C.; Kwon,J. H.; Yogo,M.; Gan,Y. Q.; Koh,Y. Y.W.
 Favorite | View/Download:17/0 | TC[WOS]:8 TC[Scopus]:11 | Submit date:2019/06/25 Anxiety Cross-country/region comparison Depression Internet-related addictions Relative risk |