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2020 – today
- 2024
[j9]Yaxun Jia
, Zhu Yuan, Haoyang Wang, Yunchao Gong, Haixiang Yang, Zuo-Lin Xiang:
BBL-GAT: A Novel Method for Drug-Drug Interaction Extraction From Biomedical Literature. IEEE Access 12: 134167-134184 (2024)- [j8]Yunchao Gong, Xueqiang Lv, Zhu Yuan, Xindong You, Feng Hu, Yuzhong Chen:
GNN-Based Multimodal Named Entity Recognition. Comput. J. 67(8): 2622-2632 (2024) - [j7]Zhu Yuan, Xueqiang Lv, Yunchao Gong, Ping Xie, Taifu Yuan, Xindong You:
Cost-effective data classification storage through text seasonal features. Future Gener. Comput. Syst. 158: 472-487 (2024) - [j6]Yunchao Gong, Xueqiang Lv, Zhu Yuan, Zhaojun Wang, Feng Hu, Xindong You:
Multimodal heterogeneous graph entity-level fusion for named entity recognition with multi-granularity visual guidance. J. Supercomput. 80(16): 23767-23793 (2024) - 2023
- [j5]Yun-Chao Gong, Min Wang, Wei Liang, Feng Hu, Zi-Ke Zhang:
UHIR: An effective information dissemination model of online social hypernetworks based on user and information attributes. Inf. Sci. 644: 119284 (2023)
2010 – 2019
- 2017
- [j4]Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang:
On Binary Embedding using Circulant Matrices. J. Mach. Learn. Res. 18: 150:1-150:30 (2017) - [c20]Yunchao Gong, Li Wang, Ruoguang Li, Mei Song, Zhu Han, Ping Zhang:
Power Allocation for Secrecy Efficiency in Full-Duplex Relay Assisted Cooperative Networks. VTC Spring 2017: 1-5 - 2015
- [c19]Yunchao Gong, Marcin Pawlowski, Fei Yang, Louis Brandy, Lubomir D. Bourdev, Rob Fergus:
Web scale photo hash clustering on a single machine. CVPR 2015: 19-27 - [p1]Felix X. Yu, Yunchao Gong, Sanjiv Kumar:
Fast Binary Embedding for High-Dimensional Data. Multimedia Data Mining and Analytics 2015: 347-371 - [i5]Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang:
On Binary Embedding using Circulant Matrices. CoRR abs/1511.06480 (2015) - 2014
- [b1]Yunchao Gong:
Large-scale image retrieval using similarity preserving binary codes. University of North Carolina, Chapel Hill, USA, 2014 - [j3]Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik:
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics. Int. J. Comput. Vis. 106(2): 210-233 (2014) - [j2]Albert Gordo, Florent Perronnin, Yunchao Gong, Svetlana Lazebnik:
Asymmetric Distances for Binary Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 33-47 (2014) - [c18]Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik:
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. ECCV (7) 2014: 392-407 - [c17]Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, Svetlana Lazebnik:
Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections. ECCV (4) 2014: 529-545 - [c16]Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang:
Circulant Binary Embedding. ICML 2014: 946-954 - [c15]Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe:
Deep Convolutional Ranking for Multilabel Image Annotation. ICLR (Poster) 2014 - [i4]Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik:
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. CoRR abs/1403.1840 (2014) - [i3]Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang:
Circulant Binary Embedding. CoRR abs/1405.3162 (2014) - [i2]Yunchao Gong, Liu Liu, Ming Yang, Lubomir D. Bourdev:
Compressing Deep Convolutional Networks using Vector Quantization. CoRR abs/1412.6115 (2014) - 2013
- [j1]Yunchao Gong, Svetlana Lazebnik, Albert Gordo, Florent Perronnin:
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2916-2929 (2013) - [c14]Yunchao Gong, Sanjiv Kumar, Henry A. Rowley, Svetlana Lazebnik:
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections. CVPR 2013: 484-491 - 2012
- [c13]Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik:
Angular Quantization-based Binary Codes for Fast Similarity Search. NIPS 2012: 1205-1213 - [i1]Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik:
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics. CoRR abs/1212.4522 (2012) - 2011
- [c12]Yunchao Gong, Svetlana Lazebnik:
Iterative quantization: A procrustean approach to learning binary codes. CVPR 2011: 817-824 - [c11]Yunchao Gong, Svetlana Lazebnik:
Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images. CVPR 2011: 2633-2640
2000 – 2009
- 2008
- [c10]Chuanliang Chen, Yun-Chao Gong, Rongfang Bie:
Discriminant Analysis Methods for Microarray Data Classification. Australasian Conference on Artificial Intelligence 2008: 268-277 - [c9]Yun-Chao Gong, Chuanliang Chen:
Locality Spectral Clustering. Australasian Conference on Artificial Intelligence 2008: 348-354 - [c8]Zengmei Fu, Chuanliang Chen, Yunchao Gong, Rongfang Bie:
A Comparison Study: Web Pages Categorization with Bayesian Classifiers. HPCC 2008: 789-794 - [c7]Yun-Chao Gong, Chuanliang Chen, Min Shen, Zengmei Fu:
Semi-supervised Discriminant Analyze with Instance-Level Constraints. HPCC 2008: 801-806 - [c6]Chuanliang Chen, Yun-Chao Gong, Yingjie Tian:
KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis. ICCS (1) 2008: 995-1004 - [c5]Yun-Chao Gong, Chuanliang Chen:
Semi-supervised method for gene expression data classification with Gaussian fields and harmonic functions. ICPR 2008: 1-4 - [c4]Yun-Chao Gong, Chuanliang Chen, Yingjie Tian:
Graph-based semi-supervised learning with redundant views. ICPR 2008: 1-4 - [c3]Chuanliang Chen, Yunchao Gong, Rongfang Bie, Xiao Zhi Gao:
Searching for Interacting Features for Spam Filtering. ISNN (1) 2008: 491-500 - [c2]Yun-Chao Gong, Feng Liu, Chuanliang Chen:
Graph-based semi-supervised learning with manifold preprocessing for image classification. SMC 2008: 391-395 - [c1]Chuanliang Chen, Yunchao Gong, Yingjie Tian:
Semi-supervised learning methods for network intrusion detection. SMC 2008: 2603-2608
Coauthor Index
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