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Xu Cheng

CETC Big Data Research Institute

Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction

Sep 23, 2020
Ningyu Zhang, Luoqiu Li, Shumin Deng, Haiyang Yu, Xu Cheng, Wei Zhang, Huajun Chen


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DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning

Sep 13, 2020
Yushan Zhu, Wen Zhang, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen


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Interpreting Hierarchical Linguistic Interactions in DNNs

Jun 29, 2020
Die Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Hao Zhang, Mengyue Wu, Quanshi Zhang


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Rotation-Equivariant Neural Networks for Privacy Protection

Jun 21, 2020
Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang

* arXiv admin note: text overlap with arXiv:2003.08365 

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Explaining Knowledge Distillation by Quantifying the Knowledge

Mar 07, 2020
Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang


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Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding

Oct 10, 2019
Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, Hanyu Zhang


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Effective and Efficient Network Embedding Initialization via Graph Partitioning

Aug 28, 2019
Wenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, Hongyun Cai


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An Attention-Based Approach for Single Image Super Resolution

Jul 18, 2018
Yuan Liu, Yuancheng Wang, Nan Li, Xu Cheng, Yifeng Zhang, Yongming Huang, Guojun Lu


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Properties on n-dimensional convolution for image deconvolution

Nov 30, 2017
Song Yizhi, Xu Cheng, Ding Daoxin, Zhou Hang, Quan Tingwei, Li Shiwei


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Tracking Deformable Parts via Dynamic Conditional Random Fields

Oct 30, 2013
Suofei Zhang, Zhixin Sun, Xu Cheng, Zhenyang Wu

* 4 pages, 5 figures, the manuscript has been submitted to IEEE Signal Processing Letters 

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