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Wen Zhang

Zhejiang University

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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Overcoming Negative Transfer: A Survey

Sep 02, 2020
Wen Zhang, Lingfei Deng, Dongrui Wu


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Deep Representation Learning For Multimodal Brain Networks

Jul 19, 2020
Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang

* 11 pages, 3 figures, MICCAI 2020 

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Neural Entity Summarization with Joint Encoding and Weak Supervision

May 10, 2020
Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen

* 7 pages, accepted to IJCAI-PRICAI 2020 The paper is temporarily withdrawn due to company policies 

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Variational Wasserstein Barycenters for Geometric Clustering

Feb 24, 2020
Liang Mi, Tianshu Yu, Jose Bento, Wen Zhang, Baoxin Li, Yalin Wang


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Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation

Jan 14, 2020
Wen Zhang, Dongrui Wu


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Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA)

Dec 01, 2019
Wen Zhang, Dongrui Wu


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Modeling Fluency and Faithfulness for Diverse Neural Machine Translation

Nov 30, 2019
Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu


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Predicting microRNA-disease associations from knowledge graph using tensor decomposition with relational constraints

Nov 13, 2019
Feng Huang, Zhankun Xiong, Guan Zhang, Zhouxin Yu, Xinran Xu, Wen Zhang


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Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation

Nov 05, 2019
Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang


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PtLnc-BXE: Prediction of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features

Nov 01, 2019
Guangyan Zhang, Ziru Liu, Jichen Dai, Zilan Yu, Shuai Liu, Wen Zhang

* 8 pages,5 figures, 3 tables 

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Redistribution Mechanism Design on Networks

Oct 21, 2019
Wen Zhang, Dengji Zhao, Hanyu Chen


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Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

Oct 14, 2019
Wen Zhang, Dongrui Wu


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Geometric Brain Surface Network For Brain Cortical Parcellation

Sep 13, 2019
Wen Zhang, Yalin Wang

* GLMI in Conjunction with MICCAI 2019 
* 8 pages 

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Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

Sep 04, 2019
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen

* Accepted by EMNLP 2019 

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Bridging the Gap between Training and Inference for Neural Machine Translation

Jun 17, 2019
Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu

* 10 pages, 7 figures 

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Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

Jun 12, 2019
Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun

* Preprint submitted to Bioinformatics journal 

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Neural Learning of Online Consumer Credit Risk

Jun 05, 2019
Di Wang, Qi Wu, Wen Zhang

* 49 pages, 11 tables, 7 figures 

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Crowdsourcing Data Acquisition via Social Networks

May 14, 2019
Wen Zhang, Yao Zhang, Dengji Zhao


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Fixed-price Diffusion Mechanism Design

May 14, 2019
Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He


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Sequential Decision Fusion for Environmental Classification in Assistive Walking

Apr 25, 2019
Kuangen Zhang, Wen Zhang, Wentao Xiao, Haiyuan Liu, Clarence W. de Silva, Chenglong Fu


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Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Mar 21, 2019
Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen

* This paper is accepted by WWW'19 

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Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Mar 12, 2019
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen

* This paper is accepted by WSDM2019 

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Graph Neural Networks for User Identity Linkage

Mar 06, 2019
Wen Zhang, Kai Shu, Huan Liu, Yalin Wang

* 7 pages, 3 figures 

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End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking

Jan 02, 2019
Xingjian Du, Mengyao Zhu, Xuan Shi, Xinpeng Zhang, Wen Zhang, Jingdong Chen


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Regularized Wasserstein Means Based on Variational Transportation

Dec 02, 2018
Liang Mi, Wen Zhang, Yalin Wang

* Comments are welcomed 

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Refining Source Representations with Relation Networks for Neural Machine Translation

Sep 09, 2018
Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu

* 12pages, 7 figures, accepted for COLING-2018. arXiv admin note: substantial text overlap with arXiv:1709.03980 

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Speeding Up Neural Machine Translation Decoding by Cube Pruning

Sep 09, 2018
Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu

* 11pages, 11 figures, EMNLP-2018 conference 

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