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MAT: Motion-Aware Multi-Object Tracking


Sep 18, 2020
Shoudong Han, Piao Huang, Hongwei Wang, En Yu, Donghaisheng Liu, Xiaofeng Pan, Jun Zhao

* 13 pages, 10 figures, 4 tables 

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Distance Encoding -- Design Provably More Powerful Graph Neural Networks for Structural Representation Learning


Sep 05, 2020
Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec


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Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning


Aug 31, 2020
Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec


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Refinements in Motion and Appearance for Online Multi-Object Tracking


Mar 17, 2020
Piao Huang, Shoudong Han, Jun Zhao, Donghaisheng Liu, Hongwei Wang, En Yu, Alex ChiChung Kot


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Entity Context and Relational Paths for Knowledge Graph Completion


Feb 17, 2020
Hongwei Wang, Hongyu Ren, Jure Leskovec


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Unifying Graph Convolutional Neural Networks and Label Propagation


Feb 17, 2020
Hongwei Wang, Jure Leskovec


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Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization


May 11, 2019
Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang

* KDD 2019 research track oral 

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Lipschitz Generative Adversarial Nets


Mar 14, 2019
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang

* Under review by the International Conference on Machine Learning (ICML 2019) 

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Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation


Jan 23, 2019
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo

* In Proceedings of The 2019 Web Conference (WWW 2019) 

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Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks


Nov 19, 2018
Chenchen Li, Jialin Wang, Hongwei Wang, Miao Zhao, Wenjie Li, Xiaotie Deng

* Draft, 25 pages 

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Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks


Nov 13, 2018
Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu


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Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets


Oct 05, 2018
Zhiming Zhou, Yuxuan Song, Lantao Yu, Hongwei Wang, Zhihua Zhang, Weinan Zhang, Yong Yu

* Submitted to ICLR 2019 

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AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods


Oct 05, 2018
Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu

* Submitted to ICLR 2019 

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RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems


Aug 25, 2018
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo

* CIKM 2018 

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DKN: Deep Knowledge-Aware Network for News Recommendation


Jan 30, 2018
Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo

* The 27th International Conference on World Wide Web (WWW'18) 

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SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction


Dec 03, 2017
Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu

* The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018) 

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Joint Topic-Semantic-aware Social Recommendation for Online Voting


Dec 03, 2017
Hongwei Wang, Jia Wang, Miao Zhao, Jiannong Cao, Minyi Guo

* The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017) 

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GraphGAN: Graph Representation Learning with Generative Adversarial Nets


Nov 22, 2017
Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo

* The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 8 pages 

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