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Graph Sequential Network for Reasoning over Sequences


Apr 04, 2020
Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou

* Part of this paper was presented at NeurIPS 2019 Workshop on Graph Representation Learning 

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Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents


Nov 22, 2019
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou

* Accepted to AAAI 2020 

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Speaker-invariant Affective Representation Learning via Adversarial Training


Nov 04, 2019
Haoqi Li, Ming Tu, Jing Huang, Shrikanth Narayanan, Panayiotis Georgiou

* 5 pages 

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Multiple instance learning with graph neural networks


Jun 12, 2019
Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou

* Accepted to ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Representations 

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Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs


Jun 04, 2019
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou

* To appear in ACL 2019 

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I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences


Apr 16, 2019
Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Hector Delgado, Jose Patino, Qiongqiong Wang, Ling Guo, Takafumi Koshinaka, Jiacen Zhang, Koichi Shinoda, Trung Ngo Trong, Md Sahidullah, Fan Lu, Yun Tang, Ming Tu, Kah Kuan Teh, Huy Dat Tran, Kuruvachan K. George, Ivan Kukanov, Florent Desnous, Jichen Yang, Emre Yilmaz, Longting Xu, Jean-Francois Bonastre, Chenglin Xu, Zhi Hao Lim, Eng Siong Chng, Shivesh Ranjan, John H. L. Hansen, Massimiliano Todisco, Nicholas Evans

* 5 pages 

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Reducing the Model Order of Deep Neural Networks Using Information Theory


May 16, 2016
Ming Tu, Visar Berisha, Yu Cao, Jae-sun Seo

* To appear in ISVLSI 2016 special session 

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