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Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

Oct 23, 2020
Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang

* Code available at https://github.com/wzhouad/ATLOP 

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Direct Multi-hop Attention based Graph Neural Network

Oct 02, 2020
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec


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Inductive Learning on Commonsense Knowledge Graph Completion

Sep 19, 2020
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C. -C. Jay Kuo

* 10 pages, 3 figures, 7 tables 

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Entity and Evidence Guided Relation Extraction for DocRED

Aug 27, 2020
Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang


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Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

Jul 18, 2020
Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai

* Accepted by ECCV 2020 

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Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning

Jul 08, 2020
Tian Yu, Jing Huang, Qing Chang

* 11 pages, 6 figures 

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Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Jul 03, 2020
Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu


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Speaker Diarization with Lexical Information

Apr 13, 2020
Tae Jin Park, Kyu J. Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis Georgiou, Shrikanth Narayanan

* Interspeech 2019, 391-395 

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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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Deep Visual Waterline Detection within Inland Marine Environment

Nov 24, 2019
Jing Huang, Hengfeng Miao, Lin Li, Yuanqiao Wen, Changshi Xiao

* 9 pages, 3 figures, journal 

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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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Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding

Nov 09, 2019
Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou


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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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Improving Graph Attention Networks with Large Margin-based Constraints

Oct 25, 2019
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec


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Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification

Oct 24, 2019
Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou


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Relation Module for Non-answerable Prediction on Question Answering

Oct 23, 2019
Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou


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Zero-shot Text-to-SQL Learning with Auxiliary Task

Aug 29, 2019
Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou


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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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Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification

Feb 21, 2019
Yun Tang, Guohong Ding, Jing Huang, Xiaodong He, Bowen Zhou

* Accepted by ICASSP2019 

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Improving Rotated Text Detection with Rotation Region Proposal Networks

Nov 16, 2018
Jing Huang, Viswanath Sivakumar, Mher Mnatsakanyan, Guan Pang


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End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

Nov 15, 2018
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou

* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) 

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DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

May 17, 2018
Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar

* Dataset description for DeepGlobe 2018 Challenge at CVPR 2018 

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Learning Two-Branch Neural Networks for Image-Text Matching Tasks

May 01, 2018
Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik

* accepted version in TPAMI 2018 

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