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Confusable Learning for Large-class Few-Shot Classification

Nov 06, 2020
Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long


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A BERT-based Dual Embedding Model for Chinese Idiom Prediction

Nov 04, 2020
Minghuan Tan, Jing Jiang

* COLING 2020 

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Cooperative Heterogeneous Deep Reinforcement Learning

Nov 02, 2020
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang


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MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler

Oct 17, 2020
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

* Accepted by NeurIPS 2020 

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Counterfactual Variable Control for Robust and Interpretable Question Answering

Oct 12, 2020
Sicheng Yu, Yulei Niu, Shuohang Wang, Jing Jiang, Qianru Sun


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RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion

Oct 10, 2020
Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

* Accepted to appear at COLING 2020 

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Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention

Oct 08, 2020
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang

* Accepted to appear at COLING 2020 

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Cross-Thought for Sentence Encoder Pre-training

Oct 07, 2020
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu

* Accepted by EMNLP 2020 

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Context Modeling with Evidence Filter for Multiple Choice Question Answering

Oct 06, 2020
Sicheng Yu, Hao Zhang, Wei Jing, Jing Jiang

* 6 pages, 2 figures 

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Attribute Propagation Network for Graph Zero-shot Learning

Sep 24, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* AAAI 2020 

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BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes

Sep 24, 2020
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang

* 10 pages, 8 figures, accepted by IEEE ICDM 2020. arXiv admin note: substantial text overlap with arXiv:2006.10516 

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Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

Jun 28, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang


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A Universal Representation Transformer Layer for Few-Shot Image Classification

Jun 25, 2020
Lu Liu, William Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle


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Self-Attention Enhanced Patient Journey Understanding in Healthcare System

Jun 19, 2020
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

* 16 pages, 6 figures, accepted by ECML/PKDD 2020 

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Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

May 24, 2020
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang

* Accepted by KDD 2020 

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Online Non-convex Learning for River Pollution Source Identification

May 22, 2020
Wenjie Huang, Jing Jiang, Xiao Liu

* 27 Pages, 7 Figures 

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Multi-Center Federated Learning

May 03, 2020
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang


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Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder

Apr 13, 2020
Yufei Tian, Jianfei Yu, Jing Jiang


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Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline

Feb 24, 2020
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein


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Interpretable Rumor Detection in Microblogs by Attending to User Interactions

Jan 29, 2020
Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang

* 8 pages, 3 figures, AAAI 2020 Conference 

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Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching

Jan 20, 2020
Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

* AAAI 2020, 8 pages 

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Multimodal Story Generation on Plural Images

Jan 16, 2020
Jing Jiang

* 6 pages, 3 figures 

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Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction

Nov 27, 2019
Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang

* Accepted to appear at AAAI 2020 

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Two-Headed Monster And Crossed Co-Attention Networks

Nov 10, 2019
Yaoyiran Li, Jing Jiang


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What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?

Oct 28, 2019
Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang

* 10 pages 

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Temporal Self-Attention Network for Medical Concept Embedding

Sep 15, 2019
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein

* 10 pages, 7 figures, accepted at IEEE ICDM 2019 

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Learning to Propagate for Graph Meta-Learning

Sep 11, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* Accepted to NeurIPS 2019 

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Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering

Sep 06, 2019
Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang


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Attributed Graph Clustering: A Deep Attentional Embedding Approach

Jun 15, 2019
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang

* Accepted to IJCAI-19 

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