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SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning

Dec 02, 2020
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long


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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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Cooperative Heterogeneous Deep Reinforcement Learning

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


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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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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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Interpretable Time-series Classification on Few-shot Samples

Jun 03, 2020
Wensi Tang, Lu Liu, Guodong Long

* Accepted to IJCNN 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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Multi-Center Federated Learning

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


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Semantic Triple Encoder for Fast Open-Set Link Prediction

Apr 30, 2020
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang


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Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Apr 29, 2020
Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen


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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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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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Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

Oct 23, 2019
Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang


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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

Oct 11, 2019
Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang

* Accepted to appear at EMNLP-IJCNLP 2019 

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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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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

Jun 02, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

* Accepted to IJCAI 2019, Code is publicly available at: https://github.com/liulu112601/PPN 

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Graph WaveNet for Deep Spatial-Temporal Graph Modeling

May 31, 2019
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

* to be published in IJCAI-2019 

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DAGCN: Dual Attention Graph Convolutional Networks

Apr 04, 2019
Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long


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Learning Graph Embedding with Adversarial Training Methods

Jan 04, 2019
Shirui Pan, Ruiqi Hu, Sai-fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang

* arXiv admin note: substantial text overlap with arXiv:1802.04407 

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A Comprehensive Survey on Graph Neural Networks

Jan 03, 2019
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu


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