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EventBERT: A Pre-Trained Model for Event Correlation Reasoning


Oct 13, 2021
Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang

* 12 pages, 6 figures 

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Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision


Sep 19, 2021
Yang Li, Guodong Long, Tao Shen, Jing Jiang

* 10 pages 

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Sequential Diagnosis Prediction with Transformer and Ontological Representation


Sep 07, 2021
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

* 10 pages, 5 figures, Accepted by IEEE ICDM 2021. arXiv admin note: text overlap with arXiv:2107.09288 

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Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction


Sep 07, 2021
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang

* 11 pages, Findings of EMNLP'2021, 7th-11th November 2021 

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TraverseNet: Unifying Space and Time in Message Passing


Aug 25, 2021
Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis


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Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health


Aug 24, 2021
Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang


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Federated Learning for Open Banking


Aug 24, 2021
Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang


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Multi-Center Federated Learning


Aug 21, 2021
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang, Chengqi Zhang

* It should be a replacement of an existing paper in the link. arXiv:2005.01026 

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MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning


Jul 23, 2021
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang


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Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering


Jul 10, 2021
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

* 11 pages 

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FedProto: Federated Prototype Learning over Heterogeneous Devices


May 01, 2021
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang


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Task Aligned Generative Meta-learning for Zero-shot Learning


Mar 03, 2021
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long


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Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning


Feb 25, 2021
Shaoxiong Ji, Teemu Saravirta, Shirui Pan, Guodong Long, Anwar Walid


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Isometric Propagation Network for Generalized Zero-shot Learning


Feb 03, 2021
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang

* Accepted by ICLR 2021 

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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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