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Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


Oct 30, 2021
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou

* Accepted to EMNLP 2021 

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LiST: Lite Self-training Makes Efficient Few-shot Learners


Oct 12, 2021
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao


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Exploring the Common Principal Subspace of Deep Features in Neural Networks


Oct 06, 2021
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou

* Main Text with Appendix, accepted by Machine Learning 

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Tele-Operated Oropharyngeal Swab (TOOS) RobotEnabled by TSS Soft Hand for Safe and EffectiveCOVID-19 OP Sampling


Sep 20, 2021
Wei Chen, Jianshu Zhou, Shing Shin Cheng, Yiang Lu, Fangxun Zhong, Yuan Gao, Yaqing Wang, Lingbin Xue, Michael C. F. Tong, Yun-Hui Liu


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FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning


Sep 12, 2021
Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma


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Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework


Sep 11, 2021
Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao

* EMNLP 2021 Findings 

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FedCon: A Contrastive Framework for Federated Semi-Supervised Learning


Sep 09, 2021
Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma


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Property-aware Adaptive Relation Networks for Molecular Property Prediction


Jul 16, 2021
Yaqing Wang, Abulikemu Abuduweili, Dejing Dou

* molecular property prediction, few-shot learning, meta learning 

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Multimodal Emergent Fake News Detection via Meta Neural Process Networks


Jun 22, 2021
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao

* accepted by KDD 2021 

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FedSemi: An Adaptive Federated Semi-Supervised Learning Framework


Dec 06, 2020
Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma


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A Benchmark Dataset for Understandable Medical Language Translation


Dec 04, 2020
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma


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Adaptive Self-training for Few-shot Neural Sequence Labeling


Oct 07, 2020
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah


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Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization


Aug 22, 2020
Yaqing Wang, Quanming Yao, James T. Kwok


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Efficient Knowledge Graph Validation via Cross-Graph Representation Learning


Aug 16, 2020
Yaqing Wang, Fenglong Ma, Jing Gao

* CIKM 2020 

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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types


Jun 24, 2020
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han

* KDD 2020 

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Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data


Jun 23, 2020
Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao

* KDD 2020 

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Decomposed Adversarial Learned Inference


Apr 21, 2020
Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao


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Weak Supervision for Fake News Detection via Reinforcement Learning


Jan 20, 2020
Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao

* AAAI 2020 

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Generalizing from a Few Examples: A Survey on Few-Shot Learning


May 13, 2019
Yaqing Wang, Quanming Yao, James Kwok, Lionel M. Ni


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Few-shot Learning: A Survey


Apr 10, 2019
Yaqing Wang, Quanming Yao


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General Convolutional Sparse Coding with Unknown Noise


Mar 08, 2019
Yaqing Wang, James T. Kwok, Lionel M. Ni


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Online Convolutional Sparse Coding with Sample-Dependent Dictionary


Jun 07, 2018
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni

* Accepted by ICML-2018 

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Scalable Online Convolutional Sparse Coding


Nov 02, 2017
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni


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