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Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction


Aug 16, 2021
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

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* 11 pages (2 pages of supplementary), 10 figures, 7 tables. Accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) 

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A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation


Oct 23, 2020
Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen

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* Source code is available at: https://github.com/dinghanshen/cutoff 

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CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding


Oct 16, 2020
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen

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Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning


Sep 30, 2020
Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han

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* EMNLP 2020 

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GIKT: A Graph-based Interaction Model for Knowledge Tracing


Sep 13, 2020
Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu

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* 16 pages,2 figures, ECMLPKDD2020 

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Dynamically Fused Graph Network for Multi-hop Reasoning


Jun 06, 2019
Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu

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* Accepted by ACL 19 

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TGE-PS: Text-driven Graph Embedding with Pairs Sampling


Sep 12, 2018
Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu

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Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data


Jul 01, 2018
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He

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