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Self-supervised Representation Learning for Trip Recommendation



Qiang Gao , Wei Wang , Kunpeng Zhang , Xin Yang , Congcong Miao

* 8 pages 

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Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization



Chujie Zheng , Kunpeng Zhang , Harry Jiannan Wang , Ling Fan , Zhe Wang


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CCGL: Contrastive Cascade Graph Learning



Xovee Xu , Fan Zhou , Kunpeng Zhang , Siyuan Liu

* Submitted to IEEE, including 14 pages, 7 figures, and 11 tables 

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Graph Neural Network Based VC Investment Success Prediction



Shiwei Lyu , Shuai Ling , Kaihao Guo , Haipeng Zhang , Kunpeng Zhang , Suting Hong , Qing Ke , Jinjie Gu

* 11pages, 5figures 

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Weighting-Based Treatment Effect Estimation via Distribution Learning



Dongcheng Zhang , Kunpeng Zhang

* 33 pages, 16 tables, 7 figures, Github: https://github.com/DLweighting/Distribution-Learning-based-weighting 

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A Two-Phase Approach for Abstractive Podcast Summarization



Chujie Zheng , Kunpeng Zhang , Harry Jiannan Wang , Ling Fan

* TREC 2020 Podcasts Track 

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Topic-Aware Abstractive Text Summarization



Chujie Zheng , Kunpeng Zhang , Harry Jiannan Wang , Ling Fan


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A Baseline Analysis for Podcast Abstractive Summarization



Chujie Zheng , Harry Jiannan Wang , Kunpeng Zhang , Ling Fan

* Accepted for PodRecs: The Workshop on Podcast Recommendations (online), 25th September 2020 

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A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances



Fan Zhou , Xovee Xu , Goce Trajcevski , Kunpeng Zhang

* Fix typos; 41 pages, 9 figures, 12 tables; 

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