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Honglei Zhuang

Distilling Interpretable Models into Human-Readable Code


Feb 09, 2021
Walker Ravina, Ethan Sterling, Olexiy Oryeshko, Nathan Bell, Honglei Zhuang, Xuanhui Wang, Yonghui Wu, Alexander Grushetsky

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* 13 pages, Latex; Updated the introduction and preliminaries sections; Updated some figures for greater clarity and brevity; Added a new dataset to the experiments; Added a more detailed table of experiment results; Added a discussion of distillation failures to the experiments relating to the new dataset 
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What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education


Dec 03, 2020
Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li

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RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble


Oct 01, 2020
Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith Hall, Ryan McDonald

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* 14 pages 
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Interpretable Learning-to-Rank with Generalized Additive Models


May 14, 2020
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian

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* 10 pages 
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Adaptive Double-Exploration Tradeoff for Outlier Detection


May 13, 2020
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou

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Separate and Attend in Personal Email Search


Nov 21, 2019
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler

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* WSDM 2020 
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Spherical Text Embedding


Nov 04, 2019
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han

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* NeurIPS 2019. (Code: https://github.com/yumeng5/Spherical-Text-Embedding) 
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PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks


Jun 05, 2017
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han

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* 10 pages. In Proceedings of the 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, ACM, 2017 
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