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Towards Interpretable Deep Learning Models for Knowledge Tracing

May 13, 2020
Yu Lu, Deliang Wang, Qinggang Meng, Penghe Chen


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Object Instance Mining for Weakly Supervised Object Detection

Feb 04, 2020
Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang


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C-DLinkNet: considering multi-level semantic features for human parsing

Jan 31, 2020
Yu Lu, Muyan Feng, Ming Wu, Chuang Zhang


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Learning Efficient Video Representation with Video Shuffle Networks

Nov 26, 2019
Pingchuan Ma, Yao Zhou, Yu Lu, Wei Zhang


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Optimal Estimation and Completion of Matrices with Biclustering Structures

Oct 22, 2018
Chao Gao, Yu Lu, Zongming Ma, Harrison H. Zhou


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Provably Optimal Algorithms for Generalized Linear Contextual Bandits

Jun 18, 2017
Lihong Li, Yu Lu, Dengyong Zhou

* Published at ICML 2017 

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Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants

Dec 07, 2016
Yu Lu, Harrison H. Zhou


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Exact Exponent in Optimal Rates for Crowdsourcing

May 26, 2016
Chao Gao, Yu Lu, Dengyong Zhou

* To appear in the Proceedings of the 33rd International Conference on Machine Learning, New York, NY, USA, 2016 

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Linearly Supporting Feature Extraction For Automated Estimation Of Stellar Atmospheric Parameters

Apr 10, 2015
Xiangru Li, Yu Lu, Georges Comte, Ali Luo, Yongheng Zhao, Yongjun Wang

* 21 pages, 7 figures, 8 tables, The Astrophysical Journal Supplement Series (accepted for publication) 

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Individualized Rank Aggregation using Nuclear Norm Regularization

Oct 03, 2014
Yu Lu, Sahand N. Negahban


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