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Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem


Dec 28, 2020
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-min Li

* Accepted by AAAI 2021 

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Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem


Jan 22, 2020
Kun He, Min Zhang, Jianrong Zhou, Yan Jin, Chu-min Li

* 7 pages, 2 figures, 3 tables 

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Effective reinforcement learning based local search for the maximum k-plex problem


Mar 13, 2019
Yan Jin, John H. Drake, Una Benlic, Kun He


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KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction


May 02, 2018
Hengyi Cai, Xingguang Ji, Yonghao Song, Yan Jin, Yang Zhang, Mairgup Mansur, Xiaofang Zhao

* 7 pages, 3 figures 

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Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion


Nov 29, 2017
Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang

* Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) 

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Prognostics of Surgical Site Infections using Dynamic Health Data


Nov 12, 2016
Chuyang Ke, Yan Jin, Heather Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang

* 23 pages, 8 figures 

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