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A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction

Aug 20, 2020
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai

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Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

May 12, 2020
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

* accepted by IJCAI 2020 

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Fast Reinforcement Learning for Anti-jamming Communications

Feb 13, 2020
Pei-Gen Ye, Yuan-Gen Wang, Jin Li, Liang Xiao

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Controllable List-wise Ranking for Universal No-reference Image Quality Assessment

Jan 06, 2020
Fu-Zhao Ou, Yuan-Gen Wang, Jin Li, Guopu Zhu, Sam Kwong

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Universal Transforming Geometric Network

Aug 02, 2019
Jin Li

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Double Adaptive Stochastic Gradient Optimization

Nov 06, 2018
Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski

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Security Matters: A Survey on Adversarial Machine Learning

Oct 23, 2018
Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen

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A Real-time Robotic Grasp Approach with Oriented Anchor Box

Sep 18, 2018
Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng

* arXiv admin note: text overlap with arXiv:1803.02209 

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Zero-Shot Learning by Generating Pseudo Feature Representations

Mar 19, 2017
Jiang Lu, Jin Li, Ziang Yan, Changshui Zhang

* Pattern Recognition, Volume 80, August 2018, Pages 129-142 
* 9 pages 

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Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm

Feb 28, 2017
Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang

* 9 pages 

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Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization

May 15, 2015
Zhihua Zhang, Jin Li

* Bayesian Analysis 2015, Vol. 10, No. 2, 247-274 
* Published at in the Bayesian Analysis ( by the International Society of Bayesian Analysis (

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