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ExamGAN and Twin-ExamGAN for Exam Script Generation


Aug 22, 2021
Zhengyang Wu, Ke Deng, Judy Qiu, Yong Tang


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Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity


May 17, 2021
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng

* Accepted for IEEE Intelligent Vehicles 2021 

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Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios


May 17, 2021
Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng

* Accepted for IEEE Intelligent Vehicles 2021 

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A Knowledge Graph based Approach for Mobile Application Recommendation


Sep 18, 2020
Mingwei Zhang, Jiawei Zhao, Hai Dong, Ke Deng, Ying Liu

* 15 pages. The 18th International Conference on Service Oriented Computing (ICSOC 2020) (2020) 

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Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization


Jul 20, 2020
Yang Yang, Ke Deng, Michael Zhu


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NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques


Nov 13, 2019
Wenlei Bao, Li-Wen Chang, Yang Chen, Ke Deng, Amit Agarwal, Emad Barsoum, Abe Taha

* Comments: performance figure updated, experiments added, formula corrected, references added 

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An Improved Historical Embedding without Alignment


Oct 19, 2019
Xiaofei Xu, Ke Deng, Fei Hu, Li Li

* 9 pages, 5 figures, conference 

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DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data


Apr 06, 2017
Zhe Sun, Ting Wang, Ke Deng, Xiao-Feng Wang, Robert Lafyatis, Ying Ding, Ming Hu, Wei Chen


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