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Hongzhi Wang

Habin Institute of Technology

TENSILE: A Tensor granularity dynamic GPU memory scheduler method towards multiple dynamic workloads system


May 28, 2021
Kaixin Zhang, Hongzhi Wang, Tongxin Li, Han Hu, Jiye Qiu, Songling Zou


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FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search


Apr 09, 2021
Chunnan Wang, Bozhou Chen, Geng Li, Hongzhi Wang

* 10 pages 

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Approximate Query Processing for Group-By Queries based on Conditional Generative Models


Jan 08, 2021
Meifan Zhang, Hongzhi Wang


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Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results


Oct 15, 2020
Chunnan Wang, Kaixin Zhang, Hongzhi Wang, Bozhou Chen


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EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective


Oct 11, 2020
Zhaochong An, Bozhou Chen, Houde Quan, Qihui Lin, Hongzhi Wang


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Automatic Storage Structure Selection for hybrid Workload


Aug 15, 2020
Hongzhi Wang, Yan Wei, Hao Yan


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Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network


Jul 07, 2020
Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang


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Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation


Jul 06, 2020
Chunnan Wang, Hongzhi Wang, Guocheng Feng, Fei Geng

* 11pages 

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Index Selection for NoSQL Database with Deep Reinforcement Learning


Jun 16, 2020
Shun Yao, Hongzhi Wang, Yu Yan


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Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation


Apr 20, 2020
John Paul Francis, Hongzhi Wang, Kate White, Tanveer Syeda-Mahmood, Raymond Stevens


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ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence


Apr 09, 2020
Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng, Shirong Liu

* 10 pages, 5 figures 

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LAQP: Learning-based Approximate Query Processing


Mar 05, 2020
Meifan Zhang, Hongzhi Wang


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Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters


Mar 03, 2020
Bozhou Chen, Kaixin Zhang, Longshen Ou, Chenmin Ba, Hongzhi Wang, Chunnan Wang


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ExperienceThinking: Hyperparameter Optimization with Budget Constraints


Dec 02, 2019
Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao


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Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem


Oct 24, 2019
Chunnan Wang, Hongzhi Wang, Tianyu Mu, Jianzhong Li, Hong Gao

* 12 pages, 3 figures 

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Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation


Aug 27, 2019
Xi Chen, Hongzhi Wang, Yanjie Wei, Jianzhong Li, Hong Gao


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A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics


Aug 22, 2019
Hongzhi Wang, Yijie Yang, Yang Song


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LSTM-based Flow Prediction


Aug 09, 2019
Hongzhi Wang, Yang Song, Shihan Tang

* 8 pages, 11 figures 

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Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays


Jul 25, 2019
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer Syeda-Mahmood

* Accepted to Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019; Data available: ML-CDS Challenge, MICCAI2019 (http://www.mcbr-cds.org/challenge/challenge-description.html

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Error Detection in a Large-Scale Lexical Taxonomy


Aug 05, 2018
Sifan Liu, Hongzhi Wang


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Predicting Learning Status in MOOCs using LSTM


Aug 05, 2018
Zhemin Liu, Feng Xiong, Kaifa Zou, Hongzhi Wang

* arXiv admin note: text overlap with arXiv:1402.1128 by other authors 

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Impacts of Dirty Data: and Experimental Evaluation


Mar 16, 2018
Zhixin Qi, Hongzhi Wang, Jianzhong Li, Hong Gao

* 22 pages, 192 figures 

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Hierarchical Siamese Network for Thermal Infrared Object Tracking


Nov 27, 2017
Qiao Liu, Zhenyu He, Hongzhi Wang, Xin Li

* 11 pages, 6 figures 

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A Hybrid Solution to improve Iteration Efficiency in the Distributed Learning


Nov 24, 2014
Junxiong Wang, Hongzhi Wang, Chenxu Zhao

* Unfinished job, with completed mathematical proof while experiments are in process now. We plan to submit this paper to icml2015 

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