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EEML: Ensemble Embedded Meta-learning


Jun 18, 2022
Geng Li, Boyuan Ren, Hongzhi Wang


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FIND:Explainable Framework for Meta-learning


May 20, 2022
Xinyue Shao, Hongzhi Wang, Xiao Zhu, Feng Xiong


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AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning


Mar 26, 2022
Chunnan Wang, Xingyu Chen, Chengyue Wu, Hongzhi Wang

* 11 pages 

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AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy


Jan 24, 2022
Chunnan Wang, Hongzhi Wang, Xiangyu Shi


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TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model


Jan 09, 2022
Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang

* 14 pages, 7 figures 

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Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion


Dec 10, 2021
Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer Syeda-Mahmood

* Accepted by the NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning 

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Search For Deep Graph Neural Networks


Sep 21, 2021
Guosheng Feng, Chunnan Wang, Hongzhi Wang


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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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