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Autonomous Driving Simulator based on Neurorobotics Platform


Dec 31, 2022
Wei Cao, Liguo Zhou, Yuhong Huang, Alois Knoll

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* 25 pages, 8 figures 

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OpenFE: Automated Feature Generation beyond Expert-level Performance


Nov 22, 2022
Tianping Zhang, Zheyu Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Wei Cao, Jian Li

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* 23 pages, 3 figures 

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Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures


Jul 04, 2022
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li

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* datasets and code: https://tinyurl.com/5993cmus 

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Family of Two Dimensional Transition Metal Dichlorides Fundamental Properties, Structural Defects, and Environmental Stability


Apr 29, 2022
Andrey A. Kistanov, Stepan A. Shcherbinin, Romain Botella, Artur Davletshin, Wei Cao

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DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting


Mar 15, 2022
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

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* ICLR22 Spotlight 

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Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning


Nov 24, 2021
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

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* 14 pages, 4 tables, 11 figures 

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IMBENS: Ensemble Class-imbalanced Learning in Python


Nov 24, 2021
Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang

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* 6 pages, 2 tables, 1 figure 

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Pinpointing the Memory Behaviors of DNN Training


Apr 01, 2021
Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng

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* Submitted to ISPASS'21 poster 

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Forecast with Forecasts: Diversity Matters


Dec 18, 2020
Yanfei Kang, Wei Cao, Fotios Petropoulos, Feng Li

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* 23 pages, 4 figures, 4 tables 

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