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Wenqian Dong

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TimeX++: Learning Time-Series Explanations with Information Bottleneck

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May 15, 2024
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

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PAC Learnability under Explanation-Preserving Graph Perturbations

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Feb 07, 2024
Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo

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CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning

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Nov 22, 2023
Yaqi Liu, Chao Xia, Song Xiao, Qingxiao Guan, Wenqian Dong, Yifan Zhang, Nenghai Yu

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HurriCast: An Automatic Framework Using Machine Learning and Statistical Modeling for Hurricane Forecasting

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Sep 12, 2023
Shouwei Gao, Meiyan Gao, Yuepeng Li, Wenqian Dong

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Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation

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Aug 26, 2020
Wenqian Dong, Jie Liu, Zhen Xie, Dong Li

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Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation

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Aug 26, 2020
Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li

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A Preliminary Study of Neural Network-based Approximation for HPC Applications

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Dec 18, 2018
Wenqian Dong, Anzheng Guolu, Dong Li

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