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Zhe Jiang

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SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models

Feb 05, 2024
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu

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XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction

Feb 03, 2024
Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald Ison, Jason Petho, Jiang Bian, Patrick Tighe, Parisa Rashidi, Zhe Jiang

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Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting

Dec 17, 2023
Dawei Yang, Ning He, Xing Hu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang

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Morphological Profiling for Drug Discovery in the Era of Deep Learning

Dec 13, 2023
Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li

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Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery

Dec 12, 2023
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang

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A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space

Nov 08, 2023
Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini

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Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities

Nov 04, 2023
Wenchong He, Zhe Jiang

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Deep Learning for Spatiotemporal Big Data: A Vision on Opportunities and Challenges

Oct 30, 2023
Zhe Jiang

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A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective

Mar 03, 2023
Wenchong He, Zhe Jiang

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