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Tingxiong Xiao

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A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging

Nov 30, 2023
Ruoran Li, Runzhao Yang, Wenxin Xiang, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo

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CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

Oct 03, 2023
Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He

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HOPE: High-order Polynomial Expansion of Black-box Neural Networks

Jul 17, 2023
Tingxiong Xiao, Weihang Zhang, Yuxiao Cheng, Jinli Suo

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SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations

May 17, 2023
Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo, Qionghai Dai

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CUTS+: High-dimensional Causal Discovery from Irregular Time-series

May 10, 2023
Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai

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CUTS: Neural Causal Discovery from Irregular Time-Series Data

Feb 15, 2023
Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai

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TINC: Tree-structured Implicit Neural Compression

Nov 17, 2022
Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Jinli Suo, Qionghai Dai

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SCI: A spectrum concentrated implicit neural compression for biomedical data

Sep 30, 2022
Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai

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