TINC: Tree-structured Implicit Neural Compression. - Runzhao Yang; Tingxiong Xiao; Yuxiao Cheng; Jinli Suo; Qionghai Dai (CoRR, 2022)

SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data. - Runzhao Yang; Tingxiong Xiao; Yuxiao Cheng; Qianni Cao; Jinyuan Qu; Jinli Suo; Qionghai Dai (AAAI, 2023)

CUTS: Neural Causal Discovery from Irregular Time-Series Data. - Yuxiao Cheng; Runzhao Yang; Tingxiong Xiao; Zongren Li; Jinli Suo; Kunlun He; Qionghai Dai (ICLR, 2023)

SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations. - Tingxiong Xiao; Runzhao Yang; Yuxiao Cheng; Jinli Suo; Qionghai Dai (CoRR, 2023)

A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging. - Ruoran Li; Runzhao Yang; Wenxin Xiang; Yuxiao Cheng; Tingxiong Xiao; Jinli Suo (CoRR, 2023)

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. - Yuxiao Cheng; Lianglong Li; Tingxiong Xiao; Zongren Li; Jinli Suo; Kunlun He; Qionghai Dai (AAAI, 2024)

SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations. - Tingxiong Xiao; Runzhao Yang; Yuxiao Cheng; Jinli Suo (AAAI, 2024)

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. - Yuxiao Cheng; Ziqian Wang; Tingxiong Xiao; Qin Zhong; Jinli Suo; Kunlun He (ICLR, 2024)

HOPE: High-Order Polynomial Expansion of Black-Box Neural Networks. - Tingxiong Xiao; Weihang Zhang; Yuxiao Cheng; Jinli Suo (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging. - Ruoran Li; Runzhao Yang; Wenxin Xiang; Yuxiao Cheng; Tingxiong Xiao; Lu Yang; Jinli Suo (AAAI, 2025)

FIND: A Framework for Discovering Formulas in Data. - Tingxiong Xiao; Yuxiao Cheng; Jinli Suo (AAAI, 2025)