Tingxiong Xiao

According to our database, Tingxiong Xiao authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FIND: A Framework for Discovering Formulas in Data.

Tingxiong Xiao, Yuxiao Cheng, Jinli Suo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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., December, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

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

Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo, Qionghai Dai

CoRR, 2023

CUTS: Neural Causal Discovery from Irregular Time-Series Data.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TINC: Tree-structured Implicit Neural Compression.

Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Jinli Suo, Qionghai Dai

CoRR, 2022