Tingxiong Xiao

According to our database1, Tingxiong Xiao authored at least 9 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
HOPE: High-Order Polynomial Expansion of Black-Box Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series.
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.
CoRR, 2023

SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations.
CoRR, 2023

CUTS: Neural Causal Discovery from Irregular Time-Series Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TINC: Tree-structured Implicit Neural Compression.
CoRR, 2022


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