Yuxiao Cheng

According to our database, Yuxiao Cheng authored at least 22 papers between 2022 and 2026.

Collaborative distances:

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

2026

COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series.

Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Self-explainable Model of Long Time Series by Extracting Informative Structured Causal Patterns.

Ziqian Wang, Yuxiao Cheng, Jinli Suo

CoRR, December, 2025

OpenLens AI: Fully Autonomous Research Agent for Health Infomatics.

Yuxiao Cheng, Jinli Suo

CoRR, September, 2025

Lightweight High-Speed Photography Built on Coded Exposure and Implicit Neural Representation of Videos.

Zhihong Zhang, Runzhao Yang, Jinli Suo, Yuxiao Cheng, Qionghai Dai

Int. J. Comput. Vis., March, 2025

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care.

Yuxiao Cheng, Xinxin Song, Ziqian Wang, Qin Zhong, Kunlun He, Jinli Suo

CoRR, February, 2025

From ReLU to GeMU: Activation functions in the lens of cone projection.

Jiayun Li, Yuxiao Cheng, Yiwen Lu, Zhuofan Xia, Yilin Mo, Gao Huang

Neural Networks, 2025

FIND: A Framework for Discovering Formulas in Data.

Tingxiong Xiao, Yuxiao Cheng, Jinli Suo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Real-Time Sketching of Harshly Lit Driving Environment Perception by Neuromorphic Sensing.

Yuqi Han, Jinli Suo, Bo Zhang, Jiachen Zhao, Yuxiao Cheng, Qionghai Dai

IEEE Trans. Intell. Veh., December, 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 mutually boosting dual sensor computational camera for high quality dark videography.

Yuxiao Cheng, Runzhao Yang, Zhihong Zhang, Jinli Suo, Qionghai Dai

Inf. Fusion, May, 2023

INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-Blind Image Deblurring in Low-Light Conditions.

Zhihong Zhang, Yuxiao Cheng, Jinli Suo, Liheng Bian, Qionghai Dai

IEEE Trans. Image Process., 2023

Retrieving Object Motions From Coded Shutter Snapshot in Dark Environment.

Kaiming Dong, Yuchen Guo, Runzhao Yang, Yuxiao Cheng, Jinli Suo, Qionghai Dai

IEEE Trans. Image Process., 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

Generalized Activation via Multivariate Projection.

Jiayun Li, Yuxiao Cheng, Zhuofan Xia, Yilin Mo, Gao Huang

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