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)

Generalized Activation via Multivariate Projection. - Jiayun Li; Yuxiao Cheng; Zhuofan Xia; Yilin Mo; Gao Huang 001 (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)

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)

INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-Blind Image Deblurring in Low-Light Conditions. - Zhihong Zhang 004; Yuxiao Cheng; Jinli Suo; Liheng Bian; Qionghai Dai (IEEE Trans. Image Process., 2023)

A mutually boosting dual sensor computational camera for high quality dark videography. - Yuxiao Cheng; Runzhao Yang; Zhihong Zhang 004; Jinli Suo; Qionghai Dai (Inf. Fusion, 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)

Real-Time Sketching of Harshly Lit Driving Environment Perception by Neuromorphic Sensing. - Yuqi Han; Jinli Suo; Bo Zhang 109; Jiachen Zhao; Yuxiao Cheng; Qionghai Dai (IEEE Trans. Intell. Veh., 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)

From ReLU to GeMU: Activation functions in the lens of cone projection. - Jiayun Li; Yuxiao Cheng; Yiwen Lu; Zhuofan Xia; Yilin Mo; Gao Huang 001 (Neural Networks, 2025)

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care. - Yuxiao Cheng; Xinxin Song 001; Ziqian Wang; Qin Zhong; Kunlun He; Jinli Suo (CoRR, 2025)

Lightweight High-Speed Photography Built on Coded Exposure and Implicit Neural Representation of Videos. - Zhihong Zhang 004; Runzhao Yang; Jinli Suo; Yuxiao Cheng; Qionghai Dai (Int. J. Comput. Vis., 2025)