| Cuts: Neural causal discovery from irregular time-series data Y Cheng, R Yang, T Xiao, Z Li, J Suo, K He, Q Dai arXiv preprint arXiv:2302.07458, 2023 | 15 | 2023 |
| Sci: A spectrum concentrated implicit neural compression for biomedical data R Yang, T Xiao, Y Cheng, Q Cao, J Qu, J Suo, Q Dai Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4774-4782, 2023 | 12 | 2023 |
| CUTS+: High-dimensional causal discovery from irregular time-series Y Cheng, L Li, T Xiao, Z Li, J Suo, K He, Q Dai Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11525 …, 2024 | 6 | 2024 |
| Tinc: Tree-structured implicit neural compression R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Tinc: Tree-structured implicit neural compression R Yang, T Xiao, Y Cheng, J Suo, Q Dai arXiv preprint arXiv:2211.06689, 2022 | 3 | 2022 |
| Sharing Massive Biomedical Data at Magnitudes Lower Bandwidth Using Implicit Neural Function R Yang, T Xiao, Y Cheng, A Li, J Qu, R Liang, S Bao, X Wang, J Wang, ... bioRxiv, 2022.12. 03.518948, 2022 | 2 | 2022 |
| Shop: A deep learning framework for solving high-order partial differential equations T Xiao, R Yang, Y Cheng, J Suo Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16032 …, 2024 | 1 | 2024 |
| CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery Y Cheng, Z Wang, T Xiao, Q Zhong, J Suo, K He arXiv preprint arXiv:2310.01753, 2023 | 1 | 2023 |
| A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging R Li, R Yang, W Xiang, Y Cheng, T Xiao, J Suo arXiv preprint arXiv:2312.00082, 2023 | | 2023 |
| HOPE: High-order Polynomial Expansion of Black-box Neural Networks T Xiao, W Zhang, Y Cheng, J Suo arXiv preprint arXiv:2307.08192, 2023 | | 2023 |
