Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning. - Maximilian Schambach; Jiayang Shi; Michael Heizmann (3DV, 2021)

SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap. - Jiayang Shi; Daniël Maria Pelt; Kees Joost Batenburg (MLMI@MICCAI (1), 2023)

Graph Neural Network based Log Anomaly Detection and Explanation. - Zhong Li 002; Jiayang Shi; Matthijs van Leeuwen (CoRR, 2023)

Multi-stage Deep Learning Artifact Reduction for Computed Tomography. - Jiayang Shi; Daniël Maria Pelt; Kees Joost Batenburg (CoRR, 2023)

Graph Neural Networks based Log Anomaly Detection and Explanation. - Zhong Li 002; Jiayang Shi; Matthijs van Leeuwen (ICSE Companion, 2024)

Results of the Big ANN: NeurIPS'23 competition. - Harsha Vardhan Simhadri; Martin Aumüller 001; Amir Ingber; Matthijs Douze; George Williams; Magdalen Dobson Manohar; Dmitry Baranchuk; Edo Liberty; Frank Liu 007; Benjamin Landrum; Mazin Karjikar; Laxman Dhulipala; et al. (CoRR, 2024)

Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. - Jiayang Shi; Junyi Zhu 002; Daniël Maria Pelt; Kees Joost Batenburg; Matthew B. Blaschko (Trans. Mach. Learn. Res., 2024)

Navigating Labels and Vectors: A Unified Approach to Filtered Approximate Nearest Neighbor Search. - Yuzheng Cai; Jiayang Shi; Yizhuo Chen; Weiguo Zheng (Proc. ACM Manag. Data, 2024)

Cross-Domain Graph Level Anomaly Detection. - Zhong Li 002; Sheng Liang; Jiayang Shi; Matthijs van Leeuwen (IEEE Trans. Knowl. Data Eng., 2024)

Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions. - Zhong Li 002; Qi Huang; Lincen Yang; Jiayang Shi; Zhao Yang; Niki van Stein; Thomas Bäck; Matthijs van Leeuwen (CoRR, 2025)