| Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review J Su, C Jiang, X Jin, Y Qiao, T Xiao, H Ma, R Wei, Z Jing, J Xu, J Lin arXiv preprint arXiv:2402.10350, 2024 | 48 | 2024 |
| Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis T Xiao, L Zeng, X Shi, X Zhu, G Wu MICCAI 2022 (Oral Paper & Student Travel Award): International Conference on …, 2022 | 27 | 2022 |
| Graph convolutional network with sample and feature weights for Alzheimer’s disease diagnosis L Zeng, H Li, T Xiao, F Shen, Z Zhong Information Processing & Management 59 (4), 102952, 2022 | 21 | 2022 |
| MRMRP: multi-source review-based model for rating prediction X Wang, T Xiao, J Tan, D Ouyang, J Shao DASFAA 2020: International Conference on Database Systems for Advanced …, 2020 | 17 | 2020 |
| A hierarchical spatial transformer for massive point samples in continuous space W He, Z Jiang, T Xiao, Z Xu, S Chen, R Fick, M Medina, C Angelini NeurIPS 2023: Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| EMRM: Enhanced Multi-source Review-Based Model for Rating Prediction X Wang, T Xiao, J Shao KSEM 2021: International Conference on Knowledge Science, Engineering and …, 2021 | 11 | 2021 |
| Spatial knowledge-infused hierarchical learning: An application in flood mapping on earth imagery Z Xu, T Xiao, W He, Y Wang, Z Jiang SIGSPATIAL 2023 (Best Paper Award): Proceedings of the 31st ACM …, 2023 | 8 | 2023 |
| M-GCN: Multi-scale Graph Convolutional Network for 3D Point Cloud Classification J Hu, X Wang, Z Liao, T Xiao ICME 2023: IEEE International Conference on Multimedia and Expo 2023, 924-929, 2023 | 8 | 2023 |
| XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction T Xiao, Z Xu, W He, J Su, Y Zhang, R Opoku, R Ison, J Petho, J Bian, ... arXiv preprint arXiv:2402.02258, 2024 | 4 | 2024 |
| Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery Z Xu, T Xiao, W He, Y Wang, Z Jiang, S Chen, Y Xie, X Jia, D Yan, Y Zhou AAAI 2024 (Oral Paper):Proceedings of the AAAI Conference on Artificial …, 2024 | 2 | 2024 |
| Infusing Spatial Knowledge into Deep Learning for Earth Science: A Hydrological Application Z Xu, T Xiao, W He, Y Wang, Z Jiang NeurIPS 2023 AI for Science Workshop, 2023 | 1 | 2023 |
