| Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding Z Li, Y Zhao, J Han, Y Su, R Jiao, X Wen, D Pei Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 253 | 2021 |
| Unsupervised detection of microservice trace anomalies through service-level deep bayesian networks P Liu, H Xu, Q Ouyang, R Jiao, Z Chen, S Zhang, J Yang, L Mo, J Zeng, ... 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 178 | 2020 |
| Practical root cause localization for microservice systems via trace analysis Z Li, J Chen, R Jiao, N Zhao, Z Wang, S Zhang, Y Wu, L Jiang, L Yan, ... 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021 | 102 | 2021 |
| Crystal structure prediction by joint equivariant diffusion R Jiao, W Huang, P Lin, J Han, P Chen, Y Lu, Y Liu Advances in Neural Information Processing Systems 36, 17464-17497, 2023 | 58* | 2023 |
| Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs R Jiao, J Han, W Huang, Y Rong, Y Liu AAAI Conference on Artificial Intelligence (AAAI 2023), 2022 | 55* | 2022 |
| Space group constrained crystal generation R Jiao, W Huang, Y Liu, D Zhao, Y Liu arXiv preprint arXiv:2402.03992, 2024 | 22 | 2024 |
| Interpretable graph transformer network for predicting adsorption isotherms of metal–organic frameworks P Chen, R Jiao, J Liu, Y Liu, Y Lu Journal of Chemical Information and Modeling 62 (22), 5446-5456, 2022 | 19 | 2022 |
| A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications J Han, J Cen, L Wu, Z Li, X Kong, R Jiao, Z Yu, T Xu, F Wu, Z Wang, H Xu, ... arXiv preprint arXiv:2403.00485, 2024 | 15 | 2024 |
| Alternated training with synthetic and authentic data for neural machine translation R Jiao, Z Yang, M Sun, Y Liu Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 10 | 2021 |
| Equivariant Diffusion for Crystal Structure Prediction P Lin, P Chen, R Jiao, Q Mo, C Jianhuan, W Huang, Y Liu, D Huang, Y Lu Forty-first International Conference on Machine Learning, 0 | 5 | |
| Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules R Jiao, X Kong, Z Yu, W Huang, Y Liu arXiv preprint arXiv:2402.12714, 2024 | | 2024 |
Jiaqi HanStanford UniversityVerified email at stanford.edu