| Using context-to-vector with graph retrofitting to improve word embeddings J Zheng, Y Wang, G Wang, J Xia, Y Huang, G Zhao, Y Zhang, SZ Li arXiv preprint arXiv:2210.16848, 2022 | 16 | 2022 |
| Deep clustering and visualization for end-to-end high-dimensional data analysis L Wu, L Yuan, G Zhao, H Lin, SZ Li IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8543-8554, 2022 | 14 | 2022 |
| Exploring Generative Neural Temporal Point Process H Lin, L Wu, G Zhao, P Liu, SZ Li Transactions on Machine Learning Research, 2022 | 13* | 2022 |
| Teaching yourself: Graph self-distillation on neighborhood for node classification L Wu, J Xia, H Lin, Z Gao, Z Liu, G Zhao, SZ Li arXiv preprint arXiv:2210.02097, 2022 | 6 | 2022 |
| Non-equispaced fourier neural solvers for pdes H Lin, L Wu, Y Xu, Y Huang, S Li, G Zhao, SZ Li arXiv preprint arXiv:2212.04689, 2022 | 5 | 2022 |
| Uni-qsar: an auto-ml tool for molecular property prediction Z Gao, X Ji, G Zhao, H Wang, H Zheng, G Ke, L Zhang arXiv preprint arXiv:2304.12239, 2023 | 2 | 2023 |
| A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation L Wu, H Lin, Z Gao, G Zhao, SZ Li IEEE Transactions on Knowledge and Data Engineering, 2024 | 1 | 2024 |
| CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph H Lin, G Zhao, O Zhang, Y Huang, L Wu, Z Liu, S Li, C Tan, Z Gao, SZ Li arXiv preprint arXiv:2406.10840, 2024 | | 2024 |
| Non-equispaced Fourier Neural Solvers for PDEs H Lin, L Wu, Y Xu, Y Huang,G Zhao, SZ Li ICLR 2023 Workshop on Physics for Machine Learning, 2023 | | 2023 |
| STONet: A Neural-Operator-Driven Spatio-temporal Network H Lin, G Zhao, L Wu, SZ Li arXiv preprint arXiv:2204.08414, 2022 | | 2022 |
| Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings J Zheng, Y Wang, G Wang, J Xia, Y Huang, G Zhao, Y Zhang, SZ Li ACL 2022, 2022 | | 2022 |
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationVerified email at westlake.edu.cn
