Guojiang Zhao
Guojiang Zhao
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Exploring Generative Neural Temporal Point Process
H Lin, L Wu, G Zhao, P Liu, SZ Li
Transactions on Machine Learning Research, 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
arXiv preprint arXiv:2210.16848, 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, 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
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
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
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
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
STONet: A Neural-Operator-Driven Spatio-temporal Network
H Lin, G Zhao, L Wu, SZ Li
arXiv preprint arXiv:2204.08414, 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
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