关注
XU HAN
XU HAN
PhD student, Tufts University
在 tufts.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
GAN Ensemble for Anomaly Detection
X Han, X Chen, LP Liu
AAAI Conference on Artificial Intelligence (AAAI 2021), 2020
702020
Predicting Physics in Mesh-reduced Space with Temporal Attention
X Han, H Gao, T Pfaff, JX Wang, LP Liu
International Conference on Learning Representations (ICLR 2022), 2022
682022
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
X Chen, X Han, J Hu, FJR Ruiz, L Liu
International Conference on Machine Learning (ICML 2021), 2021
302021
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
X Chen, J He, X Han, LP Liu
International Conference on Machine Learning (ICML 2023), 2023
222023
Fitting autoregressive graph generative models through maximum likelihood estimation
X Han, X Chen, FJR Ruiz, LP Liu
Journal of Machine Learning Research 24 (97), 1-30, 2023
52023
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning
L Liu, X Han, D Zhou, LP Liu
TMLR, 2022
52022
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
H Gao, X Han, J Huang, JX Wang, LP Liu
Learning on Graphs Conference (LoG2022), 2022
42022
Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation
H Gao, X Han, X Fan, L Sun, LP Liu, L Duan, JX Wang
arXiv preprint arXiv:2311.07896, 2023
32023
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
L Sun, X Han, H Gao, JX Wang, L Liu
Conference on Neural Information Processing Systems (Neurips 2023), 2023
22023
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