Xu Han

According to our database, Xu Han authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation.

Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu

J. Mach. Learn. Res., 2023

Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation.

Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang

CoRR, 2023

Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model.

Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling.

Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning.

Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu

Trans. Mach. Learn. Res., 2022

PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations.

Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu

Proceedings of the Learning on Graphs Conference, 2022

Predicting Physics in Mesh-reduced Space with Temporal Attention.

Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation.

Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

GAN Ensemble for Anomaly Detection.

Xu Han, Xiaohui Chen, Li-Ping Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021