Xu Han

15 papers A* 5Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation.
CoRR
Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang
2023 A* conf
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling.
ICML
Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu
2023 J jnl
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling.
CoRR
Xiaohui Chen, Jiaxing He, Xu Han, Li-Ping Liu
2023 J jnl
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation.
J. Mach. Learn. Res.
Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu
2023 A* conf
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model.
NeurIPS
Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu
2022 — conf
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations.
LoG
Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu
2022 J jnl
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations.
CoRR
Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Li-Ping Liu
2022 A* conf
Predicting Physics in Mesh-reduced Space with Temporal Attention.
ICLR
Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu
2022 J jnl
Predicting Physics in Mesh-reduced Space with Temporal Attention.
CoRR
Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu
2022 J jnl
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning.
CoRR
Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu
2022 J jnl
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning.
Trans. Mach. Learn. Res.
Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu
2021 A* conf
GAN Ensemble for Anomaly Detection.
AAAI
Xu Han, Xiaohui Chen, Li-Ping Liu
2021 A* conf
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation.
ICML
Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu
2021 J jnl
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation.
CoRR
Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu
2020 J jnl
GAN Ensemble for Anomaly Detection.
CoRR
Xu Han, Xiaohui Chen, Li-Ping Liu