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XU HAN
XU HAN
PhD student, Tufts University
Adresse e-mail validée de tufts.edu
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Année
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
1032022
GAN Ensemble for Anomaly Detection
X Han, X Chen, LP Liu
AAAI Conference on Artificial Intelligence (AAAI 2021), 2020
922020
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
572023
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
332021
Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation
H Gao, X Han, X Fan, L Sun, LP Liu, L Duan, JX Wang
Computer Methods in Applied Mechanics and Engineering 427, 117023, 2024
152024
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
102023
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
102023
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
92022
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
X Han, C Shan, Y Shen, C Xu, H Yang, X Li, D Li
The Twelfth International Conference on Learning Representations, 2023
72023
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning
L Liu, X Han, D Zhou, LP Liu
TMLR, 2022
52022
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