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Xu Han 0012
Person information
- affiliation: Tufts University, Department of Computer Science, Medford, MA, USA
Other persons with the same name
- Xu Han — disambiguation page
- Xu Han 0001 — University of Connecticut, School of Electrical and Computer Engineering, Storrs, CT, USA
- Xu Han 0002 — University of California, Irvine, Center for Embedded Computer Systems, CA, USA
- Xu Han 0003
— Beijing University of Posts and Telecommunications, School of Software Engineering, Key Laboratory of Trustworthy Distributed Computing and Service, China
- Xu Han 0004
- Xu Han 0005 — Jilin University, College of Computer Science and Technology, Changchun, China
- Xu Han 0006
- Xu Han 0007
- Xu Han 0008 — Nanyang Technological University, School of Computer Engineering, Singapore
- Xu Han 0009 — University of North Carolina at Chapel Hill, UNC, Department of Computer Science, USA
- Xu Han 0010
- Xu Han 0011
- Xu Han 0013
- Xu Han 0014
- Xu Han 0015
- Xu Han 0016
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2020 – today
- 2023
- [j2]Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu:
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation. J. Mach. Learn. Res. 24: 97:1-97:30 (2023) - [c6]Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu:
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling. ICML 2023: 4585-4610 - [c5]Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu:
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model. NeurIPS 2023 - [i7]Xiaohui Chen, Jiaxing He, Xu Han, Li-Ping Liu:
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling. CoRR abs/2305.04111 (2023) - [i6]Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation. CoRR abs/2311.07896 (2023) - 2022
- [j1]Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu:
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning. Trans. Mach. Learn. Res. 2022 (2022) - [c4]Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu:
Predicting Physics in Mesh-reduced Space with Temporal Attention. ICLR 2022 - [c3]Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu:
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations. LoG 2022: 27 - [i5]Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu:
Predicting Physics in Mesh-reduced Space with Temporal Attention. CoRR abs/2201.09113 (2022) - [i4]Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu:
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning. CoRR abs/2210.10643 (2022) - [i3]Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Li-Ping Liu:
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations. CoRR abs/2211.14425 (2022) - 2021
- [c2]Xu Han, Xiaohui Chen, Li-Ping Liu:
GAN Ensemble for Anomaly Detection. AAAI 2021: 4090-4097 - [c1]Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu:
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation. ICML 2021: 1630-1639 - [i2]Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu:
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation. CoRR abs/2106.06189 (2021) - 2020
- [i1]Xu Han, Xiaohui Chen, Li-Ping Liu:
GAN Ensemble for Anomaly Detection. CoRR abs/2012.07988 (2020)
Coauthor Index
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