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Journal Articles
- 2023
[j6]Shiliang Sun, Jing Zhao
, Minghao Gu, Shanhu Wang:
Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling. Entropy 25(4): 560 (2023)- 2020
- [j5]Minghao Gu, Shiliang Sun:
Neural Langevin Dynamical Sampling. IEEE Access 8: 31595-31605 (2020) - [j4]Minghao Gu, Jingjing Fei, Shiliang Sun:
Online anomaly detection with sparse Gaussian processes. Neurocomputing 403: 383-399 (2020) - 2019
- [j3]Minghao Gu, Shiliang Sun, Yan Liu:
Dynamical Sampling with Langevin Normalization Flows. Entropy 21(11): 1096 (2019) - 2018
- [j2]Jin Liu, Li Lin, Haoliang Ren, Minghao Gu, Jin Wang, Geumran Youn, Jeong-Uk Kim:
Building neural network language model with POS-based negative sampling and stochastic conjugate gradient descent. Soft Comput. 22(20): 6705-6717 (2018) - 2016
- [j1]Minghao Gu, Ming Xu:
路网中基于地理位置和区域封闭性的最短路径的查询算法 (Shortest Path Searching Algorithm Based on Geographical Coordinates and Closed Attribute in Road Network). 计算机科学 43(6): 188-193 (2016)
Conference and Workshop Papers
- 2024
- [c1]Minghao Gu, Cesar Ruiz, Qiang Huang:
Surface Quality Characterization and Modeling for Printed 2D Products Using Printing Primitives. CASE 2024: 2256-2261
Informal and Other Publications
- 2019
- [i1]Minghao Gu, Shiliang Sun:
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling. CoRR abs/1906.00229 (2019)
Coauthor Index
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