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ORCIDYuhao Liu 0002
Person information
- affiliation: Stony Brook University, NY, USA
Other persons with the same name
- Yuhao Liu — disambiguation page
- Yuhao Liu 0001
![[0000-0003-0550-4788]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0550-4788")
— Dalian University of Technology, Dalian, China - Yuhao Liu 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Yuhao Liu 0004 — Xi'an Jiaotong University, Xi'an, China
- Yuhao Liu 0005 — Tsinghua University, Beijing, China
Other persons with a similar name
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2020 – today
- 2024
[j2]Yuhao Liu, Marzieh Ajirak, Petar M. Djuric:
Gaussian Process-Gated Hierarchical Mixtures of Experts. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6443-6453 (2024)- [c9]Marzieh Ajirak, Yuhao Liu, Petar M. Djuric:
Filtering of High-Dimensional Data for Sequential Classification. FUSION 2024: 1-7 - [c8]Yuanqing Song, Yuhao Liu, Petar M. Djuric:
Novel Architecture of Deep Feature-Based Gaussian Processes with an Ensemble of Kernels. ICASSP 2024: 6750-6754 - [i3]Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric:
Scalable Random Feature Latent Variable Models. CoRR abs/2410.17700 (2024) - 2023
- [j1]Yuhao Liu, Marzieh Ajirak, Petar M. Djuric:
Sequential Estimation of Gaussian Process-Based Deep State-Space Models. IEEE Trans. Signal Process. 71: 2968-2980 (2023) - [c7]Yuhao Liu, Chen Cui, Daniel Waxman, Kurt Butler, Petar M. Djuric:
Detecting Confounders in Multivariate Time Series using Strength of Causation. EUSIPCO 2023: 1400-1404 - [c6]Yuhao Liu, Chen Cui, Marzieh Ajirak, Petar M. Djuric:
Estimation of Time-Varying Graph Topologies from Graph Signals. ICASSP 2023: 1-5 - [i2]Yuhao Liu, Marzieh Ajirak, Petar M. Djuric:
Sequential Estimation of Gaussian Process-based Deep State-Space Models. CoRR abs/2301.12528 (2023) - [i1]Yuhao Liu, Marzieh Ajirak, Petar M. Djuric:
Gaussian Process-Gated Hierarchical Mixtures of Experts. CoRR abs/2302.04947 (2023) - 2022
- [c5]Yuhao Liu, Marzieh Ajirak, Petar M. Djuric:
Inference with Deep Gaussian Process State Space Models. EUSIPCO 2022: 792-796 - [c4]Marzieh Ajirak, Yuhao Liu, Petar M. Djuric:
Ensembles of Gaussian process latent variable models. EUSIPCO 2022: 1467-1471 - [c3]Yuhao Liu, Petar M. Djuric:
Tracking the Dimensions of Latent Spaces of Gaussian Process Latent Variable Models. ICASSP 2022: 4193-4197 - 2021
- [c2]Yuhao Liu, Petar M. Djuric:
The Use of Gaussian Processes as Particles for Sequential Monte Carlo Estimation of Time-Varying Functions. EUSIPCO 2021: 1975-1979 - 2020
- [c1]Yuhao Liu, Petar M. Djuric:
Gaussian Process State-Space Models with Time-Varying Parameters and Inducing Points. EUSIPCO 2020: 1462-1466
Coauthor Index
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