Yuhao Liu - RankMe

16 papers C 1Misc 4Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Novel Deep Gaussian Process Structures with Flexible Depths. ICASSP Yuanqing Song, Yuhao Liu, Petar M. Djuric
2025	J	`jnl`	Scalable Random Feature Latent Variable Models. IEEE Trans. Pattern Anal. Mach. Intell. Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2024	C	`conf`	Filtering of High-Dimensional Data for Sequential Classification. FUSION Marzieh Ajirak, Yuhao Liu, Petar M. Djuric
2024	J	`jnl`	Gaussian Process-Gated Hierarchical Mixtures of Experts. IEEE Trans. Pattern Anal. Mach. Intell. Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2024	Misc	`conf`	Novel Architecture of Deep Feature-Based Gaussian Processes with an Ensemble of Kernels. ICASSP Yuanqing Song, Yuhao Liu, Petar M. Djuric
2024	J	`jnl`	Scalable Random Feature Latent Variable Models. CoRR Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2023	—	`conf`	Detecting Confounders in Multivariate Time Series using Strength of Causation. EUSIPCO Yuhao Liu, Chen Cui, Daniel Waxman, Kurt Butler, Petar M. Djuric
2023	Misc	`conf`	Estimation of Time-Varying Graph Topologies from Graph Signals. ICASSP Yuhao Liu, Chen Cui, Marzieh Ajirak, Petar M. Djuric
2023	J	`jnl`	Gaussian Process-Gated Hierarchical Mixtures of Experts. CoRR Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2023	J	`jnl`	Sequential Estimation of Gaussian Process-Based Deep State-Space Models. IEEE Trans. Signal Process. Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2023	J	`jnl`	Sequential Estimation of Gaussian Process-based Deep State-Space Models. CoRR Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2022	—	`conf`	Ensembles of Gaussian process latent variable models. EUSIPCO Marzieh Ajirak, Yuhao Liu, Petar M. Djuric
2022	—	`conf`	Inference with Deep Gaussian Process State Space Models. EUSIPCO Yuhao Liu, Marzieh Ajirak, Petar M. Djuric
2022	Misc	`conf`	Tracking the Dimensions of Latent Spaces of Gaussian Process Latent Variable Models. ICASSP Yuhao Liu, Petar M. Djuric
2021	—	`conf`	The Use of Gaussian Processes as Particles for Sequential Monte Carlo Estimation of Time-Varying Functions. EUSIPCO Yuhao Liu, Petar M. Djuric
2020	—	`conf`	Gaussian Process State-Space Models with Time-Varying Parameters and Inducing Points. EUSIPCO Yuhao Liu, Petar M. Djuric