Zhidi Lin - RankMe

30 papers A* 1A 1C 3Misc 4Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. CoRR Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. IEEE Trans. Signal Process. Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025	J	`jnl`	Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction. IEEE Trans. Mob. Comput. Yiyong Sun, Jiajun He, Zhidi Lin, Wenqiang Pu, Feng Yin, Hing Cheung So
2025	J	`jnl`	Multi-View Oriented GPLVM: Expressiveness and Efficiency. CoRR Zi Yang, Ying Li, Zhidi Lin, Michael Minyi Zhang, Pablo M. Olmos
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
2025	J	`jnl`	Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel. IEEE Trans. Neural Networks Learn. Syst. Richard Cornelius Suwandi, Zhidi Lin, Feng Yin, Zhiguo Wang, Sergios Theodoridis
2024	J	`jnl`	Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference. IEEE Trans. Signal Process. Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiery
2024	J	`jnl`	Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction. CoRR Yiyong Sun, Jiajun He, Zhidi Lin, Wenqiang Pu, Feng Yin, Hing Cheung So
2024	A*	`conf`	Preventing Model Collapse in Gaussian Process Latent Variable Models. ICML Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024	J	`jnl`	Preventing Model Collapse in Gaussian Process Latent Variable Models. CoRR Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024	C	`conf`	Regularization-Based Efficient Continual Learning in Deep State-Space Models. FUSION Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche
2024	J	`jnl`	Regularization-Based Efficient Continual Learning in Deep State-Space Models. CoRR Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche
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
2024	Misc	`conf`	Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. ICASSP Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2023	J	`jnl`	Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference. CoRR Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiery
2023	J	`jnl`	Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data. CoRR Richard Cornelius Suwandi, Zhidi Lin, Feng Yin
2023	Misc	`conf`	Output-Dependent Gaussian Process State-Space Model. ICASSP Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
2023	J	`jnl`	Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. CoRR Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2023	J	`jnl`	Towards Flexibility and Interpretability of Gaussian Process State-Space Model. CoRR Zhidi Lin, Feng Yin
2022	—	`conf`	Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction. MLSP Xinyi Zhang, Chenxu Zhao, Yun Yang, Zhidi Lin, Juntao Wang, Feng Yin
2022	C	`conf`	Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data. FUSION Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin
2022	J	`jnl`	Output-Dependent Gaussian Process State-Space Model. CoRR Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
2021	Misc	`conf`	Graph Neural Network for Large-Scale Network Localization. ICASSP Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
2020	A	`conf`	An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. UAI Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui
2020	J	`jnl`	FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. CoRR Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang Cui
2020	J	`jnl`	Graph Neural Network for Large-Scale Network Localization. CoRR Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
2020	J	`jnl`	One-Class Classifier Based Fault Detection in Distribution Systems With Varying Penetration Levels of Distributed Energy Resources. IEEE Access Zhidi Lin, Dongliang Duan, Qi Yang, Xuemin Hong, Xiang Cheng, Liuqing Yang, Shuguang Cui
2019	Misc	`conf`	A Flexible Approach for Human Activity Recognition Based on Broad Learning System. ICMLC Zhidi Lin, Haipeng Chen, Qi Yang, Xuemin Hong
2018	—	`conf`	One-Class Classifier Based Fault Detection in Distribution Systems with Distributed Energy Resources. GlobalSIP Zhidi Lin, Dongliang Duan, Qi Yang, Xiang Cheng, Liuqing Yang, Shuguang Cui
2018	C	`conf`	Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset. ICCC Shuqing Lin, Feng Yin, Zhidi Lin, Yanbin Lin, Shuguang Robert Cui, Teng Li, Fengli Yu, Wei Yu, Xuemin Hong, Jianghong Shi, Zhi-Quan Tom Luo