Publications

• See the full list of publications on Google Scholar (* indicates equal contributions).

Journal

• Ensemble Kalman filtering meets Gaussian process SSM for non-mean-field and online inference
  Zhidi Lin, Yiyong Sun, Feng Yin, and Alexandre Hoang Thiéry. IEEE Transactions on Signal Processing, August 2024.
  

• Fedloc: Federated learning framework for data-driven cooperative localization and location data processing
  Feng Yin, Zhidi Lin, Qinglei Kong, Yue Xu, Deshi Li, Sergios Theodoridis and Shuguang Cui. IEEE Open Journal of Signal Processing, vol. 1, pp. 187-215, November 2020.
  

• One-Class classifier based fault detection in distribution systems with varying penetration levels of distributed energy resources
  Zhidi Lin, Dongliang Duan, Qi Yang, Xuemin Hong, Xiang Cheng, Liuqing Yang and Shuguang Cui. IEEE Access, vol. 8, pp. 130023-130035, July 2020.
  

• Data-driven fault localization in distribution systems with distributed energy resources
  Zhidi Lin, Dongliang Duan, Qi Yang, Xuemin Hong, Xiang Cheng, Liuqing Yang and Shuguang Cui. Energies, vol. 13, no. 1, pp. 275, January 2020.
  

Conference

• Preventing model collapse in Gaussian process latent variable models [code]
  Ying Li*, Zhidi Lin*, Feng Yin, and Michael Minyi Zhang. International Conference on Machine Learning (ICML), 2024.

• Towards efficient modeling and inference in multi-dimensional Gaussian process state-space models [code]
  Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, and Sergios Theodoridis. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
  

• Regularization-Based Efficient Continual Learning in Deep State-Space Models
  Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, and Carsten Fritsche. IEEE International Conference on Information Fusion (FUSION), 2024.
  

• Output-dependent Gaussian process state-space model [code]
  Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, and Shuguang Cui. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
  

• Gaussian process regression with grid spectral mixture kernel: Distributed learning for multidimensional data [code]
  Richard Cornelius Suwandi*, Zhidi Lin*, Yiyong Sun, Zhiguo Wang, Lei Cheng, and Feng Yin. IEEE International Conference on Information Fusion (FUSION), 2022.
  

• Graph neural network for large-scale network localization [code]
  Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
  

• An interpretable and sample efficient deep kernel for Gaussian process
  Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui. Conference on Uncertainty in Artificial Intelligence (UAI), 2020.
  

• A flexible approach for human activity recognition based on broad learning system
  Zhidi Lin, Haipeng Chen, Qi Yang, Xuemin Hong. International Conference on Machine Learning and Computing (ICMLC), 2019.
  

• Data-driven fault localization in distribution systems with distributed energy resources
  Zhidi Lin, Dongliang Duan, Qi Yang, Xiang Cheng, Liuqing Yang, Shuguang Cui. IEEE Sustainable Power and Energy Conference, (iSPEC), 2019.
  

• One-class classifier based fault detection in distribution systems with distributed energy resources
  Zhidi Lin, Dongliang Duan, Qi Yang, Xiang Cheng, Liuqing Yang, Shuguang Cui. IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018.
  

• Online MEM based binary classification algorithm for China Mobile imbalanced dataset
  Shuqing Lin, Feng Yin, Zhidi Lin, Yanbin Lin, Shuguang Cui, Teng Li, Fengli Yu, Wei Yu, Xuemin Hong, Jianghong Shi, Zhi-Quan Luo. IEEE/CIC International Conference on Communications in China (ICCC), 2018.