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
  IEEE Transactions on Signal Processing, August 2024.
  Zhidi Lin, Yiyong Sun, Feng Yin, and Alexandre Hoang Thiéry.
  

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

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

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

Conference

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

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

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

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

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

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

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

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

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

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

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