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20232026
most cited(Corrected Version) Push-LSVRG-UP: Distributed Stochastic Optimization over Unbalanced Directed Networks with Uncoordinated Triggered Probabilities

13 citations · 28 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction

Yi Peng, Haiquan Zhao, Jinhui Hu

Most existing nonlinear adaptive filtering algorithms only account for output noise, neglecting the fact that input noise is also prevalent in practice. Although the recently propo…

math.OC2026

Resilient Decentralized Preconditioned Stochastic Proximal Optimization with Gradient Sketching over Time-Varying Networks

Jinhui Hu, Guo Chen, Huaqing Li +4

Variance reduction is indispensable in Byzantine-resilient decentralized stochastic optimization over multi-agent systems (MASs), as it effectively mitigates gradient noise to faci…

eess.SP2026

Outlier-Robust unscented Kalman filter based on generalized correntropy induced

Jinhui Hu, Haiquan Zhao, Yi Peng

Conventional Kalman filtering (KF) approaches exhibit significant limitations in addressing nonlinear state estimation problems contaminated by non-Gaussian noise disturbances. To…

eess.SP2026

Decentralized Variational Bayesian UKF with Maximum Generalized Student's t-kernel Correntropy for Wide-Area Power System state estimation

Jinhui Hu, Haiquan Zhao, Yi Peng

A Conventional centralized state estimators exhibit limited robustness in large-scale grids and face practical deployment hurdles. To overcome these challenges, this paper proposes…

eess.SP2026

Broad learning system with robust adaptive kernel

Haiquan Zhao, Jinhui Hu, Xin Lua

For the performance degradation problem of broad learning system (BLS) in non-Gaussian noise environment, the variant of BLS based on M-estimator shows good robust performance. How…

eess.SP2026

A Fast Robust Adaptive filter using Improved Data-Reuse Method

Yi Peng, Haiquan Zhao, Jinhui Hu

Adaptive filter in complex scenarios demands algorithms that integrate fast convergence, low complexity, and robust performance under diverse noise conditions. To address this chal…

eess.SY2026

Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting

Xi Zhang, Huqiang Cheng, Guo Chen +4

Peer-to-peer (P2P) energy management facilitates decentralized resource allocation among prosumers, improving local hosting capacity for renewables and minimizing energy expenditur…