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20232025
most citedRepresentation and De-interleaving of Mixtures of Hidden Markov Processes

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting

Zihao Wang, Yunjie Li, Lingmin Zan +2

The Extended Long Short-Term Memory (xLSTM) network has demonstrated strong capability in modeling complex long-term dependencies in time series data. Despite its success, the dete…

eess.SP2025

Infinite Factorial Linear Dynamical Systems for Transient Signal Detection

Jiadi Bao, Yatong Wang, Yunjie Li +2

Accurately detecting the transient signal of interest from the background signal is one of the fundamental tasks in signal processing. The most recent approaches assume the existen…

stat.ML2024★ 1 cited

Representation and De-interleaving of Mixtures of Hidden Markov Processes

Jiadi Bao, Mengtao Zhu, Yunjie Li +1

De-interleaving of the mixtures of Hidden Markov Processes (HMPs) generally depends on its representation model. Existing representation models consider Markov chain mixtures rathe…

eess.SP2023

Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition

Ziwei Zhang, Mengtao Zhu, Jiabin Liu +2

Automatic Modulation Recognition (AMR) is a crucial technology in the domains of radar and communications. Traditional AMR approaches assume a closed-set scenario, where unknown sa…

eess.SP2023

Bayesian Non-parametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis

Jiadi Bao, Yunjie Li, Mengtao Zhu +1

Multi-function radars (MFRs) are sophisticated types of sensors with the capabilities of complex agile inter-pulse modulation implementation and dynamic work mode scheduling. The d…