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Home/Authors/Jinhui Hu

Jinhui Hu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
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Publications per year

2
26

Top categories

ML×2Audio and Speech Processing×1AI×1

Frequent co-authors

Yi Peng1×
Haiquan Zhao1×
Hongru Hou1×
Tiehua Mei1×
Denghui Geng1×
Jinhui Huang1×

Research Timeline

2026
ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation

The paper proposes ProRL, an effective Reinforcement Learning framework that rectifies gradient estimation deficiencies to optimize proactive recommendation paths, significantly outperforming existing state-of-the-art methods.

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

This paper proposes the RFFBCGA algorithm, a random Fourier feature based bias-compensated filter that mitigates input noise interference and enhances robustness in nonlinear adaptive filtering.

Highlighted terms show continued research focus across papers

Papers

cs.LGeess.ASEmpiricalRecentJul 22, 2026

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

Yi Peng, Haiquan Zhao, Jinhui Hu

This paper proposes the RFFBCGA algorithm, a random Fourier feature based bias-compensated filter that mitigates input noise interference and enhances robustness in nonlinear adaptive filtering.

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cs.LGcs.AIRecent
May 27, 2026

ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation

Hongru Hou, Tiehua Mei, Denghui Geng, Jinhui Huang +4 more

The paper proposes ProRL, an effective Reinforcement Learning framework that rectifies gradient estimation deficiencies to optimize proactive recommendation paths, significantly outperforming existing…

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