Zhengding Luo

Orcid: 0000-0002-2694-5059

According to our database1, Zhengding Luo authored at least 41 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
A Stabilized Hybrid Active Noise Control Algorithm of GFANC and FxNLMS with Online Clustering.
CoRR, January, 2026

Co-Initialization of Control Filter and Secondary Path via Meta-Learning for Active Noise Control.
CoRR, January, 2026

Spatial-frequency cued generative fixed-filter active noise control based on deep learning in reverberant environments.
Signal Process., 2026

Reinforcement learning-based selective fixed-filter active noise control (RL-SFANC): From theory to real-time headphone implementation.
Signal Process., 2026

2025
Pay More Attention To Audio: Mitigating Imbalance of Cross-Modal Attention in Large Audio Language Models.
CoRR, September, 2025

An Effective Photoplethysmography Denosing Method Based on Diffusion Probabilistic Model.
IEEE J. Biomed. Health Informatics, June, 2025

Exploration by Random Reward Perturbation.
CoRR, June, 2025

Self-Boosted Weight-Constrained FxLMS: A Robustness Distributed Active Noise Control Algorithm Without Internode Communication.
IEEE Signal Process. Lett., 2025

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Preventing output saturation in active noise control: An output-constrained Kalman filter approach.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Meta-Learned Regional Initialization of Control Filters for Headphone Active Noise Control.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Directional Selective Fixed-Filter Active Noise Control Based on a Convolutional Neural Network in Reverberant Environments.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

HasRL Robot: A Heterogeneous Asynchronous Reinforcement Learning System for High-Dimensional Bipedal Control.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

DOA Estimation with Lightweight Network on LLM-Aided Simulated Acoustic Scenes.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Reinforcement Learning in Portfolio Management: A Survey of Methods and Trends.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2024
Delayless Generative Fixed-Filter Active Noise Control Based on Deep Learning and Bayesian Filter.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

GFANC-Kalman: Generative Fixed-Filter Active Noise Control With CNN-Kalman Filtering.
IEEE Signal Process. Lett., 2024

What is behind the meta-learning initialization of adaptive filter? - A naive method for accelerating convergence of adaptive multichannel active noise control.
Neural Networks, 2024

GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control.
Neural Networks, 2024

Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning.
CoRR, 2024

A Survey of Integrating Wireless Technology into Active Noise Control.
CoRR, 2024

Unsupervised Learning Based End-to-End Delayless Generative Fixed-Filter Active Noise Control.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Transferable Latent of CNN-Based Selective Fixed-Filter Active Noise Control.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Momentum Two-Gradient Direction Algorithm with Variable Step Size Applied to Solve Practical Output Constraint Issue for Active Noise Control.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Generative Fixed-Filter Active Noise Control.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Practical Distributed Active Noise Control Algorithm Overcoming Communication Restrictions.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep Learning.
IEEE Signal Process. Lett., 2022

Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks.
CoRR, 2022

Implementation of Multi-channel Active Noise Control based on Back-propagation Mechanism.
CoRR, 2022

2021
A Deep Feature Fusion Network Based on Multiple Attention Mechanisms for Joint Iris-Periocular Biometric Recognition.
IEEE Signal Process. Lett., 2021

An Adaptive Face-Iris Multimodal Identification System Based on Quality Assessment Network.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

MM-Net: Learning Adaptive Meta-metric for Few-Shot Biometric Recognition.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

2020
BDTF: A Blockchain-Based Data Trading Framework with Trusted Execution Environment.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Self-Learned Feature Reconstruction and Offset-Dilated Feature Fusion for Real-Time Semantic Segmentation.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Robust Single-Sensor Face and Iris Biometric Identification System Based on Multimodal Feature Extraction Network.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Deep Captioning Hashing Network for Complex Scene Image Retrieval.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019


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