Hao-Hsuan Chang

Orcid: 0000-0002-6910-054X

According to our database¹, Hao-Hsuan Chang authored at least 22 papers between 2014 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2023

Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., August, 2023

Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., April, 2023

Optimal preprocessing of WiFi CSI for sensing applications.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond.

[BibT_eX]

[DOI]

Hao-Hsuan Chang

Lingjia Liu

Yang Yi

IEEE Trans. Neural Networks Learn. Syst., 2022

A Single-Channel 1-GS/s 7.48-ENOB Parallel Conversion Pipelined SAR ADC With a Varactor-Based Residue Amplifier.

[BibT_eX]

[DOI]

Hao-Hsuan Chang

Tung-Cheng Lin

Tai-Cheng Lee

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach.

[BibT_eX]

[DOI]

IEEE Access, 2022

An Asynchronous Zero-Crossing-Based Incremental Delta-Sigma Converter.

[BibT_eX]

[DOI]

Yen-Po Lai

Hao-Hsuan Chang

Tai-Cheng Lee

Proceedings of the 2022 International Symposium on VLSI Design, Automation and Test, 2022

MADRL Based Scheduling for 5G and Beyond.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2022

Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Yifei Song

Hao-Hsuan Chang

Lingjia Liu

Proceedings of the IEEE Global Communications Conference, 2022

2021

Federated Dynamic Spectrum Access.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Deep Residual Learning Meets OFDM Channel Estimation.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2020

Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots.

[BibT_eX]

[DOI]

Zhou Zhou

Lingjia Liu

Hao-Hsuan Chang

IEEE Trans. Wirel. Commun., 2020

Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm.

[BibT_eX]

[DOI]

Proceedings of the NANOCOM '20: The Seventh Annual ACM International Conference on Nanoscale Computing and Communication, 2020

2019

Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots.

[BibT_eX]

[DOI]

Zhou Zhou

Lingjia Liu

Hao-Hsuan Chang

CoRR, 2019

Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2019, 2019

Maximizing System Throughput in D2D Networks Using Alternative DC Programming.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Machine learning enabled distributed mobile edge computing network.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2014

End-point preserved stroke extraction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Audio, 2014

Edge adaptive hybrid norm prior method for blurred image reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Asia Pacific Conference on Circuits and Systems, 2014

A region adaptive encoding algorithm for simple image compression.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Asia Pacific Conference on Circuits and Systems, 2014

Hao-Hsuan Chang

Timeline

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