Hao-Hsuan Chang

31 papers B 2Misc 2Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dyna-ESN: Efficient Deep Reinforcement Learning for Partially Observable Dynamic Spectrum Access.
IEEE Trans. Wirel. Commun.
Hao-Hsuan Chang, Nima Mohammadi, Ramin Safavinejad, Yang Yi, Lingjia Liu
2024 J jnl
A 511-μW 89-dB-SNDR Asynchronous SAR-ISDM ADC With Noise Shaping Dynamic Amplifier and Time-Domain Noise-Slicing Technique.
IEEE J. Solid State Circuits
Hao-Hsuan Chang, Ci-Ren Chen, Tai-Cheng Lee
2024 — conf
Comparison of Hierarchical MPC-Based Energy Management Strategies for Residential Microgrids.
ISGT EUROPE
Wenyan Ye, Hao-Hsuan Chang, Ping Zhang, Lars Quakernack, Michael Kelker, Jens Haubrock
2024 J jnl
Deep Reinforcement Learning for Dynamic Spectrum Access: Convergence Analysis and System Design.
IEEE Trans. Wirel. Commun.
Ramin Safavinejad, Hao-Hsuan Chang, Lingjia Liu
2024 Misc conf
Multi-Person Respiration Rate Estimation With Single Pair Of Transmit And Receive Antenna.
ICASSP
Hao-Hsuan Chang, Vishnu V. Ratnam, Hao Chen, Junsu Choi, Charlie Jianzhong Zhang
2024 J jnl
Optimal Preprocessing of WiFi CSI for Sensing Applications.
IEEE Trans. Wirel. Commun.
Vishnu V. Ratnam, Hao Chen, Hao-Hsuan Chang, Abhishek Sehgal, Charlie Zhang
2023 J jnl
Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing.
IEEE/ACM Trans. Netw.
Hao-Hsuan Chang, Hao Chen, Jianzhong Zhang, Lingjia Liu
2023 J jnl
Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access.
IEEE Trans. Wirel. Commun.
Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu
2023 J jnl
Optimal preprocessing of WiFi CSI for sensing applications.
CoRR
Vishnu V. Ratnam, Hao Chen, Hao-Hsuan Chang, Abhishek Sehgal, Jianzhong Zhang
2022 J jnl
A Single-Channel 1-GS/s 7.48-ENOB Parallel Conversion Pipelined SAR ADC With a Varactor-Based Residue Amplifier.
IEEE Trans. Circuits Syst. II Express Briefs
Hao-Hsuan Chang, Tung-Cheng Lin, Tai-Cheng Lee
2022 — conf
An Asynchronous Zero-Crossing-Based Incremental Delta-Sigma Converter.
VLSI-DAT
Yen-Po Lai, Hao-Hsuan Chang, Tai-Cheng Lee
2022 J jnl
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond.
IEEE Trans. Neural Networks Learn. Syst.
Hao-Hsuan Chang, Lingjia Liu, Yang Yi
2022 B conf
Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning.
GLOBECOM
Yifei Song, Hao-Hsuan Chang, Lingjia Liu
2022 — conf
MADRL Based Scheduling for 5G and Beyond.
MILCOM
Hao-Hsuan Chang, R. B. Sai Sree, Hao Chen, Jianzhong Zhang, Lingjia Liu
2022 J jnl
Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach.
IEEE Access
Hao-Hsuan Chang, Lingjia Liu, Jianan Bai, Alex Pidwerbetsky, Allan Berlinsky, Joe Huang, Jonathan D. Ashdown, Kurt A. Turck, Yang Yi
2021 — —
Deep Reinforcement Learning for Next Generation Wireless Networks with Echo State Networks.
Hao-Hsuan Chang
2021 J jnl
Federated Dynamic Spectrum Access.
CoRR
Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu
2020 J jnl
Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access.
IEEE Internet Things J.
Lianjun Li, Lingjia Liu, Jianan Bai, Hao-Hsuan Chang, Hao Chen, Jonathan D. Ashdown, Jianzhong Zhang, Yang Yi
2020 J jnl
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond.
CoRR
Hao-Hsuan Chang, Lingjia Liu, Yang Yi
2020 J jnl
Deep Residual Learning Meets OFDM Channel Estimation.
IEEE Wirel. Commun. Lett.
Lianjun Li, Hao Chen, Hao-Hsuan Chang, Lingjia Liu
2020 — conf
Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm.
NANOCOM
Qiang Fan, Jianan Bai, Hao-Hsuan Chang, Lianjun Li, Shiya Liu, Joe Huang, John Burgess, Allan Berlinsky, Alex Pidwerbetsky, Jonathan D. Ashdown, Kurt A. Turck, Lingjia Liu
2020 J jnl
Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots.
IEEE Trans. Wirel. Commun.
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
2019 — conf
Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks.
INFOCOM Workshops
Hao Song, Lingjia Liu, Hao-Hsuan Chang, Jonathan D. Ashdown, Yang Yi
2019 J jnl
Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach.
IEEE Internet Things J.
Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu
2019 J jnl
Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots.
CoRR
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
2019 Misc conf
Machine learning enabled distributed mobile edge computing network.
SEC
Junchao Ma, Hao-Hsuan Chang, Pingzhi Fan, Lingjia Liu
2019 B conf
Maximizing System Throughput in D2D Networks Using Alternative DC Programming.
GLOBECOM
Hao-Hsuan Chang, Lingjia Liu, Hao Song, Alex Pidwerbetsky, Allan Berlinsky, Jonathan D. Ashdown, Kurt A. Turck, Yang Yi
2018 J jnl
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach.
CoRR
Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu
2014 — conf
A region adaptive encoding algorithm for simple image compression.
APCCAS
Ying-Jou Chen, Jian-Jiun Ding, Ching-Wen Hsiao, Hao-Hsuan Chang
2014 — conf
Edge adaptive hybrid norm prior method for blurred image reconstruction.
APCCAS
Jian-Jiun Ding, Wei-Sheng Lai, Hao-Hsuan Chang, Chir-Weei Chang, Chuan-Chung Chang
2014 — conf
End-point preserved stroke extraction.
ICAILP
Jian-Jiun Ding, Pin-Xuan Lee, Szu-Wei Fu, Hao-Hsuan Chang, Chen-Wei Huang