Hao-Hsuan Chang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Topics

Reservoir Computing

Reinforcement Learning

Top Venues

IEEE Internet Things J.

IEEE Trans. Wirel. Commun.

Publications

Hao-Hsuan Chang, Ci-Ren Chen, Tai-Cheng Lee
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 59 (7) (2024)
Hao-Hsuan Chang, Vishnu V. Ratnam, Hao Chen, Junsu Choi, Charlie Jianzhong Zhang
Multi-Person Respiration Rate Estimation With Single Pair Of Transmit And Receive Antenna. ICASSP (2024)
Hao-Hsuan Chang, Hao Chen, Jianzhong Zhang, Lingjia Liu
Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing. IEEE/ACM Trans. Netw. 31 (2) (2023)
Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu
Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. 22 (8) (2023)
Vishnu V. Ratnam, Hao Chen, Hao-Hsuan Chang, Abhishek Sehgal, Jianzhong Zhang
Optimal preprocessing of WiFi CSI for sensing applications. CoRR (2023)
Yen-Po Lai, Hao-Hsuan Chang, Tai-Cheng Lee
An Asynchronous Zero-Crossing-Based Incremental Delta-Sigma Converter. VLSI-DAT (2022)
Hao-Hsuan Chang, Lingjia Liu, Jianan Bai, Alex Pidwerbetsky, Allan Berlinsky, Joe Huang, Jonathan D. Ashdown, Kurt A. Turck, Yang Yi
Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach. IEEE Access 10 (2022)
Hao-Hsuan Chang, R. B. Sai Sree, Hao Chen, Jianzhong Zhang, Lingjia Liu
MADRL Based Scheduling for 5G and Beyond. MILCOM (2022)
Hao-Hsuan Chang, Lingjia Liu, Yang Yi
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Hao-Hsuan Chang, Tung-Cheng Lin, Tai-Cheng Lee
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 69 (4) (2022)
Yifei Song, Hao-Hsuan Chang, Lingjia Liu
Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning. GLOBECOM (2022)
Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu
Federated Dynamic Spectrum Access. CoRR (2021)
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots. IEEE Trans. Wirel. Commun. 19 (6) (2020)
Hao-Hsuan Chang, Lingjia Liu, Yang Yi
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. CoRR (2020)
Lianjun Li, Lingjia Liu, Jianan Bai, Hao-Hsuan Chang, Hao Chen, Jonathan D. Ashdown, Jianzhong Zhang, Yang Yi
Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access. IEEE Internet Things J. 7 (8) (2020)
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
Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm. NANOCOM (2020)
Lianjun Li, Hao Chen, Hao-Hsuan Chang, Lingjia Liu
Deep Residual Learning Meets OFDM Channel Estimation. IEEE Wirel. Commun. Lett. 9 (5) (2020)
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots. CoRR (2019)
Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu
Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach. IEEE Internet Things J. 6 (2) (2019)
Hao-Hsuan Chang, Lingjia Liu, Hao Song, Alex Pidwerbetsky, Allan Berlinsky, Jonathan D. Ashdown, Kurt A. Turck, Yang Yi
Maximizing System Throughput in D2D Networks Using Alternative DC Programming. GLOBECOM (2019)
Hao Song, Lingjia Liu, Hao-Hsuan Chang, Jonathan D. Ashdown, Yang Yi
Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks. INFOCOM Workshops (2019)
Junchao Ma, Hao-Hsuan Chang, Pingzhi Fan, Lingjia Liu
Machine learning enabled distributed mobile edge computing network. SEC (2019)
Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach. CoRR (2018)
Ying-Jou Chen, Jian-Jiun Ding, Ching-Wen Hsiao, Hao-Hsuan Chang
A region adaptive encoding algorithm for simple image compression. APCCAS (2014)
Jian-Jiun Ding, Pin-Xuan Lee, Szu-Wei Fu, Hao-Hsuan Chang, Chen-Wei Huang
End-point preserved stroke extraction. ICAILP (2014)
Jian-Jiun Ding, Wei-Sheng Lai, Hao-Hsuan Chang, Chir-Weei Chang, Chuan-Chung Chang
Edge adaptive hybrid norm prior method for blurred image reconstruction. APCCAS (2014)