A region adaptive encoding algorithm for simple image compression. - Ying-Jou Chen; Jian-Jiun Ding; Ching-Wen Hsiao; Hao-Hsuan Chang (APCCAS, 2014)

Edge adaptive hybrid norm prior method for blurred image reconstruction. - Jian-Jiun Ding; Wei-Sheng Lai; Hao-Hsuan Chang; Chir-Weei Chang; Chuan-Chung Chang (APCCAS, 2014)

End-point preserved stroke extraction. - Jian-Jiun Ding; Pin-Xuan Lee; Szu-Wei Fu; Hao-Hsuan Chang; Chen-Wei Huang (ICAILP, 2014)

Machine learning enabled distributed mobile edge computing network. - Junchao Ma; Hao-Hsuan Chang; Pingzhi Fan; Lingjia Liu 001 (SEC, 2019)

Maximizing System Throughput in D2D Networks Using Alternative DC Programming. - Hao-Hsuan Chang; Lingjia Liu 001; Hao Song 001; Alex Pidwerbetsky; Allan Berlinsky; Jonathan D. Ashdown; Kurt A. Turck; Yang Yi 002 (GLOBECOM, 2019)

Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks. - Hao Song 001; Lingjia Liu 001; Hao-Hsuan Chang; Jonathan D. Ashdown; Yang Yi 002 (INFOCOM Workshops, 2019)

Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots. - Zhou Zhou 002; Lingjia Liu 001; Hao-Hsuan Chang (CoRR, 2019)

Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach. - Hao-Hsuan Chang; Hao Song 001; Yang Yi 002; Jianzhong Zhang 002; Haibo He; Lingjia Liu 001 (IEEE Internet Things J., 2019)

Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm. - Qiang Fan; Jianan Bai 001; Hao-Hsuan Chang; Lianjun Li 001; Shiya Liu; Joe Huang; John Burgess; Allan Berlinsky; Alex Pidwerbetsky; Jonathan D. Ashdown; Kurt A. Turck; Lingjia Liu 001 (NANOCOM, 2020)

Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access. - Lianjun Li 001; Lingjia Liu 001; Jianan Bai 001; Hao-Hsuan Chang; Hao Chen 010; Jonathan D. Ashdown; Jianzhong Zhang 002; Yang Yi 002 (IEEE Internet Things J., 2020)

Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots. - Zhou Zhou 002; Lingjia Liu 001; Hao-Hsuan Chang (IEEE Trans. Wirel. Commun., 2020)

Deep Residual Learning Meets OFDM Channel Estimation. - Lianjun Li 001; Hao Chen 010; Hao-Hsuan Chang; Lingjia Liu 001 (IEEE Wirel. Commun. Lett., 2020)

Federated Dynamic Spectrum Access. - Yifei Song; Hao-Hsuan Chang; Zhou Zhou 002; Shashank Jere; Lingjia Liu 001 (CoRR, 2021)

Deep Reinforcement Learning for Next Generation Wireless Networks with Echo State Networks. - Hao-Hsuan Chang (2021)

Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning. - Yifei Song; Hao-Hsuan Chang; Lingjia Liu 001 (GLOBECOM, 2022)

MADRL Based Scheduling for 5G and Beyond. - Hao-Hsuan Chang; R. B. Sai Sree; Hao Chen 010; Jianzhong Zhang 002; Lingjia Liu 001 (MILCOM, 2022)

An Asynchronous Zero-Crossing-Based Incremental Delta-Sigma Converter. - Yen-Po Lai; Hao-Hsuan Chang; Tai-Cheng Lee (VLSI-DAT, 2022)

Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming- Based Approach. - Hao-Hsuan Chang; Lingjia Liu 001; Jianan Bai 001; Alex Pidwerbetsky; Allan Berlinsky; Joe Huang; Jonathan D. Ashdown; Kurt A. Turck; Yang Yi 002 (IEEE Access, 2022)

A Single-Channel 1-GS/s 7.48-ENOB Parallel Conversion Pipelined SAR ADC With a Varactor-Based Residue Amplifier. - Hao-Hsuan Chang; Tung-Cheng Lin; Tai-Cheng Lee (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. - Hao-Hsuan Chang; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing. - Hao-Hsuan Chang; Hao Chen 010; Jianzhong Zhang 002; Lingjia Liu 001 (IEEE/ACM Trans. Netw., 2023)

Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access. - Hao-Hsuan Chang; Yifei Song; Thinh T. Doan 001; Lingjia Liu 001 (IEEE Trans. Wirel. Commun., 2023)

Multi-Person Respiration Rate Estimation With Single Pair Of Transmit And Receive Antenna. - Hao-Hsuan Chang; Vishnu V. Ratnam; Hao Chen 010; Junsu Choi; Charlie Jianzhong Zhang (ICASSP, 2024)

Comparison of Hierarchical MPC-Based Energy Management Strategies for Residential Microgrids. - Wenyan Ye; Hao-Hsuan Chang; Ping Zhang 022; Lars Quakernack; Michael Kelker; Jens Haubrock (ISGT EUROPE, 2024)

A 511-μW 89-dB-SNDR Asynchronous SAR-ISDM ADC With Noise Shaping Dynamic Amplifier and Time-Domain Noise-Slicing Technique. - Hao-Hsuan Chang; Ci-Ren Chen; Tai-Cheng Lee (IEEE J. Solid State Circuits, 2024)

Optimal Preprocessing of WiFi CSI for Sensing Applications. - Vishnu V. Ratnam; Hao Chen 010; Hao-Hsuan Chang; Abhishek Sehgal; Charlie Zhang 002 (IEEE Trans. Wirel. Commun., 2024)

Deep Reinforcement Learning for Dynamic Spectrum Access: Convergence Analysis and System Design. - Ramin Safavinejad; Hao-Hsuan Chang; Lingjia Liu 001 (IEEE Trans. Wirel. Commun., 2024)

Dyna-ESN: Efficient Deep Reinforcement Learning for Partially Observable Dynamic Spectrum Access. - Hao-Hsuan Chang; Nima Mohammadi; Ramin Safavinejad; Yang Yi 002; Lingjia Liu 001 (IEEE Trans. Wirel. Commun., 2025)