| Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach HH Chang, H Song, Y Yi, J Zhang, H He, L Liu IEEE Internet of Things Journal 6 (2), 1938-1948, 2018 | 201 | 2018 |
| Deep Residual Learning Meets OFDM Channel Estimation L Li, H Chen, HH Chang, L Liu IEEE Wireless Communications Letters 9 (5), 615-618, 2019 | 106 | 2019 |
| Learning for detection: MIMO-OFDM symbol detection through downlink pilots Z Zhou, L Liu, HH Chang IEEE Transactions on Wireless Communications 19 (6), 3712-3726, 2020 | 50 | 2020 |
| Deep echo state Q-network (DEQN) and its application in dynamic spectrum sharing for 5G and beyond HH Chang, L Liu, Y Yi IEEE Transactions on Neural Networks and Learning Systems 33 (3), 929-939, 2020 | 46 | 2020 |
| Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access L Li, L Liu, J Bai, HH Chang, H Chen, JD Ashdown, J Zhang, Y Yi IEEE Internet of Things Journal 7 (8), 7517-7528, 2020 | 24 | 2020 |
| Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing HH Chang, H Chen, J Zhang, L Liu IEEE/ACM Transactions on Networking, 2022 | 11 | 2022 |
| Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum Access Networks H Song, L Liu, HH Chang, J Ashdown, Y Yi IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 6 | 2019 |
| Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access HH Chang, Y Song, TT Doan, L Liu IEEE Transactions on Wireless Communications, 2023 | 5 | 2023 |
| Maximizing System Throughput in D2D Networks using Alternative DC Programming HH Chang, L Liu, H Song, A Pidwerbetsky, A Berlinsky, J Ashdown, ... IEEE Global Communications Conference, 2019 | 5 | 2019 |
| Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning Y Song, HH Chang, L Liu GLOBECOM 2022-2022 IEEE Global Communications Conference, 3466-3471, 2022 | 4 | 2022 |
| Resource Allocation for D2D Cellular Networks With QoS Constraints: A DC Programming-Based Approach HH Chang, L Liu, J Bai, A Pidwerbetsky, A Berlinsky, J Huang, ... IEEE Access 10, 16424-16438, 2021 | 4 | 2021 |
| Federated Dynamic Spectrum Access Y Song, HH Chang, Z Zhou, S Jere, L Liu arXiv preprint arXiv:2106.14976, 2021 | 4 | 2021 |
| MADRL Based Scheduling for 5G and Beyond HH Chang, RBS Sree, H Chen, J Zhang, L Liu MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), 873-878, 2022 | 3 | 2022 |
| DRL meets DSA Networks: Convergence Analysis and Its Application to System Design R Safavinejad, HH Chang, L Liu arXiv preprint arXiv:2305.11237, 2023 | 1 | 2023 |
| Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm Q Fan, J Bai, HH Chang, L Li, S Liu, J Huang, J Burgess, A Berlinsky, ... Proceedings of the 7th ACM International Conference on Nanoscale Computing …, 2020 | 1 | 2020 |
| Multi-Person Respiration Rate Estimation With Single Pair Of Transmit And Receive Antenna HH Chang, V Ratnam, H Chen, J Choi, CJ Zhang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Optimal preprocessing of WiFi CSI for sensing applications VV Ratnam, H Chen, HH Chang, A Sehgal, J Zhang IEEE Transactions on Wireless Communications, 2024 | | 2024 |
| Multi-antenna wifi based breathing rate estimation VV Ratnam, H Chen, A Sehgal, HH Chang US Patent App. 18/321,614, 2023 | | 2023 |
| Presence detection and recognition with wi-fi H Chen, G Chen, HH Chang, D Li, A Sehgal US Patent App. 17/936,799, 2023 | | 2023 |
| Respiration rate detection using wi-fi HH Chang, H Chen, VV Ratnam, A Sehgal, J Zhang US Patent App. 17/936,357, 2023 | | 2023 |
