Publication

2023

Edge AI

  1. K. Terai, Y.-H. Chiang, H. Lin, and Y. Ji, “Cohort-based Power Scaling and Gradient Recovery for Over-The-Air Federated Learning,” in Proc. IEEE VTC-Fall, Oct. 2023.
  2. Y.-H. Chiang, K. Terai, T.-W. Chiang, H. Lin, Y. Ji, and J. C. S. Lui, “Optimal
    Transport based One-Shot Federated Learning for Artificial Intelligence of Things,” to appear in IEEE Internet Things J.
  3. C. Chen, Y.-H. Chiang, H. Lin, J. C. S. Lui, Y. Ji, “Joint Client Selection and Receive
    Beamforming for Over-the-Air Federated Learning with Energy Harvesting,” IEEE
    Open J. Commun. Soc., vol. 4, pp. 1127-1140, 2023.
  4. K. Nishimoto, Y.-H. Chiang, H. Lin, Y. Ji, “FedATM: Adaptive Trimmed Mean
    based Federated Learning against Model Poisoning Attacks,” in Proc. IEEE VTC-
    Spring, Jun. 2023.

2022

ODDM

  1. H. Lin and J. Yuan, “Multicarrier Modulation on Delay-Doppler Plane: Achieving Orthogonality with Fine Resolutions,” IEEE ICC 2022.
  2. H. Lin and J. Yuan, “Orthogonal Delay-Doppler Division Multiplexing Modulation,” IEEE Trans. Wireless Commun., vol. 21, no. 12, pp. 11024-11037, Dec. 2022.
  3. H. Lin and J. Yuan, “On Delay-Doppler Plane Orthogonal Pulse,” IEEE GLOBECOM 2022.
  4. C. Shen, J. Yuan, and H. Lin, “Delay-Doppler Domain Estimation of Doubly-Selective Channels in Single-Carrier Systems,” IEEE GLOBECOM 2022.
  5. C. Shen, J. Yuan, and H. Lin, “Error Performance of Rectangular Pulse-shaped OTFS with Practical Receivers,” IEEE Wireless Commun. Lett., vol. 11, no. 12, pp. 2690-2694, Dec. 2022.

Edge AI

  1. C. Chen, Y.-H. Chiang, H. Lin, J. C. S. Lui, Y. Ji, “Energy Harvesting Aware Client Selection for Over-the-Air Federated Learning,” in Proc. IEEE GLOBECOM, Dec. 2022.
  2. C. Zhu, W. Zhang, Y.-H. Chiang, N. Ye, L. Du, and J. An, “Software-Defined Mar-
    itime Fog Computing: Architecture, Advantages and Feasibility,” IEEE Network,
    vol. 36, no. 2, pp. 26-33, Mar./Apr. 2022.
  3. Y.-H. Chiang, S. Wakisaka, C. Zhu, H. Lin, and Y. Ji, “Age-Efficient Concur-
    rent Information Update Scheduling in Edge-Native Systems,” IEEE Wireless Com-
    mun. Lett., vol. 11, no. 5, pp. 893-897, May 2022.

2021

Edge AI

  1. Y.-H. Chiang, C. Zhu, H. Lin, and Y. Ji, “Hysteretic Optimality of Container Warm-
    ing Control in Serverless Computing Systems,” IEEE Netw. Lett., vol. 3, no. 3,
    pp. 138-141, 2021.
  2. Y.-H. Chiang, H. Lin, and Y. Ji, “Information Cofreshness-aware Grant Assignment
    and Transmission Scheduling for Internet of Things,” IEEE Internet Things J., vol. 8,
    no. 19, pp. 14435-14446, 2021.
  3. C. Zhu, Y.-H. Chiang, Y. Xiao, and Y. Ji, “FlexSensing: A QoI and Latency
    Aware Task Allocation Scheme for Vehicle-based Visual Crowdsourcing via Deep
    Q-Network,” IEEE Internet Things J., vol. 8, pp. 7625-7637, 2021.
  4. S. Wakisaka, Y.-H. Chiang, H. Lin, and Y. Ji, “Timely Information Updates for the
    Internet of Things with Serverless Computing,” in Proc. IEEE ICC, Jun. 2021.
  5. N. Akaba, Y.-H. Chiang, and H. Lin, “Data-Driven Phase Noise Mitigation in
    OFDM Systems,” in Proc. IEEE CCNC, Jan. 2021.

2020

Edge AI

  1. Y.-H. Chiang, T.-W. Chiang, T. Zhang, and Y. Ji, “Deep-Dual-Learning-Based Co-
    task Processing in Multiaccess Edge Computing Systems,” IEEE Internet Things J.,
    vol. 7, pp. 9383-9398, 2020.
  2. X. Jiang, S. A. Naas, Y.-H. Chiang, S. Sigg, and Y. Ji, “SVP: Sinusoidal Viewport
    Prediction for 360-Degree Video Streaming,” IEEE Access, vol. 8, pp. 164471-164481,
    2020.
  3. J.-J. Hung, W. Liao, and Y.-H. Chiang, “Resource Allocation for Multi-access
    Edge Computing with Coordinated Multi-Point Reception,” in Proc. IEEE WCNC,
    Jun. 2020.
  4. Y.-H. Chiang, H. Lin, Y. Ji, and W. Liao, “Freshness-aware Energy Saving in Cellu-
    lar Systems with Cooperative Information Updates,” in Proc. IEEE GLOBECOM,
    Dec. 2020.

2019

Edge AI

  1. T. Settawatcharawanit, Y.-H. Chiang, V. Suppakitpaisarn, and Y. Ji, “A Computation-
    Efficient Approach for Segment Routing Traffic Engineering,” IEEE Access, vol. 7,
    pp. 160408-160417, 2019.
  2. Y.-H. Chiang, T. Zhang, and Y. Ji, “Joint Cotask-aware Offloading and Scheduling
    in Mobile Edge Computing Systems,” IEEE Access, vol. 7, pp. 105008-105018, 2019.
  3. C. Zhu, Y.-H. Chiang, A. Mehrabi, Y. Xiao, A. Ylä-Jääski, and Y. Ji, “Chameleon:
    Latency and Resolution Aware Task Offloading for Visual-based Assisted Driving,”
    IEEE Trans. Veh. Technol., vol. 68, no. 9, pp. 9038-9048, 2019.
  4. T. Zhang, Y.-H. Chiang, C. Borcea, and Y. Ji, “Learning-based Offloading of Tasks
    with Diverse Delay Sensitivities for Mobile Edge Computing,” in Proc. IEEE GLOBE-
    COM, Dec. 2019.