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Kang Yang
PhD Candidate
Electrical Engineering and Computer Science, University of California Merced
EECS, UC Merced
 Office: 230V, Science and Engineering Building 2, UC Merced, CA 95343
Email: kyang73 [at] ucmerced [dot] edu     Google Scholar

About Me

I am a fifth-year PhD candidate in Electrical Engineering and Computer Science at the University of California Merced, under the guidance of Professor Wan Du. My research focuses on the AI for Wireless Networking and Sensing. For additional information, please refer to my CV.

News

  • I will be working with Professor Mani Srivastava at UCLA as a postdoc starting in January 2025.
  • 11/2022: I passed my Qualifying Examination.
  • 01/2020: I started my PhD studies at the University of California, Merced.

Publications

Note: * marks co-primary authors

  • Kang Yang, Yuning Chen, and Wan Du. OrchLoc: In-Orchard Localization via a Single LoRa Gateway and Generative Diffusion Model-based Fingerprinting. In the 22nd ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2024. (pdf, code, slides).
  • Kang Yang, Miaomiao, Liu, and Wan Du. RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking. IEEE/ACM Transactions on Networking, vol.32, no.4, pp. 3392-3407, 2024. (pdf).
  • Kang Yang*, Yuning Chen*, and Wan Du. Link Quality Modeling for LoRa Networks in Orchards. In the 22nd ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 2023. (pdf, code, slides).
  • Kang Yang and Wan Du. LLDPC: A Low-Density Parity-Check Coding Scheme for LoRa Networks. In the 20th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2022. (pdf, code, slides).
  • Kang Yang, Xi Zhao, Jianhua Zou, and Wan Du. ATPP: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes. In the 17th IEEE International Conference On Distributed Computing in Sensor Systems and the Internet of Things (DCOSS-IoT), 2021. (Best Paper Runner-Up Award). (pdf, code, slides).
  • Zhihao Shen*, Kang Yang*, Wan Du, Xi Zhao, and Jianhua Zou. DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction. In the 17th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2019. (pdf, code, slides, presentation video).

OTHERS

  • Yuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled Bali, and Wan Du. MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge. In the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2024. (pdf, code, slides).

Grants/Proposals

  • Title: Reliable and Energy-Efficient LoRa Networks for Smart Irrigation and Groundwater Recharging in Orchards
    Principal Investigator: Kang Yang
    Duration: August 15, 2023 - August 14, 2025
    Funding: Funded by the Farms Food Future Innovation Initiative (F3) R&D GSR Program, under the US Department of Commerce, Economic Development Administration Build Back Better Regional Challenge

Awards

  • 2024 - 2025 Farms Food Future Innovation Initiative (F3) R&D GSR Award
  • 2023 - 2024 Farms Food Future Innovation Initiative (F3) R&D GSR Award
  • 2022 UC Merced GSA Conference Travel Award
  • The Best Paper Runner-up Award, IEEE DCOSS-IoT 2021. (Kang Yang, Xi Zhao, Jianhua Zou, and Wan Du)

Professional Activities

    Conference Reviewer

    • IEEE ICC 2024
    • IEEE MECOM 2024
    • ACM SenSys 2022 Shadow Program Committee
    • IEEE GLOBECOM 2021

      • Journal Reviewer

      • IEEE Transactions on Sensor Networks
      • IEEE Transactions on Wireless Communications
      • ACM Transactions on Internet of Things
      • IEEE/ACM Transactions on Networking
      • IEEE Transactions on Mobile Computing
      • Data-Centric Engineering
      • Journal of Systems Science and Systems Engineering