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Kang Yang
PhD Candidate
Department of Computer Science and Engineering, University of California Merced
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 the Department of Computer Science and Engineering at the University of California Merced, under the guidance of Wan Du. My research focuses on the AI for Wireless Networking and Sensing. For additional information, please refer to my CV.

News

  • 11/2022: Passed my Qualifying Examination.
  • 01/2020: Started my PhD studies at the University of California, Merced.

Publications

Note: * marks co-primary authors

Conference

  • 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).
  • Kang Yang*, Yuning Chen*, Xuanren 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).

Journal

  • Kang Yang, Miaomiao, Liu, and Wan Du. RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking. IEEE/ACM Transactions on Networking, pp. 1–16, 2024. (pdf).
  • Zhihao Shen, Kang Yang, Xi Zhao, Jianhua Zou, and Wan Du. DMM: A Deep Reinforcement Learning based Map Matching Framework for Cellular Data. IEEE Transactions on Knowledge and Data Engineering, pp. 1–18, 2024. (pdf).
  • Kang Yang, Xi Zhao, Jianhua Zou, and Wan Du. ATPP: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes. ACM Transactions on Sensor Networks, vol. 19, no. 3, pp. 1–24, 2023. (pdf).
  • Miaomiao Liu, Kang Yang, Yanjie Fu, Dapeng Oliver Wu, and Wan Du. Driving Maneuver Anomaly Detection based on Deep Auto-Encoder and Geographical Partitioning. ACM Transactions on Sensor Networks, vol. 19, no. 2, pp. 1–22, 2023. (pdf).
  • Zhihao Shen*, Kang Yang*, Wan Du, Xi Zhao, and Jianhua Zou. DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction. IEEE Transactions on Mobile Computing, vol. 22, no. 2, pp. 824-840, 2021. (pdf).

Grants/Proposals

  • Title: Reliable and Energy-Efficient LoRa Networks for Smart Irrigation and Groundwater Recharging in Orchards
    Duration: August 15, 2023 - August 14, 2024
    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
  • Title: (Renewal) Reliable and Energy-Efficient LoRa Networks for Smart Irrigation and Groundwater Recharging in Orchards
    Duration: August 15, 2024 - 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
    • 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
      • Journal of Systems Science and Systems Engineering

        • External Reviewer

        • USENIX ATC 2024, ACM SenSys 2023, IEEE INFOCOM 2020 2021 2023, ACM BuildSys 2023, IEEE ICDCS 2020 2022, ACM UbiComp 2020, IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing