
Kang Yang 杨康 Kang Yang Postdoctoral Scholar Postdoc Department of Electrical & Computer Engineering, UCLA ECE, UCLA Email: kyang73 [at] g [dot] ucla [dot] edu About Me
- Biography: Kang Yang is a Postdoctoral Scholar in the Networked and Embedded Systems Laboratory (NESL), Department of Electrical & Computer Engineering, UCLA, working with Professor Mani Srivastava. He received his Ph.D. in Electrical Engineering and Computer Science from UC Merced, advised by Associate Professor Wan Du. His research focuses on AI-driven wireless networking and sensing systems
- For additional information, please refer to my CV
News
- 11/2024: I passed my Ph.D. final exam
- 11/2022: I passed my qualifying exam
- 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 Proceedings of 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, code, slides)
- Kang Yang*, Yuning Chen*, and Wan Du. Link Quality Modeling for LoRa Networks in Orchards. In Proceedings of 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 Proceedings of 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 Proceedings of the 17th IEEE International Conference on Distributed Computing in Sensor Systems (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 Proceedings of the 17th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2019. (pdf, code, slides, 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 Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 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
- 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
- IEEE Internet of Things Journal
- ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies