Yue Zhang, Carlos Ruiz, Shubham Rohal, and Shijia Pan. "CPA: Cyber-Physical Augmentation for Vibration Sensing in Autonomous Retails." In The 24th International Workshop on Mobile Computing Systems and Applications (HotMobile '23), February 22-23, 2023, Newport Beach, CA, USA. ACM, New York, NY, USA.
Hamid Rajabi, Zhizhang Hu, Xianzhong Ding, Shijia Pan, Wan Du, and Alberto Cerpa. "MODES: Multi-sensor Occupancy Data-driven Estimation System for Smart Buildings". In Proceedings of the Thirteenth ACM International Conference on Future Energy Systems (pp. 228-239). link
Zhizhang Hu, Yue Zhang, Tong Yu, and Shijia Pan. "VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition". In the Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, Milan, Italy, Mat 4 - 6, 2022. pp. 247-258. 2022.
Acceptance rate = 30%. link
Shijia Pan, Dong Yoon Lee, Jun Ho Lee, and Phuc Nguyen. "TeethVib: Monitoring Teeth Functional Occlusion Through Retainer Vibration Sensing." In 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 92-96. IEEE, 2021.
Acceptance rate = 41%. link
Amelie Bonde, Jesse R Codling, Kanittha Naruethep, Yiwen Dong, Wachirawich Siripaktanakon, Sripong Ariyadech, Akkarit Sangpetch, Orathai Sangpetch, Shijia Pan, Hae Young Noh, and Pei Zhang. "PigNet: Failure-Tolerant Pig Activity Monitoring System Using
Structural Vibration". In Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) (pp. 328-340).
Acceptance rate = 24.8%. link
Carlos Ruiz, Shijia Pan, Adeola Bannis, Ming-Po Chang, Hae Young Noh, and Pei Zhang. "IDIoT: Towards Ubiquitous Identification of IoT Devices through Visual and Inertial Orientation Matching During Human Activity." In 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI), pp. 40-52. IEEE, 2020. Selected as the Best Paper Award
Acceptance rate = 35%, link