Resaerch

Research Interests

Mobile Crowd Sensing

Physics-informed Learning

Time-series Modeling

Transfer Learning

Internet of Things

Cyber-Physical System

Smart Cities

Journals

1. Susu Xu, and Hae Young Noh. “An Information-theoretic Approach for Earthquake-induced Building Damage Diagnosis”. Under review of Mechanical Systems and Signal Processing.

2. Susu Xu, and Hae Young Noh. “Knowledge Transfer Between Buildings For Seismic Damage Diagnosis Through Adversarial Learning”. Accepted to Mechanical Systems and Signal Processing. (PDF)

3. Xinlei Chen*, Susu Xu*, Xinyu Liu, Xiangxiang Xu, Hae Young Noh, Lin Zhang, Pei Zhang. “Adaptive Hybrid Model-enabled Sensing System (HMSS) for Fine-Grained Air Pollution Estimation”. Accepted to IEEE Transactions on Mobile Computing. (* Co-first author) (Link)

4. Rui Ma, Susu Xu, Hae Young Noh, Pei Zhang, Lin Zhang. “PiMi: Analyzing the influencing factors of indoor PM2.5 concentrations through large-scale participatory sensing”. Under review of IEEE Internet of Things Journal.

5. Davis Engler, Susu Xu, Hae Young Noh, and Kishor Jaiswal. “Bayesian Updating Using Fuzzy Data for Vulnerability Functions”. Under review of International Journal of Epidemiology.

6. Xinlei Chen*, Susu Xu*, Jun Han, Haohao Fu, Xidong Pi, Carlee Joe-Wong, Lin Zhang, and Hae Young Noh, Pei Zhang. “PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing.” IEEE Internet of Things Journal, 2020 Jan 21;7(5):3719-34. (* Co-first author) (Link)

7. Susu Xu, Xinlei Chen, Carlee Joe-Wong, Pei Zhang, and Hae Young Noh. “iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing.” in IEEE Transactions on Mobile Computing 2019, DOI: 10.1109/TMC.2019.2915838. (Link)

8. Prakash Anand, Susu Xu, Ram Rajagopal, and Hae Young Noh. “Robust Building Energy Load Forecasting Using Physically-Based Kernel Models.” Energies 11, no. 4 (2018): 862. (Link)

9. Shijia Pan, Susu Xu, Mostafa Mirshekari, Pei Zhang, and Hae Young Noh. “Collaboratively adaptive vibration sensing system for high-fidelity monitoring of structural responses induced by pedestrians.” Frontiers in Built Environment 3 (2017): 28. (Link)

10. Susu Xu, Lin Zhang, Pei Zhang, and Hae Young Noh. “Information-Theoretic Approach for Indirect Train Traffic Monitoring Using Building Vibration.” Frontiers in Built Environment 3 (2017): 22. (Link)

Conferences and Workshops

1. Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong. A generative simulation platform for multi-agent systems with incentives. InAdjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp), 2020.

2. Yue Zhang, Susu Xu, Laixi Shi, Shijia Pan. “Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems”. In Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications (HotMobile), 2020.

3. Xidong Pi*, Susu Xu*, Zhen (Sean) Qian. “Optimal Dedicated Locations for Curbside Pick-up and Drop-off Ridesourcing and Ridesharing Autonomous Vehicles”. Transportation Research Board (TRB) Annual Meeting, 2020.

4. Susu Xu, and Hae Young Noh. “Knowledge Transfer between Buildings for Post-Earthquake Damage Diagnosis without Historical Data”. International Workshop on Structural Health Monitoring (IWSHM), 2019.

5. Jingxiao Liu, Susu Xu, Mario Berges, Jacobo Bielak, James H. Garrett, Hae Young Noh. “An expectation-maximization algorithm-based framework for vehicle-vibration-based indirect structural health monitoring of bridges”. International Workshop on Structural Health Monitoring (IWSHM), 2019.

6. Xinlei Chen*, Susu Xu*, Haohao Fu, Carlee Joe-Wong, Lin Zhang, Hae Young Noh, and Pei Zhang. “ASC: actuation system for city-wide crowdsensing with ride-sharing vehicular platform.” In Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering (SCOPE), pp. 19-24. ACM, 2019.

7. Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, and Hae Young Noh. “Incentivizing vehicular crowdsensing system for large scale smart city applications.” In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, vol. 10970. International Society for Optics and Photonics, 2019.

8. Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, and Hae Young Noh. “Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems.” In Proceedings of the 18th International Conference on Information Processing in Sensor Networks (IPSN), ACM, 2019.

9. Smailagic, Asim, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrián Galdrán, and Susu Xu. “MedAL: Deep Active Learning Sampling Method for Medical Image Analysis.” 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, 2018, pp. 481-488. DOI: 10.1109/ICMLA.2018.00078

10. Yu, Tong, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Hae Young Noh, Pei Zhang, and Ole J. Mengshoel. “Ilpc: Iterative learning using physical constraints in real-world sensing data.” In Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence. 2018.

11. Susu Xu, Lin Zhang, Pei Zhang, and Hae Young Noh. “An Indirect Traffic Monitoring Approach Using Building Vibration Sensing System.” In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM (SenSys), ACM, 2016.

12. Susu Xu, Pei Zhang, and Hae Young Noh. “Information Theoretic Approach for Seismic Damage Localization.” The 16th World Conference on Earthquake Engineering, Santiago, Chile, 2016.