Resaerch

Journals

Susu Xu, Joshua Dimasaka, David J. Wald, and Hae Young Noh. "Seismic multi-hazard and impact estimation via causal inference from satellite imagery." Nature Communications 13, no. 1 (2022): 1-13. (PDF)

Jingxiao Liu, Susu Xu, Mario Berges, Hae Young Noh. “HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis”. Structural Health Monitoring. 2022;0(0). doi:10.1177/14759217221081159.

Xiaolin Liu, Rongye Shi, Qianxin Hui, Susu Xu, Shuai Wang, Rui Na, Ying Sun, Wenbo Ding, Dezhi Zheng, and Xinlei Chen. "TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI." Information Processing & Management 59, no. 5 (2022): 103001.

Susu Xu, and Hae Young Noh. “PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning". Mechanical Systems and Signal Processing 151 (2021), 107374. (PDF) (ASME SHM Best Journal Paper award, nominated for 2021 Ephrahim Garcia Best Paper Award)

Yue Zhang, Zhizhang Hu, Susu Xu, and Shijia Pan. "AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context." CCF Transactions on Pervasive Computing and Interaction (2021): 1-19.

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”. IEEE Transactions on Mobile Computing (2020), DOI:10.1109/TMC.2020. 3034270. (* Co-first author) (Link)

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)

Smailagic, Asim, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrián Galdrán, and Susu Xu. “O‐MedAL: Online active deep learning for medical image analysis.” Data Mining and Knowledge Discovery 10, no. 4 (2020): e1353.

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)

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)

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)

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

Mohib Azam, Xinlei Chen, Susu Xu. “Incentivizing Mobility of Multi-agent Vehicle Swarms with Deep Reinforcement Learning for Sensing Coverage Optimization”. In proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers (Ubicomp), 2022. (Best paper runner-up in Ubicomp CPD workshop)

Susu Xu, Joshua Dimasaka, David J. Wald, and Hae Young Noh. "Causality-Informed Bayesian Inference for Rapid Seismic Ground Failure and Building Damage Estimation", The 12th National Conference on Earthquake Engineering, 2022.

Gang Wang, Shijia Pan, Susu Xu. “Decoupling the Unfairness Propagation Chain in Crowd Sensing and Learning Systems for Spatio-temporal Urban Monitoring”. The 8th ACM International Conference on Systems for Energy-Efficient Built Environments (ACM BuildSys 2021)

Susu Xu, Joshua Dimasaka, David J. Wald, and Hae Young Noh. “Bayesian Updating of Seismic Ground Failure Estimates via Causal Graphical Models and Satellite Imagery”. World Conference on Earthquake Engineering, 2021.

Tong Yu, Yue Zhang, Zhizhang Hu, Susu Xu, Shijia Pan. “Vibration-Based Indoor Human Sensing Quality Reinforcement via Thompson Sampling”. International Workshop on Cyber-Physical-Human System Design and Implementation, 2021.

Xiaolin Zheng, Susu Xu, Xinlei Chen. “TACNet: Task-aware Electroencephalogram Classification for Brain-Computer Interface through A Novel Temporal Attention Convolutional Network”, Accepted to the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 2021.

Susu Xu, Joshua Dimasaka, David J. Wald, and Hae Young Noh. “Fusing Damage Proxy Maps with Geospatial Models for Bayesian Updating of Seismic Ground Failure Estimations: A Case Study in Central Italy”. No. EGU21-13619. Copernicus Meetings, 2021.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

Patents

Xinlei Chen, Susu Xu, Shijia Pan, Hae Young Noh, Pei Zhang. “Adaptive HMSS: Hybrid Model-enabled Sensing System for Mobile Fine-Grained Air Pollution Estimation”. (Provisional)

Susu Xu, Tijmen Blankevoort, Arash Behboodi, Hossein Hosseini. “Deep Neural Network Model Transplantation Using Adversarial Functional Approximation”. Filed.

Grants

“Enhancing Wildfire Emergency Management (WEM) Platform with Near Real-Time Sensing Data and Deep Learning.” NIST Measurement Science and Engineering (MSE) Research Grant Programs. Co-PI.

Tier-1 UTC center “Rural Equitable and Accessible Transportation Center (REAT)", and Regional UTC center "Region-2: Center for Social and Economic Mobility for People and Communities through Transportation". USDOT Announcement. SBU Co-PI

“Integrating Satellite Imagery and PAGER Loss Modeling for Improved Building Damage Estimates: Collaborative Research between Stony Brook University and USGS”, USGS Earthquake Hazards Program 2023 (G23AS00249). Sole PI

“Causal Graph-based Joint Estimation of Ground Failure and Building Damage from Satellite Images in Near-Real Time: Collaborative Research with Stony Brook University and USGS”, USGS Earthquake Hazards Program 2022 (G22AP00032). Sole PI

“Reasoning and Mitigating Community Disparity-induced Social-technical Biases for Equitable Road Maintenance”, OVPR seed grants Provostial Seed Grants. Lead PI

“GAANN Fellowship in Civil Engineering for Advancing Smart Infrastructure Systems”, Department of Education. Co-PI