Susu Xu

Orcid: 0000-0001-7170-648X

According to our database1, Susu Xu authored at least 36 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
SOScheduler: Toward Proactive and Adaptive Wildfire Suppression via Multi-UAV Collaborative Scheduling.
IEEE Internet Things J., July, 2024

Study on the Cascading Failure Robustness of the Belt and Road Land-Sea Transport Network under Emergencies.
Symmetry, June, 2024

A time-series based deep survival analysis model for failure prediction in urban infrastructure systems.
Eng. Appl. Artif. Intell., 2024

Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization.
CoRR, 2024

Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach.
CoRR, 2024

QUEST: Quality-informed Multi-agent Dispatching System for Optimal Mobile Crowdsensing.
Proceedings of the IEEE INFOCOM 2024, 2024

Optimizing Rapid Seismic Building Damage Assessment: Integrating Enhanced Radar Change Detection Maps with Variational Bayesian Networks.
Proceedings of the IGARSS 2024, 2024

2023
Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models.
CoRR, 2023

DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery.
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Security Response using GIS 2023, 2023

2022
Adaptive Hybrid Model-Enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution Estimation.
IEEE Trans. Mob. Comput., 2022

TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI.
Inf. Process. Manag., 2022

Bayesian Updating of Seismic Ground Failure Estimates via Causal Graphical Models and Satellite Imagery.
CoRR, 2022

Riemannian Geometric Instance Filtering for Transfer Learning in Brain-Computer Interfaces.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Near-Real-Time Seismic Human Fatality Information Retrieval from Social Media with Few-Shot Large-Language Models.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Discovering and Understanding Algorithmic Biases in Autonomous Pedestrian Trajectory Predictions.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Incentivizing Mobility of Multi-agent Vehicle Swarms with Deep Reinforcement Learning for Sensing Coverage Optimization.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis.
CoRR, 2021

AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context.
CCF Trans. Pervasive Comput. Interact., 2021

Decoupling the unfairness propagation chain in crowd sensing and learning systems for spatio-temporal urban monitoring.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

TACNet: Task-aware Electroencephalogram Classification for Brain-Computer Interface through A Novel Temporal Attention Convolutional Network.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2020
O-MedAL: Online active deep learning for medical image analysis.
WIREs Data Mining Knowl. Discov., 2020

iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing.
IEEE Trans. Mob. Comput., 2020

PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing.
IEEE Internet Things J., 2020

Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems.
Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

A generative simulation platform for multi-agent systems with incentives.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019
Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems: poster abstract.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

ASC: actuation system for city-wide crowdsensing with ride-sharing vehicular platform.
Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering, 2019

2018
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures.
CoRR, 2018

MedAL: Deep Active Learning Sampling Method for Medical Image Analysis.
CoRR, 2018

An Incentive Mechanism for Crowd Sensing with Colluding Agents.
CoRR, 2018

MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
An Indirect Traffic Monitoring Approach Using Building Vibration Sensing System: Poster Abstract.
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016


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