An Indirect Traffic Monitoring Approach Using Building Vibration Sensing System: Poster Abstract. - Susu Xu; Lin Zhang 001; Pei Zhang 001; Hae Young Noh (SenSys, 2016)

ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. - Tong Yu 001; Shijia Pan; Susu Xu; Xinlei Chen; Mostafa Mirshekari; Jonathon Fagert; Hae Young Noh; Pei Zhang 001; Ole J. Mengshoel (AAAI Workshops, 2018)

MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. - Asim Smailagic; Pedro Costa 005; Hae Young Noh; Devesh Walawalkar; Kartik Khandelwal; Adrian Galdran; Mostafa Mirshekari; Jonathon Fagert; Susu Xu; Pei Zhang 001; Aurélio J. C. Campilho (ICMLA, 2018)

An Incentive Mechanism for Crowd Sensing with Colluding Agents. - Susu Xu; Weiguang Mao; Yue Cao; Hae Young Noh; Nihar B. Shah (CoRR, 2018)

MedAL: Deep Active Learning Sampling Method for Medical Image Analysis. - Asim Smailagic; Hae Young Noh; Pedro Costa 005; Devesh Walawalkar; Kartik Khandelwal; Mostafa Mirshekari; Jonathon Fagert; Adrian Galdran; Susu Xu (CoRR, 2018)

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures. - Hongyang Zhang 001; Susu Xu; Jiantao Jiao; Pengtao Xie; Ruslan Salakhutdinov; Eric P. Xing (CoRR, 2018)

ASC: actuation system for city-wide crowdsensing with ride-sharing vehicular platform. - Xinlei Chen; Susu Xu; Haohao Fu; Carlee Joe-Wong; Lin Zhang 001; Hae Young Noh; Pei Zhang 001 (SCOPE@CPSIoTWeek, 2019)

CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things. - Tong Yu 001; Shijia Pan; Susu Xu; Yilin Shen; Botao Hao (UbiComp/ISWC Adjunct, 2019)

Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems: poster abstract. - Susu Xu; Xinlei Chen; Xidong Pi; Carlee Joe-Wong; Pei Zhang 001; Hae Young Noh (IPSN, 2019)

A generative simulation platform for multi-agent systems with incentives. - Zhengwei Wu; Xiaoxi Zhang 001; Susu Xu; Xinlei Chen; Pei Zhang 001; Hae Young Noh; Carlee Joe-Wong (UbiComp/ISWC Adjunct, 2020)

CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things. - Susu Xu; Shijia Pan; Tong Yu 001 (UbiComp/ISWC Adjunct, 2020)

Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems. - Yue Zhang 044; Susu Xu; Laixi Shi; Shijia Pan (HotMobile, 2020)

PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing. - Xinlei Chen; Susu Xu; Jun Han 001; Haohao Fu; Xidong Pi; Carlee Joe-Wong; Yong Li 008; Lin Zhang 001; Hae Young Noh; Pei Zhang 001 (IEEE Internet Things J., 2020)

iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing. - Susu Xu; Xinlei Chen; Xidong Pi; Carlee Joe-Wong; Pei Zhang 001; Hae Young Noh (IEEE Trans. Mob. Comput., 2020)

O-MedAL: Online active deep learning for medical image analysis. - Asim Smailagic; Pedro Costa 005; Alex Gaudio; Kartik Khandelwal; Mostafa Mirshekari; Jonathon Fagert; Devesh Walawalkar; Susu Xu; Adrian Galdran; Pei Zhang 001; Aurélio Campilho; Hae Young Noh (WIREs Data Mining Knowl. Discov., 2020)

TACNet: Task-aware Electroencephalogram Classification for Brain-Computer Interface through A Novel Temporal Attention Convolutional Network. - Xiaolin Liu; Qianxin Hui; Susu Xu; Shuai Wang; Rui Na; Ying Sun; Xinlei Chen; Dezhi Zheng (UbiComp/ISWC Adjunct, 2021)

Decoupling the unfairness propagation chain in crowd sensing and learning systems for spatio-temporal urban monitoring. - Gang Wang; Shijia Pan; Susu Xu (BuildSys, 2021)

AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context. - Yue Zhang 044; Zhizhang Hu; Susu Xu; Shijia Pan (CCF Trans. Pervasive Comput. Interact., 2021)

HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis. - Jingxiao Liu; Susu Xu; Mario Bergés; Hae Young Noh (CoRR, 2021)

Incentivizing Mobility of Multi-agent Vehicle Swarms with Deep Reinforcement Learning for Sensing Coverage Optimization. - Mohib Azam; Xinlei Chen; Susu Xu (UbiComp/ISWC Adjunct, 2022)

Discovering and Understanding Algorithmic Biases in Autonomous Pedestrian Trajectory Predictions. - Andrew Bae; Susu Xu (SenSys, 2022)

Near-Real-Time Seismic Human Fatality Information Retrieval from Social Media with Few-Shot Large-Language Models. - James Hou; Susu Xu (SenSys, 2022)

Riemannian Geometric Instance Filtering for Transfer Learning in Brain-Computer Interfaces. - Qianxin Hui; Xiaolin Liu; Yang Li 104; Susu Xu; Shuailei Zhang; Ying Sun; Shuai Wang; Xinlei Chen; Dezhi Zheng (SenSys, 2022)

Bayesian Updating of Seismic Ground Failure Estimates via Causal Graphical Models and Satellite Imagery. - Susu Xu; Joshua Dimasaka; David Jay Wald; Hae Young Noh (CoRR, 2022)

TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI. - Xiaolin Liu; Rongye Shi; Qianxin Hui; Susu Xu; Shuai Wang; Rui Na; Ying Sun; Wenbo Ding 001; Dezhi Zheng; Xinlei Chen (Inf. Process. Manag., 2022)

Adaptive Hybrid Model-Enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution Estimation. - Xinlei Chen; Susu Xu; Xinyu Liu 003; Xiangxiang Xu 001; Hae Young Noh; Lin Zhang 001; Pei Zhang 001 (IEEE Trans. Mob. Comput., 2022)

Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery. - Chenguang Wang 012; Yepeng Liu; Xiaojian Zhang; Xuechun Li; Vladimir Paramygin; Arthriya Subgranon; Y. Peter Sheng; Xilei Zhao; Susu Xu (EM-GIS, 2023)

DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. - Xuechun Li; Paula M. Bürgi; Wei Ma; Hae Young Noh; David Jay Wald; Susu Xu (KDD, 2023)

Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models. - Chenguang Wang 012; Davis Engler; Xuechun Li; James Hou; David Jay Wald; Kishor Jaiswal; Susu Xu (CoRR, 2023)

Optimizing Rapid Seismic Building Damage Assessment: Integrating Enhanced Radar Change Detection Maps with Variational Bayesian Networks. - Xuechun Li; Runyu Gao; Paula M. Bürgi; David Jay Wald; Susu Xu (IGARSS, 2024)

QUEST: Quality-informed Multi-agent Dispatching System for Optimal Mobile Crowdsensing. - Zuxin Li; Fanhang Man; Xuecheng Chen; Susu Xu; Fan Dang 002; Xiao-Ping Zhang 002; Xinlei Chen (INFOCOM, 2024)

Multi-Agent Target Pursuit Using Perception Uncertainty-Aware Reinforcement Learning. - Yuhan Cheng; Jirong Zha; Renjue Yang; Zhi Sun; Susu Xu; Xinlei Chen (MobiCom, 2024)

Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization. - Junlin He; Jinxiao Du; Susu Xu; Wei Ma (NeurIPS, 2024)

Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach. - Zhuoqun Xue; Xiaojian Zhang; David O. Prevatt; Jennifer Bridge; Susu Xu; Xilei Zhao (CoRR, 2024)

SniffySquad: Patchiness-Aware Gas Source Localization with Multi-Robot Collaboration. - Yuhan Cheng; Xuecheng Chen; Yixuan Yang; Haoyang Wang 012; Jingao Xu; Chaopeng Hong; Susu Xu; Xiao-Ping Zhang 002; Yunhao Liu 001; Xinlei Chen (CoRR, 2024)

Spatial-variant causal Bayesian inference for rapid seismic ground failures and impacts estimation. - Xuechun Li; Susu Xu (CoRR, 2024)

A time-series based deep survival analysis model for failure prediction in urban infrastructure systems. - Binyu Yang; Xuanwen Liang; Susu Xu; Man Sing Wong; Wei Ma (Eng. Appl. Artif. Intell., 2024)

Study on the Cascading Failure Robustness of the Belt and Road Land-Sea Transport Network under Emergencies. - Chaojun Ding; Zhilin Wang; Susu Xu (Symmetry, 2024)

SOScheduler: Toward Proactive and Adaptive Wildfire Suppression via Multi-UAV Collaborative Scheduling. - Xuecheng Chen; Zijian Xiao; Yuhan Cheng; Chen-Chun Hsia; Haoyang Wang 012; Jingao Xu; Susu Xu; Fan Dang 001; Xiao-Ping Zhang 002; Yunhao Liu 001; Xinlei Chen (IEEE Internet Things J., 2024)

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs. - Ruxiao Chen; Chenguang Wang 012; Yuran Sun; Xilei Zhao; Susu Xu (ACL (1), 2025)

Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference. - Xuechun Li; Susu Xu (CoRR, 2025)

Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows. - Xuechun Li; Shan Gao; Runyu Gao; Susu Xu (CoRR, 2025)

Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference. - Xuechun Li; Shan Gao; Susu Xu (CoRR, 2025)

Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning. - Yuran Sun; Susu Xu; Chenguang Wang 012; Xilei Zhao (CoRR, 2025)

A Survey of Autonomous Driving from a Deep Learning Perspective. - Jingyuan Zhao; Yuyan Wu; Rui Deng; Susu Xu; Jinpeng Gao; Andrew F. Burke (ACM Comput. Surv., 2025)