Dong Wang
Orcid: 0000-0002-9599-8023Affiliations:
- University of Illinois at Urbana-Champaign, Urbana, IL, USA
- University of Notre Dame, IN, USA (former)
- University of Illinois at Urbana-Champaign, Urbana, IL, USA (PhD 2012)
According to our database1,
Dong Wang
authored at least 201 papers
between 2009 and 2024.
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Bibliography
2024
Integrating Social Explanations Into Explainable Artificial Intelligence (XAI) for Combating Misinformation: Vision and Challenges.
IEEE Trans. Comput. Soc. Syst., October, 2024
CoRR, 2024
Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders.
CoRR, 2024
SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment.
Proceedings of the ACM on Web Conference 2024, 2024
MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
SocialDrought: A Social and News Media Driven Dataset and Analytical Platform towards Understanding Societal Impact of Drought.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper).
Proceedings of the ACM Collective Intelligence Conference, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE Trans. Comput. Soc. Syst., December, 2023
Dataset, November, 2023
A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications.
Knowl. Based Syst., October, 2023
Knowl. Based Syst., March, 2023
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision.
IEEE Trans. Big Data, February, 2023
CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation.
Pervasive Mob. Comput., 2023
CoRR, 2023
ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response.
Proceedings of the ACM Web Conference 2023, 2023
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Social Edge Computing - Empowering Human-Centric Edge Computing, Learning and Intelligence
Springer, ISBN: 978-3-031-26935-6, 2023
2022
On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach.
IEEE Trans. Geosci. Remote. Sens., 2022
CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment.
IEEE Trans. Comput. Soc. Syst., 2022
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data.
IEEE Trans. Big Data, 2022
SEIS: A spatiotemporal-aware event investigation framework for social airborne sensing in disaster recovery applications.
Pervasive Mob. Comput., 2022
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing.
Proc. ACM Hum. Comput. Interact., 2022
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment.
Proc. ACM Hum. Comput. Interact., 2022
CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection.
Proc. ACM Hum. Comput. Interact., 2022
HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection.
Proc. ACM Hum. Comput. Interact., 2022
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing.
Knowl. Based Syst., 2022
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach.
Knowl. Based Syst., 2022
SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning.
Inf. Process. Manag., 2022
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
A Privacy-aware Distributed Knowledge Graph Approach to QoIS-driven COVID-19 Misinformation Detection.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations.
Proceedings of the IEEE International Conference on Big Data, 2022
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks.
IEEE Trans. Big Data, 2021
CCMR: A Classic-enriched Connotation-aware Music Retrieval System on Social Media with Visual Inputs.
Soc. Netw. Anal. Min., 2021
Inf. Process. Manag., 2021
Artif. Intell. Rev., 2021
On migratable traffic risk estimation in urban sensing: A social sensing based deep transfer network approach.
Ad Hoc Networks, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
Proceedings of the IEEE International Performance, 2021
FedSens: A Federated Learning Approach for Smart Health Sensing with Class Imbalance in Resource Constrained Edge Computing.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021
KnowMeme: A Knowledge-enriched Graph Neural Network Solution to Offensive Meme Detection.
Proceedings of the 17th IEEE International Conference on eScience, 2021
HeteroSAS: A Heterogeneous Resource Management Framework for "All-in-the-Air" Social Airborne Sensing in Disaster Response.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021
FakeSens: A Social Sensing Approach to COVID-19 Misinformation Detection on Social Media.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services.
IEEE Trans. Big Data, 2020
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems.
IEEE Trans. Big Data, 2020
FauxWard: a graph neural network approach to fauxtography detection using social media comments.
Soc. Netw. Anal. Min., 2020
DASC: Towards a road Damage-Aware Social-media-driven Car sensing framework for disaster response applications.
Pervasive Mob. Comput., 2020
IEEE Internet Things J., 2020
Towards Privacy-aware Task Allocation in Social Sensing based Edge Computing Systems.
CoRR, 2020
CovidSens: A Vision on Reliable Social Sensing based Risk Alerting Systems for COVID-19 Spread.
CoRR, 2020
TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020
A Multi-modal Graph Neural Network Approach to Traffic Risk Forecasting in Smart Urban Sensing.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020
PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020
SocialDrone: An Integrated Social Media and Drone Sensing System for Reliable Disaster Response.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Poster Abstract: A Computational Model-Driven Hybrid Social Media and Drone-Based Wildfire Monitoring Framework.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Demo Abstract: Social Media-Driven UAV Sensing Frameworks in Disaster Response Applications.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
CompDrone: Towards Integrated Computational Model and Social Drone Based Wildfire Monitoring.
Proceedings of the 16th International Conference on Distributed Computing in Sensor Systems, 2020
FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
A Hybrid Transfer Learning Approach to Migratable Disaster Assessment in Social Media Sensing.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications.
IEEE Trans. Big Data, 2019
An online reinforcement learning approach to quality-cost-aware task allocation for multi-attribute social sensing.
Pervasive Mob. Comput., 2019
Knowl. Based Syst., 2019
Inf. Fusion, 2019
Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach.
Proceedings of the IEEE International Conference on Smart Computing, 2019
Proceedings of the IEEE Real-Time Systems Symposium, 2019
SocialCar: A Task Allocation Framework for Social Media Driven Vehicular Network Sensing Systems.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019
Heterogeneous social sensing edge computing system for deep learning based disaster response: demo abstract.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019
An Integrated Top-down and Bottom-up Task Allocation Approach in Social Sensing based Edge Computing Systems.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Demo Abstract: Real-time Social Sensing Task Allocation Strategies in Heterogeneous Edge Computing Systems.
Proceedings of the IEEE INFOCOM 2019, 2019
Poster Abstract: A Dynamic Data-Driven Prediction Model for Sparse Collaborative Sensing Applications.
Proceedings of the IEEE INFOCOM 2019, 2019
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
CrowdLearn: A Crowd-AI Hybrid System for Deep Learning-based Damage Assessment Applications.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
CollabDrone: A Collaborative Spatiotemporal-Aware Drone Sensing System Driven by Social Sensing Signals.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
EdgeCache: A Game-Theoretic Edge-Based Content Caching System for Crowd Video Sharing.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Towards Optimal Incentive-Driven Verification in Social Sensing Based Smart City Applications.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
DeepRisk: A Deep Transfer Learning Approach to Migratable Traffic Risk Estimation in Intelligent Transportation Using Social Sensing.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
RiskCast: social sensing based traffic risk forecasting via inductive multi-view learning.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Through the eyes of a poet: classical poetry recommendation with visual input on social media.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
A syntax-based learning approach to geo-locating abnormal traffic events using social sensing.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Knowl. Based Syst., 2018
Simulating Large-Scale Social Sensing Based Edge Computing Systems with Heterogeneous Network Configurations.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018
Demo Abstract: Real-Time Heterogeneous Edge Computing System for Social Sensing Applications.
Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2018
A Real-Time and Non-Cooperative Task Allocation Framework for Social Sensing Applications in Edge Computing Systems.
Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2018
Robust State Prediction with Incomplete and Noisy Measurements in Collaborative Sensing.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018
Towards Optimized Online Task Allocation in Cost-Sensitive Crowdsensing Applications.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018
A Light-Weight and Quality-Aware Online Adaptive Sampling Approach for Streaming Social Sensing in Cloud Computing.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018
Cooperative-Competitive Task Allocation in Edge Computing for Delay-Sensitive Social Sensing.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018
Poster: On Cost-Sensitive Task Allocation in Social Sensing: An Online Learning Approach.
Proceedings of the 14th International Conference on Distributed Computing in Sensor Systems, 2018
On Opinion Characterization in Social Sensing: A Multi-view Subspace Learning Approach.
Proceedings of the 14th International Conference on Distributed Computing in Sensor Systems, 2018
StreamGuard: A Bayesian Network Approach to Copyright Infringement Detection Problem in Large-scale Live Video Sharing Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Towards Reliable Missing Truth Discovery in Online Social Media Sensing Applications.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
An End-to-End Scalable Copyright Detection System for Online Video Sharing Platforms.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data.
ACM Trans. Intell. Syst. Technol., 2017
Soc. Netw. Anal. Min., 2017
ClariSense+: An enhanced traffic anomaly explanation service using social network feeds.
Pervasive Mob. Comput., 2017
Knowl. Based Syst., 2017
Exploring Scalability and Time-Sensitiveness in Reliable Social Sensing With Accuracy Assessment.
IEEE Access, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017
Where are you from: Home location profiling of crowd sensors from noisy and sparse crowdsourcing data.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Proceedings of the 13th International Conference on Distributed Computing in Sensor Systems, 2017
Large-scale point-of-interest category prediction using natural language processing models.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2016
Gender Differences in Communication Behaviors, Spatial Proximity Patterns, and Mobility Habits.
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016
Mood-Sensitive Truth Discovery For Reliable Recommendation Systems in Social Sensing.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
Proceedings of the Tenth International Conference on Web and Social Media, 2016
Proceedings of the International Conference on Distributed Computing in Sensor Systems, 2016
Proceedings of the International Conference on Distributed Computing in Sensor Systems, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Exploiting spatial-temporal-social constraints for localness inference using online social media.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Reliable social sensing with physical constraints: analytic bounds and performance evaluation.
Real Time Syst., 2015
Joint Source Selection and Data Extrapolation in Social Sensing for Disaster Response.
CoRR, 2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
On Interesting Place Finding in Social Sensing: An Emerging Smart City Application Paradigm.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015
Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015
Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015
Demo paper: A confidence-aware truth estimation tool for social sensing applications.
Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015
2014
ACM Trans. Sens. Networks, 2014
IEEE J. Sel. Top. Signal Process., 2014
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014
Proceedings of the IPSN'14, 2014
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014
2013
IEEE J. Sel. Areas Commun., 2013
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013
Proceedings of the IEEE 34th Real-Time Systems Symposium, 2013
Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications.
Proceedings of the IEEE 33rd International Conference on Distributed Computing Systems, 2013
2012
Energy-optimal Batching periods for asynchronous multistage data processing on sensor nodes: foundations and an mPlatform case study.
Real Time Syst., 2012
On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing.
Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012
2011
OptiTuner: On Performance Composition and Server Farm Energy Minimization Application.
IEEE Trans. Parallel Distributed Syst., 2011
Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011
Proceedings of the 14th International Conference on Information Fusion, 2011
Proceedings of the Distributed Computing in Sensor Systems, 2011
2010
Energy-optimal Batching Periods for Asynchronous Multistage Data Processing on Sensor Nodes: Foundations and an mPlatform Case Study.
Proceedings of the 16th IEEE Real-Time and Embedded Technology and Applications Symposium, 2010
2009
Proceedings of the ICPP 2009, 2009