Dong Wang

Orcid: 0000-0002-9599-8023

Affiliations:
  • 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 183 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Linear Recurrent Units for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
CovidTrak: A Vision on Social Intelligence-Empowered COVID-19 Contact Tracing.
IEEE Trans. Comput. Soc. Syst., December, 2023

A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications.
Knowl. Based Syst., October, 2023

Fairness-aware training of face attribute classifiers via adversarial robustness.
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

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.
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

On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition.
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

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning.
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

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

Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders.
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

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.
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

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

Domain Adaptation for Question Answering via Question Classification.
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

AOMD: An analogy-aware approach to offensive meme detection on social media.
Inf. Process. Manag., 2021

A Survey on Social-Physical Sensing.
CoRR, 2021

CovidSens: a vision on reliable social sensing for COVID-19.
Artif. Intell. Rev., 2021

On migratable traffic risk estimation in urban sensing: A social sensing based deep transfer network approach.
Ad Hoc Networks, 2021

PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts.
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

Unravel: An Anomalistic Crowd Investigation Framework Using Social Airborne Sensing.
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

A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok.
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

Toward Privacy-Aware Task Allocation in Social Sensing-Based Edge Computing Systems.
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

ExFaux: A Weakly Supervised Approach to Explainable Fauxtography Detection.
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

CaMR: Towards Connotation-aware Music Retrieval on Social Media with Visual Inputs.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention.
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

Towards reliable online clickbait video detection: A content-agnostic approach.
Knowl. Based Syst., 2019

Characterizing online health and wellness information consumption: A study.
Inf. Fusion, 2019

The Age of Social Sensing.
Computer, 2019

Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach.
Proceedings of the IEEE International Conference on Smart Computing, 2019

EdgeBatch: Towards AI-Empowered Optimal Task Batching in Intelligent Edge Systems.
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

HeteroEdge: taming the heterogeneity of edge computing system in social sensing.
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

SEAD: Towards A Social-Media-Driven Energy-Aware Drone Sensing Framework.
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

When Social Sensing Meets Edge Computing: Vision and Challenges.
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

EdgeStore: Towards an Edge-Based Distributed Storage System for Emergency Response.
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

Social Edge Intelligence: Integrating Human and Artificial Intelligence at the Edge.
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

VulnerCheck: A Content-Agnostic Detector for Online Hatred-Vulnerable Videos.
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
Who to select: Identifying critical sources in social sensing.
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

Towards Reliable Hypothesis Validation in Social Sensing Applications.
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

Privacy-Aware Edge Computing in Social Sensing Applications Using Ring Signatures.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Optimizing Online Task Allocation for Multi-Attribute Social Sensing.
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

FauxBuster: A Content-free Fauxtography Detector Using Social Media Comments.
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

Crowdsourcing-Based Copyright Infringement Detection in Live Video Streams.
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

Toward local family relationship discovery in location-based social network.
Soc. Netw. Anal. Min., 2017

ClariSense+: An enhanced traffic anomaly explanation service using social network feeds.
Pervasive Mob. Comput., 2017

Towards social-aware interesting place finding in social sensing applications.
Knowl. Based Syst., 2017

Exploring Scalability and Time-Sensitiveness in Reliable Social Sensing With Accuracy Assessment.
IEEE Access, 2017

UAPD: Predicting Urban Anomalies from Spatial-Temporal Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

A Neural Network Approach for Truth Discovery in Social Sensing.
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

Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Critical Source Selection in Social Sensing Applications.
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

Constraint-aware dynamic truth discovery in big data social media sensing.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Towards Diversified Local Users Identification Using Location Based Social Networks.
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

Towards Emotional-Aware Truth Discovery in Social Sensing Applications.
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

Topic-Aware Social Sensing with Arbitrary Source Dependency Graphs.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Towards Reliable Social Sensing in Cyber-Physical-Social Systems.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Theme-Relevant Truth Discovery on Twitter: An Estimation Theoretic Approach.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Hardness-Aware Truth Discovery in Social Sensing Applications.
Proceedings of the International Conference on Distributed Computing in Sensor Systems, 2016

Unsupervised Interesting Places Discovery in Location-Based Social Sensing.
Proceedings of the International Conference on Distributed Computing in Sensor Systems, 2016

Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On robust truth discovery in sparse social media sensing.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Towards unsupervised home location inference from online social media.
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

Spatial-Temporal Aware Truth Finding in Big Data Social Sensing Applications.
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

Confidence-aware truth estimation in social sensing applications.
Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015

On spatial-temporal truth finding in social sensing.
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

Towards Time-Sensitive Truth Discovery in Social Sensing Applications.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Time-Aware Truth Discovery in Social Sensing.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Link weight based truth discovery in social sensing.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

2014
Maximum likelihood analysis of conflicting observations in social sensing.
ACM Trans. Sens. Networks, 2014

Provenance-Assisted Classification in Social Networks.
IEEE J. Sel. Top. Signal Process., 2014

Surrogate mobile sensing.
IEEE Commun. Mag., 2014

Towards Cyber-Physical Systems in Social Spaces: The Data Reliability Challenge.
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014


Data Extrapolation in Social Sensing for Disaster Response.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014

Crowd-Sensing with Polarized Sources.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014

2013
On Credibility Estimation Tradeoffs in Assured Social Sensing.
IEEE J. Sel. Areas Commun., 2013

Extrapolation from participatory sensing data.
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013

Exploitation of Physical Constraints for Reliable Social Sensing.
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
On quantifying the quality of information in social sensing
PhD thesis, 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

On truth discovery in social sensing: a maximum likelihood estimation approach.
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012

Free-form text summarization in social sensing.
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012

Tweet Ranking Based on Heterogeneous Networks.
Proceedings of the COLING 2012, 2012

2011
OptiTuner: On Performance Composition and Server Farm Energy Minimization Application.
IEEE Trans. Parallel Distributed Syst., 2011

Distilling likely truth from noisy streaming data with Apollo.
Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011

On Bayesian interpretation of fact-finding in information networks.
Proceedings of the 14th International Conference on Information Fusion, 2011

Optimizing quality-of-information in cost-sensitive sensor data fusion.
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
End-User Diagnosis of Communication Paths in Sensor Network Systems.
Proceedings of the ICPP 2009, 2009


  Loading...