Yang Zhang

Affiliations:
  • University of Notre Dame, Department of Computer Science and Engineering, IN, USA


According to our database1, Yang Zhang authored at least 51 papers between 2017 and 2022.

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

Timeline

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Bibliography

2022
On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach.
IEEE Trans. Geosci. Remote. Sens., 2022

HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection.
Proc. ACM Hum. Comput. Interact., 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

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

2021
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks.
IEEE Trans. Big Data, 2021

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

KnowMeme: A Knowledge-enriched Graph Neural Network Solution to Offensive Meme Detection.
Proceedings of the 17th IEEE International Conference on eScience, 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
FauxWard: a graph neural network approach to fauxtography detection using social media comments.
Soc. Netw. Anal. Min., 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

CompDrone: Towards Integrated Computational Model and Social Drone Based Wildfire Monitoring.
Proceedings of the 16th International Conference on Distributed Computing in Sensor Systems, 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

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

EdgeBatch: Towards AI-Empowered Optimal Task Batching in Intelligent Edge Systems.
Proceedings of the IEEE Real-Time Systems Symposium, 2019

Poster Abstract: A Dynamic Data-Driven Prediction Model for Sparse Collaborative Sensing Applications.
Proceedings of the IEEE INFOCOM 2019, 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

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

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

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
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

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

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


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