Yang Zhang
Orcid: 0000-0001-8135-369XAffiliations:
- University of Illinois Urbana-Champaign, School of Information Sciences, IL, USA
- University of Notre Dame, Department of Computer Science and Engineering, IN, USA
According to our database1,
Yang Zhang
authored at least 76 papers
between 2017 and 2023.
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Bibliography
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
CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation.
Pervasive Mob. Comput., 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
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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
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
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
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
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
Inf. Process. Manag., 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
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
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
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
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
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
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
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
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
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