Yang Zhang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 64

Top Topics

Damage Assessment

Noisy Measurements

Top Venues

Proc. ACM Hum. Comput. Interact.

Knowl. Based Syst.

Publications

Yang Zhang, Ruohan Zong, Lanyu Shang, Dong Wang
A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications. Knowl. Based Syst. 278 (2023)
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Yang Zhang, Lanyu Shang, Dong Wang
Fairness-aware training of face attribute classifiers via adversarial robustness. Knowl. Based Syst. 264 (2023)
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. ACL (1) (2023)
Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification. AAAI (2023)
Lanyu Shang, Yang Zhang, Quanhui Ye, Shannon L. Speir, Brett W. Peters, Ying Wu, Casey J. Stoffel, Diogo Bolster, Jennifer L. Tank, Danielle M. Wood, Na Wei, Dong Wang
CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation. Pervasive Mob. Comput. 92 (2023)
Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. WWW (2023)
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. SECON (2023)
Ruohan Zong, Yang Zhang, Lanyu Shang, Dong Wang
ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning. WWW (2023)
Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection. Proc. ACM Hum. Comput. Interact. 6 (GROUP) (2022)
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. CoRR (2022)
Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Dong Wang
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing. Knowl. Based Syst. 249 (2022)
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach. Knowl. Based Syst. 239 (2022)
Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection. WWW (2022)
Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection. IJCAI (2022)
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment. IEEE Trans. Comput. Soc. Syst. 9 (5) (2022)
Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data. IEEE Trans. Big Data 8 (6) (2022)
Lanyu Shang, Yang Zhang, Quanhui Ye, Na Wei, Dong Wang
SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation. SMARTCOMP (2022)
Ziyi Kou, Yang Zhang, Daniel Zhang, Dong Wang
CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. CoRR (2022)
Lanyu Shang, Ziyi Kou, Yang Zhang, Jin Chen, Dong Wang
A Privacy-aware Distributed Knowledge Graph Approach to QoIS-driven COVID-19 Misinformation Detection. IWQoS (2022)
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media. ASONAM (2022)
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. ASONAM (2022)
Ziyi Kou, Lanyu Shang, Yang Zhang, Siyu Duan, Dong Wang
Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition. WWW (2022)
Ziyi Kou, Yang Zhang, Daniel Zhang, Dong Wang
CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Huimin Zeng, Dong Wang
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. IJCAI (2022)
Yang Zhang, Ruohan Zong, Lanyu Shang, Dong Wang
On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Huimin Zeng, Dong Wang
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations. Big Data (2022)
Yang Zhang, Lanyu Shang, Ruohan Zong, Zeng Wang, Ziyi Kou, Dong Wang
StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing. HCOMP (2021)
Yang Zhang, Xiangyu Dong, Md. Tahmid Rashid, Lanyu Shang, Jun Han, Daniel Zhang, Dong Wang
PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing. IWQoS (2020)
Lanyu Shang, Yang Zhang, Daniel Zhang, Dong Wang
FauxWard: a graph neural network approach to fauxtography detection using social media comments. Soc. Netw. Anal. Min. 10 (1) (2020)
Daniel Yue Zhang, Yifeng Huang, Yang Zhang, Dong Wang
Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention. AAAI (2020)
Md. Tahmid Rashid, Yang Zhang, Daniel Yue Zhang, Dong Wang
CompDrone: Towards Integrated Computational Model and Social Drone Based Wildfire Monitoring. DCOSS (2020)
Yang Zhang, Hongxiao Wang, Daniel Zhang, Dong Wang
DeepRisk: A Deep Transfer Learning Approach to Migratable Traffic Risk Estimation in Intelligent Transportation Using Social Sensing. DCOSS (2019)
Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. IEEE BigData (2019)
Daniel Yue Zhang, Yang Zhang, Qi Li, Thomas Plummer, Dong Wang
CrowdLearn: A Crowd-AI Hybrid System for Deep Learning-based Damage Assessment Applications. ICDCS (2019)
Daniel Zhang, Yang Zhang, Dong Wang
Poster Abstract: A Dynamic Data-Driven Prediction Model for Sparse Collaborative Sensing Applications. INFOCOM Workshops (2019)
Daniel Zhang, Dong Wang, Nathan Vance, Yang Zhang, Steven Mike
On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications. IEEE Trans. Big Data 5 (2) (2019)
Daniel Zhang, Nathan Vance, Yang Zhang, Md. Tahmid Rashid, Dong Wang
EdgeBatch: Towards AI-Empowered Optimal Task Batching in Intelligent Edge Systems. RTSS (2019)
Yang Zhang, Xiangyu Dong, Daniel Yue Zhang, Dong Wang
A syntax-based learning approach to geo-locating abnormal traffic events using social sensing. ASONAM (2019)
Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang
An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing. CoRR (2019)
Yang Zhang, Hongxiao Wang, Daniel Yue Zhang, Yiwen Lu, Dong Wang
RiskCast: social sensing based traffic risk forecasting via inductive multi-view learning. ASONAM (2019)
Daniel Yue Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, Dong Wang
Through the eyes of a poet: classical poetry recommendation with visual input on social media. ASONAM (2019)
Nathan Vance, Daniel Zhang, Yang Zhang, Dong Wang
Towards Optimal Incentive-Driven Verification in Social Sensing Based Smart City Applications. HPCC/SmartCity/DSS (2019)
Dong Wang, Daniel Zhang, Yang Zhang, Md. Tahmid Rashid, Lanyu Shang, Na Wei
Social Edge Intelligence: Integrating Human and Artificial Intelligence at the Edge. CogMI (2019)
Yang Zhang, Daniel Yue Zhang, Nathan Vance, Dong Wang
An online reinforcement learning approach to quality-cost-aware task allocation for multi-attribute social sensing. Pervasive Mob. Comput. 60 (2019)
Daniel Yue Zhang, Qi Li, Herman Tong, Jose Badilla, Yang Zhang, Dong Wang
Crowdsourcing-Based Copyright Infringement Detection in Live Video Streams. ASONAM (2018)
Daniel Yue Zhang, Jose Badilla, Yang Zhang, Dong Wang
Towards Reliable Missing Truth Discovery in Online Social Media Sensing Applications. ASONAM (2018)
Yang Zhang, Daniel Zhang, Qi Li, Dong Wang
Towards Optimized Online Task Allocation in Cost-Sensitive Crowdsensing Applications. IPCCC (2018)
Daniel Zhang, Yue Ma, Yang Zhang, Suwen Lin, Xiaobo Sharon Hu, Dong Wang
A Real-Time and Non-Cooperative Task Allocation Framework for Social Sensing Applications in Edge Computing Systems. RTAS (2018)
Yang Zhang, Dong Wang
Poster: On Cost-Sensitive Task Allocation in Social Sensing: An Online Learning Approach. DCOSS (2018)
Nathan Vance, Daniel Yue Zhang, Yang Zhang, Dong Wang
Privacy-Aware Edge Computing in Social Sensing Applications Using Ring Signatures. ICPADS (2018)
Yang Zhang, Yiwen Lu, Daniel Zhang, Lanyu Shang, Dong Wang
RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing. IEEE BigData (2018)
Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang
Optimizing Online Task Allocation for Multi-Attribute Social Sensing. ICCCN (2018)
Yang Zhang, Nathan Vance, Daniel Zhang, Dong Wang
On Opinion Characterization in Social Sensing: A Multi-view Subspace Learning Approach. DCOSS (2018)
Daniel Yue Zhang, Lixing Song, Qi Li, Yang Zhang, Dong Wang
StreamGuard: A Bayesian Network Approach to Copyright Infringement Detection Problem in Large-scale Live Video Sharing Systems. IEEE BigData (2018)
Daniel Zhang, Yang Zhang, Qi Li, Nathan Vance, Dong Wang
Robust State Prediction with Incomplete and Noisy Measurements in Collaborative Sensing. MASS (2018)
Daniel Zhang, Yue Ma, Chao Zheng, Yang Zhang, Xiaobo Sharon Hu, Dong Wang
Cooperative-Competitive Task Allocation in Edge Computing for Delay-Sensitive Social Sensing. SEC (2018)
Yang Zhang, Daniel Zhang, Nathan Vance, Qi Li, Dong Wang
A Light-Weight and Quality-Aware Online Adaptive Sampling Approach for Streaming Social Sensing in Cloud Computing. ICPADS (2018)
Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang
Large-scale point-of-interest category prediction using natural language processing models. IEEE BigData (2017)
Daniel Yue Zhang, Dong Wang, Yang Zhang
Constraint-aware dynamic truth discovery in big data social media sensing. IEEE BigData (2017)