Yang Zhang

113 papers A* 16A 9B 31C 1Misc 2Journal 37Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A conf
Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human-LLM Mixed Generation Paradigm.
WSDM
Ruohan Zong, Yang Zhang, Zhenrui Yue, Dong Wang
2026 A* conf
Red-Teaming Privacy-Protective Perturbations: Blind Face Restoration as an Attack Strategy.
WWW
Zelin Li, Yifan Liu, Huimin Zeng, Yaokun Liu, Ruichen Yao, Yang Zhang, Dong Wang
2025 J jnl
A Crowdsourcing-Driven AI Model Design Framework to Public Health Policy-Adherence Assessment.
IEEE Trans. Emerg. Top. Comput.
Yang Zhang, Ruohan Zong, Lanyu Shang, Dong Wang
2025 J jnl
Anti-Tamper Protection for Unauthorized Individual Image Generation.
CoRR
Zelin Li, Ruohan Zong, Yifan Liu, Ruichen Yao, Yaokun Liu, Yang Zhang, Dong Wang
2025 A* conf
Bidirectional Human-AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning.
IJCAI
Ruohan Zong, Yang Zhang, Lanyu Shang, Frank Stinar, Nigel Bosch, Dong Wang
2025 — conf
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning.
FAccT
Yifan Liu, Ruichen Yao, Yaokun Liu, Ruohan Zong, Zelin Li, Yang Zhang, Dong Wang
2025 J jnl
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning.
CoRR
Yifan Liu, Ruichen Yao, Yaokun Liu, Ruohan Zong, Zelin Li, Yang Zhang, Dong Wang
2025 A conf
Empowering LLMs to Synthesize AI and Human Intelligence for Explainable Public Health Misinformation Detection on Social Media.
ICWSM
Ruohan Zong, Yang Zhang, Dong Wang
2025 J jnl
Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation.
CoRR
Yifan Liu, Yaokun Liu, Zelin Li, Zhenrui Yue, Gyuseok Lee, Ruichen Yao, Yang Zhang, Dong Wang
2025 J jnl
MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane.
CoRR
Ruichen Yao, Aslanbek Murzakhmetov, Raaghav Pillai, Aliya Maussymbayeva, Zelin Li, Yifan Liu, Yaokun Liu, Lanyu Shang, Yang Zhang, Na Wei, Ximing Cai, Dong Wang
2025 A* conf
Modality Interactive Mixture-of-Experts for Fake News Detection.
WWW
Yifan Liu, Yaokun Liu, Zelin Li, Ruichen Yao, Yang Zhang, Dong Wang
2025 J jnl
Modality Interactive Mixture-of-Experts for Fake News Detection.
CoRR
Yifan Liu, Yaokun Liu, Zelin Li, Ruichen Yao, Yang Zhang, Dong Wang
2025 J jnl
MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok.
IEEE Trans. Big Data
Lanyu Shang, Yang Zhang, Yawen Deng, Dong Wang
2025 A* conf
SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis.
AAAI
Lanyu Shang, Bozhang Chen, Shiwei Liu, Yang Zhang, Ruohan Zong, Anav Vora, Ximing Cai, Na Wei, Dong Wang
2024 A conf
A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media.
ICWSM
Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang
2024 — conf
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation.
NAACL-HLT
Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang
2024 J jnl
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation.
CoRR
Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang
2024 — conf
Fair Federated Learning with Biased Vision-Language Models.
ACL (Findings)
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang
2024 A* conf
MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection.
WWW
Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang
2024 A conf
Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach.
ICDCS
Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang
2024 — conf
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments.
ACL (1)
Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang
2024 J jnl
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments.
CoRR
Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang
2024 J jnl
SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis.
CoRR
Lanyu Shang, Bozhang Chen, Shiwei Liu, Yang Zhang, Ruohan Zong, Anav Vora, Ximing Cai, Na Wei, Dong Wang
2024 A conf
SocialDrought: A Social and News Media Driven Dataset and Analytical Platform towards Understanding Societal Impact of Drought.
ICWSM
Lanyu Shang, Bozhang Chen, Anav Vora, Yang Zhang, Ximing Cai, Dong Wang
2024 A* conf
SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment.
WWW
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
2024 B conf
Transferable Sequential Recommendation via Vector Quantized Meta Learning.
IEEE Big Data
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang
2024 J jnl
Transferable Sequential Recommendation via Vector Quantized Meta Learning.
CoRR
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang
2024 — conf
Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper).
CI
Yang Zhang, Ruohan Zong, Lanyu Shang, Zhenrui Yue, Huimin Zeng, Yifan Liu, Dong Wang
2024 J jnl
Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19.
IEEE Trans. Emerg. Top. Comput.
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
2023 A* conf
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification.
AAAI
Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
2023 B conf
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing.
SECON
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
2023 J jnl
A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications.
Knowl. Based Syst.
Yang Zhang, Ruohan Zong, Lanyu Shang, Dong Wang
2023 A* conf
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response.
WWW
Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang
2023 A* conf
ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning.
WWW
Ruohan Zong, Yang Zhang, Lanyu Shang, Dong Wang
2023 J jnl
CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation.
Pervasive Mob. Comput.
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
2023 J jnl
Fairness-aware training of face attribute classifiers via adversarial robustness.
Knowl. Based Syst.
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Yang Zhang, Lanyu Shang, Dong Wang
2023 A conf
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning.
CIKM
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang
2023 — conf
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning.
ACL (1)
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang
2023 J jnl
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning.
CoRR
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang
2023 A* conf
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition.
IJCAI
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
2023 A* conf
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach.
IJCAI
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang
2023 Misc conf
Online Detection of Golden Circuit Cutting Points.
QCE
Daniel T. Chen, Ethan H. Hansen, Xinpeng Li, Aaron Orenstein, Vinooth Kulkarni, Vipin Chaudhary, Qiang Guan, Ji Liu, Yang Zhang, Shuai Xu
2022 A* conf
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection.
WWW
Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang
2022 B conf
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media.
ASONAM
Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang
2022 J jnl
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data.
IEEE Trans. Big Data
Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka
2022 B conf
A Privacy-aware Distributed Knowledge Graph Approach to QoIS-driven COVID-19 Misinformation Detection.
IWQoS
Lanyu Shang, Ziyi Kou, Yang Zhang, Jin Chen, Dong Wang
2022 J jnl
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing.
Knowl. Based Syst.
Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Dong Wang
2022 B conf
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations.
IEEE Big Data
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
2022 A* conf
Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition.
WWW
Ziyi Kou, Lanyu Shang, Yang Zhang, Siyu Duan, Dong Wang
2022 J jnl
CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment.
IEEE Trans. Comput. Soc. Syst.
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
2022 A* conf
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection.
IJCAI
Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang
2022 J jnl
CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection.
Proc. ACM Hum. Comput. Interact.
Ziyi Kou, Yang Zhang, Daniel Zhang, Dong Wang
2022 J jnl
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment.
Proc. ACM Hum. Comput. Interact.
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing.
Proc. ACM Hum. Comput. Interact.
Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Huimin Zeng, Dong Wang
2022 J jnl
HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection.
Proc. ACM Hum. Comput. Interact.
Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
2022 A* conf
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.
IJCAI
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.
CoRR
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach.
IEEE Trans. Geosci. Remote. Sens.
Yang Zhang, Ruohan Zong, Lanyu Shang, Dong Wang
2022 J jnl
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach.
Knowl. Based Syst.
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning.
Inf. Process. Manag.
Lanyu Shang, Yang Zhang, Christina Youn, Dong Wang
2022 B conf
SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation.
SMARTCOMP
Lanyu Shang, Yang Zhang, Quanhui Ye, Na Wei, Dong Wang
2022 B conf
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.
ASONAM
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
2022 J jnl
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.
CoRR
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
2021 B conf
A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment.
IWQoS
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang
2021 — conf
A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok.
IEEE BigData
Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang
2021 B conf
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing.
ASONAM
Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Dong Wang
2021 J jnl
AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media.
CoRR
Lanyu Shang, Yang Zhang, Yuheng Zha, Yingxi Chen, Christina Youn, Dong Wang
2021 J jnl
AOMD: An analogy-aware approach to offensive meme detection on social media.
Inf. Process. Manag.
Lanyu Shang, Yang Zhang, Yuheng Zha, Yingxi Chen, Christina Youn, Dong Wang
2021 — conf
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation.
IEEE BigData
Ziyi Kou, Lanyu Shang, Huimin Zeng, Yang Zhang, Dong Wang
2021 B conf
FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference.
IWQoS
Ziyi Kou, Yang Zhang, Lanyu Shang, Dong Wang
2021 B conf
FakeSens: A Social Sensing Approach to COVID-19 Misinformation Detection on Social Media.
DCOSS
Ziyi Kou, Lanyu Shang, Yang Zhang, Christina Youn, Dong Wang
2021 J jnl
FauxWard: A Graph Neural Network Approach to Fauxtography Detection Using Social Media Comments.
CoRR
Lanyu Shang, Yang Zhang, Daniel Zhang, Dong Wang
2021 B conf
KnowMeme: A Knowledge-enriched Graph Neural Network Solution to Offensive Meme Detection.
e-Science
Lanyu Shang, Christina Youn, Yuheng Zha, Yang Zhang, Dong Wang
2021 J jnl
On migratable traffic risk estimation in urban sensing: A social sensing based deep transfer network approach.
Ad Hoc Networks
Yang Zhang, Daniel Zhang, Dong Wang
2021 — conf
PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts.
PAKDD (1)
Siamul Karim Khan, Daniel Yue Zhang, Ziyi Kou, Yang Zhang, Dong Wang
2021 J jnl
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks.
IEEE Trans. Big Data
Daniel Zhang, Yang Zhang, Qi Li, Dong Wang
2021 B conf
StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing.
HCOMP
Yang Zhang, Lanyu Shang, Ruohan Zong, Zeng Wang, Ziyi Kou, Dong Wang
2021 B conf
SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications.
IWQoS
Yang Zhang, Ruohan Zong, Lanyu Shang, Md. Tahmid Rashid, Dong Wang
2020 B conf
A Hybrid Transfer Learning Approach to Migratable Disaster Assessment in Social Media Sensing.
ASONAM
Yang Zhang, Ruohan Zong, Dong Wang
2020 B conf
A Multi-modal Graph Neural Network Approach to Traffic Risk Forecasting in Smart Urban Sensing.
SECON
Yang Zhang, Xiangyu Dong, Lanyu Shang, Daniel Zhang, Dong Wang
2020 B conf
CompDrone: Towards Integrated Computational Model and Social Drone Based Wildfire Monitoring.
DCOSS
Md. Tahmid Rashid, Yang Zhang, Daniel Yue Zhang, Dong Wang
2020 A* conf
Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention.
AAAI
Daniel Yue Zhang, Yifeng Huang, Yang Zhang, Dong Wang
2020 J jnl
FauxWard: a graph neural network approach to fauxtography detection using social media comments.
Soc. Netw. Anal. Min.
Lanyu Shang, Yang Zhang, Daniel Zhang, Dong Wang
2020 B conf
PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing.
IWQoS
Yang Zhang, Xiangyu Dong, Md. Tahmid Rashid, Lanyu Shang, Jun Han, Daniel Zhang, Dong Wang
2020 B conf
TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing.
SECON
Yang Zhang, Ruohan Zong, Jun Han, Daniel Zhang, Md. Tahmid Rashid, Dong Wang
2019 B conf
A syntax-based learning approach to geo-locating abnormal traffic events using social sensing.
ASONAM
Yang Zhang, Xiangyu Dong, Daniel Yue Zhang, Dong Wang
2019 J jnl
An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing.
CoRR
Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang
2019 J jnl
An online reinforcement learning approach to quality-cost-aware task allocation for multi-attribute social sensing.
Pervasive Mob. Comput.
Yang Zhang, Daniel Yue Zhang, Nathan Vance, Dong Wang
2019 A conf
CrowdLearn: A Crowd-AI Hybrid System for Deep Learning-based Damage Assessment Applications.
ICDCS
Daniel Yue Zhang, Yang Zhang, Qi Li, Thomas Plummer, Dong Wang
2019 B conf
DeepRisk: A Deep Transfer Learning Approach to Migratable Traffic Risk Estimation in Intelligent Transportation Using Social Sensing.
DCOSS
Yang Zhang, Hongxiao Wang, Daniel Zhang, Dong Wang
2019 A conf
EdgeBatch: Towards AI-Empowered Optimal Task Batching in Intelligent Edge Systems.
RTSS
Daniel Zhang, Nathan Vance, Yang Zhang, Md. Tahmid Rashid, Dong Wang
2019 J jnl
On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications.
IEEE Trans. Big Data
Daniel Zhang, Dong Wang, Nathan Vance, Yang Zhang, Steven Mike
2019 — conf
Poster Abstract: A Dynamic Data-Driven Prediction Model for Sparse Collaborative Sensing Applications.
INFOCOM Workshops
Daniel Zhang, Yang Zhang, Dong Wang
2019 B conf
RiskCast: social sensing based traffic risk forecasting via inductive multi-view learning.
ASONAM
Yang Zhang, Hongxiao Wang, Daniel Yue Zhang, Yiwen Lu, Dong Wang
2019 — conf
Social Edge Intelligence: Integrating Human and Artificial Intelligence at the Edge.
CogMI
Dong Wang, Daniel Zhang, Yang Zhang, Md. Tahmid Rashid, Lanyu Shang, Na Wei
2019 B conf
Through the eyes of a poet: classical poetry recommendation with visual input on social media.
ASONAM
Daniel Yue Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, Dong Wang
2019 — conf
Towards Optimal Incentive-Driven Verification in Social Sensing Based Smart City Applications.
HPCC/SmartCity/DSS
Nathan Vance, Daniel Zhang, Yang Zhang, Dong Wang
2019 — conf
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing.
IEEE BigData
Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang
2018 B conf
A Light-Weight and Quality-Aware Online Adaptive Sampling Approach for Streaming Social Sensing in Cloud Computing.
ICPADS
Yang Zhang, Daniel Zhang, Nathan Vance, Qi Li, Dong Wang
2018 A conf
A Real-Time and Non-Cooperative Task Allocation Framework for Social Sensing Applications in Edge Computing Systems.
RTAS
Daniel Zhang, Yue Ma, Yang Zhang, Suwen Lin, Xiaobo Sharon Hu, Dong Wang
2018 Misc conf
Cooperative-Competitive Task Allocation in Edge Computing for Delay-Sensitive Social Sensing.
SEC
Daniel Zhang, Yue Ma, Chao Zheng, Yang Zhang, Xiaobo Sharon Hu, Dong Wang
2018 B conf
Crowdsourcing-Based Copyright Infringement Detection in Live Video Streams.
ASONAM
Daniel Yue Zhang, Qi Li, Herman Tong, Jose Badilla, Yang Zhang, Dong Wang
2018 B conf
On Opinion Characterization in Social Sensing: A Multi-view Subspace Learning Approach.
DCOSS
Yang Zhang, Nathan Vance, Daniel Zhang, Dong Wang
2018 B conf
Optimizing Online Task Allocation for Multi-Attribute Social Sensing.
ICCCN
Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang
2018 B conf
Poster: On Cost-Sensitive Task Allocation in Social Sensing: An Online Learning Approach.
DCOSS
Yang Zhang, Dong Wang
2018 B conf
Privacy-Aware Edge Computing in Social Sensing Applications Using Ring Signatures.
ICPADS
Nathan Vance, Daniel Yue Zhang, Yang Zhang, Dong Wang
2018 — conf
RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing.
IEEE BigData
Yang Zhang, Yiwen Lu, Daniel Zhang, Lanyu Shang, Dong Wang
2018 B conf
Robust State Prediction with Incomplete and Noisy Measurements in Collaborative Sensing.
MASS
Daniel Zhang, Yang Zhang, Qi Li, Nathan Vance, Dong Wang
2018 — conf
StreamGuard: A Bayesian Network Approach to Copyright Infringement Detection Problem in Large-scale Live Video Sharing Systems.
IEEE BigData
Daniel Yue Zhang, Lixing Song, Qi Li, Yang Zhang, Dong Wang
2018 C conf
Towards Optimized Online Task Allocation in Cost-Sensitive Crowdsensing Applications.
IPCCC
Yang Zhang, Daniel Zhang, Qi Li, Dong Wang
2018 B conf
Towards Reliable Missing Truth Discovery in Online Social Media Sensing Applications.
ASONAM
Daniel Yue Zhang, Jose Badilla, Yang Zhang, Dong Wang
2017 — conf
Constraint-aware dynamic truth discovery in big data social media sensing.
IEEE BigData
Daniel Yue Zhang, Dong Wang, Yang Zhang
2017 — conf
Large-scale point-of-interest category prediction using natural language processing models.
IEEE BigData
Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang