Articles with public access mandates - Zhenrui YueLearn more
Not available anywhere: 1
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing
Y Zhang, R Zong, L Shang, H Zeng, Z Yue, D Wang
SECON 2023, 429-437, 2023
Mandates: US National Science Foundation
Available somewhere: 12
Contrastive domain adaptation for early misinformation detection: A case study on covid-19
Z Yue, H Zeng, Z Kou, L Shang, D Wang
CIKM 2022, 2423-2433, 2022
Mandates: US National Science Foundation
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
Z Yue, H Zeng, Z Kou, L Shang, D Wang
RecSys 2022, 59-70, 2022
Mandates: US National Science Foundation
Linear Recurrent Units for Sequential Recommendation
Z Yue, Y Wang, Z He, H Zeng, J McAuley, D Wang
WSDM 2024, 2023
Mandates: US National Science Foundation
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection
Z Kou, L Shang, Y Zhang, Z Yue, H Zeng, D Wang
IJCAI 2022, 5087-5093, 2022
Mandates: US National Science Foundation
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media
L Shang, Y Zhang, Z Yue, YJ Choi, H Zeng, D Wang
Best Paper Award at ASONAM 2022, 34-41, 2022
Mandates: US National Science Foundation
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup
H Zeng, Z Yue, Z Kou, L Shang, Y Zhang, D Wang
ASONAM 2022, 2022
Mandates: US National Science Foundation
Fairness-aware training of face attribute classifiers via adversarial robustness
H Zeng, Z Yue, Z Kou, Y Zhang, L Shang, D Wang
KBS 2023 264, 110356, 2023
Mandates: US National Science Foundation
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation
Z Yue, H Zeng, Z Kou, L Shang, D Wang
DCOSS 2022, 2022
Mandates: US National Science Foundation
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations
H Zeng, Z Yue, L Shang, Y Zhang, D Wang
BigData 2022, 1588-1593, 2022
Mandates: US National Science Foundation
On optimizing model generality in ai-based disaster damage assessment: A subjective logic-driven crowd-ai hybrid learning approach
Y Zhang, Z Ruohan, L Shang, H Zeng, Z Yue, D Wang
IJCAI 2023, 2023
Mandates: US National Science Foundation
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response
Y Zhang, L Shang, R Zong, H Zeng, Z Yue, D Wang
WWW 2023, 4050-4059, 2023
Mandates: US National Science Foundation
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification
Y Zhang, Z Kou, L Shang, H Zeng, Z Yue, D Wang
AAAI 2023 37 (12), 14637-14645, 2023
Mandates: US National Science Foundation
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