Articles with public access mandates - Ziyi KouLearn more
Not available anywhere: 8
Fairfl: A fair federated learning approach to reducing demographic bias in privacy-sensitive classification models
DY Zhang, Z Kou, D Wang
2020 IEEE International Conference on Big Data (Big Data), 1051-1060, 2020
Mandates: US National Science Foundation, US Department of Defense
A multimodal misinformation detector for covid-19 short videos on tiktok
L Shang, Z Kou, Y Zhang, D Wang
2021 IEEE international conference on big data (big data), 899-908, 2021
Mandates: US National Science Foundation
Fedsens: A federated learning approach for smart health sensing with class imbalance in resource constrained edge computing
DY Zhang, Z Kou, D Wang
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
Mandates: US National Science Foundation, US Department of Defense
Exfaux: A weakly supervised approach to explainable fauxtography detection
Z Kou, DY Zhang, L Shang, D Wang
2020 IEEE International Conference on Big Data (Big Data), 631-636, 2020
Mandates: US National Science Foundation, US Department of Defense
Fakesens: A social sensing approach to covid-19 misinformation detection on social media
Z Kou, L Shang, Y Zhang, C Youn, D Wang
2021 17th International Conference on Distributed Computing in Sensor …, 2021
Mandates: US National Science Foundation, US Department of Defense
Faircrowd: Fair human face dataset sampling via batch-level crowdsourcing bias inference
Z Kou, Y Zhang, L Shang, D Wang
2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021
Mandates: US National Science Foundation, US Department of Defense
Exgfair: A crowdsourcing data exchange approach to fair human face datasets augmentation
Z Kou, L Shang, H Zeng, Y Zhang, D Wang
2021 IEEE International Conference on Big Data (Big Data), 1285-1290, 2021
Mandates: US National Science Foundation
A crowd-driven dynamic neural architecture searching approach to quality-aware streaming disaster damage assessment
Y Zhang, R Zong, Z Kou, L Shang, D Wang
2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-6, 2021
Mandates: US National Science Foundation, US Department of Defense
Available somewhere: 25
Talking-head generation with rhythmic head motion
L Chen, G Cui, C Liu, Z Li, Z Kou, Y Xu, C Xu
European Conference on Computer Vision, 35-51, 2020
Mandates: US National Science Foundation
Hc-covid: A hierarchical crowdsource knowledge graph approach to explainable covid-19 misinformation detection
Z Kou, L Shang, Y Zhang, D Wang
Proceedings of the ACM on Human-Computer Interaction 6 (GROUP), 1-25, 2022
Mandates: US National Science Foundation
Contrastive domain adaptation for early misinformation detection: A case study on covid-19
Z Yue, H Zeng, Z Kou, L Shang, D Wang
Proceedings of the 31st ACM International Conference on Information …, 2022
Mandates: US National Science Foundation
A duo-generative approach to explainable multimodal covid-19 misinformation detection
L Shang, Z Kou, Y Zhang, D Wang
Proceedings of the ACM Web Conference 2022, 3623-3631, 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
Proceedings of the 16th ACM Conference on Recommender Systems, 59-70, 2022
Mandates: US National Science Foundation
Collablearn: An uncertainty-aware crowd-ai collaboration system for cultural heritage damage assessment
Y Zhang, R Zong, Z Kou, L Shang, D Wang
IEEE Transactions on Computational Social Systems 9 (5), 1515-1529, 2021
Mandates: US National Science Foundation, US Department of Defense
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, 5087-5093, 2022
Mandates: US National Science Foundation
CrowdGraph: A crowdsourcing multi-modal knowledge graph approach to explainable fauxtography detection
Z Kou, Y Zhang, D Zhang, D Wang
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-28, 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
2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022
Mandates: US National Science Foundation
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach
Y Zhang, R Zong, Z Kou, L Shang, D Wang
Knowledge-Based Systems 239, 107984, 2022
Mandates: US National Science Foundation, US Department of Defense
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing
Y Zhang, R Zong, L Shang, Z Kou, D Wang
Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021
Mandates: US National Science Foundation, US Department of Defense
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
Z Kou, S Pei, Y Tian, X Zhang
Mandates: US National Science Foundation
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