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 | 164 | 2020 |
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 | 74 | 2020 |
What comprises a good talking-head video generation?: A survey and benchmark L Chen, G Cui, Z Kou, H Zheng, C Xu arXiv preprint arXiv:2005.03201, 2020 | 66 | 2020 |
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 | 46 | 2021 |
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 | 42 | 2021 |
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 | 38 | 2022 |
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 | 29 | 2022 |
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 | 24 | 2022 |
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 | 17 | 2021 |
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 | 17 | 2020 |
Spatial-temporal dynamic graph attention networks for ride-hailing demand prediction W Pian, Y Wu, X Qu, J Cai, Z Kou arXiv preprint arXiv:2006.05905, 2020 | 16 | 2020 |
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 | 15 | 2022 |
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 | 15 | 2021 |
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 | 12 | 2022 |
On attacking out-domain uncertainty estimation in deep neural networks H Zeng, Z Yue, Y Zhang, Z Kou, L Shang, D Wang arXiv preprint arXiv:2210.02191, 2022 | 10 | 2022 |
Domain adaptation for question answering via question classification Z Yue, H Zeng, Z Kou, L Shang, D Wang arXiv preprint arXiv:2209.04998, 2022 | 9 | 2022 |
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 | 9 | 2021 |
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 | 8 | 2022 |
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 | 7 | 2021 |
How to make a BLT sandwich? learning to reason towards understanding web instructional videos S Wang, W Zhao, Z Kou, C Xu arXiv preprint arXiv:1812.00344, 2018 | 7 | 2018 |