| 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 | 202 | 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 | 112 | 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 | 77 | 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 | 69 | 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 | 56 | 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 | 53 | 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 | 48 | 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 | 39 | 2022 |
| 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 | 25 | 2022 |
| 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 | 21 | 2020 |
| 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 | 20 | 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 | 20 | 2020 |
| 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 | 19 | 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 | 18 | 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 | 14 | 2022 |
| 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 | 13 | 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 | 12 | 2022 |
| 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 | 11 | 2023 |
| A privacy-aware distributed knowledge graph approach to qois-driven covid-19 misinformation detection. In 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS) L Shang, Z Kou, Y Zhang, J Chen, D Wang IEEE, 2022 | 11 | 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 | 11 | 2021 |
