• One paper accepted by IJCAI2022
• I will join GoDaddy as a machine learning software engineer intern from May 2022
• One paper accepted by WWW2022
• One paper accepted by CSCW2022

My Skills

Awards

• Student Conference Grant: IEEE INFOCOM 2021, IEEE BigData 2021
• Academic Tuition Scholarship, University of Rochester

Main Publications

• Kou, Z., Shang, L., Zhang, Y., Yue, Z., Zeng H. and Wang, D., 2022, July. Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation based COVID-19 Misinformation Detection. In 2022 International Joint Conference on Artificial Intelligence (IJCAI'22)
• Kou, Z., Shang, L., Zhang, Y., Duan, S. and Wang, D., 2022, April. Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition. In 2022 International Conference on World Wide Web (WWW'22)
• Shang, L., Kou, Z., Zhang, Y. and Wang, D., 2022, April. A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection. In 2022 International Conference on World Wide Web (WWW'22)
• Kou, Z., Zhang, Y., Zhang, D.Y. and Wang, D., 2022, November. CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection. In 2022 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW'22)
• Kou, Z., Shang, L., Zeng, H, Zhang, Y., and Wang, D., 2021, December. ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation. In 2021 IEEE International Conference on Big Data (BigData'21)
• Kou, Z., Shang, L., Zhang, Y., Wang, D., 2022, January. HC-COVID: A Hierarchical Crowdsource Knowledge Graph to Explainable COVID-19 Misinformation Detection. In Proceedings of the 2022 ACM Conference on Supporting Groupwork (GROUP'22)
• Kou, Z., Zhang, Y., Shang, L. and Wang, D., 2021, June. FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference. In 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS'21)
• Zhang, D.Y., Kou, Z. and Wang, D., 2021, May. FedSens: A Federated Learning Approach for Smart Health Sensing with Class Imbalance in Resource Constrained Edge Computing. In IEEE INFOCOM 2021-IEEE Conference on Computer Communications (INFOCOM' 21)
• Kou, Z., Cui, G., Wang, S., Zhao, W. and Xu, C., 2021. Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV'21)
• Kou, Z., Zhang, D.Y., Shang, L. and Wang, D., 2020, December. ExFaux: A Weakly Supervised Approach to Explainable Fauxtography Detection. In 2020 IEEE International Conference on Big Data (BigData'20)
• Chen, L., Cui, G., Liu, C., Kou, Z., Xu, Y. and Xu, C., 2020, August. Talking-head generation with rhythmic head motion. In 2020 European Conference on Computer Vision (ECCV'20)