Ziyi Kou
Orcid: 0000-0002-9916-0930
According to our database1,
Ziyi Kou
authored at least 47 papers
between 2018 and 2024.
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Bibliography
2024
LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Knowl. Based Syst., March, 2023
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision.
IEEE Trans. Big Data, February, 2023
Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment.
IEEE Trans. Comput. Soc. Syst., 2022
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing.
Proc. ACM Hum. Comput. Interact., 2022
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment.
Proc. ACM Hum. Comput. Interact., 2022
CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection.
Proc. ACM Hum. Comput. Interact., 2022
HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection.
Proc. ACM Hum. Comput. Interact., 2022
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing.
Knowl. Based Syst., 2022
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach.
Knowl. Based Syst., 2022
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
A Privacy-aware Distributed Knowledge Graph Approach to QoIS-driven COVID-19 Misinformation Detection.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
How to Make a BLT Sandwich? Learning VQA towards Understanding Web Instructional Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
FedSens: A Federated Learning Approach for Smart Health Sensing with Class Imbalance in Resource Constrained Edge Computing.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021
FakeSens: A Social Sensing Approach to COVID-19 Misinformation Detection on Social Media.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction.
Proceedings of the From Data to Models and Back - 9th International Symposium, 2020
FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
2018
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos.
CoRR, 2018