Ziyi Kou

Orcid: 0000-0002-9916-0930

According to our database1, Ziyi Kou authored at least 43 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
UGMAE: A Unified Framework for Graph Masked Autoencoders.
CoRR, 2024

2023
Fairness-aware training of face attribute classifiers via adversarial robustness.
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

Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders.
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

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.
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

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

Domain Adaptation for Question Answering via Question Classification.
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

Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts.
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

A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok.
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
What comprises a good talking-head video generation?: A Survey and Benchmark.
CoRR, 2020

Talking-Head Generation with Rhythmic Head Motion.
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

ExFaux: A Weakly Supervised Approach to Explainable Fauxtography Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Weakly Supervised Object Localization with Inter-Intra Regulated CAMs.
CoRR, 2019

Weakly Supervised Localization Using Background Images.
CoRR, 2019

2018
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos.
CoRR, 2018


  Loading...