Tao Han

Orcid: 0000-0001-9914-6824

Affiliations:
  • Beihang University, School of Computer Science and Engineering, Beijing, China


According to our database1, Tao Han authored at least 15 papers between 2016 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Large Scale Anonymous Collusion and its detection in crowdsourcing.
Expert Syst. Appl., 2025

2024
Mixture of Experts based Multi-task Supervise Learning from Crowds.
CoRR, 2024

2023
WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation.
J. King Saud Univ. Comput. Inf. Sci., December, 2023

Hint: harnessing the wisdom of crowds for handling multi-phase tasks.
Neural Comput. Appl., November, 2023

An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing.
Appl. Intell., May, 2023

TDG4Crowd: Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasks.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022
Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

Effectiveness of Malicious Behavior and Its Impact on Crowdsourcing.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing.
Frontiers Comput. Sci., 2021

Crowd4ME: A Crowdsourcing-Based Micro-expression Collection Platform.
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

2020
Predicting Crowdsourcing Worker Performance with Knowledge Tracing.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Structured Probabilistic End-to-End Learning from Crowds.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2017
Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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