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Lihi Idan

Orcid: 0000-0001-7056-7801

Affiliations:
  • Texas A&M University, College Station, TX, USA
  • Harvard University, Cambridge, MA, USA (former)
  • Yale University, Department of Computer Science, New Haven, CT, USA (former, PhD 2022)


According to our database1, Lihi Idan authored at least 10 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Responsible Uplift Modeling.
[BibTeX]
[DOI]
Lihi Idan
,
Ming Li
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024
Beyond Purchase Intentions: Mining Behavioral Intentions of Social-Network Users.
[BibTeX]
[DOI]
Lihi Idan
Int. J. Hum. Comput. Interact., March, 2024

Effective Generative AI: The Human-Algorithm Centaur.
[BibTeX]
[DOI]
Soroush Saghafian
,
Lihi Idan
CoRR, 2024

Towards Unsupervised Validation of Anomaly-Detection Models.
[BibTeX]
[DOI]
Lihi Idan
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Effective Reward Schemes for Tardiness Optimization.
[BibTeX]
[DOI]
Lihi Idan
Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

2022
PRShare: A Framework for Privacy-preserving, Interorganizational Data Sharing.
[BibTeX]
[DOI]
Lihi Idan
,
Joan Feigenbaum
ACM Trans. Priv. Secur., 2022

Temporal-Attribute Inference Using Dynamic Bayesian Networks.
[BibTeX]
[DOI]
Lihi Idan
Proceedings of the Computational Science - ICCS 2022, 2022

A Network-Based, Multidisciplinary Approach to Intention Inference.
[BibTeX]
[DOI]
Lihi Idan
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Data exploitation and privacy protection in the era of data sharing.
[BibTeX]
[DOI]
Lihi Idan
PhD thesis, 2021

2019
Show me your friends, and I will tell you whom you vote for: predicting voting behavior in social networks.
[BibTeX]
[DOI]
Lihi Idan
,
Joan Feigenbaum
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019


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