Chuanhao Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024

PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference.

[BibT_eX]

[DOI]

CoRR, 2024

STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making.

[BibT_eX]

[DOI]

CoRR, 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.

[BibT_eX]

[DOI]

CoRR, 2024

User Welfare Optimization in Recommender Systems with Competing Content Creators.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Incentivized Truthful Communication for Federated Bandits.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Communication-Efficient Federated Non-Linear Bandit Optimization.

[BibT_eX]

[DOI]

Chuanhao Li

Chong Liu

Yu-Xiang Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Linear Contextual Bandits with Heterogeneous Clients.

[BibT_eX]

[DOI]

Ethan Blaser

Chuanhao Li

Hongning Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Pure Exploration in Asynchronous Federated Bandits.

[BibT_eX]

[DOI]

CoRR, 2023

Incentivizing Exploration in Linear Contextual Bandits under Information Gap.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

[BibT_eX]

[DOI]

Fan Yao

Chuanhao Li

Karthik Abinav Sankararaman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Incentivized Communication for Federated Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How Bad is Top-K Recommendation under Competing Content Creators?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Communication Efficient Distributed Learning for Kernelized Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communication Efficient Federated Learning for Generalized Linear Bandits.

[BibT_eX]

[DOI]

Chuanhao Li

Hongning Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning from a Learning User for Optimal Recommendations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits.

[BibT_eX]

[DOI]

Chuanhao Li

Hongning Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Learning the Optimal Recommendation from Explorative Users.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Incentivizing Exploration in Linear Bandits under Information Gap.

[BibT_eX]

[DOI]

CoRR, 2021

When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution.

[BibT_eX]

[DOI]

Chuanhao Li

Qingyun Wu

Hongning Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unifying Clustered and Non-stationary Bandits.

[BibT_eX]

[DOI]

Chuanhao Li

Qingyun Wu

Hongning Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2018

ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals.

[BibT_eX]

[DOI]

Sensors, 2017

Chuanhao Li

Known people with the same name:

Bibliography

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