Junfan Li

Orcid: 0000-0003-1027-4251

According to our database1, Junfan Li authored at least 17 papers between 2018 and 2024.

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

Timeline

2018
2019
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2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks.
IEEE Trans. Veh. Technol., August, 2024

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data.
CoRR, 2024

DOTA: Distributional Test-Time Adaptation of Vision-Language Models.
CoRR, 2024

Online Optimization for Learning to Communicate over Time-Correlated Channels.
CoRR, 2024

Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis.
CoRR, 2024

On the Necessity of Collaboration for Online Model Selection with Decentralized Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression.
Proceedings of the International Conference on Machine Learning, 2023

Improved Kernel Alignment Regret Bound for Online Kernel Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Worst-case regret analysis of computationally budgeted online kernel selection.
Mach. Learn., 2022

Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
A New Learning Algorithm with General Loss for Neural Networks with Random Weights.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
在线核选择的对抗式多臂赌博机模型 (Adversarial Multi-armed Bandit Model with Online Kernel Selection).
计算机科学, 2019

Online Kernel Selection via Grouped Adversarial Bandit Model.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space.
Proceedings of the Knowledge Science, Engineering and Management, 2018

An Online Kernel Selection Wrapper via Multi-Armed Bandit Model.
Proceedings of the 24th International Conference on Pattern Recognition, 2018


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