Junfan Li

According to our database, Junfan Li authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks.

Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu

IEEE Trans. Veh. Technol., August, 2024

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

Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang

CoRR, 2024

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

Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu

CoRR, 2024

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

Junfan Li, Shizhong Liao

CoRR, 2024

On the Necessity of Collaboration in Online Model Selection with Decentralized Data.

Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King

CoRR, 2024

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound.

Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression.

Junfan Li, Shizhong Liao

Proceedings of the International Conference on Machine Learning, 2023

Improved Kernel Alignment Regret Bound for Online Kernel Learning.

Junfan Li, Shizhong Liao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Worst-case regret analysis of computationally budgeted online kernel selection.

Junfan Li, Shizhong Liao

Mach. Learn., 2022

Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback.

Junfan Li, Shizhong Liao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection.

Shizhong Liao, Junfan Li

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.

Yunfei Yao, Junfan Li, Shizhong Liao

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).

Junfan Li, Shizhong Liao

计算机科学, 2019

Online Kernel Selection via Grouped Adversarial Bandit Model.

Junfan Li, Shizhong Liao

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.

Junfan Li, Shizhong Liao

Proceedings of the Knowledge Science, Engineering and Management, 2018

An Online Kernel Selection Wrapper via Multi-Armed Bandit Model.

Junfan Li, Shizhong Liao

Proceedings of the 24th International Conference on Pattern Recognition, 2018