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2020 – today
- 2024
[j3]Zheshun Wu
, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu:
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks. IEEE Trans. Veh. Technol. 73(8): 12201-12206 (2024)- [c9]Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI 2024: 13782-13789 - [i9]Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King:
On the Necessity of Collaboration in Online Model Selection with Decentralized Data. CoRR abs/2404.09494 (2024) - [i8]Junfan Li, Shizhong Liao:
Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis. CoRR abs/2407.00916 (2024) - [i7]Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu:
Online Optimization for Learning to Communicate over Time-Correlated Channels. CoRR abs/2409.00575 (2024) - [i6]Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang:
DOTA: Distributional Test-Time Adaptation of Vision-Language Models. CoRR abs/2409.19375 (2024) - 2023
- [c8]Junfan Li, Shizhong Liao:
Improved Kernel Alignment Regret Bound for Online Kernel Learning. AAAI 2023: 8597-8604 - [c7]Junfan Li, Shizhong Liao:
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. ICML 2023: 19743-19766 - [i5]Junfan Li, Shizhong Liao:
Improved Regret Bounds for Online Kernel Selection under Bandit Feedback. CoRR abs/2303.05018 (2023) - [i4]Junfan Li, Shizhong Liao:
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. CoRR abs/2306.08320 (2023) - [i3]Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. CoRR abs/2312.07032 (2023) - [i2]Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu:
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks. CoRR abs/2312.13611 (2023) - 2022
- [j2]Junfan Li, Shizhong Liao:
Worst-case regret analysis of computationally budgeted online kernel selection. Mach. Learn. 111(3): 937-976 (2022) - [c6]Junfan Li, Shizhong Liao:
Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback. ECML/PKDD (4) 2022: 333-348 - [i1]Junfan Li, Shizhong Liao:
Improved Kernel Alignment Regret Bound for Online Kernel Learning. CoRR abs/2212.12989 (2022) - 2021
- [c5]Shizhong Liao, Junfan Li:
High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection. ECML/PKDD (1) 2021: 67-83 - 2020
- [c4]Yunfei Yao, Junfan Li, Shizhong Liao:
A New Learning Algorithm with General Loss for Neural Networks with Random Weights. ICTAI 2020: 1-5
2010 – 2019
- 2019
- [j1]Junfan Li, Shizhong Liao:
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 46(1): 57-63 (2019) - [c3]Junfan Li, Shizhong Liao:
Online Kernel Selection via Grouped Adversarial Bandit Model. ICTAI 2019: 682-689 - 2018
- [c2]Junfan Li, Shizhong Liao:
An Online Kernel Selection Wrapper via Multi-Armed Bandit Model. ICPR 2018: 1307-1312 - [c1]Junfan Li, Shizhong Liao:
Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space. KSEM (2) 2018: 301-312
Coauthor Index
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