An Online Kernel Selection Wrapper via Multi-Armed Bandit Model. - Junfan Li; Shizhong Liao (ICPR, 2018)

Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space. - Junfan Li; Shizhong Liao (KSEM (2), 2018)

Online Kernel Selection via Grouped Adversarial Bandit Model. - Junfan Li; Shizhong Liao (ICTAI, 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)

A New Learning Algorithm with General Loss for Neural Networks with Random Weights. - Yunfei Yao; Junfan Li; Shizhong Liao (ICTAI, 2020)

High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection. - Shizhong Liao; Junfan Li (ECML/PKDD (1), 2021)

Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback. - Junfan Li; Shizhong Liao (ECML/PKDD (4), 2022)

Worst-case regret analysis of computationally budgeted online kernel selection. - Junfan Li; Shizhong Liao (Mach. Learn., 2022)

Improved Kernel Alignment Regret Bound for Online Kernel Learning. - Junfan Li; Shizhong Liao (AAAI, 2023)

Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression. - Junfan Li; Shizhong Liao (ICML, 2023)

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. - Yun Liao; Junfan Li; Shizhong Liao; Qinghua Hu; Jianwu Dang (AAAI, 2024)

On the Necessity of Collaboration for Online Model Selection with Decentralized Data. - Junfan Li; Zheshun Wu; Zenglin Xu; Irwin King (NeurIPS, 2024)

Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis. - Junfan Li; Shizhong Liao (CoRR, 2024)

Online Optimization for Learning to Communicate over Time-Correlated Channels. - Zheshun Wu; Junfan Li; Zenglin Xu; Sumei Sun; Jie Liu 001 (CoRR, 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)

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data. - Yukun Zhang; Guanzhong Chen; Zenglin Xu; Jianyong Wang 001; Dun Zeng; Junfan Li; Jinghua Wang; Yuan Qi 001; Irwin King (CoRR, 2024)

Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks. - Zheshun Wu; Zenglin Xu; Dun Zeng; Junfan Li; Jie Liu 001 (IEEE Trans. Veh. Technol., 2024)

A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions. - Junfan Li; Shizhong Liao; Zenglin Xu; Liqiang Nie (COLT, 2025)