Kuangpu Guo

According to our database, Kuangpu Guo authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning.

Yongcan Yu, Lingxiao He, Jian Liang, Kuangpu Guo, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He

CoRR, April, 2026

2025

Reassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning.

Yongcan Yu, Lingxiao He, Shuo Lu, Lijun Sheng, Yinuo Xu, Yanbo Wang, Kuangpu Guo, Jianjie Cheng, Meng Wang, Qianlong Xie, Xingxing Wang, Dapeng Hu, Jian Liang

CoRR, December, 2025

Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging.

Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He

CoRR, December, 2025

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion.

Yuguang Zhang, Kuangpu Guo, Zhihe Lu, Yunbo Wang, Jian Liang

CoRR, June, 2025

An Enhanced Federated Prototype Learning Method Under Domain Shift.

Liang Kuang, Kuangpu Guo, Jian Liang, Jianguo Zhang

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Cooperative Pseudo Labeling for Unsupervised Federated Classification.

Kuangpu Guo, Lijun Sheng, Yongcan Yu, Jian Liang, Zilei Wang, Ran He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Exploring Vacant Classes in Label-Skewed Federated Learning.

Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning.

Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

CoRR, 2024