Xuefeng Liu

Associate Professor, Behang University

Joined

February 2023

Names

Xuefeng Liu (Preferred)

Emails

****@buaa.edu.cn (Confirmed)

Personal Links

Career & Education History

Associate Professor

Behang University (buaa.edu.cn)

2018 – Present

Associate Professor

Huazhong University of Science and Technology (hust.edu.cn)

2014 – 2018

Researcher

Hong Kong Polytechnic University (polyu.edu.hk)

2008 – 2014

Advisors, Relations & Conflicts

Postdoc Advisor

Jiannong Cao

2008 – 2014

PhD Advisor

Nick.Lieven

2003 – 2008

Expertise

Federated Learning

2008 – 2023

Distributed computing

2003 – 2008

Publications

Select and Schedule: An Efficient Hierarchical Optimizer for Blocking Job Shop Scheduling Problem with Massive Jobs
Shiyu Li, Xuefeng Liu, Rui Zhang, Jianwei Niu, Shaojie Tang, Jing Yuan, Qing Gao
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective
Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu
- Submitted to ICLR 2026
- Readers: Everyone
VFedCD: Causal Discovery under Vertical Federated Scenario
Haotian Yang, Xuefeng Liu, Jianwei Niu, Jiayuan Zhang, Xiaozheng Xie, Haochen Zhao, Li Kuang, Shaojie Tang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
We Generate What You Need: Efficient Data Supplement via Model Prediction Discrepancy for Heterogeneous Federated Learning
Yuqi Wang, Xinghao Wu, Jianwei Niu, Xuefeng Liu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Mingjia Shi, Shaojie Tang, Jing Yuan
- NeurIPS 2025 poster
- Readers: Everyone
Causality Inspired Federated Learning for OOD Generalization
Jiayuan Zhang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Haotian Yang, Xinghao Wu
- ICML 2025 poster
- Readers: Everyone
Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation
Haochen Zhao, Jianwei Niu, Xuefeng Liu, Xiaozheng Xie, Hui Meng, Yong Wang
- Submitted to ICLR 2025
- Readers: Everyone
From Mismatch to Harmony: Resolving Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Mingjia Shi, Guogang Zhu, Shaojie Tang
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Why Go Full? Elevating Federated Learning Through Partial Network Updates
Haolin Wang, Xuefeng Liu, Jianwei Niu, Wenkai Guo, Shaojie Tang
- NeurIPS 2024 poster
- Readers: Everyone
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su
- MM2024 Poster
- Readers: Everyone

View all 136 publications

Co-Authors

View all 165 co-authors