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.Jiayuan Zhang, Xuefeng Liu, Jianwei Niu*, Haotian Yang, Wanyu Lin*, Xinghao Wu. The Aggregated Model is a Confounder: Enabling Deconfounded Federated Learning for OOD Generalization. IEEE International Conference on Computer Communications, INFOCOM 2026 (CCF A)
.Rui Zhang, Jianwei Niu*, Xuefeng Liu*, Shaojie Tang, Jing Yuan. Learning to Optimize Job Shop Scheduling under Structural Uncertainty. Association for the Advancement of Artificial Intelligence, AAAI 2026 (CCF A)
.Xinghao Wu, Jianwei Niu*, Xuefeng Liu, Mingjia Shi, Guogang Zhu, and Shaojie Tang. Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. Annual Conference on Neural Information Processing Systems, NeurIPS 2025 (CCF A)
.Wenkai Guo, Xuefeng Liu*, Haolin Wang, Jianwei Niu*, Shaojie Tang, Jing Yuan. Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation. Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 (CCF B)
.Hao Su, Xuxi Wang, Jianwei Niu*, Xuefeng Liu, Xinghao Wu, Nana Wang. 3DFaceSculptor: A Common Framework for Image-Guided 3D Face Deformation. IEEE Transactions on Visualization and Computer Graphics, TVCG 2025 (CCF A)
.Wei Chen, Jianwei Niu, Xuefeng Liu*, Xinghao Wu. Decoupling Dense Video Captioning via Task-specific Prompts. ACM International Conference on Multimedia, ACM MM 2025 (CCF A)
.Pan Deng, Xuefeng Liu*, Jianwei Niu and Chunming Hu. Federated Non-IID Graph Learning Based on Graph Optimization. IEEE International Conference on Software Quality, Reliability and Security, QRS 2025 (CCF C)
.Xinghao Wu, Jianwei Niu*, Xuefeng Liu, Guogang Zhu, Shaojie Tang, Wanyu Lin, and Jiannong Cao. The Diversity Bonus: Learning from Dissimilar Clients in Personalized Federated Learning. IEEE Transactions on Neural Networks and Learning Systems, TNNLS 2025 (CCF B)
.Haochen Zhao, Jianwei Niu, Xuefeng Liu*, Xiaozheng Xie, Li Kuang, Haotian Yang, Bin Dai, Hui Meng, Yong Wang*. Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation. International Conference on Computer Vision, ICCV 2025 (CCF A)
.Jiayuan Zhang, Xuefeng Liu*, Jianwei Niu*, Shaojie Tang, Haotian Yang, Xinghao Wu. Causality Inspired Federated Learning for OOD Generalization. International Conference on Machine Learning, ICML 2025 (CCF A)
.Yixuan Guan, Jianwei Niu, Tao Ren, Xuefeng Liu*. Enabling Communication-efficient and Robust Federated Learning over Packet Lossy Networks via Random Interleaved Vector Quantization. IEEE International Conference on Multimedia and Expo, ICME 2025 (CCF B)
.Guogang Zhu, Xuefeng Liu*, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen. Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space. IEEE Transactions on Neural Networks and Learning Systems, TNNLS 2024 (CCF B)

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