Fu, Fangcheng

12 publications

ICML 2025 Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki
AAAI 2025 HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang
IJCAI 2025 Model Rake: A Defense Against Stealing Attacks in Split Learning Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang
ICLR 2025 NetMoE: Accelerating MoE Training Through Dynamic Sample Placement Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin Cui
ICCV 2025 Training-Free and Adaptive Sparse Attention for Efficient Long Video Generation Yifei Xia, Suhan Ling, Fangcheng Fu, Yujie Wang, Huixia Li, Xuefeng Xiao, Bin Cui
AAAI 2024 Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui
NeurIPS 2024 Efficient Multi-Task LLM Quantization and Serving for Multiple LoRA Adapters Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui
NeurIPS 2024 LSH-MoE: Communication-Efficient MoE Training via Locality-Sensitive Hashing Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui
IJCAI 2024 X-Former Elucidator: Reviving Efficient Attention for Long Context Language Modeling Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui
IJCAI 2023 OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui
NeurIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang
ICML 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui