Fangcheng Fu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
16
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training. | Xinyi Liu, Yujie Wang, Fangcheng Fu, Xuefeng Xiao, Huixia Li, Jiashi Li, Bin Cui |
| 2026 | PPoPP | Elastor: Elastic and Efficient Model Partitioning and Checkpointing for Fault-Tolerant Distributed Training. | Xuanyu Wang, Fangcheng Fu, Haoyang Li, Hao Ge, Sheng Lin, Jiawen Niu, Bin Cui |
| 2025 | AAAI | 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 |
| 2025 | ACL | Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning. | Peichao Lai, Zhengfeng Zhang, Wentao Zhang, Fangcheng Fu, Bin Cui |
| 2025 | ASPLOS | FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism. | Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui |
| 2025 | ASPLOS | Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling. | Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui |
| 2025 | DASFAA | RAP: Random Projection is What You Need for Vertical Federated Learning. | Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Chuang Hu, Quanqing Xu, Xu Chen, Jiawei Jiang |
| 2025 | EMNLP | Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations. | Peichao Lai, Jiaxin Gan, Feiyang Ye, Wentao Zhang, Fangcheng Fu, Yilei Wang, Bin Cui |
| 2025 | ICCV | 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 |
| 2025 | ICDE | Towards Scalable and Efficient Graph Structure Learning. | Siqi Shen, Wentao Zhang, Chengshuo Du, Chong Chen, Fangcheng Fu, Yingxia Shao, Bin Cui |
| 2025 | ICDE | Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. | Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang |
| 2025 | ICLR | NetMoE: Accelerating MoE Training through Dynamic Sample Placement. | Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin Cui |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | SIGCOMM | ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs. | Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu |
| 2024 | AAAI | Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. | Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui |
| 2024 | ICDE | Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. | Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang |
| 2024 | IJCAI | 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 |
| 2024 | SOSP | Enabling Parallelism Hot Switching for Efficient Training of Large Language Models. | Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui |
| 2023 | ICDE | KVSAgg: Secure Aggregation of Distributed Key-Value Sets. | Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, Bin Cui |
| 2023 | IJCAI | OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. | Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui |
| 2022 | KDD | Analyzing Online Transaction Networks with Network Motifs. | Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui |
| 2022 | SAC | K-core decomposition on super large graphs with limited resources. | Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui |
| 2022 | SIGMOD | BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. | Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui |
| 2021 | SIGMOD | VF | Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui |
| 2020 | ICML | 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 |
| 2018 | SIGMOD | DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. | Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu |
| 2018 | SIGMOD | SketchML: Accelerating Distributed Machine Learning with Data Sketches. | Jiawei Jiang, Fangcheng Fu, Tong Yang, Bin Cui |