Fangcheng Fu

22 papers at tracked venues · 18 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0003-1658-0380 ↗

Venues

SIGMOD ×4 ICDE ×3 AAAI ×2 IJCAI ×2 NeurIPS ×2 VLDB ×2 ACL ×1 EMNLP ×1 ICCV ×1 ICLR ×1 ICML ×1 MLSys ×1 SOSP ×1

Frequent coauthors

Bin Cui

×18

Xupeng Miao

×7

Jiawei Jiang

×6

Xiaonan Nie

×6

Wentao Zhang

×5

Xiao Yan

×5

Haoyang Li

×5

Quanqing Xu

×4

Sheng Lin

×4

Hao Ge

×4

Xuanyu Wang

×4

Hailin Zhang

×4

Papers

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
ICML 2025 ·
Youhe Jiang
, Fangcheng Fu,
Xiaozhe Yao
,
Guoliang He
,
Xupeng Miao
,
Ana Klimovic
,
Bin Cui
,
Binhang Yuan
,
Eiko Yoneki
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
ACL 2025 ·
Peichao Lai
,
Zhengfeng Zhang
,
Wentao Zhang
, Fangcheng Fu,
Bin Cui
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
AAAI 2025 ·
Qinbo Zhang
,
Xiao Yan
,
Yukai Ding
, Fangcheng Fu,
Quanqing Xu
,
Ziyi Li
,
Chuang Hu
,
Jiawei Jiang
Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning
ICDE 2025 ·
Xiaokai Zhou
,
Xiao Yan
, Fangcheng Fu,
Xinyan Li
,
Hao Huang
,
Quanqing Xu
,
Chuanhui Yang
,
Bo Du
,
Tieyun Qian
,
Jiawei Jiang
Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment
SIGMOD 2025 ·
Haoyang Li
, Fangcheng Fu,
Sheng Lin
,
Hao Ge
,
Xuanyu Wang
,
Jiawen Niu
,
Jinbao Xue
,
Yangyu Tao
,
Di Wang
,
Jie Jiang
,
Bin Cui
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
EMNLP 2025 ·
Peichao Lai
,
Jiaxin Gan
,
Feiyang Ye
,
Wentao Zhang
, Fangcheng Fu,
Yilei Wang
,
Bin Cui
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data
VLDB 2025 ·
Sheng Lin
, Fangcheng Fu,
Haoyang Li
,
Hao Ge
,
Xuanyu Wang
,
Jiawen Niu
,
Yaofeng Tu
,
Bin Cui
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
SIGMOD 2025 ·
Pinxue Zhao
,
Hailin Zhang
, Fangcheng Fu,
Xiaonan Nie
,
Qibin Liu
,
Fang Yang
,
Yuanbo Peng
,
Dian Jiao
,
Shuaipeng Li
,
Jinbao Xue
,
Yangyu Tao
,
Bin Cui
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
SIGMOD 2025 ·
Haoyang Li
, Fangcheng Fu,
Hao Ge
,
Sheng Lin
,
Xuanyu Wang
,
Jiawen Niu
,
Yujie Wang
,
Hailin Zhang
,
Xiaonan Nie
,
Bin Cui
Model Rake: A Defense Against Stealing Attacks in Split Learning
IJCAI 2025 ·
Qinbo Zhang
,
Xiao Yan
,
Yanfeng Zhao
, Fangcheng Fu,
Quanqing Xu
,
Yukai Ding
,
Xiaokai Zhou
,
Chuang Hu
,
Jiawei Jiang
NetMoE: Accelerating MoE Training through Dynamic Sample Placement
ICLR 2025 ·
Xinyi Liu
,
Yujie Wang
, Fangcheng Fu,
Xupeng Miao
,
Shenhan Zhu
,
Xiaonan Nie
,
Bin Cui
PQCache: Product Quantization-based KVCache for Long Context LLM Inference
SIGMOD 2025 ·
Hailin Zhang
,
Xiaodong Ji
,
Yilin Chen
, Fangcheng Fu,
Xupeng Miao
,
Xiaonan Nie
,
Weipeng Chen
,
Bin Cui
PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning
VLDB 2025 ·
Xiaokai Zhou
,
Xiao Yan
, Fangcheng Fu,
Ziwen Fu
,
Tieyun Qian
,
Yuanyuan Zhu
,
Qinbo Zhang
,
Bin Cui
,
Jiawei Jiang
ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
MLSys 2025 ·
Youhe Jiang
, Fangcheng Fu,
Xiaozhe Yao
,
Taiyi Wang
,
Bin Cui
,
Ana Klimovic
,
Eiko Yoneki
Towards Scalable and Efficient Graph Structure Learning
ICDE 2025 ·
Siqi Shen
,
Wentao Zhang
,
Chengshuo Du
,
Chong Chen
, Fangcheng Fu,
Yingxia Shao
,
Bin Cui
Training-Free and Adaptive Sparse Attention for Efficient Long Video Generation
ICCV 2025 ·
Yifei Xia
,
Suhan Ling
, Fangcheng Fu,
Yujie Wang
,
Huixia Li
,
Xuefeng Xiao
,
Bin Cui
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
AAAI 2024 ·
Zihao Yu
,
Haoyang Li
, Fangcheng Fu,
Xupeng Miao
,
Bin Cui
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
NeurIPS 2024 ·
Yifei Xia
, Fangcheng Fu,
Wentao Zhang
,
Jiawei Jiang
,
Bin Cui
Enabling Parallelism Hot Switching for Efficient Training of Large Language Models
SOSP 2024 ·
Hao Ge
, Fangcheng Fu,
Haoyang Li
,
Xuanyu Wang
,
Sheng Lin
,
Yujie Wang
,
Xiaonan Nie
,
Hailin Zhang
,
Xupeng Miao
,
Bin Cui
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
ICDE 2024 ·
Yuxiang Wang
,
Xiao Yan
,
Chuang Hu
,
Quanqing Xu
,
Chuanhui Yang
, Fangcheng Fu,
Wentao Zhang
,
Hao Wang
,
Bo Du
,
Jiawei Jiang
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
NeurIPS 2024 ·
Xiaonan Nie
,
Qibin Liu
, Fangcheng Fu,
Shenhan Zhu
,
Xupeng Miao
,
Xiaoyang Li
,
Yang Zhang
,
Shouda Liu
,
Bin Cui
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling
IJCAI 2024 ·
Xupeng Miao
,
Shenhan Zhu
, Fangcheng Fu,
Ziyu Guo
,
Zhi Yang
,
Yaofeng Tu
,
Zhihao Jia
,
Bin Cui