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2020 – today
- 2026
[c30]Xinyi Liu, Yujie Wang, Fangcheng Fu, Xuefeng Xiao, Huixia Li, Jiashi Li, Bin Cui:
LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training. ASPLOS (2) 2026: 1055-1072- [c29]Xuanyu Wang
, Fangcheng Fu, Haoyang Li, Hao Ge, Sheng Lin, Jiawen Niu, Bin Cui:
Elastor: Elastic and Efficient Model Partitioning and Checkpointing for Fault-Tolerant Distributed Training. PPoPP 2026: 398-412 - [i33]Haoyang Li, Sheng Lin, Fangcheng Fu, Yuming Zhou, Xiaodong Ji, Yanfeng Zhao, Lefeng Wang, Jie Jiang, Bin Cui:
Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout Coordination. CoRR abs/2601.12784 (2026) - 2025
- [j14]Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui:
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training. Proc. ACM Manag. Data 3(1): 53:1-53:28 (2025) - [j13]Haoyang Li, Fangcheng Fu, Hao Ge, Sheng Lin, Xuanyu Wang, Jiawen Niu, Yujie Wang, Hailin Zhang, Xiaonan Nie, Bin Cui:
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization. Proc. ACM Manag. Data 3(3): 185:1-185:28 (2025) - [j12]Hailin Zhang, Xiaodong Ji, Yilin Chen, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Weipeng Chen, Bin Cui:
PQCache: Product Quantization-based KVCache for Long Context LLM Inference. Proc. ACM Manag. Data 3(3): 201:1-201:30 (2025) - [j11]Haoyang Li, Fangcheng Fu, Sheng Lin, Hao Ge, Xuanyu Wang, Jiawen Niu, Jinbao Xue, Yangyu Tao, Di Wang, Jie Jiang, Bin Cui:
Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment. Proc. ACM Manag. Data 3(6): 1-30 (2025) - [j10]Sheng Lin, Fangcheng Fu, Haoyang Li, Hao Ge, Xuanyu Wang, Jiawen Niu, Yaofeng Tu, Bin Cui:
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data. Proc. VLDB Endow. 18(8): 2616-2625 (2025) - [j9]Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Ziwen Fu, Tieyun Qian, Yuanyuan Zhu, Qinbo Zhang, Bin Cui, Jiawei Jiang:
PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning. Proc. VLDB Endow. 18(10): 3559-3572 (2025) - [j8]Jiawei Jiang, Hao Huang, Zhigao Zheng, Yi Wei, Fangcheng Fu, Xiaosen Li, Bin Cui:
Detecting and Analyzing Motifs in Large-Scale Online Transaction Networks. IEEE Trans. Knowl. Data Eng. 37(2): 584-596 (2025) - [c28]Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang:
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. AAAI 2025: 22515-22523 - [c27]Peichao Lai, Zhengfeng Zhang, Wentao Zhang, Fangcheng Fu, Bin Cui:
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning. ACL (1) 2025: 4919-4940 - [c26]Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui:
FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism. ASPLOS (2) 2025: 421-436 - [c25]Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui:
Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling. ASPLOS (2) 2025: 1139-1155 - [c24]Peichao Lai, Jiaxin Gan, Feiyang Ye, Wentao Zhang, Fangcheng Fu, Yilei Wang, Bin Cui:
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations. EMNLP 2025: 5655-5674 - [c23]Siqi Shen, Wentao Zhang, Chengshuo Du, Chong Chen, Fangcheng Fu, Yingxia Shao, Bin Cui:
Towards Scalable and Efficient Graph Structure Learning. ICDE 2025: 1759-1772 - [c22]Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang:
Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. ICDE 2025: 2810-2823 - [c21]Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin Cui:
NetMoE: Accelerating MoE Training through Dynamic Sample Placement. ICLR 2025 - [c20]Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki:
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. ICML 2025 - [c19]Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang:
Model Rake: A Defense Against Stealing Attacks in Split Learning. IJCAI 2025: 7002-7010 - [c18]Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Taiyi Wang, Bin Cui, Ana Klimovic, Eiko Yoneki:
ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments. MLSys 2025 - [c17]Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu:
ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs. SIGCOMM 2025: 963-978 - [i32]Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki:
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. CoRR abs/2502.00722 (2025) - [i31]Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Taiyi Wang, Bin Cui, Ana Klimovic, Eiko Yoneki:
ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments. CoRR abs/2502.09334 (2025) - [i30]Yifei Xia, Suhan Ling, Fangcheng Fu, Yujie Wang, Huixia Li, Xuefeng Xiao, Bin Cui:
Training-free and Adaptive Sparse Attention for Efficient Long Video Generation. CoRR abs/2502.21079 (2025) - [i29]Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu:
ByteScale: Efficient Scaling of LLM Training with a 2048K Context Length on More Than 12,000 GPUs. CoRR abs/2502.21231 (2025) - [i28]Haoyang Li, Fangcheng Fu, Hao Ge, Sheng Lin, Xuanyu Wang, Jiawen Niu, Xupeng Miao, Bin Cui:
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations. CoRR abs/2504.20490 (2025) - [i27]Xinyi Liu, Yujie Wang, Shenhan Zhu, Fangcheng Fu, Qingshuo Liu, Guangming Lin, Bin Cui:
Galvatron: An Automatic Distributed System for Efficient Foundation Model Training. CoRR abs/2504.21411 (2025) - [i26]Yuhang Wang, Youhe Jiang, Bin Cui, Fangcheng Fu:
Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately. CoRR abs/2505.13326 (2025) - [i25]Xiaodong Ji, Hailin Zhang, Fangcheng Fu, Bin Cui:
SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling. CoRR abs/2505.24179 (2025) - [i24]Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Nicholas D. Lane, Binhang Yuan:
Cascadia: A Cascade Serving System for Large Language Models. CoRR abs/2506.04203 (2025) - [i23]Qiming Zeng, Xiao Yan, Hao Luo, Yuhao Lin, Yuxiang Wang, Fangcheng Fu, Bo Du, Quanqing Xu, Jiawei Jiang:
How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG. CoRR abs/2506.06331 (2025) - [i22]Li Zhang, Youhe Jiang, Guoliang He, Xin Chen, Han Lv, Qian Yao, Fangcheng Fu, Kai Chen:
Efficient Mixed-Precision Large Language Model Inference with TurboMind. CoRR abs/2508.15601 (2025) - [i21]Sheng Lin, Fangcheng Fu, Haoyang Li, Hao Ge, Xuanyu Wang, Jiawen Niu, Yaofeng Tu, Bin Cui:
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data. CoRR abs/2509.01193 (2025) - [i20]Shiju Wang, Yujie Wang, Ao Sun, Fangcheng Fu, Zijian Zhu, Bin Cui, Xu Han, Kaisheng Ma:
Data-Centric Elastic Pipeline Parallelism for Efficient Long-Context LLM Training. CoRR abs/2509.21275 (2025) - [i19]Yifei Xia, Fangcheng Fu, Hao Yuan, Hanke Zhang, Xupeng Miao, Yijun Liu, Suhan Ling, Jie Jiang, Bin Cui:
TridentServe: A Stage-level Serving System for Diffusion Pipelines. CoRR abs/2510.02838 (2025) - 2024
- [j7]Fangcheng Fu, Xuanyu Wang, Jiawei Jiang, Huanran Xue, Bin Cui:
ProjPert: Projection-Based Perturbation for Label Protection in Split Learning Based Vertical Federated Learning. IEEE Trans. Knowl. Data Eng. 36(7): 3417-3428 (2024) - [j6]Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui:
Improving Automatic Parallel Training via Balanced Memory Workload Optimization. IEEE Trans. Knowl. Data Eng. 36(8): 3906-3920 (2024) - [c16]Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. AAAI 2024: 16605-16613 - [c15]Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. ICDE 2024: 3364-3378 - [c14]Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui:
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. IJCAI 2024: 8179-8187 - [c13]Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui:
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing. NeurIPS 2024 - [c12]Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui:
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters. NeurIPS 2024 - [c11]Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui:
Enabling Parallelism Hot Switching for Efficient Training of Large Language Models. SOSP 2024: 178-194 - [i18]Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui:
Retrieval-Augmented Generation for AI-Generated Content: A Survey. CoRR abs/2402.19473 (2024) - [i17]Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui:
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. CoRR abs/2407.12117 (2024) - [i16]Hailin Zhang, Xiaodong Ji, Yilin Chen, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Weipeng Chen, Bin Cui:
PQCache: Product Quantization-based KVCache for Long Context LLM Inference. CoRR abs/2407.12820 (2024) - [i15]Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui:
Efficient Multi-Task Large Model Training via Data Heterogeneity-aware Model Management. CoRR abs/2409.03365 (2024) - [i14]Qiang Huang, Xiao Yan, Xin Wang, Susie Xi Rao, Zhichao Han, Fangcheng Fu, Wentao Zhang, Jiawei Jiang:
Retrofitting Temporal Graph Neural Networks with Transformer. CoRR abs/2409.05477 (2024) - [i13]Bozhou Li, Hao Liang, Yang Li, Fangcheng Fu, Hongzhi Yin, Conghui He, Wentao Zhang:
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models. CoRR abs/2410.05802 (2024) - [i12]Haoyang Li, Fangcheng Fu, Hao Ge, Sheng Lin, Xuanyu Wang, Jiawen Niu, Yujie Wang, Hailin Zhang, Xiaonan Nie, Bin Cui:
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization. CoRR abs/2410.13333 (2024) - [i11]Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui:
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing. CoRR abs/2411.08446 (2024) - [i10]Yujie Wang, Shiju Wang, Shenhan Zhu, Fangcheng Fu, Xinyi Liu, Xuefeng Xiao, Huixia Li, Jiashi Li, Faming Wu, Bin Cui:
Data-Centric and Heterogeneity-Adaptive Sequence Parallelism for Efficient LLM Training. CoRR abs/2412.01523 (2024) - [i9]Haoyang Li, Fangcheng Fu, Sheng Lin, Hao Ge, Xuanyu Wang, Jiawen Niu, Jie Jiang, Bin Cui:
Demystifying Workload Imbalances in Large Transformer Model Training over Variable-length Sequences. CoRR abs/2412.07894 (2024) - 2023
- [j5]Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui:
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. Proc. VLDB Endow. 16(12): 3781-3794 (2023) - [j4]Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui:
P2CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32(4): 717-736 (2023) - [c10]Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, Bin Cui:
KVSAgg: Secure Aggregation of Distributed Key-Value Sets. ICDE 2023: 1775-1789 - [c9]Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui:
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. IJCAI 2023: 2142-2150 - [i8]Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui:
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. CoRR abs/2303.02868 (2023) - [i7]Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference. CoRR abs/2305.17423 (2023) - [i6]Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui:
Improving Automatic Parallel Training via Balanced Memory Workload Optimization. CoRR abs/2307.02031 (2023) - [i5]Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. CoRR abs/2310.15523 (2023) - 2022
- [j3]Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update. Proc. VLDB Endow. 15(10): 2111-2120 (2022) - [c8]Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui:
Analyzing Online Transaction Networks with Network Motifs. KDD 2022: 3098-3106 - [c7]Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang:
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS 2022 - [c6]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-core decomposition on super large graphs with limited resources. SAC 2022: 413-422 - [c5]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. SIGMOD Conference 2022: 1316-1330 - [i4]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. CoRR abs/2206.07975 (2022) - [i3]Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates. CoRR abs/2207.14628 (2022) - 2021
- [c4]Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui:
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. SIGMOD Conference 2021: 563-576 - [i2]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-Core Decomposition on Super Large Graphs with Limited Resources. CoRR abs/2112.14840 (2021) - 2020
- [j2]Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui:
SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. VLDB J. 29(5): 945-972 (2020) - [c3]Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui:
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript. ICML 2020: 3304-3314
2010 – 2019
- 2019
- [j1]Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. Proc. VLDB Endow. 12(11): 1357-1370 (2019) - [i1]Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. CoRR abs/1907.01882 (2019) - 2018
- [c2]Jiawei Jiang, Fangcheng Fu, Tong Yang, Bin Cui:
SketchML: Accelerating Distributed Machine Learning with Data Sketches. SIGMOD Conference 2018: 1269-1284 - [c1]Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu:
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. SIGMOD Conference 2018: 1363-1376
Coauthor Index
[c30] [c29] [i33] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [c27] [c26] [c25] [c24] [c23] [c21] [c20] [c18] [c17] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i21] [i20] [i19] [j7] [j6] [c16] [c14] [c13] [c12] [c11] [i18] [i17] [i16] [i15] [i12] [i11] [i10] [i9] [j5] [j4] [c10] [c9] [i8] [i7] [i6] [j3] [c8] [c6] [c5] [i4] [i3] [c4] [i2] [j2] [c3] [j1] [i1] [c2] [c1]
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