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Fangcheng Fu
- Author ID
- 18906
- ORCID
-
-
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- Peking University
- Pagerank
- 0.10063471
- Overall Rank
- 672 | 96.78%
- Paper Count
- 13
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing 13 of 13 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 1,929 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning |
2021 |
SIGMOD |
9.5547439e-05 |
| 3,185 |
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data |
2022 |
SIGMOD |
7.7267866e-05 |
| 4,019 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches |
2018 |
SIGMOD |
7.0233795e-05 |
| 5,508 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
6.2581278e-05 |
| 6,185 |
PQCache: Product Quantization-based KVCache for Long Context LLM Inference |
2025 |
SIGMOD |
6.0213899e-05 |
| 7,908 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent |
2023 |
VLDB |
5.588174e-05 |
| 9,530 |
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions |
2018 |
SIGMOD |
5.3196076e-05 |
| 9,777 |
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training |
2025 |
SIGMOD |
5.2743647e-05 |
| 9,965 |
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates |
2022 |
VLDB |
5.2113068e-05 |
| 10,089 |
Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,502 |
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization |
2025 |
SIGMOD |
5.1725247e-05 |
| 10,634 |
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data |
2025 |
VLDB |
5.1725247e-05 |
| 10,694 |
PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning |
2025 |
VLDB |
5.1725247e-05 |
Frequent Co-authors
Co-authored at least 5 papers.