Back to authors
Xupeng Miao
- Author ID
- 19371
- ORCID
-
-
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- Peking University
- Pagerank
- 0.093531591
- Overall Rank
- 692 | 96.69%
- 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 |
| 2,678 |
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework |
2022 |
VLDB |
8.3224016e-05 |
| 4,972 |
PS2: Parameter Server on Spark |
2019 |
SIGMOD |
5.7894524e-05 |
| 5,169 |
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training |
2022 |
SIGMOD |
5.642415e-05 |
| 5,332 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
5.5640779e-05 |
| 6,350 |
PQCache: Product Quantization-based KVCache for Long Context LLM Inference |
2025 |
SIGMOD |
5.0957601e-05 |
| 6,361 |
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism |
2023 |
VLDB |
5.0903244e-05 |
| 6,493 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5.0344095e-05 |
| 6,553 |
Reliable Data Distillation on Graph Convolutional Network |
2020 |
SIGMOD |
5.0100594e-05 |
| 7,535 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent |
2023 |
VLDB |
4.7131061e-05 |
| 8,117 |
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training |
2023 |
VLDB |
4.5788485e-05 |
| 8,807 |
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement |
2023 |
SIGMOD |
4.4413307e-05 |
| 9,414 |
Experimental Analysis of Large-scale Learnable Vector Storage Compression |
2024 |
VLDB |
4.3399748e-05 |
| 9,965 |
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates |
2022 |
VLDB |
4.2229209e-05 |
Frequent Co-authors
Co-authored at least 5 papers.