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Xupeng Miao
- Author ID
- u19548
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Peking University
- Pagerank
- 0.10031179
- Overall Rank
- 689 | 96.82%
- 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 |
| 2,519 |
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework |
2022 |
VLDB |
8.3521095e-05 |
| 4,498 |
PQCache: Product Quantization-based KVCache for Long Context LLM Inference |
2025 |
SIGMOD |
6.5762771e-05 |
| 4,945 |
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training |
2022 |
SIGMOD |
6.3435891e-05 |
| 4,963 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
6.3384091e-05 |
| 5,009 |
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism |
2023 |
VLDB |
6.3158866e-05 |
| 5,433 |
PS2: Parameter Server on Spark |
2019 |
SIGMOD |
6.1308667e-05 |
| 6,301 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5.8188746e-05 |
| 6,674 |
Reliable Data Distillation on Graph Convolutional Network |
2020 |
SIGMOD |
5.7125691e-05 |
| 8,197 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent |
2023 |
VLDB |
5.3794747e-05 |
| 8,251 |
SDP_PIPE: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training |
2023 |
VLDB |
5.3687311e-05 |
| 8,812 |
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement |
2023 |
SIGMOD |
5.2722828e-05 |
| 9,700 |
Experimental Analysis of Large-scale Learnable Vector Storage Compression |
2024 |
VLDB |
5.1381949e-05 |
| 10,342 |
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates |
2022 |
VLDB |
5.0167904e-05 |
Frequent Co-authors
Co-authored at least 5 papers.