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Yu Gu
- Author ID
- 17089
- ORCID
-
0000-0001-7422-6254
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- Northeastern University
- Pagerank
- 0.088714832
- Overall Rank
- 722 | 96.60%
- 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 |
| 5,136 |
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments |
2024 |
VLDB |
5.6723526e-05 |
| 5,345 |
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams |
2024 |
VLDB |
5.5567697e-05 |
| 5,710 |
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training |
2024 |
VLDB |
5.3590055e-05 |
| 5,737 |
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective |
2024 |
VLDB |
5.3480667e-05 |
| 7,566 |
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling |
2023 |
SIGMOD |
4.7089968e-05 |
| 8,925 |
Processing Moving kNN Queries Using Influential Neighbor Sets |
2015 |
VLDB |
4.427232e-05 |
| 9,282 |
Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing |
2016 |
SIGMOD |
4.3634964e-05 |
| 9,395 |
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism |
2025 |
VLDB |
4.3441378e-05 |
| 10,027 |
NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,298 |
NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments |
2026 |
VLDB |
4.1945683e-05 |
| 10,506 |
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,570 |
NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism |
2025 |
VLDB |
4.1945683e-05 |
| 10,750 |
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification |
2025 |
VLDB |
4.1945683e-05 |
Frequent Co-authors
Co-authored at least 5 papers.