Kuaishou
Authors at This Institution
Listed authors are those whose most frequent affiliation is this institution.
Showing 13 of 13 authors.
| Rank | Author | Pagerank | Papers |
|---|---|---|---|
| 2,058 | Ji Liu | 0.039371801 | 5 |
| 11,656 | Xiangru Lian | 0.0076922621 | 1 |
| 11,657 | Rui Wang | 0.0076922621 | 1 |
| 11,658 | Jianbin Chang | 0.0076922621 | 1 |
| 11,659 | Chengjun Liu | 0.0076922621 | 1 |
| 11,660 | Hongmei Shi | 0.0076922621 | 1 |
| 11,661 | Shengzhuo Zhang | 0.0076922621 | 1 |
| 11,662 | Xianghong Li | 0.0076922621 | 1 |
| 11,663 | Tengxu Sun | 0.0076922621 | 1 |
| 11,664 | Sen Yang | 0.0076922621 | 1 |
| 12,959 | Jiaqiang Liu | 0.0074480008 | 1 |
| 13,845 | Jixiang Li | 0.0073221371 | 1 |
| 19,644 | Fengjin Wang | 0.0070547794 | 1 |
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Papers with at Least One Affiliated Author
Showing 4 of 4 papers, sorted by pagerank.
| Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,999 | BAGUA: Scaling up Distributed Learning with System Relaxations | 2022 | VLDB | 5.9170896e-05 |
| 7,335 | PetPS: Supporting Huge Embedding Models with Persistent Memory | 2023 | VLDB | 5.5472715e-05 |
| 8,283 | Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale | 2022 | VLDB | 5.3613692e-05 |
| 10,847 | EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries | 2026 | VLDB | 4.9769913e-05 |
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