1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
MixBCT: Towards Self-Adapting Backward-Compatible Training
Yu Liang, Yufeng Zhang, Shiliang Zhang +4
Backward-compatible training circumvents the need for expensive updates to the old gallery database when deploying an advanced new model in the retrieval system. Previous methods a…
stat.ML2020
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
Yu Liang, Arin Chaudhuri, Haoyu Wang
Dimension reduction and visualization of high-dimensional data have become very important research topics because of the rapid growth of large databases in data science. In this pa…
cs.LG2018★ 1 cited
Block-wise Partitioning for Extreme Multi-label Classification
Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee
Extreme multi-label classification aims to learn a classifier that annotates an instance with a relevant subset of labels from an extremely large label set. Many existing solutions…