1 citations · 1 across the 4 of their papers we have counts for
4 papers
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang, Aly A. Khan, Yuxin Chen +1
Instance-level image classification tasks have traditionally relied on single-instance labels to train models, e.g., few-shot learning and transfer learning. However, set-level coa…
An Adam-enhanced Particle Swarm Optimizer for Latent Factor Analysis
Jia Chen, Renyu Zhang, Yuanyi Liu
Digging out the latent information from large-scale incomplete matrices is a key issue with challenges. The Latent Factor Analysis (LFA) model has been investigated in depth to an…
A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis
Jia Chen, Yixian Chun, Yuanyi Liu +2
High-Dimensional and Incomplete matrices, which usually contain a large amount of valuable latent information, can be well represented by a Latent Factor Analysis model. The perfor…
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
Renyu Zhang, Aly A. Khan, Robert L. Grossman +1
Active learning has demonstrated data efficiency in many fields. Existing active learning algorithms, especially in the context of batch-mode deep Bayesian active models, rely heav…