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20222026
most citedCR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks

3 citations · 3 across the 6 of their papers we have counts for

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cs.CV2025

Compensating Distribution Drifts in Class-incremental Learning of Pre-trained Vision Transformers

Xuan Rao, Simian Xu, Zheng Li +4

Recent advances have shown that sequential fine-tuning (SeqFT) of pre-trained vision transformers (ViTs), followed by classifier refinement using approximate distributions of class…

cs.LG2025

DNAD: Differentiable Neural Architecture Distillation

Xuan Rao, Bo Zhao, Derong Liu

To meet the demand for designing efficient neural networks with appropriate trade-offs between model performance (e.g., classification accuracy) and computational complexity, the d…

cs.LG2025

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking

Xuan Rao, Bo Zhao, Derong Liu +1

Strong priors are imposed on the search space of Differentiable Architecture Search (DARTS), such that cells of the same type share the same topological structure and each intermed…