Yibo Yang

24

Papers

7

Total Citations

Papers (24)

Progressive Compression with Universally Quantized Diffusion Models

Transformers for Mixed-type Event Sequences

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

Convolutional Neural Networks With Alternately Updated Clique

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

Understanding Imbalanced Semantic Segmentation Through Neural Collapse

Expectation-Maximization Attention Networks for Semantic Segmentation

Computationally-Efficient Neural Image Compression with Shallow Decoders

Multi-Task Learning with Knowledge Distillation for Dense Prediction

Eliminating Gradient Conflict in Reference-Based Line-Art Colorization

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution

Improving Inference for Neural Image Compression

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Towards Theoretically Inspired Neural Initialization Optimization

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

Estimating the Rate-Distortion Function by Wasserstein Gradient Descent