Yongjun Xu

papers

512

total citations

papers (11)

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

ICCV 2025arXiv

citations

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation

AAAI 2024

citations

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models

AAAI 2025arXiv

citations

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition

AAAI 2025arXiv

citations

Multi-party Collaborative Attention Control for Image Customization

CVPR 2025arXiv

citations

GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic

AAAI 2025arXiv

citations

Selective Learning for Deep Time Series Forecasting

NEURIPS 2025arXiv

citations

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation

AAAI 2025

citations

Yongjun Xu

papers (11)

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

CLIP-KD: An Empirical Study of CLIP Model Distillation

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition

Multi-party Collaborative Attention Control for Image Customization

GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic

Selective Learning for Deep Time Series Forecasting

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation

papers (11)

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

CLIP-KD: An Empirical Study of CLIP Model Distillation

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition

Multi-party Collaborative Attention Control for Image Customization

GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic

Selective Learning for Deep Time Series Forecasting

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation