Guangyong Chen

16

Papers

0

Total Citations

Papers (16)

Scene Graph Guided Generation: Enable Accurate Relations Generation in Text-to-Image Models via Textural Rectification

MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

PointPatchMix: Point Cloud Mixing with Patch Scoring

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay

From Noise Modeling to Blind Image Denoising

RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction

An Efficient Statistical Method for Image Noise Level Estimation

Cascaded Feature Network for Semantic Segmentation of RGB-D Images

Traj-MAE: Masked Autoencoders for Trajectory Prediction

Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing

Learning to Aggregate Ordinal Labels by Maximizing Separating Width

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels