Guangyong Chen

papers

229

total citations

papers (11)

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

NEURIPS 2021arXiv

citations

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

CVPR 2023arXiv

citations

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

AAAI 2024

citations

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

AAAI 2025arXiv

citations

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay

ICML 2024

citations

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

AAAI 2024

citations

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

NEURIPS 2022

citations

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

ICCV 2025

citations

Guangyong Chen

papers (11)

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

Traj-MAE: Masked Autoencoders for Trajectory Prediction

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

PointPatchMix: Point Cloud Mixing with Patch Scoring

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

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

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

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay

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

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

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

papers (11)

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

Traj-MAE: Masked Autoencoders for Trajectory Prediction

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

PointPatchMix: Point Cloud Mixing with Patch Scoring

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

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

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

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay

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

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

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