Chen, Guangyong

27 publications

AAAI 2025 MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng

IJCAI 2025 MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng

NeurIPS 2025 Protein Inverse Folding from Structure Feedback Junde Xu, Zijun Gao, Xinyi Zhou, Hujie, Xingyi Cheng, Le Song, Guangyong Chen, Pheng-Ann Heng, Jiezhong Qiu

ICCV 2025 Scene Graph Guided Generation: Enable Accurate Relations Generation in Text-to-Image Models via Textural Rectification Guibao Shen, Luozhou Wang, Jiantao Lin, Wenhang Ge, Chaozhe Zhang, Xin Tao, Di Zhang, Pengfei Wan, Guangyong Chen, Yijun Li, Ying-cong Chen

NeurIPS 2025 What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers Yi Wang, Jiaze Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng

AAAI 2024 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-Supervised Learning Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng

WACV 2024 DPPMask: Masked Image Modeling with Determinantal Point Processes Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng

AAAI 2024 DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

AAAI 2024 PointPatchMix: Point Cloud Mixing with Patch Scoring Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng

ICML 2024 Sample-Efficient Multiagent Reinforcement Learning with Reset Replay Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng

ECCV 2024 Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Yingcong Chen

CVPR 2023 RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng

ICCV 2023 Traj-MAE: Masked Autoencoders for Trajectory Prediction Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng

ICML 2023 Uncertainty Estimation by Fisher Information-Based Evidential Deep Learning Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng

ECCV 2022 Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng

NeurIPS 2022 Transformer-Based Working Memory for Multiagent Reinforcement Learning with Action Parsing Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng

AAAI 2021 Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

NeurIPS 2021 Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng

AAAI 2021 Foresee Then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao

ICLR 2021 Noise Against Noise: Stochastic Label Noise Helps Combat Inherent Label Noise Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng

AAAI 2021 Robustness of Accuracy Metric and Its Inspirations in Learning with Noisy Labels Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

ICML 2020 Q-Value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei

ICML 2019 Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Pengfei Chen, Ben Ben Liao, Guangyong Chen, Shengyu Zhang

ICCV 2017 Cascaded Feature Network for Semantic Segmentation of RGB-D Images Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang

ICML 2017 Learning to Aggregate Ordinal Labels by Maximizing Separating Width Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng Ann Heng

CVPR 2016 From Noise Modeling to Blind Image Denoising Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng

ICCV 2015 An Efficient Statistical Method for Image Noise Level Estimation Guangyong Chen, Fengyuan Zhu, Pheng Ann Heng