Guangyong Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
22
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Unifying Multi-View Knowledge for Graph Learning via Model Collaboration. | Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang |
| 2025 | AAAI | 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 |
| 2025 | ECAI | DiTAC: Discrete Teamwork Abstraction for Ad Hoc Collaboration. | Jing Wang, Pengjie Gu, Mengchen Zhao, Guangyong Chen, Furui Liu, Pheng-Ann Heng |
| 2025 | ICCV | ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining. | Kexin Chen, Yuyang Du, Junyou Li, Hanqun Cao, Menghao Guo, Xilin Dang, Lanqing Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng |
| 2025 | ICCV | 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 |
| 2025 | IJCAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | PointPatchMix: Point Cloud Mixing with Patch Scoring. | Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng |
| 2024 | AAAI | 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 |
| 2024 | BMVC | SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. | Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng |
| 2024 | BMVC | Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. | Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen |
| 2024 | ECCV | 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 |
| 2024 | ICML | Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. | Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng |
| 2024 | ICRA | LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. | Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng |
| 2024 | WACV | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICCV | Traj-MAE: Masked Autoencoders for Trajectory Prediction. | Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng |
| 2023 | ICML | Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. | Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng |
| 2023 | MICCAI | Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. | Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng |
| 2023 | MICCAI | Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. | Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng |
| 2023 | PAKDD | RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. | Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng |
| 2022 | DAC | LHNN: lattice hypergraph neural network for VLSI congestion prediction. | Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng |
| 2022 | ECCV | Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. | Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng |
| 2022 | EMNLP | G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. | Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu |
| 2022 | ICCAD | Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. | Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng |
| 2022 | IROS | Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. | Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng |
| 2022 | MICCAI | Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. | Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng |
| 2022 | NAACL | Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. | Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang |
| 2022 | SIGMOD | Approximate Range Thresholding. | Zhuo Zhang, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, Fengyuan Zhu |
| 2021 | AAAI | Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. | Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng |
| 2021 | AAAI | Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. | Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng |
| 2021 | AAAI | 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 |
| 2021 | ICLR | Noise against noise: stochastic label noise helps combat inherent label noise. | Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng |
| 2020 | ECIR | PMD: An Optimal Transportation-Based User Distance for Recommender Systems. | Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen |
| 2020 | ICML | 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 |
| 2020 | PAKDD | Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. | Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng |
| 2019 | ICML | Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. | Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang |
| 2018 | RecSys | Psrec: social recommendation with pseudo ratings. | Yitong Meng, Guangyong Chen, Jiajin Li, Shengyu Zhang |
| 2017 | ICCV | Cascaded Feature Network for Semantic Segmentation of RGB-D Images. | Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang |
| 2017 | ICML | Learning to Aggregate Ordinal Labels by Maximizing Separating Width. | Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng |
| 2016 | CVPR | From Noise Modeling to Blind Image Denoising. | Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng |
| 2016 | ICDM | A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. | Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng |
| 2015 | ICCV | An Efficient Statistical Method for Image Noise Level Estimation. | Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng |