基本信息
陈广勇      杭州医学研究所
电子邮件： chenguangyong@him.cas.cn
通信地址： 浙江省杭州市钱塘区下沙街道东方街150号
邮政编码： 310000

研究领域

大模型技术，功能分子设计

工作经历

  • 2025-01--中国科学院杭州医学研究所   研究员
  • 2022-04--2025-01   之江实验室生命科学计算研究中心副主任   浙江大学平台**研究员
  • 2020-02--2022-03   中国科学院深圳先进技术研究院   副研究员
  • 2018-01--2020-02   腾讯科技（深圳）有限公司   高级研究员
  • 2016-10--2018-01   香港中文大学   博士后研究员

论文发表

* denotes corresponding author.

Cited 5900+ times on Google Scholar, published papers as first or corresponding author, including CCF A articles and Nature sister journals.

AI for Science


  1. Deng, Danruo, Wuqin Xu*, Bian Wu, Hans Peter Comes, Yu Feng, Pan Li*, Jinfang Zheng*, Guangyong Chen*, and Pheng-Ann Heng. 2025. "PhyloTune: An efficient method to accelerate phylogenetic updates using a pretrained DNA language model." Nature Communications 16, no. 1: 6905.
  2. Wang, Bowen, Junyou Li, Donghao Zhou, Lanqing Li, Jinpeng Li, Ercheng Wang, Jianye Hao*, Liang Shi, Chengqiang Lu, Jiezhong Qiu, Tingjun Hou*, Dongsheng Cao*, Guangyong Chen*, and Pheng Ann Heng. 2025. "Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view." Nature Communications 16, no. 1: 1-18.
  3. Wan, Liqi, Chengwei Zhang, Yu Liu, Jiacheng Zhang, Lei He, Yuchao Zhang, Guangyong Chen*, Pei Guo*, and Da Han*. 2025. "Small CAG Repeat RNA Forms a Duplex Structure with Sticky Ends That Promote RNA Condensation." Journal of the American Chemical Society 147, no. 4: 3813-3822.
  4. Liu, Jiacheng, Xingyu Fan, Chunbin Gu*, Yaodong Yang, Bian Wu, Guangyong Chen*, Chang-Yu Hsieh*, and Pheng-Ann Heng. 2025. "scHeteroNet: A Heterophily-Aware Graph Neural Network for Accurate Cell Type Annotation and Novel Cell Detection." Advanced Science 12, no. 16: 2412095.
  5. Chen, Kexin, Yuyang Du, Junyou Li, Hanqun Cao, Menghao Guo, Xilin Dang, Lanqing Li, Jiezhong Qiu, Guangyong Chen, and Pheng Ann Heng. 2025. "ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining." In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 7595-7603.
  6. Zhou, Xinyi, Guibao Shen, Yingcong Chen*, Guangyong Chen*, and Pheng Ann Heng. 2025. "DivPro: diverse protein sequence design with direct structure recovery guidance." Bioinformatics 41, no. Supplement_1: i382-i390.
  7. Gao, Xin, Hanqun Cao, Jinpeng Li, Jiezhong Qiu, Guangyong Chen, and Pheng-Ann Heng. 2025. "Gated-GPS: enhancing protein--protein interaction site prediction with scalable learning and imbalance-aware optimization." Briefings in Bioinformatics 26, no. 3: bbaf248.
  8. Xu, Wuqin, Qianru Wei, Bian Wu, Zhiqiang Zhu, Wenjun Guan, Guangyong Chen*, and Zhihao Xu*. 2025. "Genomic insights into Bordetella pertussis evolution and macrolide resistance in Yiwu, China." BMC Genomics 26, no. 1: 1049.
  9. Guo, Xuerong, Han Wang, Yifan Xiao, Huaxi Chen, Yinan Ke, ChenChen Miao, Pei Wang, Di Li, Chenwu Jin, Ling He, Yi Feng, Yongkun Zhang, Jiaying Xu, and Guangyong Chen. 2025. "Accelerating the Fast Radio Burst Search: Data Set and Methods." The Astrophysical Journal Supplement Series 280, no. 1: 34.
  10. Xu, Junde, Yapin Shi, Lijun Lang, Taoyong Cui, Zhiming Zhang, Guangyong Chen, Jiezhong Qiu, and Pheng-Ann Heng. 2025. "InstructPLM-mu: 1-Hour Fine-Tuning of ESM2 Beats ESM3 in Protein Mutation Predictions." arXiv preprint arXiv:2510.03370.
  11. Cao, Hanqun, Marcelo DT Torres, Jingjie Zhang... Guangyong Chen*, et al. 2025. "A deep reinforcement learning platform for antibiotic discovery." arXiv preprint arXiv:2509.18153.
  12. Yang, Yaodong, Yang Wang, Jinpeng Li*, Pei Guo, Da Han, Guangyong Chen*, and Pheng-Ann Heng. 2025. "Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search." arXiv preprint arXiv:2511.09900.
  13. Xu, Junde, Zijun Gao, Xinyi Zhou, Jie Hu, Xingyi Cheng, Le Song, Guangyong Chen, Pheng-Ann Heng, and Jiezhong Qiu. 2025. "Protein Inverse Folding From Structure Feedback." arXiv preprint arXiv:2506.03028.
  14. Lu, Jia-Min, Hui-Feng Wang, Qi-Hang Guo... Guangyong Chen*, Jianzhang Pan*, Zhan Lu*, and Qun Fang*. 2024. "Roboticized AI-assisted microfluidic photocatalytic synthesis and screening up to 10,000 reactions per day." Nature Communications 15, no. 1: 1-13.
  15. Yang, Yaodong, Guangyong Chen*, Jinpeng Li, Junyou Li, Odin Zhang, Xujun Zhang, Lanqing Li, Jianye Hao*, Ercheng Wang*, and Pheng-Ann Heng. 2024. "Enabling target-aware molecule generation to follow multi objectives with Pareto MCTS." Communications Biology 7, no. 1: 1074.
  16. Fan, Xingyu, Jiacheng Liu, Yaodong Yang, Chunbin Gu, Yuqiang Han, Bian Wu, Yirong Jiang, Guangyong Chen, and Pheng-Ann Heng. 2024. "scGraphformer: unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network." Communications Biology 7, no. 1: 1463.
  17. Long, Rongzhuo, Ziyu Guo, Da Han, Boxiang Liu, Xudong Yuan, Guangyong Chen, Pheng-Ann Heng, and Liang Zhang. 2024. "siRNADiscovery: a graph neural network for siRNA efficacy prediction via deep RNA sequence analysis." Briefings in Bioinformatics 25, no. 6: bbae563.
  18. Qiu, Jiezhong*, Junde Xu, Jie Hu, Hanqun Cao, Liya Hou, Zijun Gao, Xinyi Zhou, Anni Li, Xiujuan Li, Bin Cui, Fei Yang, Shuang Peng, Ning Sun, Fangyu Wang, Aimin Pan, Jie Tang, Jieping Ye, Junyang Lin, Jin Tang, Xingxu Huang, Pheng Ann Heng, and Guangyong Chen*. n.d. "InstructPLM: Aligning Protein Language Models to Follow Protein Structure Instructions." Under Review of Nature.
  19. Wang, Bowen, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen*, Xiaolong Zou*, and Pheng Ann Heng. 2024. "DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 38, no. 14: 15456-15465.
  20. Liang, Chen, Bowen Wang, Shaogang Hao, Guangyong Chen*, Pheng-Ann Heng, and Xiaolong Zou*. 2024. "Multi-Task Mixture Density Graph Neural Networks for Predicting Catalyst Performance." Advanced Functional Materials.
  21. Huang, Jiajian, Jinpeng Li, Qinchang Chen, Xia Wang, Guangyong Chen*, and Jin Tang*. 2024. "Freeprotmap: Waiting-free Prediction Method for Protein Distance Map." BMC Bioinformatics 25, no. 1: 176.
  22. Zhou, Donghao, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen*, and Pheng-Ann Heng. 2023. "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction." In The Conference on Computer Vision and Pattern Recognition (CVPR, Highlight).
  23. Zhou, Xinyi, Guangyong Chen*, Junjie Ye, Ercheng Wang, Jun Zhang, Cong Mao, Zhanwei Li, Jianye Hao, Xingxu Huang, Jin Tang, and Pheng Ann Heng. 2023. "ProRefiner: an Entropy-based Refining Strategy for Inverse Protein Folding with Global Graph Attention." Nature Communications 14, no. 1: 7434.
  24. Zhang, Odin, Jintu Zhang, Jieyu Jin, Xujun Zhang, RenLing Hu, Chao Shen, Hanqun Cao, Hongyan Du, Yu Kang, Yafeng Deng, Furui Liu*, Guangyong Chen*, Chang-Yu Hsieh*, and Tingjun Hou*. 2023. "ResGen is a Pocket-aware 3D Molecular Generation Model based on Parallel Multiscale Modeling." Nature Machine Intelligence: 1-11.
  25. Zhang, Odin, Tianyue Wang, Gaoqi Weng, Dejun Jiang, Ning Wang, Xiaorui Wang, Huifeng Zhao, Jialu Wu, Ercheng Wang, Guangyong Chen, Yafeng Deng, Peichen Pan*, Yu Kang*, Chang-Yu Hsieh*, and Tingjun Hou*. 2023. "Learning on Topological Surface and Geometric Structure for 3D Molecular Generation." Nature Computational Science 3, no. 10: 849-859.
  26. Zhang, Xujun, Odin Zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, Langcheng Wang, Peichen Pan*, Guangyong Chen*, Chang-Yu Hsieh*, and Tingjun Hou*. 2023. "Efficient and Accurate Large Library Ligand Docking with KarmaDock." Nature Computational Science: 1-11.
  27. Chen, Kexin, Guangyong Chen*, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, and Pheng-Ann Heng. 2023. "MetaRF: Attention-based Random Forest for Reaction Yield Prediction with a Few Trails." Journal of Cheminformatics.
  28. Chen, Kexin, Yaodong Yang, Bowen Wang, Jianye Hao, Guangyong Chen*, and Pheng Ann Heng. 2022. "Black-box Optimization Algorithms for Chemical Synthesis and Reaction Condition Optimization." Scientia Sinica Chimica.
  29. Feng, Fu, Jia-An Gan, Jingpeng Nong, Peng-Fei Chen, Guangyong Chen, Changjun Min, Xiaocong Yuan, and Michael Somekh. 2022. "Data Transmission with up to 100 Orbital Angular Momentum Modes via Commercial Multi-mode Fiber and Parallel Neural Networks." Optics Express, Editor's Pick.
  30. Wang, Xiaorui, Yuquan Li, Jiezhong Qiu, Guangyong Chen, Huanxiang Liu, Benben Liao, Chang-Yu Hsieh, and Xiaojun Yao. 2021. "RetroPrime: A Chemistry-Inspired and Transformer-based Method for Retro-synthesis Predictions." Chemical Engineering Journal.
  31. Wu, Zhenxing, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dongsheng Cao, and Tingjun Hou. 2021. "Hyperbolic Relational Graph Convolution Networks Plus: a Simple but Highly Efficient QSAR-modeling Method." Briefings in Bioinformatics.
  32. Jiang, Dejun, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dongsheng Cao, Jian Wu, and Tingjun Hou*. 2021. "Could Graph Neural Networks Learn Better Molecular Representation for Drug Discovery? A Comparison Study of Descriptor-based and Graph-based Models." Journal of Cheminformatics.
  33. Chen, Guangyong, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, and Shengyu Zhang. 2019. "Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models, Representation Learning on Graphs and Manifolds." ICLR 2019 Workshop.

AI Research


  1. Wang, Jiaze, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen*, Anfeng Liu, and Pheng-Ann Heng. 2025. "MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 39, no. 7: 7744-7752.
  2. Yuan, Yuchen, Xi Wang, Jinpeng Li, Guangyong Chen, and Pheng-Ann Heng. 2025. "PAL: Boosting Skin Lesion Segmentation via Probabilistic Attribute Learning." IEEE Transactions on Medical Imaging.
  3. Zhou, Xinyi, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen*, and Pheng Ann Heng. 2025. "Circuit Synthesis based on Hierarchical Conditional Diffusion." In Proceedings of the Great Lakes Symposium on VLSI, 634-640.
  4. Yang, Xikai, Jian Wu, Xi Wang, Yuchen Yuan, Jinpeng Li, Guangyong Chen, Ning Li Wang, and Pheng-Ann Heng. 2024. "Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images." IEEE Journal of Biomedical and Health Informatics.
  5. Wang, Yi, Jiaze Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, and Pheng-Ann Heng. 2024. "Point Cloud Understanding via Attention-Driven Contrastive Learning." arXiv preprint arXiv:2411.14744.
  6. Chen, Hao, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen*, and Pheng-Ann Heng. 2024. "SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning." In The British Machine Vision Conference (BMVC).
  7. Zhou, Donghao, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, and Guangyong Chen*. 2024. "Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes." In The British Machine Vision Conference (BMVC).
  8. Cao, Hanqun, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, and Stan Z Li. 2024. "A survey on generative diffusion models." IEEE Transactions on Knowledge and Data Engineering (TKDE).
  9. Yu, Yang, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin*, Guangyong Chen*, and Pheng Ann Heng. 2024. "ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 38, no. 15: 16587-16595.
  10. Yang, Yaodong, Guangyong Chen*, Jianye Hao*, and Pheng Ann Heng. 2024. "Sample-Efficient Multiagent Reinforcement Learning with Reset Replay." In Forty-first International Conference on Machine Learning (ICML).
  11. Xu, Junde, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen*, and Pheng-Ann Heng. 2024. "DPPMask: Masked Image Modeling with Determinantal Point Processes." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2266-2276.
  12. Wan, Zhongwei, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen*, and Yang Wang. 2023. "Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation." ACM Transactions on Information Systems (TOIS) 42, no. 2: 1-26.
  13. Li, Jinpeng, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen*, and Pheng-Ann Heng. 2023. "Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images." In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI, Early Accept).
  14. Li, Jinpeng, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen*, and Pheng-Ann Heng. 2023. "Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk." In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).
  15. Chen, Hao, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen*, and Pheng-Ann Heng. 2023. "Traj-MAE: Masked Autoencoders for Trajectory Prediction." In International Conference on Computer Vision (ICCV).
  16. Deng, Danruo, Guangyong Chen*, Yang Yu, Furui Liu, and Pheng-Ann Heng. 2023. "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning." In The Fortieth International Conference on Machine Learning (ICML).
  17. Xu, Junde, Donghao Zhou, Danruo Deng, Jingpeng Li, Cheng Chen, Xiangyun Liao, Guangyong Chen*, and Pheng Ann Heng. 2022. "Deep Learning in Cell Image Analysis." Intelligent Computing.
  18. Wan, Zhongwei, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen*, Xin Jiang, and Qun Liu Yang. 2022. "G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks." In The Conference on Empirical Methods in Natural Language Processing (EMNLP).
  19. Yang, Yaodong, Guangyong Chen*, Weixun Wang, Xiaotian Hao, Jianye Hao, and Pheng-Ann Heng. 2022. "Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing." In The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS).
  20. Yu, Yang, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, and Pheng-Ann Heng. 2022. "Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations." In The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
  21. Zhou, Xinyi, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen*, and Pheng Ann Heng. 2022. "Heterogeneous Graph Neural Network-based Imitation Learning for Gate Sizing Acceleration." In International Conference on Computer-Aided Design (ICCAD).
  22. Zhou, Donghao, Pengfei Chen, Qiong Wang, Guangyong Chen*, and Pheng-Ann Heng. 2022. "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels." In European Conference on Computer Vision (ECCV).
  23. Li, Jinpeng, Guangyong Chen*, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, and Pheng-Ann Heng. 2022. "Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification." In Medical Image Computing and Computer Assisted Interventions (MICCAI, Early accept).
  24. Zhang, Zhuo, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, and Fengyuan Zhu. 2022. "Approximate Range Thresholding." In Proceedings of the International Conference on Management of Data (SIGMOD).
  25. Wang, Bowen, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen*, and Pheng Ann Heng. 2022. "LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction." In Design Automation Conference (DAC).
  26. Deng, Danruo, Guangyong Chen*, Jianye Hao, Qiong Wang, and Pheng-Ann Heng. 2021. "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning." In Conference on Neural Information Processing Systems (NeurIPS).
  27. Shen, Guibao, Yingkui Zhang, Jialu Li, Mingqiang Wei, Qiong Wang*, Guangyong Chen*, and Pheng-Ann Heng. 2021. "Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance." In The 29th ACM International Conference on Multimedia (ACMMM).
  28. Li, Xianzhi, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, and Pheng-Ann Heng. 2021. "A Rotation-invariant Framework for Deep Point Cloud Analysis." IEEE Transactions on Visualization and Computer Graphics (TVCG).
  29. Chen, Pengfei, Guangyong Chen*, Junjie Ye*, Jingwei Zhao, and Pheng Ann Heng. 2021. "Noise Against Noise: Stochastic Label Noise Helps Combat Inherent Label Noise." In Ninth International Conference on Learning Representations (ICLR, Spotlight).
  30. Chen, Pengfei, Junjie Ye*, Guangyong Chen*, Jingwei Zhao, and Pheng Ann Heng. 2021. "Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise." In Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI).
  31. Chen, Pengfei, Junjie Ye*, Guangyong Chen*, Jingwei Zhao, and Pheng Ann Heng. 2021. "Robustness of Accuracy Metric and its Inspiration in Learning with Noisy Labels." In Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI).
  32. Tang, Hongyao, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, and Jianye Hao. 2021. "Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction." In Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI).
  33. Yang, Yaodong, Jianye Hao*, Guangyong Chen*, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, and Zhongyu Wei. 2020. "Q-value Path Decomposition for Deep Multiagent Reinforcement Learning." In Thirty-seventh International Conference on Machine Learning (ICML).
  34. Liu, Weiwen, Feng Liu, Ruiming Tang*, Ben Liao, Guangyong Chen*, and Pheng Ann Heng. 2020. "Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning." In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD).
  35. Meng, Yitong, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, and Guangyong Chen. 2020. "PMD: An Optimal Transportation-Based User Distance for Recommender Systems." In European Conference on Information Retrieval (ECIR).
  36. Chen, Pengfei, Benben Liao, Guangyong Chen*, and Shengyu Zhang. 2019. "Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels." In International Conference on Machine Learning (ICML), 1062-1070. PMLR.
  37. Meng, Yitong, Guangyong Chen, Jiajin Li, and Shengyu Zhang. 2019. "PsRec: Social Recommendation with Pseudo Ratings." In The 13th ACM Recommender Systems Conference (RecSys).
  38. Chen, Guangyong, Fengyuan Zhu, and Pheng Ann Heng. 2018. "Large-scale Bayesian Probabilistic Matrix Factorization with Memo-free Distributed Variational Inference." ACM Transactions on Knowledge Discovery from Data (TKDD) 12, no. 3: 1-24.
  39. Hao, Jianye, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, and Zhong Ming. 2017. "Efficient and Robust Emergence of Norms through Heuristic Collective Learning." ACM Transactions on Autonomous and Adaptive Systems (TAAS) 12, no. 4: 1-20.
  40. Chen, Guangyong, Shengyu Zhang, Di Lin, Hui Huang, and Pheng Ann Heng. 2017. "Learning to Aggregate Ordinal Labels by Maximizing Separating Width." In The 34th International Conference on Machine Learning (ICML). Sydney, Australia.
  41. Lin, Di, Guangyong Chen, Daniel Cohen-Or, Pheng Ann Heng, and Hui Huang. 2017. "Cascaded Feature Network for Semantic Segmentation of RGB-D Images." In IEEE International Conference on Computer Vision (ICCV). Venice, Italy.
  42. Zhu, Fengyuan, Guangyong Chen*, Jianye Hao, and Pheng Ann Heng. 2017. "Blind Image Denoising via Dependent Dirichlet Process Tree." IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 39, no. 8: 1518-1531.
  43. Zhu, Fengyuan, Guangyong Chen, and Pheng Ann Heng. 2016. "From Noise Modeling to Blind Image Denoising." In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, Nevada, USA.
  44. Zhu, Fengyuan, Guangyong Chen, and Pheng Ann Heng. 2016. "A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction." In IEEE International Conference on Data Mining (ICDM). Barcelona, Spain.
  45. Chen, Guangyong, Fengyuan Zhu, and Pheng Ann Heng. 2015. "An Efficient Statistical Method for Image Noise Level Estimation." In IEEE International Conference on Computer Vision (ICCV). Santiago, Chile.
发表著作
（1） 计算制药, 浙江大学出版社, 2022-10, 第 1 作者