Guangyong Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 97

Top Topics

Diffusion Model

Matrix Factorization

Reinforcement Learning

Top Venues

Publications

Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. CoRR (2024)
Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI (2024)
Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng
SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR (2024)
Jiajian Huang, Jinpeng Li, Qinchang Chen, Xia Wang, Guangyong Chen, Jin Tang
Freeprotmap: waiting-free prediction method for protein distance map. BMC Bioinform. 25 (1) (2024)
Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
PointPatchMix: Point Cloud Mixing with Patch Scoring. AAAI (2024)
Guibao Shen, Luozhou Wang, Jiantao Lin, Wenhang Ge, Chaozhe Zhang, Xin Tao, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Guangyong Chen, Yijun Li, Ying-Cong Chen
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance. CoRR (2024)
Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen
An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR (2024)
Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
TripletMix: Triplet Data Augmentation for 3D Understanding. CoRR (2024)
Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. CoRR (2024)
Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. ICRA (2024)
Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng
DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV (2024)
Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI (2024)
Odin Zhang, 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, Tingjun Hou
Learning on topological surface and geometric structure for 3D molecular generation. Nat. Comput. Sci. 3 (10) (2023)
Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR (2023)
Zhiyong You, Guangyong Chen
Research on Cyber Security Situation Awareness System Based on Knowledge Graph. ICISE (2023)
Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32 (2023)
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) (2023)
Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR (2023)
Menghao Guo, Fan Wu, Jinling Jiang, Xiaoran Yan, Guangyong Chen, Wenhui Li, Yunhong Zhao, Zeyi Sun
Investigations on Scientific Literature Meta Information Extraction Using Large Language Models. ICKG (2023)
Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV (2023)
Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) (2023)
Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng
DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR (2023)
Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Guangyong Chen, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng
Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. CoRR (2023)
Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) (2023)
Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR (2023)
Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
PointPatchMix: Point Cloud Mixing with Patch Scoring. CoRR (2023)
Odin Zhang, 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, Tingjun Hou
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nat. Mac. Intell. 5 (9) (2023)
Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR (2023)
Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML (2023)
Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR (2023)
Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng-Ann Heng
MetaRF: attention-based random forest for reaction yield prediction with a few trails. J. Cheminformatics 15 (1) (2023)
Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. CVPR (2023)
Xujun Zhang, 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, Tingjun Hou
Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 3 (9) (2023)
Chen Liang, Bowen Wang, Shaogang Hao, Guangyong Chen, Pheng-Ann Heng, Xiaolong Zou
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. CoRR (2022)
Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction. CoRR (2022)
Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. CoRR (2022)
Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. CoRR (2022)
Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR (2022)
Zhongwei Wan, Benyou Wang, Xin Liu, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation. CoRR (2022)
Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. IROS (2022)
Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
A Survey on Generative Diffusion Model. CoRR (2022)
Zhuo Zhang, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, Fengyuan Zhu
Approximate Range Thresholding. SIGMOD Conference (2022)
Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. NAACL-HLT (Findings) (2022)
Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP (2022)
Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS (2022)
Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. CoRR (2022)
Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) (2022)
Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD (2022)
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC (2022)
Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
A Rotation-Invariant Framework for Deep Point Cloud Analysis. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Pheng-Ann Heng
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails. CoRR (2022)
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR (2022)
Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. ECCV (24) (2022)
Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. AAAI (2021)
Zhenxing Wu, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dong-Sheng Cao, Tingjun Hou
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. Briefings Bioinform. 22 (5) (2021)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR (2021)
Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. AAAI (2021)
Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. NeurIPS (2021)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR (2021)
Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. CoRR (2021)
Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong-Sheng Cao, Jian Wu, Tingjun Hou
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. J. Cheminformatics 13 (1) (2021)
Guibao Shen, Yingkui Zhang, Jialu Li, Mingqiang Wei, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance. ACM Multimedia (2021)
Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI (2021)
Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng
Noise against noise: stochastic label noise helps combat inherent label noise. ICLR (2021)
Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. CoRR (2020)
Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. CoRR (2020)
Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
A Rotation-Invariant Framework for Deep Point Cloud Analysis. CoRR (2020)
Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen
PMD: An Optimal Transportation-Based User Distance for Recommender Systems. ECIR (2) (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML (2020)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. PAKDD (1) (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR (2020)
Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR (2020)
Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen
PMD: A New User Distance for Recommender Systems. CoRR (2019)
Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. CoRR (2019)
Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. ICML (2019)
Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. CoRR (2019)
Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR (2019)
Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. CoRR (2019)
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR (2019)
Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. CoRR (2019)
Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR (2019)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR (2019)
Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. CoRR (2019)
Xueying Shi, Guangyong Chen, Pheng-Ann Heng, Zhang Yi
Tracking topology structure adaptively with deep neural networks. Neural Comput. Appl. 30 (11) (2018)
Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng
Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference. ACM Trans. Knowl. Discov. Data 12 (3) (2018)
Yitong Meng, Guangyong Chen, Jiajin Li, Shengyu Zhang
Psrec: social recommendation with pseudo ratings. RecSys (2018)
Jianye Hao, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming
Efficient and Robust Emergence of Norms through Heuristic Collective Learning. ACM Trans. Auton. Adapt. Syst. 12 (4) (2018)
Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
Blind Image Denoising via Dependent Dirichlet Process Tree. IEEE Trans. Pattern Anal. Mach. Intell. 39 (8) (2017)
Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng
Learning to Aggregate Ordinal Labels by Maximizing Separating Width. ICML (2017)
Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang
Cascaded Feature Network for Semantic Segmentation of RGB-D Images. ICCV (2017)
Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng
A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. ICDM (2016)
Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng
Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization. CoRR (2016)
Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
Blind Image Denoising via Dependent Dirichlet Process Tree. CoRR (2016)
Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng
From Noise Modeling to Blind Image Denoising. CVPR (2016)
Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng
An Efficient Statistical Method for Image Noise Level Estimation. ICCV (2015)