Guangyong Chen(陈广勇)
Guangyong Chen(陈广勇)
在 siat.ac.cn 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
An Efficient Statistical Method for Image Noise Level Estimation
G Chen, F Zhu, PA Heng
International Conference on Computer Vision (ICCV), 2015, pp. 477-485, 2015
1542015
Understanding and utilizing deep neural networks trained with noisy labels
P Chen, BB Liao, G Chen, S Zhang
International Conference on Machine Learning, 1062-1070, 2019
1102019
Cascaded feature network for semantic segmentation of RGB-D images
D Lin, G Chen, D Cohen-Or, PA Heng, H Huang
Proceedings of the IEEE international conference on computer vision, 1311-1319, 2017
792017
From noise modeling to blind image denoising
F Zhu, G Chen, PA Heng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
632016
Qatten: A general framework for cooperative multiagent reinforcement learning
Y Yang, J Hao, B Liao, K Shao, G Chen, W Liu, H Tang
arXiv preprint arXiv:2002.03939, 2020
322020
Alchemy: A quantum chemistry dataset for benchmarking ai models
G Chen, P Chen, CY Hsieh, CK Lee, B Liao, R Liao, W Liu, J Qiu, Q Sun, ...
arXiv preprint arXiv:1906.09427, 2019
272019
Rethinking the usage of batch normalization and dropout in the training of deep neural networks
G Chen, P Chen, Y Shi, CY Hsieh, B Liao, S Zhang
arXiv preprint arXiv:1905.05928, 2019
252019
Efficient and Robust Emergence of Norms through Heuristic Collective Learning
J Hao, JS Sun, G Chen, Z Wang, C Yu, Z Ming
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 12 (4), Article …, 2017
182017
Log hyperbolic cosine loss improves variational auto-encoder
P Chen, G Chen, S Zhang
162018
Blind image denoising via dependent Dirichlet process tree
F Zhu, G Chen, J Hao, PA Heng
IEEE transactions on pattern analysis and machine intelligence 39 (8), 1518-1531, 2016
162016
Q-value path decomposition for deep multiagent reinforcement learning
Y Yang, J Hao, G Chen, H Tang, Y Chen, Y Hu, C Fan, Z Wei
International Conference on Machine Learning, 10706-10715, 2020
152020
A rotation-invariant framework for deep point cloud analysis
X Li, R Li, G Chen, CW Fu, D Cohen-Or, PA Heng
IEEE Transactions on Visualization and Computer Graphics, 2021
142021
Spectral-based graph convolutional network for directed graphs
Y Ma, J Hao, Y Yang, H Li, J Jin, G Chen
arXiv preprint arXiv:1907.08990, 2019
132019
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
D Jiang, Z Wu, CY Hsieh, G Chen, B Liao, Z Wang, C Shen, D Cao, J Wu, ...
Journal of cheminformatics 13 (1), 1-23, 2021
122021
Psrec: social recommendation with pseudo ratings
Y Meng, G Chen, J Li, S Zhang
Proceedings of the 12th ACM Conference on Recommender Systems, 397-401, 2018
82018
Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference
G Chen, F Zhu, PA Heng
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (3), 31, 2018
82018
Learning to aggregate ordinal labels by maximizing separating width
G Chen, S Zhang, D Lin, H Huang, PA Heng
International Conference on Machine Learning, 787-796, 2017
72017
Beyond class-conditional assumption: A primary attempt to combat instance-dependent label noise
P Chen, J Ye, G Chen, J Zhao, PA Heng
arXiv preprint arXiv:2012.05458, 2020
62020
Projection-embedded BYY learning algorithm for Gaussian mixture-based clustering
G CHEN, PA HENG, L XU
Applied Informatics 1 (Vol. 1), pp. 1-20, 2014
62014
Robustness of accuracy metric and its inspirations in learning with noisy labels
P Chen, J Ye, G Chen, J Zhao, PA Heng
arXiv preprint arXiv:2012.04193, 2020
42020
系統目前無法執行作業,請稍後再試。
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