Pengfei Chen

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All published works

Action	Title	Year	Authors
+	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction	2021	Hongyao Tang Zhaopeng Meng Guangyong Chen Pengfei Chen Chen Chen Yaodong Yang Luo Zhang Wulong Liu Jianye Hao
+	Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise	2020	Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng‐Ann Heng
+	Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels	2020	Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng‐Ann Heng
+	The study on interface characteristics near the metal wall by a molecular dynamics method	2017	Lei Chen Pengfei Chen Zhong-Zhen Li Ya‐Ling He Wen‐Quan Tao
+	CHAOS: Accurate and Realtime Detection of Aging-Oriented Failure Using Entropy	2015	Pengfei Chen Yong Qi Di Hou
+	Making Availability as a Service in the Clouds	2015	Pengfei Chen Yong Qi Peipei Wang Li Su Xinyi Li
+	Bio-inspired Mechanism and Model Exploration of Software Aging	2014	Pengfei Chen Yong Qi Di Hou Jiankang Liu

Common Coauthors

Coauthor	Papers Together
Yong Qi	3
Guangyong Chen	3
Jingwei Zhao	2
Pheng‐Ann Heng	2
Di Hou	2
Junjie Ye	2
Yaodong Yang	1
Lei Chen	1
Xinyi Li	1
Peipei Wang	1
Chen Chen	1
Jiankang Liu	1
Li Su	1
Hongyao Tang	1
Luo Zhang	1
Ya‐Ling He	1
Zhaopeng Meng	1
Wulong Liu	1
Jianye Hao	1
Wen‐Quan Tao	1
Zhong-Zhen Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise	2018	Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel	2
+	Are Anchor Points Really Indispensable in Label-Noise Learning?	2019	Xiaobo Xia Tongliang Liu Nannan Wang Bo Han Gong Chen Gang Niu Masashi Sugiyama	2
+	SELF: Learning to Filter Noisy Labels with Self-Ensembling	2019	Duc Tam Nguyen Chaithanya Kumar Mummadi Thi Phuong Nhung Ngo Thi Nguyen Laura Beggel Thomas Brox	2
+	How does Disagreement Help Generalization against Label Corruption?	2019	Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama	2
+	DivideMix: Learning with Noisy Labels as Semi-supervised Learning	2020	Junnan Li Steven C. H. Hoi Richard Socher	2
+	Unsupervised Label Noise Modeling and Loss Correction	2019	Eric Arazo Diego Ortego Paul Albert Noel E. O’Connor Kevin McGuinness	2
+	Generalized cross entropy loss for training deep neural networks with noisy labels	2018	Zhilu Zhang Mert R. Sabuncu	2
+	DivideMix: Learning with Noisy Labels as Semi-supervised Learning	2020	Junnan Li Richard Socher Steven C. H. Hoi	2
+	A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR	2019	Pengfei Chen Benben Liao Guangyong Chen Shengyu Zhang	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Parts-dependent Label Noise: Towards Instance-dependent Label Noise	2020	Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Mingming Gong Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama	2
+ PDF Chat	Joint Optimization Framework for Learning with Noisy Labels	2018	Daiki Tanaka Daiki Ikami Toshihiko Yamasaki Kiyoharu Aizawa	2
+ PDF Chat	Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach	2017	Giorgio Patrini Alessandro Rozza Aditya Krishna Menon Richard Nock Lizhen Qu	2
+	Part-dependent Label Noise: Towards Instance-dependent Label Noise	2020	Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Mingming Gong Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama	2
+	Understanding deep learning requires rethinking generalization	2016	Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	Distillation $\approx$ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network	2019	Bin Dong Jikai Hou Yiping Lu Zhihua Zhang	1
+	Confidence Scores Make Instance-dependent Label-noise Learning Possible	2020	Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama	1
+ PDF Chat	On the Efficacy of Knowledge Distillation	2019	Jang Hyun Cho Bharath Hariharan	1
+	Error-Bounded Correction of Noisy Labels	2020	Songzhu Zheng Pengxiang Wu Aman Goswami Mayank Goswami Dimitris Metaxas Chao Chen	1
+	Learning with Bounded Instance- and Label-dependent Label Noise	2017	Jiacheng Cheng Tongliang Liu Kotagiri Ramamohanarao Dacheng Tao	1
+	Principal Component Analysis	2005	Ian T. Jolliffe	1
+	Rethinking Importance Weighting for Deep Learning under Distribution Shift	2020	Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama	1
+	Matrix correlation	1984	J. O. Ramsay Jos ten Berge George P. H. Styan	1
+ PDF Chat	Making risk minimization tolerant to label noise	2015	Aritra Ghosh Naresh Manwani P. S. Sastry	1
+ PDF Chat	Convexity, Classification, and Risk Bounds	2006	Peter L. Bartlett Michael I. Jordan Jon McAuliffe	1
+ PDF Chat	Entropy production in a cell and reversal of entropy flow as an anticancer therapy	2008	Liaofu Luo	1
+ PDF Chat	On Hoeffding’s inequalities	2004	V. Bentkus	1
+	Molecular dynamics simulation of a thin water layer evaporation and evaporation coefficient	2005	Tzung Han Yang Chin Pan	1
+ PDF Chat	Noise Tolerance Under Risk Minimization	2012	Naresh Manwani P. S. Sastry	1
+	Training Deep Neural Networks on Noisy Labels with Bootstrapping	2014	Scott Reed Honglak Lee Dragomir Anguelov Christian Szegedy Dumitru Erhan Andrew Rabinovich	1
+ PDF Chat	Universal distribution of component frequencies in biological and technological systems	2013	Tin Yau Pang Sergei Maslov	1
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	1
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	1
+	Safeguarded Dynamic Label Regression for Generalized Noisy Supervision	2019	Jiangchao Yao Ya Zhang Ivor W. Tsang Jun Sun	1
+	TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING	2015	Scott Reed Honglak Lee Dragomir Anguelov Christian Szegedy Dumitru Erhan Andrew Rabinovich	1
+ PDF Chat	Robust Loss Functions under Label Noise for Deep Neural Networks	2017	Aritra Ghosh Himanshu Kumar P. S. Sastry	1
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	1
+ PDF Chat	Iterative Learning with Open-set Noisy Labels	2018	Yisen Wang Weiyang Liu Xingjun Ma James Bailey Hongyuan Zha Le Song Shu‐Tao Xia	1