Xueying Zhan

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	AutoAL: Automated Active Learning with Differentiable Query Strategy Search	2024	Yifeng Wang Xueying Zhan Siyu Huang
+ PDF Chat	CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders.	2024	Chentianye Xu Xueying Zhan Min Xu
+ PDF Chat	Deep Active Learning with Noise Stability	2024	Xingjian Li Pengkun Yang Yangcheng Gu Xueying Zhan Tianyang Wang Min Xu Cheng‐Zhong Xu
+	A Comparative Survey of Deep Active Learning	2022	Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan
+	Deep Active Learning with Noise Stability	2022	Xingjian Li Pengkun Yang Tianyang Wang Xueying Zhan Min Xu Dejing Dou Cheng‐Zhong Xu
+	Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios	2022	Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan
+ PDF Chat	ALdataset: a benchmark for pool-based active learning	2020	Xueying Zhan Antoni B. Chan

Common Coauthors

Coauthor	Papers Together
Dejing Dou	3
Antoni B. Chan	3
Pengkun Yang	2
Tianyang Wang	2
Xingjian Li	2
Haoyi Xiong	2
Qingzhong Wang	2
Cheng‐Zhong Xu	2
Chentianye Xu	1
Min Xu	1
Yangcheng Gu	1
Siyu Huang	1
Min Xu	1
Zeyu Dai	1
Kuan-Hao Huang	1
Yifeng Wang	1
Qing Li	1
Min Xu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Bayesian Active Learning for Classification and Preference Learning	2011	Neil Houlsby Ferenc Huszár Zoubin Ghahramani Máté Lengyel	1
+	Training with Noise is Equivalent to Tikhonov Regularization	1995	Chris Bishop	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	1
+	Active Learning for Speech Recognition: the Power of Gradients	2016	Jiaji Huang Rewon Child Vinay Rao Hairong Liu Sanjeev Satheesh Adam Coates	1
+	Understanding Black-box Predictions via Influence Functions	2017	Pang Wei Koh Percy Liang	1
+	Cost-Effective Active Learning for Melanoma Segmentation	2017	Marc Górriz Blanch Xavier Giró-i-Nieto Axel Carlier Emmanuel Faure	1
+	Active Learning for Convolutional Neural Networks: A Core-Set Approach	2017	Ozan Şener Silvio Savarese	1
+	Adversarial Active Learning for Deep Networks: a Margin Based Approach	2018	Mélanie Ducoffe Fŕed́eric Precioso	1
+ PDF Chat	Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection	2018	Weicheng Kuo Christian Häne Esther L. Yuh Pratik Mukherjee Jitendra Malik	1
+	Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds	2019	Jordan T. Ash Chicheng Zhang Akshay Krishnamurthy John Langford Alekh Agarwal	1
+	Learning Active Learning from Data	2017	Ksenia Konyushkova Raphael Sznitman Pascal Fua	1
+	BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning	2019	Andreas Kirsch Joost van Amersfoort Yarin Gal	1
+	Deep Bayesian Active Learning with Image Data	2017	Yarin Gal Riashat Islam Zoubin Ghahramani	1
+ PDF Chat	Learning Loss for Active Learning	2019	Donggeun Yoo In So Kweon	1
+	Determinantal Point Processes for Mini-Batch Diversification	2017	Cheng Zhang Hedvig Kjellström Stephan Mandt	1
+	Stronger generalization bounds for deep nets via a compression approach	2018	Sanjeev Arora Rong Ge Behnam Neyshabur Yi Zhang	1
+ PDF Chat	DeepPicker: A deep learning approach for fully automated particle picking in cryo-EM	2016	Feng Wang Huichao Gong Gaochao Liu Meijing Li Chuangye Yan Tian Xia Xueming Li Jianyang Zeng	1
+ PDF Chat	Active Discriminative Text Representation Learning	2017	Ye Zhang Matthew Lease Byron Wallace	1
+ PDF Chat	Variational Adversarial Active Learning	2019	Samrath Sinha Sayna Ebrahimi Trevor Darrell	1
+ PDF Chat	Adversarial Sampling for Active Learning	2020	Christoph Mayer Radu Timofte	1
+ PDF Chat	State-Relabeling Adversarial Active Learning	2020	Beichen Zhang Liang Li Shijie Yang Shuhui Wang Zheng-Jun Zha Qingming Huang	1
+ PDF Chat	A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy	2017	Yanan Zhu Qi Ouyang Youdong Mao	1
+ PDF Chat	A General Framework for Uncertainty Estimation in Deep Learning	2020	Antonio Loquercio Mattia Segù Davide Scaramuzza	1
+ PDF Chat	Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs	2019	Tristan Bepler Andrew Morin Micah Rapp Julia Brasch Lawrence Shapiro Alex J. Noble Bonnie Berger	1
+	Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning	2021	Alexander Immer Matthias Bauer Vincent Fortuin Gunnar Rätsch Khan Emtiyaz	1
+	Gone Fishing: Neural Active Learning with Fisher Embeddings.	2021	Jordan T. Ash Surbhi Goel Akshay Krishnamurthy Sham M. Kakade	1
+ PDF Chat	Sequential Graph Convolutional Network for Active Learning	2021	Razvan Caramalau Binod Bhattarai Tae‐Kyun Kim	1
+	Batch Active Learning at Scale	2021	Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar	1
+ PDF Chat	Influence Selection for Active Learning	2021	Zhuoming Liu Hao Ding Huaping Zhong Weijia Li Jifeng Dai Conghui He	1
+ PDF Chat	Boosting Active Learning via Improving Test Performance	2022	Tianyang Wang Xingjian Li Pengkun Yang Guosheng Hu Xiangrui Zeng Siyu Huang Cheng‐Zhong Xu Min Xu	1
+	Bayesian Deep Learning via Subnetwork Inference	2020	Erik Daxberger Eric Nalisnick James Urquhart Allingham Javier Antorán José Miguel Hernández-Lobato	1
+	Active Learning with Statistical Models	1996	D. A. Cohn Z. Ghahramani M. I. Jordan	1
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	1