Zhongyi Pei

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All published works

Action	Title	Year	Authors
+ PDF Chat	Requirements Engineering for Machine Learning: A Review and Reflection	2022	Zhongyi Pei Lin Liu Chen Wang Jianmin Wang
+	Requirements Engineering for Machine Learning: A Review and Reflection	2022	Zhongyi Pei Lin Liu Wang Chen Jianmin Wang
+ PDF Chat	Multi-Adversarial Domain Adaptation	2018	Zhongyi Pei Zhangjie Cao Mingsheng Long Jianmin Wang
+	Multi-Adversarial Domain Adaptation	2018	Zhongyi Pei Zhangjie Cao Mingsheng Long Jianmin Wang
+	Energy Efficient Ant Colony Algorithms for Data Aggregation in Wireless Sensor Networks	2012	Chi Lin Guowei Wu Feng Xia Mingchu Li Lin Yao Zhongyi Pei
+	Energy efficient ant colony algorithms for data aggregation in wireless sensor networks	2011	Chi Lin Guowei Wu Feng Xia Mingchu Li Lin Yao Zhongyi Pei

Common Coauthors

Coauthor	Papers Together
Jianmin Wang	4
Chi Lin	2
Mingsheng Long	2
Guowei Wu	2
Lin Yao	2
Mingchu Li	2
Feng Xia	2
Zhangjie Cao	2
Wang Chen	1
Chen Wang	1
Lin Liu	1
Lin Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Deep Domain Confusion: Maximizing for Domain Invariance	2014	Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell	2
+	Domain Adaptation: Learning Bounds and Algorithms	2009	Yishay Mansour Mehryar Mohri Afshin Rostamizadeh	2
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	2
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	2
+	Natural Language Processing (almost) from Scratch	2011	Ronan Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa	2
+	Domain Separation Networks	2016	Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan Dumitru Erhan	2
+	Mode Regularized Generative Adversarial Networks	2016	Tong Che Yanran Li Athul Paul Jacob Yoshua Bengio Wenjie Li	2
+	Towards Principled Methods for Training Generative Adversarial Networks	2017	Martín Arjovsky Léon Bottou	2
+	Deep Transfer Learning with Joint Adaptation Networks	2016	Mingsheng Long Zhu Han Jianmin Wang Michael I. Jordan	2
+	Unrolled Generative Adversarial Networks	2016	Luke Metz Ben Poole David Pfau Jascha Sohl‐Dickstein	1
+	Generative Multi-Adversarial Networks	2016	Ishan Durugkar Ian Gemp Sridhar Mahadevan	1
+	How transferable are features in deep neural networks	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson	1
+ PDF Chat	A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems	2021	Sina Mohseni Niloofar Zarei Eric D. Ragan	1
+	Unsupervised Domain Adaptation with Residual Transfer Networks	2016	Mingsheng Long Zhu Han Jianmin Wang Michael I. Jordan	1
+	LSDA: Large Scale Detection Through Adaptation	2014	Judy Hoffman Sergio Guadarrama Eric Tzeng Ronghang Hu Jeff Donahue Ross Girshick Trevor Darrell Kate Saenko	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+	ImageNet Large Scale Visual Recognition Challenge	2014	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Non-functional Requirements for Machine Learning: Understanding Current Use and Challenges in Industry	2021	Khan Mohammad Habibullah Jennifer Horkoff	1
+	Unrolled Generative Adversarial Networks	2016	Luke Metz Ben Poole David Pfau Jascha Sohl‐Dickstein	1
+ PDF Chat	Simultaneous Deep Transfer Across Domains and Tasks	2017	Judy Hoffman Eric Tzeng Trevor Darrell Kate Saenko	1
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	1
+	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition	2013	Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell	1
+	How transferable are features in deep neural networks?	2014	Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson	1
+	Wasserstein GAN	2017	Martín Arjovsky Soumith Chintala Léon Bottou	1
+ PDF Chat	Requirements Engineering Challenges in Building AI-Based Complex Systems	2019	Hrvoje Belani Marin Vuković Željka Car	1
+ PDF Chat	Requirements Engineering for Machine Learning: Perspectives from Data Scientists	2019	Andreas Vogelsang Markus Borg	1
+ PDF Chat	Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems	2021	Laura von Rueden Sebastian Mayer Katharina Beckh Bogdan Georgiev Sven Giesselbach Raoul Heese Birgit Kirsch Michał Walczak Julius Pfrommer Annika Pick	1
+	Integrating Physics-Based Modeling with Machine Learning: A Survey	2020	Jared Willard Xiaowei Jia Shaoming Xu Michael Steinbach Vipin Kumar	1
+ PDF Chat	How do Data Science Workers Collaborate? Roles, Workflows, and Tools	2020	Amy X. Zhang Michael Müller Dakuo Wang	1
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Autonomics: In search of a foundation for next-generation autonomous systems	2020	David Harel Assaf Marron Joseph Sifakis	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+ PDF Chat	Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology	2021	Stefan Studer Thanh Binh Bui Christian Drescher Alexander Hanuschkin Ludwig Winkler Steven Peters Klaus‐Robert Müller	1
+ PDF Chat	A Survey on Bias and Fairness in Machine Learning	2021	Ninareh Mehrabi Fred Morstatter Nripsuta Ani Saxena Kristina Lerman Aram Galstyan	1
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+ PDF Chat	Simultaneous Deep Transfer Across Domains and Tasks	2015	Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko	1
+	Unsupervised Domain Adaptation with Residual Transfer Networks	2016	Mingsheng Long Zhu Han Jianmin Wang Michael I. Jordan	1