Yue Zhu

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Feasible eigenvalue sensitivity for large power systems 1993 T. Smed
2
+ PDF Chat Distributed Kalman Filter for A Class of Nonlinear Uncertain Systems: An Extended State Method 2018 Xingkang He
Xiaocheng Zhang
Wenchao Xue
Haitao Fang
2
+ Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging 2015 John W. Simpson-Porco
Qobad Shafiee
Florian Dörfler
Juan C. VĂĄsquez
Josep M. Guerrero
Francesco Bullo
2
+ On Information Transfer-Based Characterization of Power System Stability 2019 Subhrajit Sinha
Pranav Sharma
Umesh Vaidya
Venkataramana Ajjarapu
2
+ Event-triggered distributed MPC for voltage control of an islanded microgrid. 2020 Pudong Ge
Boli Chen
Fei Teng
2
+ Using Web Co-occurrence Statistics for Improving Image Categorization 2013 Samy Bengio
Jay B. Dean
Dumitru Erhan
Eugene Ie
Quoc V. Le
Andrew Rabinovich
Jonathon Shlens
Yoram Singer
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat A Decomposable Attention Model for Natural Language Inference 2016 Ankur P. Parikh
Oscar TÀckström
Dipanjan Das
Jakob Uszkoreit
1
+ PDF Chat Aggregated Residual Transformations for Deep Neural Networks 2017 Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
1
+ Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer 2016 Sergey Zagoruyko
Nikos Komodakis
1
+ PDF Chat Multigrid Neural Architectures 2017 Tsung-Wei Ke
Michael Maire
Stella X. Yu
1
+ PDF Chat Deep Reinforcement Learning with Double Q-Learning 2016 Hado van Hasselt
Arthur Guez
David Silver
1
+ A Survey of Model Compression and Acceleration for Deep Neural Networks 2017 Yu Cheng
Duo Wang
Pan Zhou
Tao Zhang
1
+ PDF Chat MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
1
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
1
+ Wide Residual Networks 2016 Sergey Zagoruyko
Nikos Komodakis
1
+ Knowledge Distillation by On-the-Fly Native Ensemble 2018 Lan Xu
Xiatian Zhu
Shaogang Gong
1
+ Neural Machine Translation by Jointly Learning to Align and Translate 2015 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
1
+ PDF Chat Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2017 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
1
+ PDF Chat Learning Lightweight Lane Detection CNNs by Self Attention Distillation 2019 Yuenan Hou
Zheng Ma
Chunxiao Liu
Chen Change Loy
1
+ PDF Chat A Comprehensive Overhaul of Feature Distillation 2019 Byeongho Heo
Jeesoo Kim
Sangdoo Yun
Hyojin Park
Nojun Kwak
Jin Young Choi
1
+ PDF Chat Similarity-Preserving Knowledge Distillation 2019 Fred Tung
Greg Mori
1
+ PDF Chat Revisiting Knowledge Distillation via Label Smoothing Regularization 2020 Li Yuan
Francis EH Tay
Guilin Li
Tao Wang
Jiashi Feng
1
+ PDF Chat STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control 2020 Yanan Wang
Tong Xu
Xin Niu
Chang Tan
Enhong Chen
Hui Xiong
1
+ A Deep Reinforcement Learning Network for Traffic Light Cycle Control 2019 Xiaoyuan Liang
Xunsheng Du
Guiling Wang
Zhu Han
1
+ PDF Chat Self-Organizing Traffic Lights: A Realistic Simulation 2013 Seung-Bae Cools
Carlos Gershenson
Bart D’Hooghe
1
+ PDF Chat Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability 2021 Yue Zhu
Yunjie Gu
Yitong Li
T.C. Green
1
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
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
+ Do Deep Nets Really Need to be Deep? 2013 Jimmy Ba
Rich Caruana
1
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
1