Weijun Wang

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All published works
Action Title Year Authors
+ PDF Chat MobileNetV4 - Universal Models for the Mobile Ecosystem 2024 Danfeng Qin
Chas Leichner
Manolis Delakis
Marco Fornoni
Shixin Luo
Fan Yang
Weijun Wang
Colby Banbury
Chengxi Ye
Berkin Akin
+ PDF Chat AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics 2023 Tingting Yuan
Liang Mi
Weijun Wang
Haipeng Dai
Xiaoming Fu
+ AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics 2023 Tingting Yuan
Liang Mi
Weijun Wang
Haipeng Dai
Xiaoming Fu
+ SwapMoE: Efficient Memory-Constrained Serving of Large Sparse MoE Models via Dynamic Expert Pruning and Swapping 2023 Rui Kong
Yuanchun Li
Qingtian Feng
Weijun Wang
Linghe Kong
Yunxin Liu
+ PDF Chat Discovering Multi-Hardware Mobile Models via Architecture Search 2021 Grace Chu
Okan Arıkan
Gabriel Bender
Weijun Wang
Achille Brighton
Pieter-Jan Kindermans
Hanxiao Liu
Berkin Akin
Suyog Gupta
Andrew Howard
+ MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context 2021 Weijun Wang
Andrew Howard
+ Discovering Multi-Hardware Mobile Models via Architecture Search 2020 Grace Chu
Okan Arıkan
Gabriel Bender
Weijun Wang
Achille Brighton
Pieter-Jan Kindermans
Hanxiao Liu
Berkin Akin
Suyog Gupta
Andrew Howard
+ PDF Chat Geo-Aware Networks for Fine-Grained Recognition 2019 Grace Chu
Brian Potetz
Weijun Wang
Andrew Howard
Yang Song
Fernando Brücher
Thomas Leung
Hartwig Adam
+ Searching for MobileNetV3. 2019 Andrew Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
Mingxing Tan
Weijun Wang
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
+ Geo-Aware Networks for Fine-Grained Recognition 2019 Grace Chu
Brian Potetz
Weijun Wang
Andrew Howard
Yang Song
Fernando Brücher
Thomas Leung
Hartwig Adam
+ FoodX-251: A Dataset for Fine-grained Food Classification 2019 Parneet Kaur
Karan Sikka
Weijun Wang
Serge Belongie
Ajay Divakaran
+ Searching for MobileNetV3 2019 Andrew Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
Mingxing Tan
Weijun Wang
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size 2016 Forrest Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
William J. Dally
Kurt Keutzer
4
+ PDF Chat MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
3
+ PDF Chat YFCC100M 2016 Bart Thomée
David A. Shamma
Gerald Friedland
Benjamin Elizalde
Karl Ni
Douglas N. Poland
Damian Borth
Li-Jia Li
3
+ Neural Architecture Search with Reinforcement Learning 2016 Barret Zoph
Quoc V. Le
3
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
3
+ PDF Chat ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices 2018 Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
3
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
3
+ PDF Chat ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation 2019 Xiaoliang Dai
Yangqing Jia
Péter Vajda
Matt Uyttendaele
Niraj K. Jha
Peizhao Zhang
Bichen Wu
Hongxu Yin
Fei Sun
Yanghan Wang
3
+ ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2018 Han Cai
Ligeng Zhu
Song Han
3
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
2
+ PDF Chat Improving Image Classification with Location Context 2015 Kevin Tang
Manohar Paluri
Li Fei-Fei
Rob Fergus
Lubomir Bourdev
2
+ PDF Chat The iNaturalist Species Classification and Detection Dataset 2018 Grant Van Horn
Oisin Mac Aodha
Yang Song
Yin Cui
Chen Sun
Alex Shepard
Hartwig Adam
Pietro Perona
Serge Belongie
2
+ Bird Species Categorization Using Pose Normalized Deep Convolutional Nets 2014 Steve Branson
Grant Van Horn
Serge Belongie
Pietro Perona
2
+ PDF Chat Squeeze-and-Excitation Networks 2018 Jie Hu
Li Shen
Gang Sun
2
+ PDF Chat Learning Deep Representations of Fine-Grained Visual Descriptions 2016 Scott Reed
Zeynep Akata
Honglak Lee
Bernt Schiele
2
+ PDF Chat MoGA: Searching Beyond Mobilenetv3 2020 Xiangxiang Chu
Bo Zhang
Ruijun Xu
2
+ PDF Chat Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS 2020 Gabriel Bender
Hanxiao Liu
Bo Chen
Grace Chu
Shuyang Cheng
Pieter-Jan Kindermans
Quoc V. Le
2
+ PDF Chat MnasNet: Platform-Aware Neural Architecture Search for Mobile 2019 Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew Howard
Quoc V. Le
2
+ PDF Chat Learning Transferable Architectures for Scalable Image Recognition 2018 Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
2
+ 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
2
+ Once-for-All: Train One Network and Specialize it for Efficient Deployment 2019 Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
2
+ HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens 2020 Zhaohui Yang
Yunhe Wang
Xinghao Chen
Jianyuan Guo
Wei Zhang
Chao Xu
Chunjing Xu
Dacheng Tao
Chang Xu
2
+ Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2016 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
2
+ PDF Chat SqueezeNext: Hardware-Aware Neural Network Design 2018 Amir Gholami
Kiseok Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter Jin
Sicheng Zhao
Kurt Keutzer
2
+ PDF Chat NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications 2018 Tien-Ju Yang
Andrew Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
2
+ Accelerator-aware Neural Network Design using AutoML 2020 Suyog Gupta
Berkin Akin
2
+ Quantized Convolutional Neural Networks for Mobile Devices 2015 Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
2
+ Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks 2018 Yu‐Hsin Chen
Joel Emer
Vivienne Sze
2
+ Network Slimming by Slimmable Networks: Towards One-Shot Architecture Search for Channel Numbers 2019 Jiahui Yu
Thomas S. Huang
2
+ The Devil is in the Tails: Fine-grained Classification in the Wild 2017 Grant Van Horn
Pietro Perona
2
+ EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019 Mingxing Tan
Quoc V. Le
2
+ PDF Chat Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference 2018 Benoit Jacob
Skirmantas Kligys
Bo Chen
Menglong Zhu
Matthew F. Tang
Andrew Howard
Hartwig Adam
Dmitry Kalenichenko
2
+ PDF Chat Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning 2018 Yin Cui
Yang Song
Chen Sun
Andrew Howard
Serge Belongie
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Pyramid Scene Parsing Network 2017 Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
1
+ PDF Chat Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors 2017 Jonathan Huang
Vivek Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara
Alireza Fathi
Ian Fischer
Zbigniew Wojna
Yang Song
Sergio Guadarrama
1
+ Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition 2014 Vadim Lebedev
Yaroslav Ganin
Maksim Rakhuba
Ivan Oseledets
Victor Lempitsky
1
+ Designing Neural Network Architectures using Reinforcement Learning 2016 Bowen Baker
Otkrist Gupta
Nikhil Naik
Ramesh Raskar
1
+ Neural Architecture Search with Reinforcement Learning 2016 Barret Zoph
Quoc V. Le
1
+ PDF Chat Webly Supervised Learning of Convolutional Networks 2015 Xinlei Chen
Abhinav Gupta
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ Factorized Convolutional Neural Networks 2016 Min Wang
Baoyuan Liu
Hassan Foroosh
1
+ DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients 2016 Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
1
+ Quantizing deep convolutional networks for efficient inference: A whitepaper 2018 Raghuraman Krishnamoorthi
1
+ Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units 2016 Dan Hendrycks
Kevin Gimpel
1
+ Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding 2015 Song Han
Huizi Mao
William J. Dally
1
+ Flattened Convolutional Neural Networks for Feedforward Acceleration 2014 Jonghoon Jin
Aysegul Dundar
Eugenio Culurciello
1
+ NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications 2018 Tien-Ju Yang
Andrew Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
1
+ MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
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