Shiqing Fan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Upcycling Large Language Models into Mixture of Experts	2024	Ethan He Abhinav Khattar Ryan Prenger Vijay Anand Korthikanti Zijie Yan Tong Liu Shiqing Fan Ashwath Aithal Mohammad Shoeybi Bryan Catanzaro
+ PDF Chat	Trace-Enabled Timing Model Synthesis for ROS2-based Autonomous Applications	2024	Hazem Abaza Debayan Roy Shiqing Fan Selma Saidi Antonios Motakis
+	Trace-enabled Timing Model Synthesis for ROS2-based Autonomous Applications	2023	Hazem Abaza Debayan Roy Shiqing Fan Selma Saidi Antonios Motakis
+ PDF Chat	Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion	2022	Xiaodong Yi Shiwei Zhang Lansong Diao Chuan Wu Zhen Zheng Shiqing Fan Siyu Wang Jun Yang Wei Lin
+ PDF Chat	Efficient Pipeline Planning for Expedited Distributed DNN Training	2022	Ziyue Luo Xiaodong Yi Guoping Long Shiqing Fan Chuan Wu Jun Yang Wei Lin
+ PDF Chat	Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks	2021	Shiqing Fan Ye Luo
+ PDF Chat	An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks	2021	Shiqing Fan Liying Liu Ye Luo
+	Min-Max-Plus Neural Networks	2021	Ye Luo Shiqing Fan
+	Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks	2021	Shiqing Fan Ye Luo
+	An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks	2021	Shiqing Fan Liying Liu Ye Luo
+	DAPPLE: A Pipelined Data Parallel Approach for Training Large Models	2020	Shiqing Fan Yi Rong Meng Chen Zongyan Cao Siyu Wang Zhen Zheng Chuan Wu Guoping Long Jun Yang Lixue Xia
+	Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads	2020	Siyu Wang Yi Rong Shiqing Fan Zhen Zheng Lansong Diao Guoping Long Jun Yang Xiaoyong Liu Wei Lin

Common Coauthors

Coauthor	Papers Together
Ye Luo	5
Jun Yang	4
Zhen Zheng	3
Guoping Long	3
Wei Lin	3
Chuan Wu	3
Lansong Diao	3
Yi Rong	2
Debayan Roy	2
Antonios Motakis	2
Hazem Abaza	2
Xiaodong Yi	2
Selma Saidi	2
Xiaoyong Liu	2
Liying Liu	2
Wei Lin	1
Meng Chen	1
Siyu Wang	1
Zongyan Cao	1
Shiwei Zhang	1
Lixue Xia	1
Ryan Prenger	1
Abhinav Khattar	1
Ziyue Luo	1
Bryan Catanzaro	1
Ethan He	1
Mohammad Shoeybi	1
Ashwath Aithal	1
Vijay Anand Korthikanti	1
Zijie Yan	1
Siyu Wang	1
Siyu Wang	1
Tong Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+	GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism	2018	Yanping Huang Youlong Cheng Ankur Bapna Orhan Fırat Mia Xu Chen Dehao Chen HyoukJoong Lee Jiquan Ngiam Quoc V. Le Yonghui Wu	4
+	Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism	2019	Mohammad Shoeybi Mostofa Patwary Raul Puri Patrick LeGresley Jared Casper Bryan Catanzaro	3
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	3
+ PDF Chat	Deep Generative Filter for Motion Deblurring	2017	Sainandan Ramakrishnan Shubham Pachori Aalok Gangopadhyay Shanmuganathan Raman	2
+	Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform	2018	Chi‐Chung Chen Chia-Lin Yang Hsiang-Yun Cheng	2
+	PipeDream: Fast and Efficient Pipeline Parallel DNN Training.	2018	Aaron Harlap Deepak Narayanan Amar Phanishayee Vivek Seshadri Nikhil R. Devanur Gregory R. Ganger Phillip B. Gibbons	2
+	Horovod: fast and easy distributed deep learning in TensorFlow	2018	A. Sergeev Mike Del Balso	2
+	DAPPLE: A Pipelined Data Parallel Approach for Training Large Models	2020	Shiqing Fan Yi Rong Meng Chen Zongyan Cao Siyu Wang Zhen Zheng Chuan Wu Guoping Long Jun Yang Lixue Xia	2
+ PDF Chat	From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur	2017	Dong Gong Jie Yang Lingqiao Liu Yanning Zhang Ian Reid Chunhua Shen Anton van den Hengel Qinfeng Shi	2
+ PDF Chat	Template adaptation for face verification and identification	2018	Nate Crosswhite Jeffrey Byrne Chris Stauffer Omkar Parkhi Qiong Cao Andrew Zisserman	2
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+	Beyond Data and Model Parallelism for Deep Neural Networks	2018	Zhihao Jia Matei Zaharia Alex Aiken	2
+ PDF Chat	Semantic Image Inpainting with Deep Generative Models	2017	Raymond A. Yeh Chen Chen Teck Yian Lim Alexander G. Schwing Mark Hasegawa–Johnson N. Minh	2
+ PDF Chat	Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training	2019	Saptadeep Pal Eiman Ebrahimi Arslan Zulfiqar Yaosheng Fu Victor Zhang Szymon Migacz David Nellans Puneet Gupta	2
+ PDF Chat	DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks	2018	Orest Kupyn Volodymyr Budzan Mykola Mykhailych Dmytro Mishkin Jiřı́ Matas	2
+ PDF Chat	Cascade R-CNN: Delving Into High Quality Object Detection	2018	Zhaowei Cai Nuno Vasconcelos	2
+	PipeMare: Asynchronous Pipeline Parallel DNN Training	2019	Bowen Yang Jian Zhang Jonathan Li Christopher Ré Christopher R. Aberger Christopher De	2
+ PDF Chat	AdderNet: Do We Really Need Multiplications in Deep Learning?	2020	Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu	2
+ PDF Chat	Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring	2017	Seungjun Nah Tae Hyun Kim Kyoung Mu Lee	2
+ PDF Chat	Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks	2016	Kaipeng Zhang Zhanpeng Zhang Zhifeng Li Yu Qiao	2
+ PDF Chat	Face aging with conditional generative adversarial networks	2017	Grigory Antipov Moez Baccouche Jean‐Luc Dugelay	2
+	GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding	2020	Dmitry Lepikhin HyoukJoong Lee Yuanzhong Xu Dehao Chen Orhan Fırat Yanping Huang Maxim Krikun Noam Shazeer Zhifeng Chen	2
+	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	2015	Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+	Device Placement Optimization with Reinforcement Learning	2017	Azalia Mirhoseini Hieu Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio Jeff Dean	2
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	2
+	Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning	2018	Guotai Wang Wenqi Li María A. Zuluaga Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin	2
+	One weird trick for parallelizing convolutional neural networks	2014	Alex Krizhevsky	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	2
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+ PDF Chat	FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors	2018	Yu Chen Ying Tai Xiaoming Liu Chunhua Shen Jian Yang	2
+	Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning	2018	Scott Cyphers Arjun K. Bansal Anahita Bhiwandiwalla Jayaram Bobba Matthew Brookhart Avijit Chakraborty Will Constable Christian Convey Leona Cook Omar Kanawi	1
+	Prioritized Experience Replay	2015	Tom Schaul John Quan Ioannis Antonoglou David Silver	1
+	Noisy Networks for Exploration	2017	Meire Fortunato Mohammad Gheshlaghi Azar Bilal Piot Jacob Menick Ian Osband Alex Graves Vlad Mnih Rémi Munos Demis Hassabis Olivier Pietquin	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+ PDF Chat	Block partitions of sequences	2014	Imre Bárány Victor S. Grinberg	1
+	Device Placement Optimization with Reinforcement Learning	2017	Azalia Mirhoseini Hieu Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio Jeff Dean	1
+ PDF Chat	Log-Sum-Exp Neural Networks and Posynomial Models for Convex and Log-Log-Convex Data	2019	Giuseppe C. Calafiore Stéphane Gaubert Corrado Possieri	1
+	Priority-based Parameter Propagation for Distributed DNN Training	2019	Anand Jayarajan Jinliang Wei Garth A. Gibson Alexandra Fedorova Gennady Pekhimenko	1
+	Large-Batch Training for LSTM and Beyond	2019	Yang You Jonathan Hseu Chris Ying James Demmel Kurt Keutzer Cho‐Jui Hsieh	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Learning a convolutional neural network for non-uniform motion blur removal	2015	Jian Sun Wenfei Cao Zongben Xu Jean Ponce	1
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Graph Neural Networks for Social Recommendation	2019	Wenqi Fan Yao Ma Qing Li Yuan He Eric Zhao Jiliang Tang Dawei Yin	1
+	FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs	2018	Guoping Long Jun Yang Kai Zhu Wei Lin	1
+	A simple yet effective baseline for non-attributed graph classification	2018	Chen Cai Yusu Wang	1