Zhifeng Lin

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All published works
Action Title Year Authors
+ Identification of an additive interaction using parameter regularization and model selection in epidemiology 2024 Chanchan Hu
Zhifeng Lin
Zhijian Hu
Shaowei Lin
+ PDF Chat Global and Local Attention-based Inception U-Net for Static IR Drop Estimation 2024 Yilu Chen
Zhijie Cai
Wei Min
Zhifeng Lin
Jianli Chen
+ Bayesian estimation of the measurement of interactions in epidemiological studies 2024 Shaowei Lin
Chanchan Hu
Zhifeng Lin
Zhijian Hu
+ PDF Chat Learning Granularity-Unified Representations for Text-to-Image Person Re-identification 2022 Zhiyin Shao
Xinyu Zhang
Meng Fang
Zhifeng Lin
Jian Wang
Changxing Ding
+ Slack squeeze coded computing for adaptive straggler mitigation 2019 Krishna Giri Narra
Zhifeng Lin
Mehrdad Kiamari
Salman Avestimehr
Murali Annavaram
+ Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. 2019 Krishna Giri Narra
Zhifeng Lin
Ganesh Ananthanarayanan
Salman Avestimehr
Murali Annavaram
+ Distributed Matrix Multiplication Using Speed Adaptive Coding. 2019 Krishna Giri Narra
Zhifeng Lin
Mehrdad Kiamari
Salman Avestimehr
Murali Annavaram
+ Slack Squeeze Coded Computing for Adaptive Straggler Mitigation 2019 Krishna Giri Narra
Zhifeng Lin
Mehrdad Kiamari
Salman Avestimehr
Murali Annavaram
+ Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models 2019 Krishna Giri Narra
Zhifeng Lin
Ganesh Ananthanarayanan
Salman Avestimehr
Murali Annavaram
+ Collage Inference: Using Coded Redundancy for Low Variance Distributed Image Classification 2019 Krishna Giri Narra
Zhifeng Lin
Ganesh Ananthanarayanan
Salman Avestimehr
Murali Annavaram
+ Train Where the Data is: A Case for Bandwidth Efficient Coded Training 2019 Zhifeng Lin
Krishna Giri Narra
Mingchao Yu
Salman Avestimehr
Murali Annavaram
+ Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments 2019 Krishna Giri Narra
Zhifeng Lin
Yongqin Wang
Keshav Balasubramaniam
Murali Annavaram
+ Jupiter: A Networked Computing Architecture 2019 Pradipta Ghosh
Quynh Nguyen
Pranav Sakulkar
Aleksandra Knezevic
Jason A. Tran
Jiatong Wang
Zhifeng Lin
Bhaskar Krishnamachari
Murali Annavaram
Salman Avestimehr
+ GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training 2018 Mingchao Yu
Zhifeng Lin
Krishna Giri Narra
Songze Li
Youjie Li
Nam Sung Kim
Alexander G. Schwing
Murali Annavaram
Salman Avestimehr
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Polynomial codes: an optimal design for high-dimensional coded matrix multiplication 2017 Qian Yu
Mohammad Ali Maddah-Ali
A. Salman Avestimehr
6
+ Speeding up distributed machine learning using codes 2016 Kangwook Lee
Maximilian Lam
Ramtin Pedarsani
Dimitris Papailiopoulos
Kannan Ramchandran
6
+ PDF Chat Efficient task replication for fast response times in parallel computation 2014 Da Wang
Gauri Joshi
Gregory W. Wornell
6
+ PDF Chat When do redundant requests reduce latency ? 2013 Nihar B. Shah
Kangwook Lee
Kannan Ramchandran
5
+ A Fundamental Tradeoff Between Computation and Communication in Distributed Computing 2017 Songze Li
Mohammad Ali Maddah-Ali
Qian Yu
A. Salman Avestimehr
5
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
5
+ A Sequential Approximation Framework for Coded Distributed Optimization 2017 Jingge Zhu
Ye Pu
Vipul Gupta
Claire J. Tomlin
Kannan Ramchandran
4
+ PDF Chat Coded computation over heterogeneous clusters 2017 Amirhossein Reisizadeh
Saurav Prakash
Ramtin Pedarsani
Salman Avestimehr
4
+ PDF Chat OverSketch: Approximate Matrix Multiplication for the Cloud 2018 Vipul Gupta
Shusen Wang
Thomas A. Courtade
Kannan Ramchandran
3
+ PDF Chat A Unified Coding Framework for Distributed Computing with Straggling Servers 2016 Songze Li
Mohammad Ali Maddah-Ali
A. Salman Avestimehr
3
+ A Unified Coding Framework for Distributed Computing with Straggling Servers 2016 Songze Li
Mohammad Ali Maddah-Ali
A. Salman Avestimehr
3
+ Coded TeraSort 2017 Songze Li
Sucha Supittayapornpong
Mohammad Ali Maddah-Ali
A. Salman Avestimehr
3
+ Parity Models: A General Framework for Coding-Based Resilience in ML Inference 2019 Jack Kosaian
K. V. Rashmi
Shivaram Venkataraman
3
+ Coding Method for Parallel Iterative Linear Solver 2017 Yaoqing Yang
Pulkit Grover
Soummya Kar
3
+ Manifolds, Tensors, and Forms 2013 Paul Renteln
3
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
2
+ PDF Chat Estimation of the Relative Excess Risk Due to Interaction and Associated Confidence Bounds 2009 David B. Richardson
Jay S. Kaufman
2
+ R-FCN: Object Detection via Region-based Fully Convolutional Networks 2016 Jifeng Dai
Li Yi
Kaiming He
Jian Sun
2
+ PDF Chat On the Estimation of Additive Interaction by Use of the Four-by-two Table and Beyond 2008 Guangyong Zou
2
+ PDF Chat Estimating interaction on an additive scale between continuous determinants in a logistic regression model 2007 Mirjam J. Knol
Ingeborg van der Tweel
Diederick E. Grobbee
Mattijs E. Numans
Mirjam I. Geerlings
2
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ PDF Chat DSOD: Learning Deeply Supervised Object Detectors from Scratch 2017 Zhiqiang Shen
Zhuang Liu
Jianguo Li
Yu‐Gang Jiang
Yurong Chen
Xiangyang Xue
2
+ CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning 2019 Jinhyun So
BaƟak GĂŒler
Amir Salman Avestimehr
Payman Mohassel
2
+ Estimating the Relative Excess Risk Due to Interaction 2011 Haitao Chu
Lei Nie
Stephen R. Cole
2
+ Confidence Intervals for Measures of Interaction 1996 Susan F. Assmann
David W. Hosmer
Stanley Lemeshow
Kenneth A. Mundt
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ Relative Excess Risk Due to Interaction 2010 Lei Nie
Haitao Chu
Feng Li
Stephen R. Cole
2
+ Coded Computation over Heterogeneous Clusters 2017 Amirhossein Reisizadeh
Saurav Prakash
Ramtin Pedarsani
Amir Salman Avestimehr
2
+ Confidence Intervals for the Interaction Contrast Ratio 2010 Oliver Kuß
Andrea Schmidt‐Pokrzywniak
Andreas Stang
2
+ The Identification of Synergism in the Sufficient-Component-Cause Framework 2007 Tyler J. VanderWeele
James M. Robins
2
+ 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
2
+ Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour 2017 Priya Goyal
Piotr DollĂĄr
Ross Girshick
Pieter Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
2
+ HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent 2011 Feng Niu
Benjamin Recht
Christopher RĂ©
Stephen J. Wright
2
+ PDF Chat <b>MCMCpack</b>: Markov Chain Monte Carlo in<i>R</i> 2011 Andrew D. Martin
Kevin M. Quinn
Jong Hee Park
1
+ The BUGS project: Evolution, critique and future directions 2009 David J. Lunn
David J. Spiegelhalter
Andrew C. Thomas
Nicky Best
1
+ PDF Chat Bayesian statistics in medicine: a 25 year review 2006 Deborah Ashby
1
+ Markov Chain Monte Carlo in Practice 1995 Walter R. Gilks
Sylvia Richardson
David J. Spiegelhalter
1
+ PDF Chat The effect of joint exposures: examining the presence of interaction 2009 Renée de Mutsert
Kitty J. Jager
Carmine Zoccali
Friedo W. Dekker
1
+ Conditional Generative Adversarial Nets 2014 Mehdi Mirza
Simon Osindero
1
+ Regression Shrinkage and Selection via The Lasso: A Retrospective 2011 Robert Tibshirani
1
+ PDF Chat Representation of Relative Variability on a Semi-logarithmic Grid 1946 H. V. MUHSAM
1
+ PDF Chat Assessing Causal Mechanistic Interactions: A Peril Ratio Index of Synergy Based on Multiplicativity 2013 Wen‐Chung Lee
1
+ PDF Chat Complementary Log Regression for Sufficient-Cause Modeling of Epidemiologic Data 2016 Jui‐Hsiang Lin
Wen‐Chung Lee
1
+ An Introduction to the Bootstrap 1994 Bradley Efron
Robert Tibshirani
1
+ PDF Chat Understanding deep image representations by inverting them 2015 Aravindh Mahendran
Andrea Vedaldi
1
+ PDF Chat Generative Adversarial Networks 2022 Ian J. Goodfellow
Jean Pouget-Abadie
Mehdi Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
1
+ When Do Redundant Requests Reduce Latency? 2015 Nihar B. Shah
Kangwook Lee
Kannan Ramchandran
1
+ PDF Chat <i>Stan</i>: A Probabilistic Programming Language 2017 Bob Carpenter
Andrew Gelman
Matthew D. Hoffman
Daniel C. Lee
Ben Goodrich
Michael Betancourt
Marcus A. Brubaker
Jiqiang Guo
Peter Li
Allen Riddell
1
+ PDF Chat Applied Logistic Regression 2013 David W. Hosmer
Stanley Lemeshow
Rodney X. Sturdivant
1