Jin Xiao

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All published works

Action	Title	Year	Authors
+ PDF Chat	An expert system for redesigning software for cloud applications	2023	Rahul Yedida Rahul Krishna Anup K. Kalia Tim Menzies Jin Xiao Maja Vuković
+ PDF Chat	Lessons learned from hyper-parameter tuning for microservice candidate identification	2021	Rahul Yedida Rahul Krishna Anup K. Kalia Tim Menzies Jin Xiao Maja Vuković
+	Partitioning Cloud-based Microservices (via Deep Learning)	2021	Rahul Yedida Rahul Krishna Anup K. Kalia Tim Menzies Jin Xiao Maja Vuković
+ PDF Chat	Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices	2021	Anup K. Kalia Jin Xiao Rahul Krishna Saurabh Sinha Maja Vuković Debasish Banerjee
+	Local ultraconvergence of high order finite element method by interpolation postprocessing technique for elliptic problems with constant coefficients	2019	Wen‐ming He Xiong Liu Jin Xiao
+ PDF Chat	Knowledge Distillation via Route Constrained Optimization	2019	Jin Xiao Baoyun Peng Yichao Wu Yu Liu Jiaheng Liu Ding Liang Junjie Yan Xiaolin Hu
+ PDF Chat	Correlation Congruence for Knowledge Distillation	2019	Baoyun Peng Jin Xiao Dongsheng Li Shunfeng Zhou Yichao Wu Jiaheng Liu Zhaoning Zhang Yu Liu
+ PDF Chat	Low frequency of a deforming capillary vibration, part 1: Mathematical model	2019	Jin Xiao Meina Liu Feng Pan Yaping Li Jie Fan
+	Alternating proximal algorithm for L1/TVp(0 < p < 1) image recovery	2019	Jin Xiao Yuan Xiao
+ PDF Chat	Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining	2019	Youbao Tang Ke Yan Yuxing Tang Jiamin Liu Jin Xiao Ronald M. Summers
+	Correlation Congruence for Knowledge Distillation	2019	Baoyun Peng Jin Xiao Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang
+	Knowledge Distillation via Route Constrained Optimization	2019	Jin Xiao Baoyun Peng Yichao Wu Yu Liu Jiaheng Liu Ding Liang Junjie Yan Xiaolin Hu
+	On the Convergence of Nonconvex Minimization Methods for Image Recovery	2015	Jin Xiao Michael K. Ng Yufei Yang

Common Coauthors

Coauthor	Papers Together
Maja Vuković	4
Anup K. Kalia	4
Baoyun Peng	4
Rahul Krishna	4
Yichao Wu	4
Jiaheng Liu	4
Rahul Yedida	3
Tim Menzies	3
Xiaolin Hu	2
Yu Liu	2
Zhaoning Zhang	2
Junjie Yan	2
Shunfeng Zhou	2
Dongsheng Li	2
Ding Liang	2
Ronald M. Summers	1
Youbao Tang	1
Debasish Banerjee	1
Wen‐ming He	1
Jie Fan	1
Yu Liu	1
Yu Liu	1
Jiamin Liu	1
Yaping Li	1
Feng Pan	1
Xiong Liu	1
Michael K. Ng	1
Yuan Xiao	1
Saurabh Sinha	1
Ke Yan	1
Meina Liu	1
Yuxing Tang	1
Yufei Yang	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
+ PDF Chat	Quantized Convolutional Neural Networks for Mobile Devices	2016	Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng	4
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	4
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	4
+	Visualizing the Loss Landscape of Neural Nets	2017	Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein	4
+	Pruning Convolutional Neural Networks for Resource Efficient Inference	2016	Pavlo Molchanov Stephen Tyree Tero Karras Timo Aila Jan Kautz	4
+	Do Deep Convolutional Nets Really Need to be Deep and Convolutional	2016	Gregor Urban Krzysztof J. Geras Samira Ebrahimi Kahou Özlem Aslan Shengjie Wang Rich Caruana Abdelrahman Mohamed Matthai Philipose Matt Richardson	4
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	4
+	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	4
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	4
+ PDF Chat	Graph Neural Network to Dilute Outliers for Refactoring Monolith Application	2021	Utkarsh Desai Sambaran Bandyopadhyay Srikanth Tamilselvam	4
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	4
+	On the Value of Oversampling for Deep Learning in Software Defect Prediction	2021	Rahul Yedida Tim Menzies	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Is one hyperparameter optimizer enough?	2018	Huy Tu Vivek Nair	2
+ PDF Chat	Knowledge Distillation with Adversarial Samples Supporting Decision Boundary	2019	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi	2
+ PDF Chat	code2vec: learning distributed representations of code	2019	Uri Alon Meital Zilberstein Omer Levy Eran Yahav	2
+ PDF Chat	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	2016	Ira Kemelmacher-Shlizerman Steven M. Seitz Daniel Miller Evan Brossard	2
+ PDF Chat	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	2018	Longhui Wei Shiliang Zhang Wen Gao Qi Tian	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices	2021	Anup K. Kalia Jin Xiao Rahul Krishna Saurabh Sinha Maja Vuković Debasish Banerjee	2
+	The Devil of Face Recognition is in the Noise	2018	Fei Wang Liren Chen Cheng Li Shiyao Huang Yanjie Chen Chen Qian Chen Change Loy	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks	2017	Zheng Xu Yen-Chang Hsu Jiawei Huang	2
+	Speeding up Convolutional Neural Networks with Low Rank Expansions	2014	Max Jaderberg Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	The Devil of Face Recognition Is in the Noise	2018	Fei Wang Liren Chen Cheng Li Shiyao Huang Yanjie Chen Chen Qian Chen Change Loy	2
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	2
+	Gradient Descent Provably Optimizes Over-parameterized Neural Networks	2018	Simon S. Du Xiyu Zhai Barnabás Póczos Aarti Singh	2
+ PDF Chat	On the convergence of the proximal algorithm for nonsmooth functions involving analytic features	2007	Hédy Attouch Jérôme Bolte	2
+	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	2016	Yandong Guo Lei Zhang Yuxiao Hu Xiaodong He Jianfeng Gao	2
+	Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer	2016	Sergey Zagoruyko Nikos Komodakis	2
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	2
+	Deep Model Compression: Distilling Knowledge from Noisy Teachers	2016	Bharat Bhusan Sau Vineeth N Balasubramanian	2
+ PDF Chat	Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers	2002	Mila Nikolova	2
+	On $\ell_1$ Data Fitting and Concave Regularization for Image Recovery	2013	Mila Nikolova Michael K. Ng Chi‐Pan Tam	2
+ PDF Chat	Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality	2010	Hédy Attouch Jérôme Bolte Patrick Redont Antoine Soubeyran	2
+ PDF Chat	Entropy-SGD: biasing gradient descent into wide valleys	2019	Pratik Chaudhari Anna Choromanska Stefano Soatto Yann LeCun Carlo Baldassi Christian Borgs Jennifer Chayes Levent Sagun Riccardo Zecchina	2
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2
+ 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
+	Large scale distributed neural network training through online distillation	2018	Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton	2
+	Improving Knowledge Distillation with Supporting Adversarial Samples	2018	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi	2
+	Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher	2019	Seyed Iman Mirzadeh Mehrdad Farajtabar Ang Li Hassan Ghasemzadeh	2
+	How to “DODGE” Complex Software Analytics	2019	Amritanshu Agrawal Wei Fu Di Chen Xipeng Shen Tim Menzies	2
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	2
+	AMC: AutoML for Model Compression and Acceleration on Mobile Devices	2018	Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	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	2
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	2
+	Mathematical Problems in Image Processing	2006	Gilles Aubert Pierre Kornprobst	2