Jie Lin

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All published works

Action	Title	Year	Authors
+ PDF Chat	Distributed Symmetric Key Establishment: a Scalable Quantum-Safe Key Distribution Protocol	2024	Jie Lin Hoi‐Kwong Lo Jacob Johannsson Mattia Montagna Manfred von Willich
+ PDF Chat	Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning	2024	Manas Gupta Efe Camci Vishandi Rudy Keneta Abhishek Vaidyanathan Ritwik Kanodia Ashish James Chuan-Sheng Foo Min Wu Jie Lin
+ PDF Chat	From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks	2024	Xue Geng Zhe Wang Chunyun Chen Qing Xu Kaixin Xu Chao Jin Manas Gupta Xulei Yang Zhenghua Chen Mohamed M. Sabry Aly
+ PDF Chat	On Representation Knowledge Distillation for Graph Neural Networks	2022	Chaitanya K. Joshi Fayao Liu Xun Xu Jie Lin Chuan-Sheng Foo
+ PDF Chat	Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis	2022	Fayao Liu Guosheng Lin Chuan-Sheng Foo Chaitanya K. Joshi Jie Lin
+ PDF Chat	PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery	2021	Tianyi Zhang Jie Lin Peng Hu Bin Zhao Mohamed M. Sabry Aly
+ PDF Chat	OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization	2021	Peng Hu Xi Peng Hongyuan Zhu Mohamed M. Sabry Aly Jie Lin
+	FFConv: Fast Factorized Neural Network Inference on Encrypted Data.	2021	Yuxiao Lu Jie Lin Chao Jin Zhe Wang Khin Mi Mi Aung Xiaoli Li
+	PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery	2021	Tianyi Zhang Jie Lin Peng Hu Bin Zhao Mohamed M. Sabry Aly
+	Few-Shot Segmentation with Global and Local Contrastive Learning	2021	Weide Liu Zhonghua Wu Henghui Ding Fayao Liu Jie Lin Guosheng Lin
+ PDF Chat	A*3D Dataset: Towards Autonomous Driving in Challenging Environments	2020	Quang-Hieu Pham Pierre Sevestre Ramanpreet Singh Pahwa Huijing Zhan Chun Ho Pang Yuda Chen Armin Mustafa Vijay Chandrasekhar Jie Lin
+	Learning to Prune Deep Neural Networks via Reinforcement Learning	2020	Manas Gupta Siddharth Aravindan Aleksandra Kalisz Vijay Chandrasekhar Jie Lin
+ PDF Chat	Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks	2019	Li Wang Ting Liu Bing Wang Jie Lin Xulei Yang Gang Wang
+ PDF Chat	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks	2019	Lile Cai Anne-Maelle Barneche Arthur Herbout Chuan-Sheng Foo Jie Lin Vijay Chandrasekhar Mohamed M. Sabry Aly
+	Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks	2019	Xue Geng Jie Fu Bin Zhao Jie Lin Mohamed M. Sabry Aly Christopher Pal Vijay Chandrasekhar
+	CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images	2019	Chao Jin Ahmad Al Badawi Balagopal Unnikrishnan Jie Lin Chan Fook Mun James M. Brown J. Peter Campbell Michael F. Chiang Jayashree Kalpathy‐Cramer Vijay Chandrasekhar
+	A*3D Dataset: Towards Autonomous Driving in Challenging Environments	2019	Quang-Hieu Pham Pierre Sevestre Ramanpreet Singh Pahwa Huijing Zhan Chun Ho Pang Yuda Chen Armin Mustafa Vijay Chandrasekhar Jie Lin
+ PDF Chat	Compact Descriptors for Video Analysis: The Emerging MPEG Standard	2018	Ling‐Yu Duan Yihang Lou Yan Bai Tiejun Huang Wen Gao Vijay Chandrasekhar Jie Lin Shiqi Wang Alex C. Kot
+	Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs	2018	Ahmad Al Badawi Chao Jin Jie Lin Chan Fook Mun Jun Jie Sim Benjamin Hong Meng Tan Nan Xiao Khin Mi Mi Aung Vijay Chandrasekhar
+	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks	2018	Lile Cai Anne-Maelle Barneche Arthur Herbout Chuan-Sheng Foo Jie Lin Vijay Chandrasekhar Mohamed M. Sabry
+ PDF Chat	Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval	2017	Olivier Morère Jie Lin Antoine Veillard Ling‐Yu Duan Vijay Chandrasekhar Tomaso Poggio
+ PDF Chat	Compression of Deep Neural Networks for Image Instance Retrieval	2017	Vijay Chandrasekhar Jie Lin Qianli Liao Olivier Morère Antoine Veillard Ling‐Yu Duan Tomaso Poggio
+	Compression of Deep Neural Networks for Image Instance Retrieval	2017	Vijay Chandrasekhar Jie Lin Qianli Liao Olivier Morère Antoine Veillard Ling‐Yu Duan Tomaso Poggio
+	Compact Descriptors for Video Analysis: the Emerging MPEG Standard	2017	Ling‐Yu Duan Vijay Chandrasekhar Shiqi Wang Yihang Lou Jie Lin Yan Bai Tiejun Huang Alex C. Kot Wen Gao
+	Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text	2017	Zhe Wang Kingsley Kuan Mathieu Ravaut Gaurav Manek Sibo Song Yuan Fang Seokhwan Kim Nancy F. Chen Luis Fernando D'haro Enríquez Luu Anh Tuan
+	Pruning Convolutional Neural Networks for Image Instance Retrieval	2017	Gaurav Manek Jie Lin Vijay Chandrasekhar Ling‐Yu Duan Sateesh Babu Giduthuri Xiaoli Li Tomaso Poggio
+	End-to-End Video Classification with Knowledge Graphs	2017	Yuan Fang Zhe Wang Jie Lin Luis Fernando D’Haro Kim Jung Jae Zeng Zeng Vijay Chandrasekhar
+ PDF Chat	A practical guide to CNNs and Fisher Vectors for image instance retrieval	2016	Vijay Chandrasekhar Jie Lin Olivier Morère Hanlin Goh Antoine Veillard
+ PDF Chat	Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing	2016	Jie Lin Olivier Morère Julie Petta Vijay Chandrasekhar Antoine Veillard
+	Group Invariant Deep Representations for Image Instance Retrieval	2016	Olivier Morère Antoine Veillard Jie Lin Julie Petta Vijay Chandrasekhar Tomaso Poggio
+	A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval	2015	Vijay Chandrasekhar Jie Lin Olivier Morère Hanlin Goh Antoine Veillard
+	Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing	2015	Jie Lin Olivier Morère Julie Petta Vijay Chandrasekhar Antoine Veillard

Common Coauthors

Coauthor	Papers Together
Vijay Chandrasekhar	21
Antoine Veillard	8
Olivier Morère	8
Mohamed M. Sabry Aly	6
Ling‐Yu Duan	6
Tomaso Poggio	5
Chuan-Sheng Foo	5
Chao Jin	4
Fayao Liu	3
Bin Zhao	3
Manas Gupta	3
Khin Mi Mi Aung	3
Zhe Wang	3
Peng Hu	3
Julie Petta	3
Yuan Fang	2
Guosheng Lin	2
Quang-Hieu Pham	2
Chun Ho Pang	2
Tiejun Huang	2
Lile Cai	2
Hanlin Goh	2
Shiqi Wang	2
Qianli Liao	2
Xiaoli Li	2
Xulei Yang	2
Huijing Zhan	2
Ahmad Al Badawi	2
Ramanpreet Singh Pahwa	2
Min Wu	2
Yan Bai	2
Alex C. Kot	2
Armin Mustafa	2
Chan Fook Mun	2
Chaitanya K. Joshi	2
Hongyuan Zhu	2
Arthur Herbout	2
Pierre Sevestre	2
Yuda Chen	2
Yihang Lou	2
Anne-Maelle Barneche	2
Gaurav Manek	2
Weide Liu	1
J. Peter Campbell	1
Nancy F. Chen	1
Gang Wang	1
James M. Brown	1
Sateesh Babu Giduthuri	1
Pavitra Krishnaswamy	1
Chunyun Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	11
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	7
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	5
+	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	5
+ PDF Chat	CNN Features Off-the-Shelf: An Astounding Baseline for Recognition	2014	Ali Sharif Razavian Hossein Azizpour Josephine Sullivan Stefan Carlsson	4
+	Particular object retrieval with integral max-pooling of CNN activations	2015	Giorgos Tolias Ronan Sicre Hervé Jeǵou	4
+ PDF Chat	DeepPose: Human Pose Estimation via Deep Neural Networks	2014	Alexander Toshev Christian Szegedy	4
+	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
+	Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference	2018	Edward Chou Josh Beal Daniel Lévy Serena Yeung Albert Haque Li Fei-Fei	3
+ PDF Chat	From generic to specific deep representations for visual recognition	2015	Hossein Azizpour Ali Sharif Razavian Josephine Sullivan Atsuto Maki Stefan Carlsson	3
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	3
+ PDF Chat	Multi-scale Orderless Pooling of Deep Convolutional Activation Features	2014	Yunchao Gong Liwei Wang Ruiqi Guo Svetlana Lazebnik	3
+	Group Invariant Deep Representations for Image Instance Retrieval	2016	Olivier Morère Antoine Veillard Jie Lin Julie Petta Vijay Chandrasekhar Tomaso Poggio	3
+	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	2015	Yong‐Deok Kim Eunhyeok Park Sungjoo Yoo Tae‐Lim Choi Yang Lu Dongjun Shin	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	2
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	2
+	A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval	2015	Vijay Chandrasekhar Jie Lin Olivier Morère Hanlin Goh Antoine Veillard	2
+	Visualizing and Understanding Convolutional Networks	2013	Matthew D. Zeiler Rob Fergus	2
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	2
+	Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval	2016	Olivier Morère Jie Lin Antoine Veillard Vijay Chandrasekhar Tomaso Poggio	2
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	2
+	Compressing Deep Convolutional Networks using Vector Quantization	2014	Yunchao Gong Liu Liu Ming–Hsuan Yang Lubomir Bourdev	2
+	Deep Image: Scaling up Image Recognition	2015	Wu Ren Shengen Yan Yi Shan Qingqing Dang Gang Sun	2
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	2
+	BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.	2018	Fisher Yu Wenqi Xian Yingying Chen Fangchen Liu Mike Liao Vashisht Madhavan Trevor Darrell	2
+	CNN Features off-the-shelf: an Astounding Baseline for Recognition	2014	Ali Sharif Razavian Hossein Azizpour Josephine Sullivan Stefan Carlsson	2
+ PDF Chat	A practical guide to CNNs and Fisher Vectors for image instance retrieval	2016	Vijay Chandrasekhar Jie Lin Olivier Morère Hanlin Goh Antoine Veillard	2
+	The ApolloScape Dataset for Autonomous Driving	2018	Xinyu Huang Xinjing Cheng Qichuan Geng Binbin Cao Dingfu Zhou Peng Wang Yuanqing Lin Ruigang Yang	2
+	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks	2018	Jonathan Frankle Michael Carbin	2
+ PDF Chat	PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud	2019	Shaoshuai Shi Xiaogang Wang Hongsheng Li	2
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	2
+	ON DATA BANKS AND PRIVACY HOMOMORPHISMS	1978	Ronald L. Rivest Michael L. Dertouzos	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	2
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	2
+ PDF Chat	A discriminative CNN video representation for event detection	2015	Zhongwen Xu Yi Yang Alexander G. Hauptmann	2
+ PDF Chat	Multi-view 3D Object Detection Network for Autonomous Driving	2017	Xiaozhi Chen Huimin Ma Ji Wan Bo Li Tian Xia	2
+	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	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+ PDF Chat	Simultaneous feature learning and hash coding with deep neural networks	2015	Hanjiang Lai Yan Pan Ye Liu Shuicheng Yan	2
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	YouTube-8M: A Large-Scale Video Classification Benchmark	2016	Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Apostol Natsev George Toderici Balakrishnan Varadarajan Sudheendra Vijayanarasimhan	2
+ PDF Chat	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
+	Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex	2016	Qianli Liao Tomaso Poggio	2
+	The State of Sparsity in Deep Neural Networks	2019	Trevor Gale Erich Elsen Sara Hooker	2
+ 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	2
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	2
+	CryptoDL: Deep Neural Networks over Encrypted Data	2017	Ehsan Hesamifard Hassan Takabi Mehdi Ghasemi	2
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	2