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1809.03559
Cited By
Deep Learning Towards Mobile Applications
10 September 2018
Ji Wang
Bokai Cao
Philip S. Yu
Lichao Sun
Weidong Bao
Xiaomin Zhu
HAI
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Papers citing
"Deep Learning Towards Mobile Applications"
28 / 28 papers shown
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models
Yujin Huang
Zhi Zhang
Qingchuan Zhao
Lizhen Qu
Chunyang Chen
205
2
0
31 Mar 2025
"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications
International Conference on Human Factors in Computing Systems (CHI), 2025
Jack West
Bengisu Cagiltay
Shirley Zhang
Jingjie Li
Kassem Fawaz
Suman Banerjee
257
1
0
05 Mar 2025
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Luchang Li
Sheng Qian
Jie Lu
Lunxi Yuan
Rui Wang
Qin Xie
293
19
0
29 Mar 2024
High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention
A. Kelm
Niels Hannemann
Bruno Heberle
Lucas Schmidt
Tim Rolff
Christian Wilms
Ehsan Yaghoubi
Simone Frintrop
198
0
0
09 Aug 2023
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps
Ye Sang
Yujin Huang
Shuo Huang
Helei Cui
AAML
SILM
185
5
0
06 May 2023
On the Impact of Voice Anonymization on Speech Diagnostic Applications: a Case Study on COVID-19 Detection
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yi Zhu
Mohamed Imoussaïne-Aïkous
Carolyn Côté-Lussier
Tiago H. Falk
160
6
0
05 Apr 2023
Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms
G. D. Samaraweera
Hung Nguyen
Hadi Zanddizari
Behnam Zeinali
Jerome Chang
139
0
0
01 Feb 2023
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
The Web Conference (WWW), 2022
Zheqi Lv
Wenqiao Zhang
Shengyu Zhang
Kun Kuang
Feng Wang
...
Ruihao Zhang
Tao Shen
Hongxia Yang
Bengchin Ooi
Leilei Gan
336
64
0
12 Sep 2022
Smart App Attack: Hacking Deep Learning Models in Android Apps
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Yujin Huang
Chunyang Chen
FedML
AAML
198
23
0
23 Apr 2022
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
IEEE Access (IEEE Access), 2021
Emmanouil Krasanakis
Symeon Papadopoulos
I. Kompatsiaris
GNN
195
8
0
29 Nov 2021
Progressive Transmission and Inference of Deep Learning Models
Youngsoo Lee
Sangdoo Yun
Yeonghun Kim
Sunghee Choi
128
2
0
03 Oct 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
131
0
0
28 Jul 2021
LightFuse: Lightweight CNN based Dual-exposure Fusion
Ziyi Liu
Jie Yang
Svetlana Yanushkevich
O. Yadid-Pecht
233
3
0
05 Jul 2021
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
International Conference on Software Engineering (ICSE), 2021
Zhenpeng Chen
Huihan Yao
Xin Peng
Yanbin Cao
Yuanqiang Liu
Haoyu Wang
Xuanzhe Liu
216
94
0
13 Jan 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
Yujin Huang
Han Hu
Chunyang Chen
AAML
FedML
261
42
0
12 Jan 2021
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices
Yiwu Yao
Yuchao Li
Chengyu Wang
Tianhang Yu
Houjiang Chen
...
Jun Yang
Yanjie Liang
Jialin Li
Hui Shu
Chengfei Lv
MQ
178
8
0
28 Oct 2020
Deep Neural Mobile Networking
Chaoyun Zhang
208
2
0
23 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Rahul Mishra
Hari Prabhat Gupta
Tanima Dutta
155
103
0
05 Oct 2020
Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things
R. Rahmani
Ramin Firouzi
GNN
120
5
0
18 Sep 2020
Skedulix: Hybrid Cloud Scheduling for Cost-Efficient Execution of Serverless Applications
Anirban Das
A. Leaf
Carlos A. Varela
S. Patterson
233
51
0
05 Jun 2020
Edge Intelligence: Architectures, Challenges, and Applications
Dianlei Xu
Tong Li
Yong Li
Xiang Su
Sasu Tarkoma
Tao Jiang
Jon Crowcroft
Pan Hui
272
30
0
26 Mar 2020
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
International Symposium on Information Processing in Sensor Networks (IPSN), 2020
Yu Zhang
Tao Gu
Xi Zhang
FedML
166
26
0
07 Feb 2020
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
IEEE Access (IEEE Access), 2019
José Á. Morell
Andrés Camero
Enrique Alba
135
10
0
12 Oct 2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
International Conference on Automated Software Engineering (ASE), 2019
Qianyu Guo
Sen Chen
Xiaofei Xie
Lei Ma
Q. Hu
Hongtao Liu
Yang Liu
Jianjun Zhao
Xiaohong Li
164
132
0
15 Sep 2019
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
136
24
0
02 Feb 2019
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification
L. M. Zhang
68
0
0
29 Nov 2018
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms
Qianyu Guo
Xiaofei Xie
Lei Ma
Q. Hu
Ruitao Feng
Li Li
Yang Liu
Jianjun Zhao
Xiaohong Li
149
7
0
13 Nov 2018
Deep Learning in Mobile and Wireless Networking: A Survey
IEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
376
1,433
0
12 Mar 2018
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