Sicong Liu(刘思聪)
Sicong Liu(刘思聪)
Verified email at nwpu.edu.cn
Title
Cited by
Cited by
Year
On-demand deep model compression for mobile devices: A usage-driven model selection framework
S Liu, Y Lin, Z Zhou, K Nan, H Liu, J Du
Proceedings of the 16th Annual International Conference on Mobile Systems …, 2018
702018
Ubiear: Bringing location-independent sound awareness to the hard-of-hearing people with smartphones
L Sicong, Z Zimu, D Junzhao, S Longfei, J Han, X Wang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
222017
Deep model compression for mobile platforms: A survey
K Nan, S Liu, J Du, H Liu
Tsinghua Science and Technology 24 (6), 677-693, 2019
122019
Poster: Mobiear-building an environment-independent acoustic sensing platform for the deaf using deep learning
S Liu, J Du
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
92016
Energy-efficient algorithm to construct the information potential field in WSNs
S Liu, J Du, H Liu, R Li, X Yang, K Sha
IEEE sensors journal 17 (12), 3822-3831, 2017
82017
Air pollution source estimation profiling via mobile sensor networks
X Yang, J Du, S Liu, R Li, H Liu
2016 International Conference on Computer, Information and Telecommunication …, 2016
62016
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy
S Liu, J Du, A Shrivastava, L Zhong
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
52019
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network
S Liu, A Shrivastava, J Du, L Zhong
arXiv preprint arXiv:1901.08730, 2019
42019
SmartCare: Energy-efficient long-term physical activity tracking using smartphones
H Liu, R Li, S Liu, S Tian, J Du
Tsinghua Science and Technology 20 (4), 348-363, 2015
42015
On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework.(2018)
S Liu, Y Lin, Z Zhou, K Nan, H Liu, J Du
32018
CrowdBlueNet: maximizing crowd data collection using bluetooth ad hoc networks
S Liu, J Du, X Yang, R Li, H Liu, K Sha
International Conference on Wireless Algorithms, Systems, and Applications …, 2016
22016
Lightweight construction of the information potential field in wireless sensor networks
J Du, S Liu, C Xu, K Wang, H Liu, K Sha
2014 23rd International Conference on Computer Communication and Networks …, 2014
22014
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
S Liu, J Du, K Nan, A Wang, Y Lin
IEEE Transactions on Mobile Computing, 2020
12020
Understanding Sensor Data Using Deep Learning Methods on Resource-Constrained Edge Devices
J Du, S Liu, Y Wei, H Liu, X Wang, K Nan
China Conference on Wireless Sensor Networks, 139-152, 2017
12017
CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd Intelligence
Qiuyun Zhang, Bin Guo, Sicong Liu, Zhiwen Yu
The Deep Learning for IoT Workshop at the 2020 IEEE International Conference …, 2020
2020
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Articles 1–15