Linqi Song
Linqi Song
Associate Professor, Department of Computer Science, City University of Hong Kong
Verified email at - Homepage
Cited by
Cited by
Minimizing age of information with power constraints: Multi-user opportunistic scheduling in multi-state time-varying channels
H Tang, J Wang, L Song, J Song
IEEE Journal on Selected Areas in Communications 38 (5), 854-868, 2020
Online Learning in Large-scale Contextual Recommender Systems
L Song, C Tekin, M van der Schaar
IEEE Transactions on Services Computing 9 (3), 433-445, 2016
Demand side management in smart grids using a repeated game framework
L Song, Y Xiao, M Van Der Schaar
IEEE Journal on Selected Areas in Communications 32 (7), 1412-1424, 2014
Solving challenging math word problems using gpt-4 code interpreter with code-based self-verification
A Zhou, K Wang, Z Lu, W Shi, S Luo, Z Qin, S Lu, A Jia, L Song, M Zhan, ...
arXiv preprint arXiv:2308.07921, 2023
Federated recommendation system via differential privacy
T Li, L Song, C Fragouli
2020 IEEE international symposium on information theory (ISIT), 2592-2597, 2020
Energy-optimal and delay-bounded computation offloading in mobile edge computing with heterogeneous clouds
T Zhao, S Zhou, L Song, Z Jiang, X Guo, Z Niu
China Communications 17 (5), 191-210, 2020
A pliable index coding approach to data shuffling
L Song, C Fragouli, T Zhao
IEEE Transactions on Information Theory 66 (3), 1333-1353, 2019
A pliable index coding approach to data shuffling
L Song, C Fragouli, T Zhao
Information Theory (ISIT), 2017 IEEE International Symposium on, 2558-2562, 2017
Communication-efficient federated learning with adaptive quantization
Y Mao, Z Zhao, G Yan, Y Liu, T Lan, L Song, W Ding
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-26, 2022
Towards efficient communications in federated learning: A contemporary survey
Z Zhao, Y Mao, Y Liu, L Song, Y Ouyang, X Chen, W Ding
Journal of the Franklin Institute 360 (12), 8669-8703, 2023
Using contextual learning to improve diagnostic accuracy: Application in breast cancer screening
L Song, W Hsu, J Xu, M Van Der Schaar
IEEE journal of biomedical and health informatics 20 (3), 902-914, 2015
The tradeoff between privacy and accuracy in anomaly detection using federated xgboost
M Yang, L Song, J Xu, C Li, G Tan
arXiv preprint arXiv:1907.07157, 2019
Personalized federated recommendation via joint representation learning, user clustering, and model adaptation
S Luo, Y Xiao, L Song
Proceedings of the 31st ACM international conference on information …, 2022
Data encoding for byzantine-resilient distributed optimization
D Data, L Song, SN Diggavi
IEEE Transactions on Information Theory 67 (2), 1117-1140, 2020
Risk-aware edge computation offloading using bayesian stackelberg game
Y Bai, L Chen, L Song, J Xu
IEEE Transactions on Network and Service Management 17 (2), 1000-1012, 2020
Personalized active learning for activity classification using wireless wearable sensors
J Xu, L Song, JY Xu, GJ Pottie, M Van Der Schaar
IEEE journal of selected topics in signal processing 10 (5), 865-876, 2016
Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities
T Li, C Li, J Luo, L Song
Intelligent and Converged Networks 1 (1), 1-17, 2020
Privacy-aware edge computing based on adaptive DNN partitioning
C Shi, L Chen, C Shen, L Song, J Xu
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Scheduling to minimize age of information in multi-state time-varying networks with power constraints
H Tang, J Wang, L Song, J Song
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
S Liu, W Shao, T Li, W Xu, L Song
Digital Signal Processing 125, 103120, 2022
The system can't perform the operation now. Try again later.
Articles 1–20