T
Tong Liu
Researcher at Shanghai University
Publications - Â 39
Citations - Â 557
Tong Liu is an academic researcher from Shanghai University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 9, co-authored 31 publications receiving 359 citations. Previous affiliations of Tong Liu include Microsoft & Shanghai Jiao Tong University.
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Proceedings ArticleDOI
Diagnosing New York city's noises with ubiquitous data
TL;DR: This paper infer the fine-grained noise situation (consisting of a noise pollution indicator and the composition of noises) of different times of day for each region of NYC, by using the 311 complaint data together with social media, road network data, and Points of Interests (POIs).
Journal ArticleDOI
Online Computation Offloading and Resource Scheduling in Mobile-Edge Computing
TL;DR: In this paper, an attention-based double deep $Q$ network (DDQN) is proposed to estimate the cumulative latency and energy rewards achieved by each action, and a context-aware attention mechanism is designed to adaptively assign different weights to the values of each action.
Journal ArticleDOI
$ALC^{2}$ : When Active Learning Meets Compressive Crowdsensing for Urban Air Pollution Monitoring
TL;DR: An active learning scheme is proposed, which iteratively selects valuable locations to collect sensing data and provides incentives to the participants, and air pollution concentrations in unselected locations are inferred via CS.
Journal ArticleDOI
PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems
TL;DR: Wang et al. as discussed by the authors proposed a privacy-oriented task offloading method that can resist attacks from privacy attackers with prior knowledge, where the local computing model, channel model, and privacy loss model are defined and used to quantify evaluation indicators, such those related to privacy, time, and energy.
Journal ArticleDOI
Social welfare maximization in participatory smartphone sensing
Tong Liu,Yanmin Zhu +1 more
TL;DR: Two distributed solutions are proposed, which protect users' privacy and achieve optimal social welfare of a participatory smartphone system and are designed based on the Lagrangian dual decomposition.