Tong Liu

Orcid: 0000-0003-0485-839X

Affiliations:
  • Shanghai Jiao Tong University, Shanghai Key Laboratory of Scalable Computing and Systems, China


According to our database1, Tong Liu authored at least 47 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Mutually Supervised Graph Attention Network for Few-Shot Segmentation: The Perspective of Fully Utilizing Limited Samples.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

AFace: Range-flexible Anti-spoofing Face Authentication via Smartphone Acoustic Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

An ECA Regret Learning Game for Cross-Tier Computation Offloading Against Swarm Attacks in Sensor Edge Cloud.
IEEE Internet Things J., January, 2024

2023
Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing.
IEEE Trans. Mob. Comput., July, 2023

PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems.
IEEE Trans. Intell. Transp. Syst., 2023

Joint Task Offloading and Dispatching for MEC With Rational Mobile Devices and Edge Nodes.
IEEE Trans. Cloud Comput., 2023

Active Negative Loss Functions for Learning with Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

WiDual: User Identified Gesture Recognition Using Commercial WiFi.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
A Near-Optimal Approach for Online Task Offloading and Resource Allocation in Edge-Cloud Orchestrated Computing.
IEEE Trans. Mob. Comput., 2022

Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation.
ACM Trans. Knowl. Discov. Data, 2022

A Chunked Local Aggregation Strategy in Federated Learning.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Coalition Formation Game for Task Offloading in Edge Computing with Considering Individual Rationality and Collective Rationality of Users.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Online Computation Offloading and Resource Scheduling in Mobile-Edge Computing.
IEEE Internet Things J., 2021

Neural Adaptive IoT Streaming Analytics with RL-Adapt.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Joint Location-Value Privacy Protection for Spatiotemporal Data Collection via Mobile Crowdsensing.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

An Online Truthful Auction for IoT Data Trading with Dynamic Data Owners.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

MGSTCN: A Multi-Graph Spatio-Temporal Convolutional Network for Metro Passenger Flow Prediction.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021

Estimation of Load Factors of Trains Using Multi-source data for Complex Metro Systems.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021

2020
Predicting taxi demands via an attention-based convolutional recurrent neural network.
Knowl. Based Syst., 2020

Near-Optimal User Recruitment in Mobile Crowdsensing for Urban Fine-Grained Event Detection.
IEEE Access, 2020

CACRNN: A Context-Aware Attention-Based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

RESGCN: RESidual Graph Convolutional Network based Free Dock Prediction in Bike Sharing System.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

A Deep Reinforcement Learning Approach for Online Computation Offloading in Mobile Edge Computing.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

NuMessage: Providing Scalable and Reliable Messaging Service in Distributed Systems.
Proceedings of the Web Engineering - 20th International Conference, 2020

Task Offloading and Dispatching for MEC with Selfish Mobile Devices and Access Points.
Proceedings of the IEEE Global Communications Conference, 2020

A DQN-Based Approach for Online Service Placement in Mobile Edge Computing.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

An Efficient and Truthful Online Incentive Mechanism for a Social Crowdsensing Network.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019
ALC<sup>2</sup>: When Active Learning Meets Compressive Crowdsensing for Urban Air Pollution Monitoring.
IEEE Internet Things J., 2019

TGBA: A two-phase group buying based auction mechanism for recruiting workers in mobile crowd sensing.
Comput. Networks, 2019

Online task dispatching and pricing for quality-of-service-aware sensing data collection for mobile edge clouds.
CCF Trans. Netw., 2019

Latency-Minimized and Energy-Efficient Online Task Offloading for Mobile Edge Computing with Stochastic Heterogeneous Tasks.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Accuracy-Guaranteed Event Detection via Collaborative Mobile Crowdsensing with Unreliable Users.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
Distributed Social Welfare Maximization in Urban Vehicular Participatory Sensing Systems.
IEEE Trans. Mob. Comput., 2018

Location Privacy-Preserving Method for Auction-Based Incentive Mechanisms in Mobile Crowd Sensing.
Comput. J., 2018

2017
A Mixed Transmission Strategy to Achieve Energy Balancing in Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2017

Online Pricing for Efficient Renewable Energy Sharing in a Sustainable Microgrid.
Comput. J., 2017

Compressive detection and localization of multiple heterogeneous events in sensor networks.
Ad Hoc Networks, 2017

2016
Stochastic Optimal Control for Participatory Sensing Systems with Heterogenous Requests.
IEEE Trans. Computers, 2016

Long-Term Renewable Energy Usage Maximization in a Microgrid.
Proceedings of the 25th International Conference on Computer Communication and Networks, 2016

P2: A Location Privacy-Preserving Auction Mechanism for Mobile Crowd Sensing.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Incentive Design for Air Pollution Monitoring Based on Compressive Crowdsensing.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
A sociality-aware approach to computing backbone in mobile opportunistic networks.
Ad Hoc Networks, 2015

2014
Distributed Spectrum Sharing in Cognitive Radio Networks: A Pricing-Based Decomposition Approach.
Int. J. Distributed Sens. Networks, 2014

Social welfare maximization in participatory smartphone sensing.
Comput. Networks, 2014

A distributed spectrum sharing algorithm in cognitive radio networks.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Diagnosing New York city's noises with ubiquitous data.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014


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