Sicong Liu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Sicong Liu 001 (Tongji University, School of Geodesy and Geomatics, Shanghai, China)
- Sicong Liu 002 (Xiamen University, Department of Communications Engineering, China)
- Sicong Liu 003 (Southern University of Science and Technology, Department of Mechanical and Energy Engineering, Shenzhen, China)
- Sicong Liu 004 (Southwest University, College of Computer and Information Science, Chongqing, China)
Bibliography
2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024
AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing.
ACM Trans. Sens. Networks, January, 2024
IEEE Commun. Surv. Tutorials, 2024
2023
J. Vis. Commun. Image Represent., December, 2023
Comput. Electron. Agric., August, 2023
Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023
RTAD: A Real-Time Animal Object Detection Model Based on a Large Selective Kernel and Channel Pruning.
Inf., 2023
Inf., 2023
CoRR, 2023
Faster, Stronger, and More Interpretable: Massive Transformer Architectures for Vision-Language Tasks.
Adv. Artif. Intell. Mach. Learn., 2023
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023
MoEnlight: Energy-efficient and self-adaptive Low-light Video Stream Enhancement on Mobile Devices.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023
2022
Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic.
Inf. Process. Manag., 2022
CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications.
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
An Attention-Refined Light-Weight High-Resolution Network for Macaque Monkey Pose Estimation.
Inf., 2022
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Frontiers Comput. Sci., 2022
Weather-oriented Domain Generalization of Semantic Segmentation for Autonomous Driving.
Proceedings of the IEEE Smartworld, 2022
Context-Adaptive Online Reinforcement Learning for Multi-view Video Summarization on Mobile Devices.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022
Proceedings of the IEEE International Conference on Communications, 2022
2021
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.
IEEE Trans. Mob. Comput., 2021
Trans. Data Sci., 2021
Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality.
J. Cogn. Neurosci., 2021
Context-aware Adaptive Surgery: A Fast and Effective Framework for Adaptative Model Partition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
Towards information-rich, logical dialogue systems with knowledge-enhanced neural models.
Neurocomputing, 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
JointCS: Joint Search for Deep Model Compression and Segmentation on Heterogeneous IoT Devices.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021
2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.
CoRR, 2020
CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd intelligence.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Coexistence of Cellular V2X and Wi-Fi over Unlicensed Spectrum with Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Massive MIMO Channel Estimation for Vehicular Communications: A Deep Learning Based Approach.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020
2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network.
CoRR, 2019
2018
ACM Trans. Multim. Comput. Commun. Appl., 2018
On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018
The Collaboration Learning in the Interdisciplinary Workshop Based on Design Thinking: A Learning Outcome Perspective.
Proceedings of the Design, User Experience, and Usability: Designing Interactions, 2018
Proceedings of the Universal Access in Human-Computer Interaction. Methods, Technologies, and Users, 2018
2017
UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Applying Working Memory Theory to Redesign a Mobile Application User Interface: Take a Handicraft Self-learning Page as an Example.
Proceedings of the Design, User Experience, and Usability: Designing Pleasurable Experiences, 2017
SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles.
Proceedings of the 20th International Conference on Extending Database Technology, 2017
Understanding Sensor Data Using Deep Learning Methods on Resource-Constrained Edge Devices.
Proceedings of the Wireless Sensor Networks, 2017
2016
Proceedings of the Wireless Algorithms, Systems, and Applications, 2016
Poster: MobiEar-Building an Environment-independent Acoustic Sensing Platform for the Deaf using Deep Learning.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
Proceedings of the International Conference on Computer, 2016
2015
Proceedings of the Computational Sustainability, 2015
2014
Lightweight construction of the information potential field in wireless sensor networks.
Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2011
Proceedings of the Third International Conference on Communications and Mobile Computing, 2011
Proceedings of the Third International Conference on Communications and Mobile Computing, 2011
The Investigation of Spectral-Efficient Coherent Optical OFDM for 400-Gb/s Per Channel.
Proceedings of the Third International Conference on Communications and Mobile Computing, 2011