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

2025

DeepSwarm: towards swarm deep learning with bi-directional optimization of data acquisition and processing.

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[DOI]

Frontiers Comput. Sci., March, 2025

2024

CrowdLearning: A Decentralized Distributed Training Framework Based on Collectives of Trusted AIoT Devices.

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[DOI]

IEEE Trans. Mob. Comput., December, 2024

Spatio-Temporal Evolution Characteristics and Influencing Factors of INGO Activities in Myanmar.

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[DOI]

ISPRS Int. J. Geo Inf., April, 2024

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control.

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[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

Attractor Merging and Amplitude Control of Hyperchaos in a Self-Reproducing Memristive Map.

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[DOI]

Int. J. Bifurc. Chaos, March, 2024

AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing.

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[DOI]

ACM Trans. Sens. Networks, January, 2024

AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control.

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[DOI]

CoRR, 2024

UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices.

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[DOI]

CoRR, 2024

AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems.

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[DOI]

CoRR, 2024

Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey.

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[DOI]

IEEE Commun. Surv. Tutorials, 2024

Liquid Metal Yagi-Like Antenna Printed on Shape Memory Polymer Substrate for Pattern Reconfiguration.

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[DOI]

IEEE Access, 2024

AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control.

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[DOI]

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments.

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[DOI]

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

RBI-RRT*: Efficient Sampling-based Path Planning for High-dimensional State Space.

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[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls.

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[DOI]

Proceedings of the 2024 Workshop on Adaptive AIoT Systems, 2024

AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices.

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[DOI]

Proceedings of the 2024 Workshop on Adaptive AIoT Systems, 2024

2023

MAPoseNet: Animal pose estimation network via multi-scale convolutional attention.

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[DOI]

J. Vis. Commun. Image Represent., December, 2023

Bottom-up cattle pose estimation via concise multi-branch network.

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[DOI]

Comput. Electron. Agric., August, 2023

Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications.

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[DOI]

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.

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[DOI]

Inf., 2023

An Instance- and Label-Based Feature Selection Method in Classification Tasks.

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[DOI]

Inf., 2023

AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices.

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[DOI]

CoRR, 2023

Faster, Stronger, and More Interpretable: Massive Transformer Architectures for Vision-Language Tasks.

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[DOI]

Adv. Artif. Intell. Mach. Learn., 2023

Research on Intergenerational Affinity Products Based on Analytic Hierarchy Process.

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[DOI]

Proceedings of the 16th International Symposium on Computational Intelligence and Design, 2023

On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments.

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[DOI]

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.

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[DOI]

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Asymmetric two-stream network for screen content image quality assessment based on region features.

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[DOI]

J. Electronic Imaging, 2022

Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic.

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[DOI]

Inf. Process. Manag., 2022

CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications.

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[DOI]

IEEE Internet Things J., 2022

CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design.

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[DOI]

IEEE Internet Things J., 2022

CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT.

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[DOI]

IEEE Internet Things J., 2022

An Attention-Refined Light-Weight High-Resolution Network for Macaque Monkey Pose Estimation.

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[DOI]

Inf., 2022

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices.

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[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

An Initially-Controlled Double-Scroll Hyperchaotic Map.

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[DOI]

Int. J. Bifurc. Chaos, 2022

CrowdDesigner: information-rich and personalized product description generation.

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[DOI]

Frontiers Comput. Sci., 2022

Weather-oriented Domain Generalization of Semantic Segmentation for Autonomous Driving.

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[DOI]

Proceedings of the IEEE Smartworld, 2022

Context-Adaptive Online Reinforcement Learning for Multi-view Video Summarization on Mobile Devices.

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[DOI]

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

FedAux: An Efficient Framework for Hybrid Federated Learning.

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[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2021

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.

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[DOI]

IEEE Trans. Mob. Comput., 2021

DataStorm: Coupled, Continuous Simulations for Complex Urban Environments.

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[DOI]

Trans. Data Sci., 2021

Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality.

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[DOI]

Lawrence G. Appelbaum

J. Cogn. Neurosci., 2021

Context-aware Adaptive Surgery: A Fast and Effective Framework for Adaptative Model Partition.

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[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications.

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[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Towards information-rich, logical dialogue systems with knowledge-enhanced neural models.

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[DOI]

Neurocomputing, 2021

Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards.

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[DOI]

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.

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[DOI]

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.

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[DOI]

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.

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[DOI]

CoRR, 2020

CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd intelligence.

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[DOI]

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Massive MIMO Channel Estimation for Vehicular Communications: A Deep Learning Based Approach.

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[DOI]

Xiao Huang

Sicong Liu

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

Privacy Adversarial Network: Representation Learning for Mobile Data Privacy.

[BibT_eX]

[DOI]

Sicong Liu

Junzhao Du

Anshumali Shrivastava

Lin Zhong

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN.

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[DOI]

Zhecheng An

Sicong Liu

CoRR, 2019

Better accuracy with quantified privacy: representations learned via reconstructive adversarial network.

[BibT_eX]

[DOI]

Sicong Liu

Anshumali Shrivastava

Junzhao Du

Lin Zhong

CoRR, 2019

2018

Robust Multi-Variate Temporal Features of Multi-Variate Time Series.

[BibT_eX]

[DOI]

Sicong Liu

Silvestro Roberto Poccia

K. Selçuk Candan

Maria Luisa Sapino

Xiaolan Wang

ACM Trans. Multim. Comput. Commun. Appl., 2018

On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework.

[BibT_eX]

[DOI]

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.

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[DOI]

Proceedings of the Design, User Experience, and Usability: Designing Interactions, 2018

The Utility of the Virtual Reality in Autistic Disorder Treatment.

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[DOI]

Sicong Liu

Yan Xi

Hui Wang

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.

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[DOI]

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.

[BibT_eX]

[DOI]

Jun Xu

Sicong Liu

Xiaozhen Fu

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.

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[DOI]

Silvestro Roberto Poccia

Proceedings of the 20th International Conference on Extending Database Technology, 2017

Understanding Sensor Data Using Deep Learning Methods on Resource-Constrained Edge Devices.

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[DOI]

Proceedings of the Wireless Sensor Networks, 2017

2016

CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc Networks.

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[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2016

Poster: MobiEar-Building an Environment-independent Acoustic Sensing Platform for the Deaf using Deep Learning.

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[DOI]

Sicong Liu

Junzhao Du

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Air pollution source estimation profiling via mobile sensor networks.

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[DOI]

Proceedings of the International Conference on Computer, 2016

2015

NOTES2: Networks-of-Traces for Epidemic Spread Simulations.

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[DOI]

Gerardo Chowell-Puente

Proceedings of the Computational Sustainability, 2015

2014

Lightweight construction of the information potential field in wireless sensor networks.

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[DOI]

Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

The causal interaction within attention networks and emotion network: A fMRI study.

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[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2011

The DSP Algorithms Design of 112Gbit/s POLMUX- NRZ-DQPSK Digital Coherent Receiver.

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[DOI]

Proceedings of the Third International Conference on Communications and Mobile Computing, 2011

Investigation of Pilot-Aided Phase Noise Compensation in CO-OFDM System.

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[DOI]

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.

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[DOI]

Proceedings of the Third International Conference on Communications and Mobile Computing, 2011

Sicong Liu

Known people with the same name:

Bibliography

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