Sicong Liu

66 papers A* 1A 1B 4Misc 2Journal 47Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
AppFlow: Memory Scheduling for Cold Launch of Large Apps on Mobile and Vehicle Systems.
CoRR
Xiaochen Li, Sicong Liu, Bin Guo, Yu Ouyang, Fengmin Wu, Yuan Xu, Zhiwen Yu
2025 J jnl
AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices.
IEEE Trans. Mob. Comput.
Lehao Wang, Zhiwen Yu, Haoyi Yu, Sicong Liu, Yaxiong Xie, Bin Guo, Yunxin Liu
2025 J jnl
AdaFlowLite: Scalable and Non-Blocking Inference on Asynchronous Mobile Data.
IEEE Trans. Mob. Comput.
Sicong Liu, Fengmin Wu, Yuan Gao, Bin Guo, Zimu Zhou, Hongkai Wen, Zhiwen Yu
2025 J jnl
AdaKnife: Flexible DNN Offloading for Inference Acceleration on Heterogeneous Mobile Devices.
IEEE Trans. Mob. Comput.
Sicong Liu, Hao Luo, Xiaochen Li, Yao Li, Bin Guo, Zhiwen Yu, Yuzhan Wang, Ke Ma, Yasan Ding, Yuan Yao
2025 J jnl
AdaScale: Dynamic Context-Aware DNN Scaling via Automated Adaptation Loop on Mobile Devices.
IEEE Internet Things J.
Yuzhan Wang, Sicong Liu, Bin Guo, Boqi Zhang, Ke Ma, Yasan Ding, Hao Luo, Yao Li, Zhiwen Yu
2025 J jnl
AdaShift: Anti-Collapse and Real-Time Deep Model Evolution for Mobile Vision Applications.
IEEE Trans. Mob. Comput.
Ke Ma, Bin Guo, Sicong Liu, Cheng Fang, Siqi Luo, Zimu Zheng, Zhiwen Yu
2025 J jnl
Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A Survey.
CoRR
Sicong Liu, Weiye Wu, Xiangrui Xu, Teng Li, Bowen Pang, Bin Guo, Zhiwen Yu
2025 J jnl
ClassTer: Mobile Shift-Robust Personalized Federated Learning via Class-Wise Clustering.
IEEE Trans. Mob. Comput.
Xiaochen Li, Sicong Liu, Zimu Zhou, Yuan Xu, Bin Guo, Zhiwen Yu
2025 J jnl
CrowdHMTware: A Cross-Level Co-Adaptation Middleware for Context-Aware Mobile DL Deployment.
IEEE Trans. Mob. Comput.
Sicong Liu, Bin Guo, Shiyan Luo, Yuzhan Wang, Hao Luo, Cheng Fang, Yuan Xu, Ke Ma, Yao Li, Zhiwen Yu
2025 J jnl
CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment.
CoRR
Sicong Liu, Bin Guo, Shiyan Luo, Yuzhan Wang, Hao Luo, Cheng Fang, Yuan Xu, Ke Ma, Yao Li, Zhiwen Yu
2025 J jnl
CrowdMesh: A Dynamic Model Parallel Training System on Mobile Devices.
IEEE Internet Things J.
Ziqi Wang, Bin Guo, Sicong Liu, Zhiwen Yu, Daqing Zhang
2025 J jnl
DeepSwarm: towards swarm deep learning with bi-directional optimization of data acquisition and processing.
Frontiers Comput. Sci.
Sicong Liu, Bin Guo, Ziqi Wang, Lehao Wang, Zimu Zhou, Xiaochen Li, Zhiwen Yu
2025 A* conf
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity.
CVPR
Ke Ma, Jiaqi Tang, Bin Guo, Fan Dang, Sicong Liu, Zhui Zhu, Lei Wu, Cheng Fang, Ying-Cong Chen, Zhiwen Yu, Yunhao Liu
2025 J jnl
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity.
CoRR
Ke Ma, Jiaqi Tang, Bin Guo, Fan Dang, Sicong Liu, Zhui Zhu, Lei Wu, Cheng Fang, Ying-Cong Chen, Zhiwen Yu, Yunhao Liu
2024 J jnl
AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems.
CoRR
Lehao Wang, Zhiwen Yu, Sicong Liu, Chenshu Wu, Xiangrui Xu, Bin Guo
2024 Misc conf
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control.
SenSys
Fengmin Wu, Sicong Liu, Kehao Zhu, Xiaochen Li, Bin Guo, Zhiwen Yu, Hongkai Wen, Xiangrui Xu, Lehao Wang, Xiangyu Liu
2024 J jnl
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control.
CoRR
Fenmin Wu, Sicong Liu, Kehao Zhu, Xiaochen Li, Bin Guo, Zhiwen Yu, Hongkai Wen, Xiangrui Xu, Lehao Wang, Xiangyu Liu
2024 J jnl
AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing.
ACM Trans. Sens. Networks
Bowen Pang, Sicong Liu, Hongli Wang, Bin Guo, Yuzhan Wang, Hao Wang, Zhenli Sheng, Zhongyi Wang, Zhiwen Yu
2024 — conf
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices.
AdaAIoTSys@MobiSys
Zheng Lin, Bin Guo, Sicong Liu, Wentao Zhou, Yasan Ding, Yu Zhang, Zhiwen Yu
2024 J jnl
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices.
CoRR
Zheng Lin, Bin Guo, Sicong Liu, Wentao Zhou, Yasan Ding, Yu Zhang, Zhiwen Yu
2024 J jnl
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices.
CoRR
Yuzhan Wang, Sicong Liu, Bin Guo, Boqi Zhang, Ke Ma, Yasan Ding, Hao Luo, Yao Li, Zhiwen Yu
2024 Misc conf
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments.
SenSys
Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu
2024 J jnl
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments.
CoRR
Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu
2024 J jnl
CrowdLearning: A Decentralized Distributed Training Framework Based on Collectives of Trusted AIoT Devices.
IEEE Trans. Mob. Comput.
Ziqi Wang, Sicong Liu, Bin Guo, Zhiwen Yu, Daqing Zhang
2024 — conf
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls.
AdaAIoTSys@MobiSys
Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu
2024 J jnl
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls.
CoRR
Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu
2024 J jnl
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control.
CoRR
Xiaochen Li, Sicong Liu, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu
2024 J jnl
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Xiaochen Li, Sicong Liu, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu
2024 J jnl
Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey.
IEEE Commun. Surv. Tutorials
Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu
2024 J jnl
Size Matters: Characterizing the Effect of Target Size on Wi-Fi Sensing Based on the Fresnel Zone Model.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Zhu Wang, Chendi Geng, Zhuo Sun, Zhen Chen, Sicong Liu, Bin Guo, Zhiwen Yu
2024 J jnl
UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices.
CoRR
Haoyu Bian, Bin Guo, Sicong Liu, Yasan Ding, Shanshan Gao, Zhiwen Yu
2024 J jnl
UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Haoyu Bian, Bin Guo, Sicong Liu, Yasan Ding, Shanshan Gao, Zhiwen Yu
2023 — conf
A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments.
GPC (2)
Mengyuan Li, Bin Guo, Kaixing Zhao, Ruonan Xu, Sicong Liu, Sitong Mao, Shunbo Zhou, Qiaobo Xu, Zhiwen Yu
2023 J jnl
AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices.
CoRR
Lehao Wang, Zhiwen Yu, Haoyi Yu, Sicong Liu, Yaxiong Xie, Bin Guo, Yunxin Liu
2023 J jnl
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing.
CoRR
Bowen Pang, Sicong Liu, Hongli Wang, Bin Guo, Yuzhan Wang, Hao Wang, Zhenli Sheng, Zhongyi Wang, Zhiwen Yu
2023 J jnl
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey.
CoRR
Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu
2023 J jnl
Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yanfei Wang, Zhiwen Yu, Sicong Liu, Zimu Zhou, Bin Guo
2023 — conf
MoEnlight: Energy-efficient and self-adaptive Low-light Video Stream Enhancement on Mobile Devices.
ACM TUR-C
Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu
2022 J jnl
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices.
CoRR
Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu
2022 J jnl
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu
2022 J jnl
CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications.
IEEE Internet Things J.
Sicong Liu, Yungang Wu, Bin Guo, Yuzhan Wang, Ke Ma, Liyao Xiang, Zhetao Li, Zhiwen Yu
2022 B conf
Context-Adaptive Online Reinforcement Learning for Multi-view Video Summarization on Mobile Devices.
ICPADS
Jingyi Hao, Sicong Liu, Bin Guo, Yasan Ding, Zhiwen Yu
2022 J jnl
CrowdDesigner: information-rich and personalized product description generation.
Frontiers Comput. Sci.
Qiuyun Zhang, Bin Guo, Sicong Liu, Jiaqi Liu, Zhiwen Yu
2022 J jnl
CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT.
IEEE Internet Things J.
Bin Guo, Yan Liu, Sicong Liu, Zhiwen Yu, Xingshe Zhou
2022 J jnl
CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design.
IEEE Internet Things J.
Bin Guo, Jiaqi Liu, Sicong Liu, Jiayao Wang, Mengyuan Li, Chen Wang, Zhiwen Yu
2022 — conf
FedAux: An Efficient Framework for Hybrid Federated Learning.
ICC
Hang Gu, Bin Guo, Jiangtao Wang, Wen Sun, Jiaqi Liu, Sicong Liu, Zhiwen Yu
2022 J jnl
Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic.
Inf. Process. Manag.
Yuqi Zhang, Bin Guo, Yasan Ding, Jiaqi Liu, Chen Qiu, Sicong Liu, Zhiwen Yu
2022 — conf
Weather-oriented Domain Generalization of Semantic Segmentation for Autonomous Driving.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Cheng Fang, Bin Guo, Sicong Liu, Ke Ma, Zhiwen Yu
2021 J jnl
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.
IEEE Trans. Mob. Comput.
Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin
2021 J jnl
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications.
CoRR
Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du
2021 J jnl
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du
2021 J jnl
Context-aware Adaptive Surgery: A Fast and Effective Framework for Adaptative Model Partition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Hongli Wang, Bin Guo, Jiaqi Liu, Sicong Liu, Yungang Wu, Zhiwen Yu
2021 B conf
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards.
MASS
Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
2021 J jnl
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards.
CoRR
Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
2021 B conf
JointCS: Joint Search for Deep Model Compression and Segmentation on Heterogeneous IoT Devices.
ICPADS
Xinyu Li, Bin Guo, Sicong Liu, Chen Qiu, Yunji Liang, Zhiwen Yu
2021 — conf
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples.
BigCom
Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu
2021 J jnl
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples.
CoRR
Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu
2021 J jnl
Towards information-rich, logical dialogue systems with knowledge-enhanced neural models.
Neurocomputing
Hao Wang, Bin Guo, Wei Wu, Sicong Liu, Zhiwen Yu
2020 J jnl
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.
CoRR
Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin
2020 — conf
CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd intelligence.
ICDM (Workshops)
Qiuyun Zhang, Bin Guo, Sicong Liu, Zhiwen Yu
2018 A conf
On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework.
MobiSys
Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du
2017 J jnl
UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, Xin Wang
2017 — conf
Understanding Sensor Data Using Deep Learning Methods on Resource-Constrained Edge Devices.
CWSN
Junzhao Du, Sicong Liu, Yuheng Wei, Hui Liu, Xin Wang, Kaiming Nan
2016 — conf
Air pollution source estimation profiling via mobile sensor networks.
CITS
Xue Yang, Junzhao Du, Sicong Liu, Rui Li, Hui Liu
2016 — conf
CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc Networks.
WASA
Sicong Liu, Junzhao Du, Xue Yang, Rui Li, Hui Liu, Kewei Sha
2014 B conf
Lightweight construction of the information potential field in wireless sensor networks.
ICCCN
Junzhao Du, Sicong Liu, Chi Xu, Kai Wang, Hui Liu, Kewei Sha