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ORCIDSicong Liu 0005
Person information
- affiliation: Northwestern Polytechnical University, School of Computer Science and Engineering, Xi'an, China
- affiliation (PhD 2020): Xidian University, School of Computer Science and Technology, Xi'an, China
Other persons with the same name
- Sicong Liu — disambiguation page
- Sicong Liu 0001
![[0000-0003-1612-4844]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1612-4844")
(aka: Sichong Liu 0001) — Tongji University, School of Geodesy and Geomatics, Shanghai, China (and 1 more) - Sicong Liu 0002 — Xiamen University, Department of Communications Engineering, China (and 1 more)
- Sicong Liu 0003 — Southern University of Science and Technology, Department of Mechanical and Energy Engineering, Shenzhen, China (and 1 more)
- Sicong Liu 0004 — Southwest University, College of Computer and Information Science, Chongqing, China
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2020 – today
- 2025
[j20]Sicong Liu, Bin Guo, Ziqi Wang, Lehao Wang, Zimu Zhou, Xiaochen Li, Zhiwen Yu:
DeepSwarm: towards swarm deep learning with bi-directional optimization of data acquisition and processing. Frontiers Comput. Sci. 19(3): 193501 (2025)- [j19]Sicong Liu, Hao Luo, Xiaochen Li, Yao Li, Bin Guo, Zhiwen Yu, Yuzhan Wang, Ke Ma, Yasan Ding, Yuan Yao:
AdaKnife: Flexible DNN Offloading for Inference Acceleration on Heterogeneous Mobile Devices. IEEE Trans. Mob. Comput. 24(2): 736-748 (2025) - 2024
- [j18]Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu:
Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey. IEEE Commun. Surv. Tutorials 26(1): 389-427 (2024) - [j17]Xiaochen Li, Sicong Liu, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu:
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 41:1-41:22 (2024) - [j16]Haoyu Bian, Bin Guo, Sicong Liu, Yasan Ding, Shanshan Gao, Zhiwen Yu:
UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(4): 163:1-163:26 (2024) - [j15]Zhu Wang, Chendi Geng, Zhuo Sun, Zhen Chen, Sicong Liu, Bin Guo, Zhiwen Yu:
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. 8(4): 209:1-209:22 (2024) - [j14]Ziqi Wang, Sicong Liu, Bin Guo, Zhiwen Yu, Daqing Zhang:
CrowdLearning: A Decentralized Distributed Training Framework Based on Collectives of Trusted AIoT Devices. IEEE Trans. Mob. Comput. 23(12): 13420-13437 (2024) - [j13]Bowen Pang, Sicong Liu, Hongli Wang, Bin Guo, Yuzhan Wang, Hao Wang, Zhenli Sheng, Zhongyi Wang, Zhiwen Yu:
AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing. ACM Trans. Sens. Networks 20(1): 21:1-21:28 (2024) - [c18]Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu:
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls. AdaAIoTSys@MobiSys 2024: 1-6 - [c17]Zheng Lin, Bin Guo, Sicong Liu, Wentao Zhou, Yasan Ding, Yu Zhang, Zhiwen Yu:
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices. AdaAIoTSys@MobiSys 2024: 19-20 - [c16]Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu:
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments. SenSys 2024: 295-308 - [c15]Fengmin Wu, Sicong Liu, Kehao Zhu, Xiaochen Li, Bin Guo, Zhiwen Yu, Hongkai Wen, Xiangrui Xu, Lehao Wang, Xiangyu Liu:
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control. SenSys 2024: 606-618 - [i16]Xiaochen Li, Sicong Liu, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu:
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control. CoRR abs/2401.15960 (2024) - [i15]Zheng Lin, Bin Guo, Sicong Liu, Wentao Zhou, Yasan Ding, Yu Zhang, Zhiwen Yu:
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices. CoRR abs/2404.19209 (2024) - [i14]Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu:
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls. CoRR abs/2405.01851 (2024) - [i13]Lehao Wang, Zhiwen Yu, Sicong Liu, Chenshu Wu, Xiangrui Xu, Bin Guo:
AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems. CoRR abs/2407.00016 (2024) - [i12]Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu:
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments. CoRR abs/2410.08256 (2024) - [i11]Haoyu Bian, Bin Guo, Sicong Liu, Yasan Ding, Shanshan Gao, Zhiwen Yu:
UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices. CoRR abs/2410.19279 (2024) - [i10]Fenmin Wu, Sicong Liu, Kehao Zhu, Xiaochen Li, Bin Guo, Zhiwen Yu, Hongkai Wen, Xiangrui Xu, Lehao Wang, Xiangyu Liu:
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control. CoRR abs/2410.24028 (2024) - [i9]Yuzhan Wang, Sicong Liu, Bin Guo, Boqi Zhang, Ke Ma, Yasan Ding, Hao Luo, Yao Li, Zhiwen Yu:
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices. CoRR abs/2412.00724 (2024) - 2023
- [j12]Yanfei Wang, Zhiwen Yu, Sicong Liu, Zimu Zhou, Bin Guo:
Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 36:1-36:29 (2023) - [c14]Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu:
MoEnlight: Energy-efficient and self-adaptive Low-light Video Stream Enhancement on Mobile Devices. ACM TUR-C 2023: 19-20 - [c13]Mengyuan Li, Bin Guo, Kaixing Zhao, Ruonan Xu, Sicong Liu, Sitong Mao, Shunbo Zhou, Qiaobo Xu, Zhiwen Yu:
A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments. GPC (2) 2023: 139-154 - [i8]Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu:
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey. CoRR abs/2309.15467 (2023) - [i7]Lehao Wang, Zhiwen Yu, Haoyi Yu, Sicong Liu, Yaxiong Xie, Bin Guo, Yunxin Liu:
AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices. CoRR abs/2309.15500 (2023) - [i6]Bowen Pang, Sicong Liu, Hongli Wang, Bin Guo, Yuzhan Wang, Hao Wang, Zhenli Sheng, Zhongyi Wang, Zhiwen Yu:
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing. CoRR abs/2310.16547 (2023) - 2022
- [j11]Qiuyun Zhang, Bin Guo, Sicong Liu, Jiaqi Liu, Zhiwen Yu:
CrowdDesigner: information-rich and personalized product description generation. Frontiers Comput. Sci. 16(6): 166339 (2022) - [j10]Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu:
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 172:1-172:26 (2022) - [j9]Bin Guo, Jiaqi Liu, Sicong Liu, Jiayao Wang, Mengyuan Li, Chen Wang, Zhiwen Yu:
CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design. IEEE Internet Things J. 9(19): 19387-19397 (2022) - [j8]Sicong Liu, Yungang Wu, Bin Guo, Yuzhan Wang, Ke Ma, Liyao Xiang, Zhetao Li, Zhiwen Yu:
CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications. IEEE Internet Things J. 9(21): 20801-20814 (2022) - [j7]Bin Guo, Yan Liu, Sicong Liu, Zhiwen Yu, Xingshe Zhou:
CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT. IEEE Internet Things J. 9(24): 24822-24842 (2022) - [j6]Yuqi Zhang, Bin Guo, Yasan Ding, Jiaqi Liu, Chen Qiu, Sicong Liu, Zhiwen Yu:
Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic. Inf. Process. Manag. 59(3): 102935 (2022) - [c12]Hang Gu, Bin Guo, Jiangtao Wang, Wen Sun, Jiaqi Liu, Sicong Liu, Zhiwen Yu:
FedAux: An Efficient Framework for Hybrid Federated Learning. ICC 2022: 195-200 - [c11]Jingyi Hao, Sicong Liu, Bin Guo, Yasan Ding, Zhiwen Yu:
Context-Adaptive Online Reinforcement Learning for Multi-view Video Summarization on Mobile Devices. ICPADS 2022: 411-418 - [c10]Cheng Fang, Bin Guo, Sicong Liu, Ke Ma, Zhiwen Yu:
Weather-oriented Domain Generalization of Semantic Segmentation for Autonomous Driving. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 368-375 - [i5]Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu:
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices. CoRR abs/2211.16135 (2022) - 2021
- [j5]Hao Wang, Bin Guo, Wei Wu, Sicong Liu, Zhiwen Yu:
Towards information-rich, logical dialogue systems with knowledge-enhanced neural models. Neurocomputing 465: 248-264 (2021) - [j4]Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du:
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 24:1-24:22 (2021) - [j3]Hongli Wang, Bin Guo, Jiaqi Liu, Sicong Liu, Yungang Wu, Zhiwen Yu:
Context-aware Adaptive Surgery: A Fast and Effective Framework for Adaptative Model Partition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 131:1-131:22 (2021) - [j2]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. IEEE Trans. Mob. Comput. 20(12): 3282-3297 (2021) - [c9]Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu:
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples. BigCom 2021: 136-143 - [c8]Xinyu Li, Bin Guo, Sicong Liu, Chen Qiu, Yunji Liang, Zhiwen Yu:
JointCS: Joint Search for Deep Model Compression and Segmentation on Heterogeneous IoT Devices. ICPADS 2021: 426-433 - [c7]Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang:
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. MASS 2021: 482-489 - [i4]Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du:
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications. CoRR abs/2101.11800 (2021) - [i3]Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang:
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. CoRR abs/2108.06886 (2021) - [i2]Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu:
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples. CoRR abs/2108.06939 (2021) - 2020
- [c6]Qiuyun Zhang, Bin Guo, Sicong Liu, Zhiwen Yu:
CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd intelligence. ICDM (Workshops) 2020: 535-542 - [i1]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. CoRR abs/2006.04432 (2020)
2010 – 2019
- 2018
- [c5]Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du:
On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework. MobiSys 2018: 389-400 - 2017
- [j1]Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, Xin Wang:
UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 17:1-17:21 (2017) - [c4]Junzhao Du, Sicong Liu, Yuheng Wei, Hui Liu, Xin Wang, Kaiming Nan:
Understanding Sensor Data Using Deep Learning Methods on Resource-Constrained Edge Devices. CWSN 2017: 139-152 - 2016
- [c3]Xue Yang, Junzhao Du, Sicong Liu, Rui Li, Hui Liu:
Air pollution source estimation profiling via mobile sensor networks. CITS 2016: 1-5 - [c2]Sicong Liu, Junzhao Du, Xue Yang, Rui Li, Hui Liu, Kewei Sha:
CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc Networks. WASA 2016: 356-366 - 2014
- [c1]Junzhao Du, Sicong Liu, Chi Xu, Kai Wang, Hui Liu, Kewei Sha:
Lightweight construction of the information potential field in wireless sensor networks. ICCCN 2014: 1-8
Coauthor Index
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