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ORCIDSicong Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- 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
- 2024
[j29]Qian-Yu Wang, Sicong Liu, Chunwei Li, Zhongshan Deng:
Liquid Metal Yagi-Like Antenna Printed on Shape Memory Polymer Substrate for Pattern Reconfiguration. IEEE Access 12: 126921-126927 (2024)- [j28]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) - [j27]Yongxin Li, Chunbiao Li, Qing Zhong, Tengfei Lei, Sicong Liu:
Attractor Merging and Amplitude Control of Hyperchaos in a Self-Reproducing Memristive Map. Int. J. Bifurc. Chaos 34(4): 2450050:1-2450050:26 (2024) - [j26]Sicong Liu, Yinbao Zhang, Jianzhong Liu, Xinjia Zhang, Xiaoshuang Huang:
Spatio-Temporal Evolution Characteristics and Influencing Factors of INGO Activities in Myanmar. ISPRS Int. J. Geo Inf. 13(4): 109 (2024) - [j25]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) - [j24]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) - [c32]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 - [c31]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 - [c30]Fang Chen, Yu Zheng, Zheng Wang, Wanchao Chi, Sicong Liu:
RBI-RRT*: Efficient Sampling-based Path Planning for High-dimensional State Space. ICRA 2024: 8721-8727 - [c29]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 - [c28]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) - 2023
- [j23]Tong Chen, Sicong Liu, Zhiran Chen, Wenyan Hu, Dachi Chen, Yuanxin Wang, Qi Lyu, Cindy X. Le, Wenping Wang:
Faster, Stronger, and More Interpretable: Massive Transformer Architectures for Vision-Language Tasks. Adv. Artif. Intell. Mach. Learn. 3(3): 1369-1388 (2023) - [j22]Qingcheng Fan, Sicong Liu, Shuqin Li, Chunjiang Zhao:
Bottom-up cattle pose estimation via concise multi-branch network. Comput. Electron. Agric. 211: 107945 (2023) - [j21]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) - [j20]Qingcheng Fan, Sicong Liu, Chunjiang Zhao, Shuqin Li:
An Instance- and Label-Based Feature Selection Method in Classification Tasks. Inf. 14(10): 532 (2023) - [j19]Sicong Liu, Qingcheng Fan, Chunjiang Zhao, Shuqin Li:
RTAD: A Real-Time Animal Object Detection Model Based on a Large Selective Kernel and Channel Pruning. Inf. 14(10): 535 (2023) - [j18]Sicong Liu, Qingcheng Fan, Shuqin Li, Chunjiang Zhao:
MAPoseNet: Animal pose estimation network via multi-scale convolutional attention. J. Vis. Commun. Image Represent. 97: 103989 (2023) - [c27]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 - [c26]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 - [c25]Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng:
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. ICLR 2023 - [c24]Sicong Liu, Yaohua Wang, Xin Yikuan, Yingjie Shi, Liu Yi:
Research on Intergenerational Affinity Products Based on Analytic Hierarchy Process. ISCID 2023: 169-172 - [i11]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) - [i10]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) - [i9]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
- [j17]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) - [j16]Yongxin Li, Chunbiao Li, Sicong Liu, Tengfei Lei, Yicheng Jiang:
An Initially-Controlled Double-Scroll Hyperchaotic Map. Int. J. Bifurc. Chaos 32(8): 2250119:1-2250119:13 (2022) - [j15]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) - [j14]Sicong Liu, Qingcheng Fan, Shanghao Liu, Shuqin Li, Chunjiang Zhao:
An Attention-Refined Light-Weight High-Resolution Network for Macaque Monkey Pose Estimation. Inf. 13(8): 356 (2022) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [c23]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 - [c22]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 - [c21]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 - [i8]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
- [j9]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) - [j8]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) - [j7]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) - [j6]Sicong Liu, Jillian M. Clements, Elayna P. Kirsch, Hrishikesh M. Rao, David J. Zielinski, Yvonne Lu, Boyla O. Mainsah, Nicholas D. Potter, Marc A. Sommer, Regis Kopper, Lawrence G. Appelbaum:
Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality. J. Cogn. Neurosci. 33(7): 1253-1270 (2021) - [j5]Hans Walter Behrens, K. Selçuk Candan, Xilun Chen, Yash Garg, Mao-Lin Li, Xinsheng Li, Sicong Liu, Maria Luisa Sapino, Md Shadab, Dalton Turner, Magesh Vijayakumaren:
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. Trans. Data Sci. 2(3): 19:1-19:37 (2021) - [j4]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) - [c20]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 - [c19]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 - [c18]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 - [i7]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) - [i6]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) - [i5]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
- [c17]Xiao Huang, Sicong Liu:
Massive MIMO Channel Estimation for Vehicular Communications: A Deep Learning Based Approach. ICC Workshops 2020: 1-6 - [c16]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 - [i4]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) - [i3]Sicong Liu, Junzhao Du, Anshumali Shrivastava, Lin Zhong:
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy. CoRR abs/2006.06535 (2020)
2010 – 2019
- 2019
- [j3]Sicong Liu, Junzhao Du, Anshumali Shrivastava, Lin Zhong:
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 144:1-144:18 (2019) - [i2]Sicong Liu, Anshumali Shrivastava, Junzhao Du, Lin Zhong:
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network. CoRR abs/1901.08730 (2019) - [i1]Zhecheng An, Sicong Liu:
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN. CoRR abs/1909.13827 (2019) - 2018
- [j2]Sicong Liu, Silvestro Roberto Poccia, K. Selçuk Candan, Maria Luisa Sapino, Xiaolan Wang:
Robust Multi-Variate Temporal Features of Multi-Variate Time Series. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 7:1-7:24 (2018) - [c15]Jun Xu, Gang Liu, Sicong Liu, Raoshan Xu:
The Collaboration Learning in the Interdisciplinary Workshop Based on Design Thinking: A Learning Outcome Perspective. HCI (19) 2018: 158-168 - [c14]Sicong Liu, Yan Xi, Hui Wang:
The Utility of the Virtual Reality in Autistic Disorder Treatment. HCI (7) 2018: 551-559 - [c13]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) - [c12]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 - [c11]Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Selçuk Candan:
SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. EDBT 2017: 582-585 - [c10]Jun Xu, Sicong Liu, Xiaozhen Fu:
Applying Working Memory Theory to Redesign a Mobile Application User Interface: Take a Handicraft Self-learning Page as an Example. HCI (19) 2017: 324-332 - 2016
- [c9]Xue Yang, Junzhao Du, Sicong Liu, Rui Li, Hui Liu:
Air pollution source estimation profiling via mobile sensor networks. CITS 2016: 1-5 - [c8]Sicong Liu, Junzhao Du:
Poster: MobiEar-Building an Environment-independent Acoustic Sensing Platform for the Deaf using Deep Learning. MobiSys (Companion Volume) 2016: 50 - [c7]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 - 2015
- [c6]Sicong Liu, Yash Garg, K. Selçuk Candan, Maria Luisa Sapino, Gerardo Chowell-Puente:
NOTES2: Networks-of-Traces for Epidemic Spread Simulations. AAAI Workshop: Computational Sustainability 2015 - 2014
- [c5]Sicong Liu, Xianxian Kong, Zhenlan Jin, Ling Li:
The causal interaction within attention networks and emotion network: A fMRI study. EMBC 2014: 2388-2391 - [c4]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 - 2011
- [c3]Sicong Liu, Xue Chen, Yangyang Fan, Xian Zhou, Bo Zhao:
Investigation of Pilot-Aided Phase Noise Compensation in CO-OFDM System. CMC 2011: 192-194 - [c2]Xian Zhou, Xue Chen, Yangyang Fan, Bo Zhao, Sicong Liu:
The DSP Algorithms Design of 112Gbit/s POLMUX- NRZ-DQPSK Digital Coherent Receiver. CMC 2011: 195-198 - [c1]Yangyang Fan, Xue Chen, Xian Zhou, Bo Zhao, Sicong Liu:
The Investigation of Spectral-Efficient Coherent Optical OFDM for 400-Gb/s Per Channel. CMC 2011: 199-201
Coauthor Index
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