Lightweight construction of the information potential field in wireless sensor networks. - Junzhao Du; Sicong Liu 005; Chi Xu; Kai Wang; Hui Liu 006; Kewei Sha (ICCCN, 2014)

Air pollution source estimation profiling via mobile sensor networks. - Xue Yang; Junzhao Du; Sicong Liu 005; Rui Li 047; Hui Liu 006 (CITS, 2016)

CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc Networks. - Sicong Liu 005; Junzhao Du; Xue Yang; Rui Li 047; Hui Liu 006; Kewei Sha (WASA, 2016)

Understanding Sensor Data Using Deep Learning Methods on Resource-Constrained Edge Devices. - Junzhao Du; Sicong Liu 005; Yuheng Wei; Hui Liu 006; Xin Wang; Kaiming Nan (CWSN, 2017)

UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones. - Sicong Liu 005; Zimu Zhou; Junzhao Du; Longfei Shangguan; Jun Han; Xin Wang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework. - Sicong Liu 005; Yingyan Lin; Zimu Zhou; Kaiming Nan; Hui Liu 006; Junzhao Du (MobiSys, 2018)

CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd intelligence. - Qiuyun Zhang; Bin Guo 001; Sicong Liu 005; Zhiwen Yu 001 (ICDM (Workshops), 2020)

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. - Sicong Liu 005; Junzhao Du; Kaiming Nan; Zimu Zhou; Atlas Wang; Yingyan Lin (CoRR, 2020)

TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples. - Jiahui Cheng; Bin Guo 001; Jiaqi Liu 002; Sicong Liu 005; Guangzhi Wu; Yueqi Sun; Zhiwen Yu 001 (BigCom, 2021)

JointCS: Joint Search for Deep Model Compression and Segmentation on Heterogeneous IoT Devices. - Xinyu Li; Bin Guo 001; Sicong Liu 005; Chen Qiu 002; Yunji Liang; Zhiwen Yu 001 (ICPADS, 2021)

Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. - Mengyuan Li; Bin Guo 001; Jiangshan Zhang; Jiaqi Liu 002; Sicong Liu 005; Zhiwen Yu 001; Zhetao Li; Liyao Xiang (MASS, 2021)

Towards information-rich, logical dialogue systems with knowledge-enhanced neural models. - Hao Wang 182; Bin Guo 001; Wei Wu 014; Sicong Liu 005; Zhiwen Yu 001 (Neurocomputing, 2021)

AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications. - Sicong Liu 005; Bin Guo 001; Ke Ma; Zhiwen Yu 001; Junzhao Du (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Context-aware Adaptive Surgery: A Fast and Effective Framework for Adaptative Model Partition. - Hongli Wang; Bin Guo 001; Jiaqi Liu 002; Sicong Liu 005; Yungang Wu; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. - Sicong Liu 005; Junzhao Du; Kaiming Nan; Zimu Zhou; Hui Liu 006; Zhangyang Wang; Yingyan Lin (IEEE Trans. Mob. Comput., 2021)

FedAux: An Efficient Framework for Hybrid Federated Learning. - Hang Gu; Bin Guo 001; Jiangtao Wang 001; Wen Sun 004; Jiaqi Liu 002; Sicong Liu 005; Zhiwen Yu 001 (ICC, 2022)

Context-Adaptive Online Reinforcement Learning for Multi-view Video Summarization on Mobile Devices. - Jingyi Hao; Sicong Liu 005; Bin Guo 001; Yasan Ding; Zhiwen Yu 001 (ICPADS, 2022)

Weather-oriented Domain Generalization of Semantic Segmentation for Autonomous Driving. - Cheng Fang; Bin Guo 001; Sicong Liu 005; Ke Ma; Zhiwen Yu 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

CrowdDesigner: information-rich and personalized product description generation. - Qiuyun Zhang; Bin Guo 001; Sicong Liu 005; Jiaqi Liu 002; Zhiwen Yu 001 (Frontiers Comput. Sci., 2022)

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices. - Sicong Liu 005; Xiaochen Li; Zimu Zhou; Bin Guo 001; Meng Zhang 047; Haochen Shen; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT. - Bin Guo 001; Yan Liu 045; Sicong Liu 005; Zhiwen Yu 001; Xingshe Zhou 001 (IEEE Internet Things J., 2022)

CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design. - Bin Guo 001; Jiaqi Liu 002; Sicong Liu 005; Jiayao Wang; Mengyuan Li; Chen Wang 018; Zhiwen Yu 001 (IEEE Internet Things J., 2022)

CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications. - Sicong Liu 005; Yungang Wu; Bin Guo 001; Yuzhan Wang; Ke Ma; Liyao Xiang; Zhetao Li; Zhiwen Yu 001 (IEEE Internet Things J., 2022)

Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic. - Yuqi Zhang; Bin Guo 001; Yasan Ding; Jiaqi Liu 002; Chen Qiu 002; Sicong Liu 005; Zhiwen Yu 001 (Inf. Process. Manag., 2022)

MoEnlight: Energy-efficient and self-adaptive Low-light Video Stream Enhancement on Mobile Devices. - Sicong Liu 005; Xiaochen Li; Zimu Zhou; Bin Guo 001; Yuan Xu; Zhiwen Yu 001 (ACM TUR-C, 2023)

A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments. - Mengyuan Li; Bin Guo 001; Kaixing Zhao; Ruonan Xu; Sicong Liu 005; Sitong Mao; Shunbo Zhou; Qiaobo Xu; Zhiwen Yu 001 (GPC (2), 2023)

Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications. - Yanfei Wang; Zhiwen Yu 001; Sicong Liu 005; Zimu Zhou; Bin Guo 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices. - Zheng Lin; Bin Guo 001; Sicong Liu 005; Wentao Zhou; Yasan Ding; Yu Zhang 034; Zhiwen Yu 001 (AdaAIoTSys@MobiSys, 2024)

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls. - Sicong Liu 005; Wentao Zhou; Zimu Zhou; Bin Guo 001; Minfan Wang; Cheng Fang; Zheng Lin; Zhiwen Yu 001 (AdaAIoTSys@MobiSys, 2024)

AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments. - Cheng Fang; Sicong Liu 005; Zimu Zhou; Bin Guo 001; Jiaqi Tang 005; Ke Ma; Zhiwen Yu 001 (SenSys, 2024)

AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control. - Fengmin Wu; Sicong Liu 005; Kehao Zhu; Xiaochen Li; Bin Guo 001; Zhiwen Yu 001; Hongkai Wen 001; Xiangrui Xu 005; Lehao Wang; Xiangyu Liu (SenSys, 2024)

Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey. - Sicong Liu 005; Bin Guo 001; Cheng Fang; Ziqi Wang; Shiyan Luo; Zimu Zhou; Zhiwen Yu 001 (IEEE Commun. Surv. Tutorials, 2024)

AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems. - Lehao Wang; Zhiwen Yu 001; Sicong Liu 005; Chenshu Wu; Xiangrui Xu 005; Bin Guo 001 (CoRR, 2024)

AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control. - Fenmin Wu; Sicong Liu 005; Kehao Zhu; Xiaochen Li; Bin Guo 001; Zhiwen Yu 001; Hongkai Wen 001; Xiangrui Xu 005; Lehao Wang; Xiangyu Liu (CoRR, 2024)

AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing. - Bowen Pang; Sicong Liu 005; Hongli Wang; Bin Guo 001; Yuzhan Wang; Hao Wang 182; Zhenli Sheng; Zhongyi Wang; Zhiwen Yu 001 (ACM Trans. Sens. Networks, 2024)

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control. - Xiaochen Li; Sicong Liu 005; Zimu Zhou; Bin Guo 001; Yuan Xu; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous Devices. - Haoyu Bian; Bin Guo 001; Sicong Liu 005; Yasan Ding; Shanshan Gao; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Size Matters: Characterizing the Effect of Target Size on Wi-Fi Sensing Based on the Fresnel Zone Model. - Zhu Wang 001; Chendi Geng; Zhuo Sun 002; Zhen Chen; Sicong Liu 005; Bin Guo 001; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

CrowdLearning: A Decentralized Distributed Training Framework Based on Collectives of Trusted AIoT Devices. - Ziqi Wang; Sicong Liu 005; Bin Guo 001; Zhiwen Yu 001; Daqing Zhang 001 (IEEE Trans. Mob. Comput., 2024)

SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity. - Ke Ma; Jiaqi Tang 005; Bin Guo 001; Fan Dang 001; Sicong Liu 005; Zhui Zhu; Lei Wu; Cheng Fang; Ying-Cong Chen; Zhiwen Yu 001; Yunhao Liu 001 (CVPR, 2025)

AdaKnife: Flexible DNN Offloading for Inference Acceleration on Heterogeneous Mobile Devices. - Sicong Liu 005; Hao Luo 022; Xiaochen Li; Yao Li; Bin Guo 001; Zhiwen Yu 001; Yuzhan Wang; Ke Ma; Yasan Ding; Yuan Yao 004 (IEEE Trans. Mob. Comput., 2025)

DeepSwarm: towards swarm deep learning with bi-directional optimization of data acquisition and processing. - Sicong Liu 005; Bin Guo 001; Ziqi Wang; Lehao Wang; Zimu Zhou; Xiaochen Li; Zhiwen Yu 001 (Frontiers Comput. Sci., 2025)

ClassTer: Mobile Shift-Robust Personalized Federated Learning via Class-Wise Clustering. - Xiaochen Li; Sicong Liu 005; Zimu Zhou; Yuan Xu; Bin Guo 001; Zhiwen Yu 001 (IEEE Trans. Mob. Comput., 2025)

AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices. - Lehao Wang; Zhiwen Yu 001; Haoyi Yu; Sicong Liu 005; Yaxiong Xie; Bin Guo 001; Yunxin Liu 001 (IEEE Trans. Mob. Comput., 2025)

AdaScale: Dynamic Context-Aware DNN Scaling via Automated Adaptation Loop on Mobile Devices. - Yuzhan Wang; Sicong Liu 005; Bin Guo 001; Boqi Zhang; Ke Ma; Yasan Ding; Hao Luo 022; Yao Li; Zhiwen Yu 001 (IEEE Internet Things J., 2025)

CrowdHMTware: A Cross-Level Co-Adaptation Middleware for Context-Aware Mobile DL Deployment. - Sicong Liu 005; Bin Guo 001; Shiyan Luo; Yuzhan Wang; Hao Luo 022; Cheng Fang; Yuan Xu; Ke Ma; Yao Li; Zhiwen Yu 001 (IEEE Trans. Mob. Comput., 2025)