Efficient Deep Neural Network Compression for Environmental Sound Classification on Microcontroller Units, Turkish Journal of Electrical Engineering and Computer Sciences, 2024.
EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clusters, ACM Transactions on Internet Technology, 2024.
An Intelligent Co-Scheduling Framework for Efficient Super-Resolution on Edge Platforms with Heterogeneous Processors, IEEE Internet of Things Journal, 2024.
TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Devices, IEEE Internet of Things Journal, 2024.
Model Parallelism Optimization for Distributed DNN Inference on Edge Devices, PAAP Conference, 2023. Runner-ups Award
Dynamic Deep Neural Network Inference via Adaptive Channel Skipping, Turkish Journal of Electrical Engineering and Computer Sciences, 2023.
Deep Reinforcement Learning Based Multi-Task Automated Channel Pruning for DNNs, IEEE IJCNN Conference, 2023.
面向轨道缺陷检测的联邦学习轻量化模型训练技术研究, 铁道学报, 2023.
Classification-based Dynamic Network for Efficient Super-Resolution, IEEE ICASSP Conference, 2023.
Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters, ACM Transactions on Internet Technolog, 2023.
JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks, Journal of Parallel and Distributed Computing, 2023.
一种基于知识蒸馏的目标检测模型增量深度学习方法, 工程科学与技术, 2022.
基于多智能体深度强化学习的车联网通信资源分配优化, 北京交通大学学报, 2022.
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud System, IEEE Transactions on Big Data, IEEE Transactions on Big Data, 2022.
An ADMM based Incentive Approach for Cooperative Data Analysis in Edge Computing, Turkish Journal of Electrical Engineering and Computer Sciences, 2021.
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing, Applied Soft Computing, 2021.
EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices, IEEE Transactions on Industrial Informatics, 2021.
Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach, Wireless Networks, 2021.
Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating, IEEE Access, 2021.
EdgeLD: Locally Distributed Deep Learning Inference on Edge Device Clusters, IEEE HPCC Conference, 2020
面向物联网隐私数据分析的分布式弹性网络回归学习算法, 电子与信息学报, 2020
A Markov Approximation Algorithm for Computation Offloading and Resource Scheduling in Mobile Edge Computing, CyberDI Conference, 2019.
OKRA: Optimal Task and Resource Allocation for Energy Minimization in Mobile Edge Computing Systems,Wireless Networks, 2019.
Markov Approximation for Task Offloading and Computation Scaling in Mobile Edge Computing, Mobile Information Systems,2019.
A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing, Computers, Materials & Continua,2019. Best Paper Award
Android Malware Identification based on Traffic Analysis, ICAIS Conference, 2019.
移动边缘计算中分布式的设备发射功率优化算法, 西安交通大学学报, 2018.
A Distributed ADMM Approach for Energy-efficient Resource Allocation in Mobile Edge Computing, Turkish Journal of Electrical Engineering and Computer Sciences, 2018.
A Stochastic Control Approach to Maximize Profit on Service Provisioning for Mobile Cloudlet Platforms, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.
基于蓝牙信标和微信的位置服务系统研究, 计算机技术与发展, 2017.
Optimal Scheduling for Energy Harvesting Mobile Sensing Devices, Computer Communications, 2016.