Confidentiality and Integrity Schemes for Multicore Shared Memory Systems. - Pengfei Yang 001; Wenkai Lv; Jiayang Huang; Quan Wang 006; Xiaokun Huang; Kun Xie (J. Circuits Syst. Comput., 2022)

Microservice Deployment in Edge Computing Based on Deep Q Learning. - Wenkai Lv; Quan Wang 006; Pengfei Yang 001; Yunqing Ding; Bijie Yi; Zhenyi Wang; Chengmin Lin (IEEE Trans. Parallel Distributed Syst., 2022)

Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing. - Wenkai Lv; Pengfei Yang 001; Tianyang Zheng; Bijie Yi; Yunqing Ding; Quan Wang 006; Minwen Deng (IEEE Internet Things J., 2023)

Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks. - Wenkai Lv; Pengfei Yang 001; Yunqing Ding; Zhenyi Wang; Chengmin Lin; Quan Wang 006 (Remote. Sens., 2023)

Efficient and accurate compound scaling for convolutional neural networks. - Chengmin Lin; Pengfei Yang 001; Quan Wang 006; Zeyu Qiu; Wenkai Lv; Zhenyi Wang (Neural Networks, 2023)

Fine-grained complexity-driven latency predictor in hardware-aware neural architecture search using composite loss. - Chengmin Lin; Pengfei Yang 001; Chengcheng Li; Fei Cheng; Wenkai Lv; Zhenyi Wang; Quan Wang 006 (Inf. Sci., 2024)

Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC. - Zhenyi Wang; Pengfei Yang 001; Bowen Zhang; Linwei Hu; Wenkai Lv; Chengmin Lin; Quan Wang 006 (Inf. Sci., 2024)

SLAPP: Subgraph-level attention-based performance prediction for deep learning models. - Zhenyi Wang; Pengfei Yang 001; Linwei Hu; Bowen Zhang; Chengmin Lin; Wenkai Lv; Quan Wang 006 (Neural Networks, 2024)

Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing. - Wenkai Lv; Pengfei Yang 001; Tianyang Zheng; Chengmin Lin; Zhenyi Wang; Minwen Deng; Quan Wang 006 (IEEE Internet Things J., 2024)

Performance Prediction for Deep Learning Models With Pipeline Inference Strategy. - Zhenyi Wang; Pengfei Yang 001; Bowen Zhang; Linwei Hu; Wenkai Lv; Chengmin Lin; Cheng Zhang; Quan Wang 006 (IEEE Internet Things J., 2024)

Cortex: Enhancing Resource Utilization in Edge Clusters Through Efficient Co-Location of LC and BE Workloads. - Tianyang Zheng; Pengfei Yang 001; Quan Wang 006; Shuyu Zhang; Hui Li; Wenkai Lv (IEEE Internet Things J., 2025)

PipeMCTS: Pipeline Inference Optimization for Edge Computing via Surrogate Model-Guided MCTS. - Zhenyi Wang; Jianjun Ding; Dan Xian; Yusheng Jin; Dejun Hua; Wenbin Hua; Wenkai Lv; Chengmin Lin (IEEE Internet Things J., 2025)