The Web Services on Mobile Shopping Automation. - Chengchih Yang; Chengmin Lin; Shihsung Chen (ICEB, 2004)

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)

Design of Adaptive Time-Varying Sliding Mode Controller for Underactuated Overhead Crane Optimized via Improved Honey Badger Algorithm. - Tianlei Wang; Jing Zhou; Qimei Zhang; Chengmin Lin; Yanyang Liang (J. Intell. Robotic Syst., 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)

QANS: Toward Quantized Neural Network Adversarial Noise Suppression. - Chengmin Lin; Fei Cheng; Pengfei Yang 001; Tianbing He; Jinpeng Liang; Quan Wang 006 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

Multihardware Adaptive Latency Prediction for Neural Architecture Search. - Chengmin Lin; Pengfei Yang 001; Quan Wang 006; Yitong Guo; Zhenyi Wang (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)