[1]Lin C, Cheng F, Yang P, He T, Liang J, Wang Q. QANS: Towards Quantized Neural Network Adversarial Noise Suppression[J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023, 42(12): 4858-4870. (CCF A类期刊)

[2]Lin C, Yang P, Wang Q, Qiu Z, Lv W, Wang Z. Efficient and accurate compound scaling for convolutional neural networks[J]. Neural Networks, 2023, 167: 787-797. (中科院一区TOP期刊)

[3]Lin C, Yang P, Li C, Cheng F, Lv W, Wang Z, Wang Q. Fine-Grained Complexity-Driven Latency Predictor in Hardware-aware Neural Architecture Search using Composite Loss [J]. Information Sciences, 2024, 676, 120783. (中科院一区TOP期刊)

[4] Lin C, Yang P, Wang Q, et al. Multi-Hardware Adaptive Latency Prediction for Neural Architecture Search[J]. IEEE Internet of Things Journal, 2024. (中科院一区TOP期刊)

[5] Lv W, Yang P, Zheng T, Lin C, Wang Z, Deng M, Wang Q. Graph Reinforcement Learning-based Dependency-Aware Microservice Deployment in Edge Computing[J]. IEEE Internet of Things Journal, 2023. （中科院一区TOP期刊）

[6] Wang Z, Yang P, B. Zhang, Hu L, Lin C, Zhang C, Wang Q. Performance Prediction for Deep Learning Models with Pipeline Inference Strategy[J], IEEE Internet of Things Journal, 2023.（中科院一区TOP期刊）

[7] Wang Z, Yang P, Hu L, Zhang B, Lin C, Lv W, Wang Q. SLAPP: Subgraph-level attention-based performance prediction for deep learning models[J]. Neural Networks, 2024, 170: 285-297.（中科院一区TOP期刊）

[8] Lv W, Wang Q, Yang P, Ding Y, Yi B, Wang Z, Lin C. Microservice deployment in edge computing based on deep Q learning[J]. IEEE Transactions on Parallel and Distributed Systems, 2022, 33(11): 2968-2978.（CCF A类期刊）

[9] Wang Z, Yang P, Zhang B, Hu L, Lv W, Lin C, Wang Q. Flexi-BOPI: Flexible Granularity Pipeline Inference with Bayesian Optimization for Deep Learning Models on HMPSoC[J]. Information Sciences, 2024, 678:120984. （中科院一区TOP期刊）

[10] Lv W, Yang P, Ding Y, Wang Z, Lin C, Wang Q. Energy-efficient and QoS-aware computation offloading in GEO/LEO hybrid satellite networks[J]. Remote Sensing, 2023, 15(13): 3299. （中科院二区期刊）