Augmented Cross-Entropy-Based Joint Temperature Optimization of Real-Time 3-D MPSoC Systems. - Yangguang Cui; Kun Cao 001; Liying Li 002; Junlong Zhou; Tongquan Wei; Shiyan Hu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Lifetime-Driven Scheduling of Security-Critical Internet-of-Things Applications on Real-Time Heterogeneous Multicore Systems. - Yufan Shen; Kun Cao 001; Yangguang Cui; Chengliang Zhou; Gongxuan Zhang; Junlong Zhou (HPCC/DSS/SmartCity/DependSys, 2021)

Exploring Placement of Heterogeneous Edge Servers for Response Time Minimization in Mobile Edge-Cloud Computing. - Kun Cao 001; Liying Li 002; Yangguang Cui; Tongquan Wei; Shiyan Hu 001 (IEEE Trans. Ind. Informatics, 2021)

DBANet: A Dual Branch Attention-Based Deep Neural Network for Biological Iris Recognition. - Jun Chen; Yangguang Cui; Fuke Shen; Jianhua Shen; Tongquan Wei (BIBM, 2022)

HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing. - Yangguang Cui; Kun Cao 001; Junlong Zhou; Tongquan Wei (DATE, 2022)

ML-FORMER: Forecasting by Neighborhood and Long-Range Dependencies. - Zengxiang Ke; Yangguang Cui; Liying Li 002; Tongquan Wei (ICANN (3), 2022)

CAIM: A Context-Aware Incentive Mechanism for Robust Federated Learning. - Chunwei Chang; Yangguang Cui; Jianhua Shen; Tongquan Wei (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber-Physical Systems. - Kun Cao 001; Yangguang Cui; Zhiquan Liu; Wuzheng Tan; Jian Weng 001 (IEEE Internet Things J., 2022)

Utility-driven renewable energy sharing systems for community microgrid. - Jun Chen; Liying Li 002; Yangguang Cui; Fuke Shen; Meikang Qiu; Tongquan Wei (J. Syst. Archit., 2022)

Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning. - Yangguang Cui; Kun Cao 001; Guitao Cao; Meikang Qiu; Tongquan Wei (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Meta Reinforcement Learning-based Scheme for Adaptive Service Placement in Edge Computing. - Jianfeng Rao; Tong Liu; Yangguang Cui; Yanmin Zhu (MSN, 2023)

Heterogeneity-Aware Federated Learning with Adaptive Local Epoch Size in Edge Computing. - Wenying Yao; Tong Liu; Yangguang Cui; Yanmin Zhu (MSN, 2023)

Filtering Out High Noise Data for Distributed Deep Neural Networks. - Yangguang Cui; Liying Li 002; Zhe Tao; Mingsong Chen 001; Tongquan Wei (IEEE Trans Autom. Sci. Eng., 2023)

FedEntropy: Information-entropy-aided training optimization of semi-supervised federated learning. - Dongwei Qian; Yangguang Cui; Yufei Fu; Feng Liu 039; Tongquan Wei (J. Syst. Archit., 2023)

Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing. - Yangguang Cui; Kun Cao 001; Junlong Zhou; Tongquan Wei (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Reinforcement Learning-Based Device Scheduling for Renewable Energy-Powered Federated Learning. - Yangguang Cui; Kun Cao 001; Tongquan Wei (IEEE Trans. Ind. Informatics, 2023)

MBSNN: A multi-branch scalable neural network for resource-constrained IoT devices. - Haizhou Wang; Liying Li 002; Yangguang Cui; Nuo Wang; Fuke Shen; Tongquan Wei (J. Syst. Archit., 2023)

Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining. - Yuhang Li; Tong Liu; Wenfeng Shen; Yangguang Cui; Weijia Lu (Euro-Par (2), 2024)

Bi-Level Reinforcement Learning-Based Task Offloading for Delay Optimization in Wireless Powered Mobile Edge Computing. - Siteng Liao; Yangguang Cui; Tong Liu; Yanmin Zhu (MSN, 2024)

A meta-learning based method for few-shot pneumonia identification using chest X-ray images. - Junwen Chen; Tong Liu; Yangguang Cui; Xiaoqiang Li; Weiqin Tong (Biomed. Signal Process. Control., 2024)

User-Distribution-Aware Federated Learning for Efficient Communication and Fast Inference. - Yangguang Cui; Zhixing Zhang; Nuo Wang; Liying Li 002; Chunwei Chang; Tongquan Wei (IEEE Trans. Computers, 2024)

Energy-Aware Incentive Mechanism for Hierarchical Federated Learning Using Water Filling Technique. - Yangguang Cui; Weiqin Tong; Tong Liu 001; Kun Cao 001; Junlong Zhou; Ming Xu 010; Tongquan Wei (IEEE Trans. Ind. Informatics, 2024)

Personalized Federated Learning for Green Industrial IoT. - Kun Cao 001; Yangguang Cui; Rui Xu 013; Yuxia Sun; Zhiquan Liu; Chaohong Tan (IEEE Trans. Ind. Informatics, 2025)