Design and Demonstration of High-Throughput Protocol Oblivious Packet Forwarding to Support Software-Defined Vehicular Networks. - Quanying Sun; Yuhan Xue; Shengru Li; Zuqing Zhu (IEEE Access, 2017)

Virtualization of Table Resources in Programmable Data Plane with Global Consideration. - Yuhan Xue; Shengru Li; Kai Han 003; Sicheng Zhao; Huibai Huang; Shui Yu 001; Zuqing Zhu (GLOBECOM, 2018)

On Table Resource Virtualization and Network Slicing in Programmable Data Plane. - Yuhan Xue; Jianquan Peng; Kai Han 003; Zuqing Zhu (IEEE Trans. Netw. Serv. Manag., 2020)

Leveraging Heterogeneous NFV Platforms to Upgrade Service Function Chains in DCNs. - Yuhan Xue; Zuqing Zhu (NetSoft, 2021)

Hybrid Flow Table Installation: Optimizing Remote Placements of Flow Tables on Servers to Enhance PDP Switches for In-Network Computing. - Yuhan Xue; Zuqing Zhu (IEEE Trans. Netw. Serv. Manag., 2021)

On the Upgrade of Service Function Chains With Heterogeneous NFV Platforms. - Yuhan Xue; Zuqing Zhu (IEEE Trans. Netw. Serv. Manag., 2021)

CodedINT: Leveraging Network Coding to Improve the Visibility of In-band Network Telemetry (INT). - Zhihuang Ma; Shaofei Tang; Wenpeng Tao; Yuhan Xue; Zuqing Zhu (ICC, 2022)

Financial Crisis Prediction of Listed Companies Based on Optimized BP Neural Networks. - Yuhan Xue; Chong Wu (ICCBDC, 2023)

Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network-Based Deep Learning Models. - Minyue Yin; Xiaolong Liang; Zilan Wang; Yijia Zhou; Yu He; Yuhan Xue; Jingwen Gao; Jiaxi Lin; Chenyan Yu; Lu Liu; Xiaolin Liu; Chao Xu; et al. (J. Digit. Imaging, 2023)

Adaptive penalty-based neurodynamic approach for nonsmooth interval-valued optimization problem. - Linhua Luan; Xingnan Wen; Yuhan Xue; Sitian Qin (Neural Networks, 2024)

Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images. - Minyue Yin; Chao Xu; Jinzhou Zhu; Yuhan Xue; Yijia Zhou; Yu He; Jiaxi Lin; Lu Liu; Jingwen Gao; Xiaolin Liu; Dan Shen; Cuiping Fu (BMC Medical Imaging, 2024)

Initialization-free optimization algorithm for interval-valued distributed optimization. - Linhua Luan; Yani Li; Yuhan Xue; Xinrui Jiang (J. Frankl. Inst., 2025)

Recurrent neural network for solving several novel sales models: Try-Before-You-Buy. - Yuhan Xue; Chong Wu (Int. J. Mach. Learn. Cybern., 2025)

Event-Triggered Adaptive Nash Equilibrium Seeking Algorithm Over Unbalanced Digraph. - Jianing Chen; Yuxuan Li; Yuhan Xue; Sitian Qin (IEEE Trans. Autom. Control., 2025)