Efficient Algorithms for Rotation Averaging Problems. - Yihong Dong; Lunchen Xie; Qingjiang Shi (Proc. ACM Comput. Graph. Interact. Tech., 2021)

An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization. - Lunchen Xie; Jiaqi Liu; Songtao Lu; Tsung-Hui Chang; Qingjiang Shi (ACM Trans. Intell. Syst. Technol., 2022)

HeteFed: Heterogeneous Federated Learning with Privacy-Preserving Binary Low-Rank Matrix Decomposition Method. - Jiaqi Liu; Kaiyu Huang; Lunchen Xie (CSCWD, 2023)

ZO-DARTS: Differentiable Architecture Search with Zeroth-Order Approximation. - Lunchen Xie; Kaiyu Huang; Fan Xu 001; Qingjiang Shi (ICASSP, 2023)

An Efficient Neural Architecture Search Model for Medical Image Classification. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manuel Roveri; Matteo Matteucci; Qingjiang Shi (ESANN, 2024)

A Lightweight Neural Architecture Search Model for Medical Image Classification. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manuel Roveri; Matteo Matteucci; Qingjiang Shi (CoRR, 2024)

ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manual Roveri; Matteo Matteucci; Qingjiang Shi (CoRR, 2025)