Design and Simulation of a Push Recovery Strategy for Biped Robot. - Dandan Hu; Ruoqiao Guan; Peiran Yu (ICIRA (3), 2019)

Iteratively reweighted ( ell _1 ) algorithms with extrapolation. - Peiran Yu; Ting Kei Pong (Comput. Optim. Appl., 2019)

TPJF: Machine Learning Based Intelligent Prediction of Preference for Japanese Food. - Peiran Yu; Min Fu (ICAIP, 2020)

FLDDoS: DDoS Attack Detection Model based on Federated Learning. - Jiachao Zhang; Peiran Yu; Le Qi; Song Liu; Haiyu Zhang; Jianzhong Zhang 003 (TrustCom, 2021)

Convergence Rate Analysis of a Sequential Convex Programming Method with Line Search for a Class of Constrained Difference-of-Convex Optimization Problems. - Peiran Yu; Ting Kei Pong; Zhaosong Lu (SIAM J. Optim., 2021)

Analysis and Algorithms for Some Compressed Sensing Models Based on L1/L2 Minimization. - Liaoyuan Zeng; Peiran Yu; Ting Kei Pong (SIAM J. Optim., 2021)

A Novel Method to Prevent Misconfigurations of Industrial Automation and Control Systems. - Yu Zhang 095; Yani Ge; Peiran Yu; Jianzhong Zhang 003; Yongzheng Zhang 002; Thar Baker (IEEE Trans. Ind. Informatics, 2021)

Kurdyka-Łojasiewicz Exponent via Inf-projection. - Peiran Yu; Guoyin Li 001; Ting Kei Pong (Found. Comput. Math., 2022)

Dropout Enhanced Bilevel Training. - Peiran Yu; Junyi Li; Heng Huang (ICLR, 2024)

Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems. - Peiran Yu; Junyi Li; Heng Huang (Trans. Mach. Learn. Res., 2024)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. - Reza Shirkavand; Peiran Yu; Shangqian Gao; Gowthami Somepalli; Tom Goldstein; Heng Huang (CVPR, 2025)

Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training. - Reza Shirkavand; Qi He; Peiran Yu; Heng Huang (CoRR, 2025)

Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. - Qi He; Peiran Yu; Ziyi Chen 002; Heng Huang (CoRR, 2025)