Data-Driven Quickest Change Detection in Markov Models. - Qi Zhang 069; Zhongchang Sun; Luis C. Herrera; Shaofeng Zou (ICASSP, 2023)

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. - Qi Zhang 069; Yi Zhou 017; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou (AAAI, 2024)

On the Convergence of Multi-objective Optimization under Generalized Smoothness. - Qi Zhang 069; Peiyao Xiao; Kaiyi Ji; Shaofeng Zou (CoRR, 2024)

Data-Driven Quickest Change Detection in (Hidden) Markov Models. - Qi Zhang 069; Zhongchang Sun; Luis C. Herrera; Shaofeng Zou (IEEE Trans. Signal Process., 2024)

MGDA Converges under Generalized Smoothness, Provably. - Qi Zhang 069; Peiyao Xiao; Shaofeng Zou; Kaiyi Ji (ICLR, 2025)

Revisiting Large-Scale Non-convex Distributionally Robust Optimization. - Qi Zhang 069; Yi Zhou 017; Simon Khan; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou (ICLR, 2025)

Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance. - Qi Zhang 069; Yi Zhou 017; Shaofeng Zou (Trans. Mach. Learn. Res., 2025)