1. Revisiting Large-Scale Non-convex Distributionally Robust Optimization

Q. Zhang, Y. Zhou, S. Khan, A. Bennette, L. Shen, S. Zou

International Conference on Learning Representations (ICLR), 2025

2. MGDA Converges under Generalized Smoothness, Provably 

Q. Zhang*, P. Xiao*, K. Ji, S. Zou

International Conference on Learning Representations (ICLR), 2025

3. Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Q. Zhang, Y. Zhou, A. Bennette, L. Shen, S. Zou

AAAI Conference on Artificial Intelligence (AAAI), 2024

4. Data-Driven Quickest Change Detection in Hidden Markov Models

Q. Zhang, Z. Sun, L. Herrera, S. Zou

IEEE International Symposium on Information Theory (ISIT), 2023

5. Data-Driven Quickest Change Detection in Markov Models

Q. Zhang, Z. Sun, L. Herrera, S. Zou

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

6. Predicting buffer status report (BSR) for 6G scheduling using machine learning models

Q. Zhang, A. Nikou, M. Daoutis

IEEE Wireless Communications and Networking Conference (WCNC), 2022

1. Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance

Q. Zhang, Y. Zhou, S. Zou

Transactions on Machine Learning Research (TMLR), 2025

2. Data-Driven Quickest Change Detection in (Hidden) Markov Models

Q. Zhang, Z. Sun, L. Herrera, S. Zou

IEEE Transactions on Signal Processing (TSP), 2024

3. Low-latency FEC design with geometric packet arrival and delayed feedback

Q. Zhang, X. Xu

IEEE Communications Letters, 2020