A Sequential Guiding Network with Attention for Image Captioning. - Daouda Sow; Zengchang Qin; Mouhamed Niasse; Tao Wan 001 (ICASSP, 2019)

ES-Based Jacobian Enables Faster Bilevel Optimization. - Daouda Sow; Kaiyi Ji; Yingbin Liang (CoRR, 2021)

On the Convergence Theory for Hessian-Free Bilevel Algorithms. - Daouda Sow; Kaiyi Ji; Yingbin Liang (NeurIPS, 2022)

A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima. - Daouda Sow; Kaiyi Ji; Ziwei Guan; Yingbin Liang (CoRR, 2022)

Non-Convex Bilevel Optimization with Time-Varying Objective Functions. - Sen Lin 001; Daouda Sow; Kaiyi Ji; Yingbin Liang; Ness B. Shroff (NeurIPS, 2023)

Algorithm Design for Online Meta-Learning with Task Boundary Detection. - Daouda Sow; Sen Lin 001; Yingbin Liang; Junshan Zhang (CPAL, 2024)

Doubly Robust Instance-Reweighted Adversarial Training. - Daouda Sow; Sen Lin 001; Zhangyang Wang; Yingbin Liang (ICLR, 2024)

Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. - Xuxi Chen; Zhendong Wang; Daouda Sow; Junjie Yang; Tianlong Chen 001; Yingbin Liang; Mingyuan Zhou; Zhangyang Wang (CoRR, 2024)

AdaProx: A Novel Method for Bilevel Optimization under Pessimistic Framework. - Ziwei Guan; Daouda Sow; Sen Lin 001; Yingbin Liang (CPAL, 2025)

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining. - Daouda Sow; Herbert Woisetschläger; Saikiran Bulusu; Shiqiang Wang 001; Hans-Arno Jacobsen; Yingbin Liang (ICLR, 2025)