papers
Publications (8)
math.OC2024
A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees
Shuyao Li, Stephen J. Wright
cs.CL2023
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase
Dawei Li, Yaxuan Li, Dheeraj Mekala +5
cs.IR2026
OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval
Ziwei Li, Shuyao Li, Xufeng Cai +12
The paper introduces OneShot, an end-to-end framework that jointly learns an index and ranking model for large‑scale retrieval, aligning index structure with ranking objectives and…
#large-scale retrieval#recommendation systems#neural scoring#index learning
math.OC2024
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
Shuyao Li, Yu Cheng, Ilias Diakonikolas +3
cs.CV2026
Open-Weather Robust 3D Detection via Dual-Critic Diffusion Alignment
Shuyao Li, Chuanxing Geng, Heyang Sun +2
cs.LG2026
Robust Learning of a Group DRO Neuron
Guyang Cao, Shuyao Li, Sushrut Karmalkar +1
cs.LG2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas +1
cs.LG2025
Distributionally Robust Optimization with Adversarial Data Contamination
Shuyao Li, Ilias Diakonikolas, Jelena Diakonikolas