A Robustly Optimized BERT Pre-training Approach with Post-training. - Zhuang Liu 001; Wayne Lin; Ya Shi; Jun Zhao 022 (CCL, 2021)

Multi-Task Deep Neural Networks for Multi-Document Reading Comprehension. - Chang Liu; Zhuang Liu 001; Wayne Lin; Jun Zhao 022 (IJCNN, 2021)

Quantum Potential Games, Replicator Dynamics, and the Separability Problem. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (CoRR, 2023)

Multiplicative Updates for Online Convex Optimization over Symmetric Cones. - Ilayda Canyakmaz; Wayne Lin; Georgios Piliouras; Antonios Varvitsiotis (CoRR, 2023)

Steering game dynamics towards desired outcomes. - Ilayda Canyakmaz; Iosif Sakos; Wayne Lin; Antonios Varvitsiotis; Georgios Piliouras (CoRR, 2024)

A Primal-Dual Framework for Symmetric Cone Programming. - Jiaqi Zheng 004; Antonios Varvitsiotis; Tiow-Seng Tan; Wayne Lin (CoRR, 2024)

No-Regret Learning and Equilibrium Computation in Quantum Games. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (Quantum, 2024)

Learning and steering game dynamics towards desirable outcomes. - Ilayda Canyakmaz; Iosif Sakos; Wayne Lin; Antonios Varvitsiotis; Georgios Piliouras (L4DC, 2025)

Learning in Quantum Common-Interest Games and the Separability Problem. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (Quantum, 2025)

Optimistic Online Learning in Symmetric Cone Games. - Anas Barakat; Wayne Lin; John Lazarsfeld; Antonios Varvitsiotis (CoRR, 2025)