Yusu Hong

According to our database, Yusu Hong authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Convergence Theory of Sharpness-Aware Minimization With Interpolating Neural Networks.

Tan Sun, Yusu Hong, Junhong Lin

IEEE Trans. Signal Process., 2026

2025

High probability bounds on AdaGrad for constrained weakly convex optimization.

Yusu Hong, Junhong Lin

J. Complex., 2025

Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization.

Yusu Hong, Junhong Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Revisiting Convergence of AdaGrad with Relaxed Assumptions.

Yusu Hong, Junhong Lin

Proceedings of the Uncertainty in Artificial Intelligence, 2024

On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions.

Yusu Hong, Junhong Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests.

Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023

High Probability Convergence of Adam Under Unbounded Gradients and Affine Variance Noise.

Yusu Hong, Junhong Lin

CoRR, 2023