1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
LTRL: Boosting Long-tail Recognition via Reflective Learning
Qihao Zhao, Yalun Dai, Shen Lin +3
In real-world scenarios, where knowledge distributions exhibit long-tail. Humans manage to master knowledge uniformly across imbalanced distributions, a feat attributed to their di…
cs.CV2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
Qihao Zhao, Yalun Dai, Hao Li +3
Long-tail recognition is challenging because it requires the model to learn good representations from tail categories and address imbalances across all categories. In this paper, w…
math.NA2023★ 1 cited
A discussion on numerical shock stability of unstructured finite volume method: Riemann solvers and limiters
Fan Zhang, Zhichao Yuan, Jun Liu
Numerical shock instability is a complexity which may occur in supersonic simulations. Riemann solver is usually the crucial factor that affects both the computation accuracy and n…