1 code implementation • 29 Feb 2024 • Hao Li, Ying Chen, Yifei Chen, Wenxian Yang, Bowen Ding, Yuchen Han, Liansheng Wang, Rongshan Yu
It is designed to enhance the model's generalizability by leveraging the interaction between localized visual patterns and fine-grained pathological semantics.
1 code implementation • 13 Jun 2023 • Yuchen Han, Chen Xu, Tong Xiao, Jingbo Zhu
Pre-training and fine-tuning is a paradigm for alleviating the data scarcity problem in end-to-end speech translation (E2E ST).
no code implementations • 21 Sep 2022 • B. Cooper Boniece, José E. Figueroa-López, Yuchen Han
Several rate- and variance-efficient estimators have been proposed in the literature when the jump component is of bounded variation.
no code implementations • 2 Feb 2022 • B. Cooper Boniece, José E. Figueroa-López, Yuchen Han
The proposed method is based on a two-step debiasing procedure for the truncated realized quadratic variation of the process.
no code implementations • 3 Jan 2021 • José E. Figueroa-López, Ruoting Gong, Yuchen Han
The method is tested via simulations to estimate the volatility and the Blumenthal-Getoor index of the generalized CGMY model as well as the integrated volatility of a Heston-type model with CGMY jumps.