no code implementations • IWSLT 2017 • Hao Qin, Takahiro Shinozaki, Kevin Duh
Neural machine translation (NMT) systems have demonstrated promising results in recent years.
no code implementations • 31 Aug 2023 • Hao Qin, Zhaozhou Wu, Xingqi Zhang
Additionally, a thorough study of varying weather conditions on trajectory design is provided, and the impact of weight coefficients in the problem formulation is discussed.
1 code implementation • NeurIPS 2023 • Hao Qin, Kwang-Sung Jun, Chicheng Zhang
Maillard sampling \cite{maillard13apprentissage}, an attractive alternative to Thompson sampling, has recently been shown to achieve competitive regret guarantees in the sub-Gaussian reward setting \cite{bian2022maillard} while maintaining closed-form action probabilities, which is useful for offline policy evaluation.
no code implementations • 1 Mar 2021 • Keyu Li, Jian Wang, Yangxin Xu, Hao Qin, Dongsheng Liu, Li Liu, Max Q. -H. Meng
Furthermore, we propose a confidence-based approach to encode the optimization of image quality in the learning process.
no code implementations • 17 Feb 2021 • Poompong Chaiwongkhot, Jiaqiang Zhong, Anqi Huang, Hao Qin, Sheng-cai Shi, Vadim Makarov
We study potential security vulnerabilities of a single-photon detector based on superconducting transition-edge sensor.
Quantum Physics
1 code implementation • 10 Oct 2019 • Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni
In this study, we propose a novel reinforcement learning (RL) framework to automatically localize fetal brain standard planes in 3D US.