1 code implementation • 1 Nov 2023 • Hongyi Zheng, Abulhair Saparov
Recent advances in prompt engineering enable large language models (LLMs) to solve multi-hop logical reasoning problems with impressive accuracy.
no code implementations • 13 Jul 2023 • Hongyi Zheng, Yixin Zhu, Lavender Yao Jiang, Kyunghyun Cho, Eric Karl Oermann
Recent advances in large language models have led to renewed interest in natural language processing in healthcare using the free text of clinical notes.
1 code implementation • 10 Oct 2022 • Hongyi Zheng, Yanyu Chen, Zihan Zhang
Our project probes the relationship between temperatures and the blossom date of cherry trees.
1 code implementation • 10 Mar 2022 • Hongyi Zheng, Hongwei Yong, Lei Zhang
Nonetheless, the existing deep unfolding methods cannot explicitly solve the data term of the unfolding objective function, limiting their capability in blur kernel estimation.
1 code implementation • CVPR 2021 • Hongyi Zheng, Hongwei Yong, Lei Zhang
Inspired by the great success of deep neural networks (DNNs), many unfolding methods have been proposed to integrate traditional image modeling techniques, such as dictionary learning (DicL) and sparse coding, into DNNs for image restoration.