2 code implementations • 10 Apr 2024 • Jie Ou, Yueming Chen, Wenhong Tian
While Large Language Models (LLMs) have shown remarkable abilities, they are hindered by significant resource consumption and considerable latency due to autoregressive processing.
1 code implementation • 15 Jan 2024 • Jiahui Zhong, Wenhong Tian, Yuanlun Xie, Zhijia Liu, Jie Ou, Taoran Tian, Lei Zhang
In this work, we propose PMFSNet, a novel medical imaging segmentation model that effectively balances global and local feature processing while avoiding the computational redundancy typical in larger models.
no code implementations • 6 Nov 2023 • Guangyao Zhou, Yuanlun Xie, Wenhong Tian
Different from previous studies, this paper applies both internal feature fusion for a single model and feature fusion among multiple networks, as well as the ensemble strategy.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 11 May 2021 • Wenhong Tian, Yuanlun Xie, Tingsong Ma, Hengxin Zhang
At the same time, the lack of public high-quality facial expression data of the Terracotta Warriors also limits the use of deep learning technologies.
no code implementations • 9 May 2021 • Tahseen Khan, Wenhong Tian, Rajkumar Buyya
In cloud computing, Infrastructure as a Service (IaaS) is one of the most important and rapidly growing fields.
no code implementations • 21 Jun 2018 • Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
Based on the previous research on DRL in the literature, we introduce online resource scheduling algorithm DeepRM2 and the offline resource scheduling algorithm DeepRM_Off.