1 code implementation • 5 Jan 2024 • Lin Sun, Kai Zhang, Qingyuan Li, Renze Lou
Multimodal information extraction (MIE) gains significant attention as the popularity of multimedia content increases.
no code implementations • 16 Nov 2023 • Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Liang Li, Yifan Lu, Xiangxiang Chu, Yerui Sun, Yuchen Xie
The large language model era urges faster and less costly inference.
no code implementations • 6 Sep 2023 • Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu
On GLM-130B and OPT-66B, our method even achieves the same level of accuracy at 2-bit quantization as their float ones.
no code implementations • 30 Aug 2023 • Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie
In this study, we propose a novel W4A8 post-training quantization method for the available open-sourced LLMs, which combines the advantages of both two recipes.
no code implementations • 1 Oct 2022 • Qingyuan Li, Bo Zhang, Xiangxiang Chu
In this paper, we undertake a simple and effective approach that can be easily applied to both vision transformers and convolutional neural networks.
7 code implementations • 7 Sep 2022 • Chuyi Li, Lulu Li, Hongliang Jiang, Kaiheng Weng, Yifei Geng, Liang Li, Zaidan Ke, Qingyuan Li, Meng Cheng, Weiqiang Nie, Yiduo Li, Bo Zhang, Yufei Liang, Linyuan Zhou, Xiaoming Xu, Xiangxiang Chu, Xiaoming Wei, Xiaolin Wei
The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios.
Ranked #14 on Object Detection on COCO-O
no code implementations • 8 Sep 2020 • Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang
Smart audio devices are gated by an always-on lightweight keyword spotting program to reduce power consumption.
1 code implementation • 16 Aug 2019 • Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
To discover powerful yet compact models is an important goal of neural architecture search.
Ranked #76 on Neural Architecture Search on ImageNet
2 code implementations • arXiv 2019 • Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li
Deep convolutional neural networks demonstrate impressive results in the super-resolution domain.
Ranked #16 on Image Super-Resolution on BSD100 - 2x upscaling