Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter

no code implementations • 25 Apr 2024 • Yuan Li, Subham Sahoo, Sergio Vazquez, Yichao Zhang, Tomislav Dragicevic, Frede Blaabjerg

This paper introduces a novel approach in designing prediction horizons on a generalized predictive control for a DC/DC boost converter.

Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE

no code implementations • 22 Jan 2024 • Hong Wei, James Xiao, Yichao Zhang, Xia Hong

This suggests that, in order to account for spatial correlation between pixels, a feature vector associated with each pixel may be a vectorized tensor representing the multiple bands and a local patch as appropriate.

Clustering Image Segmentation +2

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

1 code implementation • 5 Jan 2024 • DeepSeek-AI, :, Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, JianZhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, A. X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou

The rapid development of open-source large language models (LLMs) has been truly remarkable.

Multi-Task Variational Information Bottleneck

no code implementations • 1 Jul 2020 • Weizhu Qian, Bo-Wei Chen, Yichao Zhang, Guanghui Wen, Franck Gechter

Multi-task learning (MTL) is an important subject in machine learning and artificial intelligence.

Multi-Task Learning speech-recognition +2

Video Acceleration Magnification

1 code implementation • CVPR 2017 • Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert

In these contexts there is often large motion present which severely distorts current video amplification methods that magnify change linearly.

Motion Magnification Optical Flow Estimation +1