no code implementations • 8 Apr 2024 • Zekuan Yu, Haiwang Zhong, Guangchun Ruan, Xinfei Yan
Modern network-constrained unit commitment (NCUC) bears a heavy computational burden due to the ever-growing model scale.
no code implementations • 9 Sep 2023 • Renqi Chen, Jingjing Luo, Fan Nian, Yuhui Cen, Yiheng Peng, Zekuan Yu
Compared with manual design, Neural Architecture Search (NAS) realizes better segmentation results due to larger search space and automatic optimization, but most of the existing methods are weak in layer-wise feature aggregation and adopt a ``strong encoder, weak decoder" structure, insufficient to handle global relationships and local details.
no code implementations • 7 Jul 2023 • Yinghan Guan, Haoran Dai, Zekuan Yu, Shouyu Wang, Yuanjie Gu
Multimodal fusion detection always places high demands on the imaging system and image pre-processing, while either a high-quality pre-registration system or image registration processing is costly.
1 code implementation • 5 May 2023 • Chuang Zhu, ShengJie Liu, Zekuan Yu, Feng Xu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin
For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan.
no code implementations • 4 Mar 2023 • Xinyue Wang, Haiwang Zhong, Guanglun Zhang, Guangchun Ruan, Yiliu He, Zekuan Yu
With the increasing proportion of renewable energy in the generation side, it becomes more difficult to accurately predict the power generation and adapt to the large deviations between the optimal dispatch scheme and the day-ahead scheduling in the process of real-time dispatch.
no code implementations • 21 Sep 2022 • Zekuan Yu, Guangchun Ruan, Xinyue Wang, Guanglun Zhang, Yiliu He, Haiwang Zhong
In this paper, we propose an evaluation approach to analyze the performance of RL agents in a look-ahead economic dispatch scheme.
1 code implementation • 10 Dec 2021 • Guangchun Ruan, Zekuan Yu, Shutong Pu, Songtao Zhou, Haiwang Zhong, Le Xie, Qing Xia, Chongqing Kang
Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation.
no code implementations • 4 Dec 2021 • Chuang Zhu, Zheng Hu, Huihui Dong, Gang He, Zekuan Yu, Shangshang Zhang
In this paper, we propose a robust sample generation scheme to construct informative triplets.
1 code implementation • CVPR 2021 • Zongyong Deng, Hao liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun
In this paper, we propose a progressive margin loss (PML) approach for unconstrained facial age classification.
no code implementations • 12 May 2020 • Ning Zhu, Zekuan Yu, Caixia Kou
In this paper, we first propose a new deep neural architecture search pipeline combined with NAS technology and reinforcement learning strategy into face recognition.