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A deep learning model for structure-based bioactivity optimization and its application in the bioactivity optimization of a SARS-CoV-2 main protease inhibitor 期刊论文
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2025, 卷号: 291, 页码: 16
作者:  Yang, Zhenyu;  Wang, Kai;  Zhang, Guo;  Jiang, Yuanyuan;  Zeng, Rui;  Qiao, Jingxin;  Li, Yueyue;  Deng, Xinyue;  Xia, Ziyi;  Yao, Rui;  Zeng, Xiaoxi;  Zhang, Liyun;  Zhao, Yi;  Lei, Jian;  Chen, Runsheng
收藏  |  浏览/下载：7/0  |  提交时间：2025/06/25
Structure-based bioactivity optimization  Deep-learning model  SARS-CoV-2 main protease  Molecular scaffold  Pocket-StrMod  
Progress in estimating the state of health using transfer learning-based electrochemical impedance spectroscopy of lithium-ion batteries 期刊论文
IONICS, 2025, 页码: 13
作者:  Qi, Guangheng;  Du, Guangwen;  Wang, Kai
收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25
Transfer learning  Lithium-ion batteries  Electrochemical impedance spectroscopy  Estimation of SOH  
A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network 期刊论文
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2024, 卷号: 9, 期号: 6, 页码: 1-18
作者:  Yi, Zhenxiao;  Wang, Shi;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai
收藏  |  浏览/下载：21/0  |  提交时间：2024/12/06
Accuracy  Recurrent neural networks  Computational modeling  Time series analysis  Predictive models  Supercapacitors  Feature extraction  Prediction algorithms  Convolutional neural networks  Long short term memory  state of health  re-maining useful life  honey badger algorithm  recurrent dropout  
Battery health state prediction based on lightweight neural networks: A review 期刊论文
IONICS, 2024, 页码: 27
作者:  Zhang, Longlong;  Wang, Shanshuai;  Wang, Shi;  Zhong, Bai;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai
收藏  |  浏览/下载：15/0  |  提交时间：2024/12/06
State of health  Lithium-ion batteries  Lightweight neural networks  Attentional mechanisms  
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network 期刊论文
JOURNAL OF ENERGY STORAGE, 2023, 卷号: 73, 页码: 15
作者:  Gao, Jingyi;  Yang, Dongfang;  Wang, Shi;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai
收藏  |  浏览/下载：28/0  |  提交时间：2024/05/20
Lithium-ion battery  State of health estimation  Bidirectional temporal convolutional neural  network  Mixers  Transfer learning  
香山开源高性能RISC-V处理器设计与实现 期刊论文
计算机研究与发展, 2023, 卷号: 60, 期号: 3, 页码: 476
作者:  王凯帆;  徐易难;  余子濠;  唐丹;  陈国凯;  陈熙;  勾凌睿;  胡轩;  金越;  李乾若;  李昕;  蔺嘉炜;  刘彤;  刘志刚;  王华强;  王诲喆;  张传奇;  张发旺;  张林隽;  张紫飞;  张梓悦;  赵阳洋;  周耀阳;  邹江瑞;  蔡晔;  郇丹丹;  李祖松;  赵继业;  何伟;  孙凝晖;  包云岗
收藏  |  浏览/下载：56/0  |  提交时间：2024/05/20
RISC-V  high performance processor  open source  chip design  agile development  RISC-V  高性能处理器  开源  芯片设计  敏捷开发  
PA-Net: Learning local features using by pose attention for short-term person re-identification 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 565, 页码: 196-209
作者:  Wang, Kai;  Dong, Shichao;  Liu, Nian;  Yang, Junhui;  Li, Tao;  Hu, Qinghua
收藏  |  浏览/下载：51/0  |  提交时间：2021/12/01
Person re-identification  Pose attention  Feature fusion  Deep learning  
OSN: Onion-ring support neighbors for correspondence selection 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 560, 页码: 331-346
作者:  Gong, Cheng;  Lu, Ye;  Song, Chunying;  Li, Tao;  Wang, Kai
收藏  |  浏览/下载：61/0  |  提交时间：2021/12/01
Correspondence selection  Rotation invariance  Support neighbors  Coherence constraints  
Facility location games with optional preference 期刊论文
THEORETICAL COMPUTER SCIENCE, 2020, 卷号: 847, 页码: 185-197
作者:  Chen, Zhihuai;  Fong, Ken C. K.;  Li, Minming;  Wang, Kai;  Yuan, Hongning;  Zhang, Yong
收藏  |  浏览/下载：50/0  |  提交时间：2021/12/01
Game theory  Facility location game  Algorithmic mechanism design  Approximation  
AVNet: A retinal artery/vein classification network with category-attention weighted fusion 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 卷号: 195, 页码: 9
作者:  Kang, Hong;  Gao, Yingqi;  Guo, Song;  Xu, Xia;  Li, Tao;  Wang, Kai
收藏  |  浏览/下载：83/0  |  提交时间：2020/12/10
Retinal images  Artery/vein classification  Deep learning  Graph model