Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Chaojian Li"'
Publikováno v:
Adsorption Science & Technology, Vol 42 (2024)
Heated cigarettes are becoming trendy due to their advantage of not burning the tobacco material and thus reducing the amount of harmful ingredients released, while being able to leave the nicotine and tar content of the smoke untouched. However, the
Externí odkaz:
https://doaj.org/article/1909bfa2a5444890a1157d13da8b6c1e
Autor:
Xiaowang Zhang, Zhuotao Tan, Chaojian Li, Siyu Qi, Mengjiao Xu, Ming Li, Wenlong Xiong, Wei Zhuang, Dong Liu, Chenjie Zhu, Hanjie Ying
Publikováno v:
Bioresources and Bioprocessing, Vol 8, Iss 1, Pp 1-9 (2021)
Abstract Background Lactones are important compounds in the field of medicine, material and chemical industry. One of the promising accesses to these flexible scaffolds is NAD(P)+-dependent alcohol dehydrogenases-catalyzed oxidative lactonization of
Externí odkaz:
https://doaj.org/article/cc384b9049d441d1a7785c512fe3f096
Autor:
Chaojian Li, Lan Ding, Changneng Liang, Jie Zhang, Chao Zhang, Hongying Mei, Chao Wang, Weidong Wu, Jin Zhang, Wen Xu
Publikováno v:
ACS Omega, Vol 2, Iss 9, Pp 5759-5765 (2017)
Externí odkaz:
https://doaj.org/article/a2cbb7cbc2b1414387866c9aa7474512
Autor:
Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin
Publikováno v:
IEEE Micro. :1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b77a59390d6bdda326df15d1c0d77d9
https://doi.org/10.1109/mm.2023.3274736
https://doi.org/10.1109/mm.2023.3274736
Autor:
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
The record-breaking performance of deep neural networks (DNNs) comes with heavy parameter budgets, which leads to external dynamic random access memory (DRAM) for storage. The prohibitive energy of DRAM accesses makes it nontrivial for DNN deployment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0790b10c5a0cf2b1d32160e77076fb76
https://doi.org/10.1109/tnnls.2021.3138056
https://doi.org/10.1109/tnnls.2021.3138056
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c13ddd116b6d65dbb27023d472ed77ba
https://doi.org/10.1007/978-3-031-25066-8_40
https://doi.org/10.1007/978-3-031-25066-8_40
Autor:
Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin
Vision Transformer (ViT) has emerged as a competitive alternative to convolutional neural networks for various computer vision applications. Specifically, ViT multi-head attention layers make it possible to embed information globally across the overa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf90cfb05378ea41b005f3d484962268
http://arxiv.org/abs/2211.05109
http://arxiv.org/abs/2211.05109
Autor:
Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin
Publikováno v:
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::673e7dd9da0a6cd58e45943595d87fce
https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830458
https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830458
Autor:
Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin
Eye tracking has become an essential human-machine interaction modality for providing immersive experience in numerous virtual and augmented reality (VR/AR) applications desiring high throughput (e.g., 240 FPS), small-form, and enhanced visual privac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f41f683b18fb587add4b97ddb694b709
http://arxiv.org/abs/2206.00877
http://arxiv.org/abs/2206.00877
Publikováno v:
DAC
Driven by the explosive interest in applying deep reinforcement learning (DRL) agents to numerous real-time control and decision-making applications, there has been a growing demand to deploy DRL agents to empower daily-life intelligent devices, whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::994b686116758bc8acab7f1d9a17e71e
https://doi.org/10.1109/dac18074.2021.9586305
https://doi.org/10.1109/dac18074.2021.9586305