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Your search keyword '"Chen, Haoming"' showing total 36 results
Start Over Author "Chen, Haoming" Publisher elsevier bv
36 results on '"Chen, Haoming"'

9. Discovery of novel flavonoid-based CDK9 degraders for prostate cancer treatment via a PROTAC strategy

Author

Wu, Tizhi, primary, Zhang, Zhiming, additional, Gong, Guangyue, additional, Du, Zekun, additional, Xu, Yifan, additional, Yu, Sixian, additional, Ma, Feihai, additional, Zhang, Xuan, additional, Wang, Yuxiao, additional, Chen, Haoming, additional, Wu, Shiqi, additional, Xu, Xi, additional, Qiu, Zhixia, additional, Li, Zhiyu, additional, Wu, Hongxi, additional, Bian, Jinlei, additional, and Wang, Jubo, additional

Published
2023
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13. Layer-wise partitioning and merging for efficient and scalable deep learning

Author

Akintoye, Samson B, Han, Liangxiu, Lloyd, Huw, Zhang, Xin, Dancey, Darren, Chen, Haoming, Zhang, Daoqiang, Akintoye, Samson B, Han, Liangxiu, Lloyd, Huw, Zhang, Xin, Dancey, Darren, Chen, Haoming, and Zhang, Daoqiang

Abstract

Deep Neural Network (DNN) models are usually trained sequentially from one layer to another, which causes forward, backward and update locking problems, leading to poor performance in terms of training time. The existing parallel strategies to mitigate these problems provide suboptimal runtime performance. In this work, we have proposed a novel layer-wise partitioning and merging, forward and backward pass parallel framework to provide better training performance. The novelty of the proposed work consists of (1) a layer-wise partition and merging model which can minimise communication overhead between devices without the memory cost of existing strategies during the training process; (2) a forward pass and backward pass parallelisation to address the update locking problem and minimise the total training cost. The experimental evaluation on real use cases shows that the proposed method outperforms the state-of-the-art approaches in terms of training speed; and achieves almost linear speedup without compromising the accuracy performance of the non-parallel approach.

Published
2023

18. Vitamin D3 suppresses astrocyte activation and ameliorates coal dust-induced mood disorders in mice

Author

Zou, Yuanjie, primary, Mu, Min, additional, Zhang, Siyuan, additional, Li, Chuansuo, additional, Tian, Kai, additional, Li, Zhou, additional, Li, Bing, additional, Wang, Wenyang, additional, Cao, Hangbing, additional, Sun, Qixian, additional, Chen, Haoming, additional, Ge, Deyong, additional, Tao, Huihui, additional, and Tao, Xinrong, additional

Published
2022
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19. Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning

Author

Akintoye, Samson B., Han, Liangxiu, Lloyd, Huw, Zhang, Xin, Dancey, Darren, Chen, Haoming, and Zhang, Daoqiang

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, History, Computer Science - Distributed, Parallel, and Cluster Computing, Polymers and Plastics, Distributed, Parallel, and Cluster Computing (cs.DC), Business and International Management, Industrial and Manufacturing Engineering, Machine Learning (cs.LG)
Abstract

Deep Neural Network (DNN) models are usually trained sequentially from one layer to another, which causes forward, backward and update locking's problems, leading to poor performance in terms of training time. The existing parallel strategies to mitigate these problems provide suboptimal runtime performance. In this work, we have proposed a novel layer-wise partitioning and merging, forward and backward pass parallel framework to provide better training performance. The novelty of the proposed work consists of 1) a layer-wise partition and merging model which can minimise communication overhead between devices without the memory cost of existing strategies during the training process; 2) a forward pass and backward pass parallelisation and optimisation to address the update locking problem and minimise the total training cost. The experimental evaluation on real use cases shows that the proposed method outperforms the state-of-the-art approaches in terms of training speed; and achieves almost linear speedup without compromising the accuracy performance of the non-parallel approach.

Published
2022
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22. LixMn2O4 ultrathin nanosheets with faster Li+ diffusion for highly reversible Li-ions batteries

Author

Yin Yang, Chen Haoming, Yajun Zhang, Lin Yu, Zhousheng Liu, and Junli Zhou

Subjects
Materials science, Mechanical Engineering, Diffusion, Spinel, 02 engineering and technology, engineering.material, 010402 general chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, 01 natural sciences, 0104 chemical sciences, Ion, Crystallinity, Chemical engineering, Mechanics of Materials, engineering, General Materials Science, 0210 nano-technology, Dissolution, Faraday efficiency
Abstract

In this work, spinel LixMn2O4 with high crystallinity are successfully synthesized via a simple polyol-reflux process. Li0.93Mn2O4 shows ultrathin nanosheets structure (4 nm in thickness) with exposed {1 1 1} facets, which can effectively restrain the Mn dissolution. The Li0.93Mn2O4 (LMO-1) nanosheets delivers much larger Li+ diffusion coefficient (2.50 × 10−11 cm2 s−1) and much higher discharge capacity (124.6 mAh g−1 at 0.1 C) than that of commercial particles (104.1 mAh g−1, 2.97 × 10−12 cm2 s−1) and makes the discharge capacity approaching the theoretical capacity (138.24 mAh g−1). Moreover, the obtained Li0.93Mn2O4 nanosheets have high initial coulombic efficiency (99.6%) and 92% capacity retentions up to 100 cycles, indicating high reversible performance.

Published
2019
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24. Identification of the Electronic and Structural Dynamics of Catalytic Centers in Single-Fe-Atom Material

Author

Li, Xuning, primary, Cao, Chang-Su, additional, Hung, Sung-Fu, additional, Lu, Ying-Rui, additional, Cai, Weizheng, additional, Rykov, Alexandre I., additional, Miao, Shu, additional, Xi, Shibo, additional, Yang, Hongbin, additional, Hu, Zehua, additional, Wang, Junhu, additional, Zhao, Jiyong, additional, Alp, Esen Ercan, additional, Xu, Wei, additional, Chan, Ting-Shan, additional, Chen, Haoming, additional, Xiong, Qihua, additional, Xiao, Hai, additional, Huang, Yanqiang, additional, Li, Jun, additional, Zhang, Tao, additional, and Liu, Bin, additional

Published
2020
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27. A comparison between sulfuric acid and oxalic acid leaching with subsequent purification and precipitation for phosphorus recovery from sewage sludge incineration ash

Author

Liang, Sha, primary, Chen, Haoming, additional, Zeng, Xiaohui, additional, Li, Zhibin, additional, Yu, Wenbo, additional, Xiao, Keke, additional, Hu, Jingping, additional, Hou, Huijie, additional, Liu, Bingchuan, additional, Tao, Shuangyi, additional, and Yang, Jiakuan, additional

Published
2019
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36. A study of electroless cobalt alloy films for magnetic recording media

Author

Chen Haoming, Yang Chen, Liu Ke, He Yusheng, and Liu Zhihui

Subjects
Materials science, business.industry, Scanning electron microscope, Metals and Alloys, chemistry.chemical_element, Perpendicular recording, Surfaces and Interfaces, Substrate (electronics), Manganese, Microstructure, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Optics, chemistry, Materials Chemistry, Thin film, Composite material, business, Anisotropy, Polyimide
Abstract

The perpendicularly oriented crystal structure conditions of electroless plated films with polyimide and glass substrates were investigated by Co(002) plane rocking curves and scanning electron microscopy observation. It is concluded that not only the MnSO4 concentration in the bath but also the substrate has a remarkable effect on the film microstructures.

Published
1989
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