Search Results - "Rong, Jingtao"

Analysis of User Satisfaction with Online Education Platforms in China during the COVID-19 Pandemic by Chen, Tinggui, Peng, Lijuan, Yin, Xiaohua, Rong, Jingtao, Yang, Jianjun, Cong, Guodong

“…The outbreak of Corona Virus Disease 2019 (COVID-19) in various countries at the end of last year has transferred traditional face-to-face teaching to online…”
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Modeling Rumor Diffusion Process With the Consideration of Individual Heterogeneity: Take the Imported Food Safety Issue as an Example During the COVID-19 Pandemic by Chen, Tinggui, Rong, Jingtao, Yang, Jianjun, Cong, Guodong

“…At present, rumors appear frequently in social platforms. The rumor diffusion will cause a great impact on the network order and the stability of the society…”
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Monitoring and Recognizing Enterprise Public Opinion from High-Risk Users Based on User Portrait and Random Forest Algorithm by Chen, Tinggui, Yin, Xiaohua, Peng, Lijuan, Rong, Jingtao, Yang, Jianjun, Cong, Guodong

“…With the rapid development of “We media” technology, netizens can freely express their opinions regarding enterprise products on a network platform…”
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Analysis of Social Effects on Employment Promotion Policies for College Graduates Based on Data Mining for Online Use Review in China during the COVID-19 Pandemic by Chen, Tinggui, Rong, Jingtao, Peng, Lijuan, Yang, Jianjun, Cong, Guodong, Fang, Jing

“…As an important part of human resources, college graduates are the most vigorous, energetic, and creative group in society. The employment of college graduates…”
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Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity by Chen, Tinggui, Rong, Jingtao, Yang, Jianjun, Cong, Guodong, Li, Gongfa

“…The wide dissemination of false information and the frequent occurrence of extreme speeches on online social platforms have become increasingly prominent,…”
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Graph pruning for model compression by Zhang, Mingyang, Yu, Xinyi, Rong, Jingtao, Ou, Linlin

“…Previous AutoML pruning works utilized individual layer features to automatically prune filters. We analyze the correlation for two layers from the different…”
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Across-task neural architecture search via meta learning by Rong, Jingtao, Yu, Xinyi, Zhang, Mingyang, Ou, Linlin

“…Adequate labeled data and expensive compute resources are the prerequisites for the success of neural architecture search (NAS). It is challenging to apply NAS…”
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Repnas: Searching for Efficient Re-Parameterizing Blocks by Zhang, Mingyang, Yu, Xinyi, Rong, Jingtao, Ou, Linlin

“…In the past years, significant improvements in the field of neural architecture search(NAS) have been made. However, in order to improve the performance of the…”
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Across-Task Neural Architecture Search via Meta Learning by Rong, Jingtao, Yu, Xinyi, Zhang, Mingyang, Ou, Linlin

“…Adequate labeled data and expensive compute resources are the prerequisites for the success of neural architecture search(NAS). It is challenging to apply NAS…”
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RepNAS: Searching for Efficient Re-parameterizing Blocks by Zhang, Mingyang, Yu, Xinyi, Rong, Jingtao, Ou, Linlin

“…In the past years, significant improvements in the field of neural architecture search(NAS) have been made. However, it is still challenging to search for…”
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Effective Model Compression via Stage-wise Pruning by Zhang, Mingyang, Yu, Xinyi, Rong, Jingtao, Ou, Linlin

“…Automated Machine Learning(Auto-ML) pruning methods aim at searching a pruning strategy automatically to reduce the computational complexity of deep…”
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Graph Pruning for Model Compression by Zhang, Mingyang, Yu, Xinyi, Rong, Jingtao, Ou, Linlin

“…Previous AutoML pruning works utilized individual layer features to automatically prune filters. We analyze the correlation for two layers from the different…”
Get full text