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| 1 | Malicious Web content detection by machine learning显示文摘 | Hou Yung-Tsung Chang Yimeng Chen Tsuhan | 2010 | Expert Systems with Applications2010，37，1： | 1 |
| 2 | Malicious web content detection by machine learning显示文摘 | Yung-Tsung Hou Yimeng Chang Tsuhan Chen | 2010 | Expert Systems with Applications2010，37，1： | 1 |
| 3 | Malicious web content detection by machine learning显示文摘 | Yung-Tsung Hou Yimeng Chang Tsuhan Chen | | 0，，01： | 1 |
| 4 | The First High-quality Reference Genome of Sika Deer Provides Insights into High-tannin Adaptation显示文摘Sika deer are known to prefer oak leaves,which are rich in tannins and toxic to most mammals;however,the genetic mechanisms underlying their unique ability to adapt to living in the jungle are still unclear.In identifying the mechanism responsible for the tolerance of a highly toxic diet,we have made a major advancement by explaining the genome of sika deer.We generated the first high-quality,chromosome-level genome assembly of sika deer and measured the correlation between tannin intake and RNA expression in 15 tissues through 180 experiments.Comparative genome analyses showed that the UGT and CYP gene families are functionally involved in the adaptation of sika deer to high-tannin food,especially the expansion of the UGT family 2 subfamily B of UGT genes.The first chromosome-level assembly and genetic characterization of the tolerance to a highly toxic diet suggest that the sika deer genome may serve as an essential resource for understanding evolutionary events and tannin adaptation.Our study provides a paradigm of comparative expressive genomics that can be applied to the study of unique biological features in non-model animals. | Xiumei Xing Cheng Ai Tianjiao Wang Yang Li Huitao Liu Pengfei Hu Guiwu Wang Huamiao Liu Hongliang Wang Ranran Zhang Junjun Zheng Xiaobo Wang Lei Wang Yuxiao Chang Qian Qian Jinghua Yu Lixin Tang Shigang Wu Xiujuan Shao Alun Li Peng Cui Wei Zhan Sheng Zhao Zhichao Wu Xiqun Shao Yimeng Dong Min Rong Yihong Tan Xuezhe Cui Shuzhuo Chang Xingchao Song Tongao Yang Limin Sun Yan Ju Pei Zhao Huanhuan Fan Ying Liu Xinhui Wang Wanyun Yang Min Yang Tao Wei Shanshan Song Jiaping Xu Zhigang Yue Qiqi Liang Chunyi Li Jue Ruan Fuhe Yang | 2023 | Genomics, Proteomics & Bioinformatics2023，21，1： | 1 |
| 5 | Automatic model selection for one-class SVM 显示文摘 | Chang Qun Wang Xiaolong Lin Yimeng | 2007 | International Journal of Soft Computing2007，2，2： | 1 |
| 6 | Malicious web content detection by machine learning显示文摘 | Yung-Tsung Hou Yimeng Chang Tsuhan Chen Chi-Sung Laih Chia-Mei Chen | 2010 | Expert Systems with Applications2010，37，： | 1 |
| 7 | Temporal and Spatial Distribution Characteristics of Tornadoes in Liaoning Province and Countermeasures显示文摘Based on the data of tornadoes in Liaoning Province from 1951 to 2005,the spatial and temporal distribution characteristics of tornadoes were analyzed by means of moving average,Daniel trend test and other methods.The results show that the frequency of tornadoes in coastal areas was obviously higher than that in land.Tornadoes mainly occurred in the central plains,the coastal areas of Liaodong Peninsula and the junction of plain and sea.The frequency of tornadoes was the highest in the 1980s and the lowest in the 1990s,and suddenly increased in 2005.The occurrence of tornadoes had an obvious seasonal change.They mainly happened in summer,peaking in September.During a day,most of them appeared from 13:00 to 21:00,and lasted for only a few minutes to dozens of minutes.The frequency of tornadoes showed a significant downward trend during 1991-2000 and a significant upward trend during 1961-1970 and 2001-2005.There were eight serious tornadoes in the 55 years,among which the tornado occurring in 1988 was the severest,and the number of deaths caused by the tornado in 1969 was the largest. | Haiyan SHU Xiaotong YANG Yimeng CHEN Qian TAO Zhenyu ZHAO Xiangyi CHANG | 2022 | Meteorological and Environmental Research2022，13，6： | 0 |
| 8 | Multi-channel EEG-based emotion recognition in the presence of noisy labels显示文摘A large number of deep learning classification methods for emotion recognition tasks based on electroencephalogram(EEG)have achieved excellent performance,and it is implicitly assumed that all labels are correct.However,humans have natural bias,subjectiveness,and inconsistencies in their judgment,which would lead to noisy labels for the EEG emotion state.To this end,we propose a framework for multi-channel EEG-based emotion recognition in the presence of noisy labels.The proposed noisy labels classification method is based on the capsule network using a joint optimization strategy(JO-CapsNet)until convergence.Specifically,the network parameters are updated based on the loss function of the capsule network,and the pseudo label is updated by predicting the existence possibility of the class label based on the output of the capsule network.In this way,the alternate updating strategy can promote each other to correct the noisy labels.Experimental results demonstrate the advantage of our method. | Chang LI Yimeng HOU Rencheng SONG Juan CHENG Yu LIU Xun CHEN | 2022 | Science China(Information Sciences)2022，65，4： | 0 |
| 9 | Ultra-high temperature tolerant flexible transparent electrode with embedded silver nanowires bundle micromesh for electrical heater显示文摘To realize high performance flexible transparent electronics with extreme environmental adaptivity,Ag nanowires(Ag NWs)electrodes should simultaneously meet the requirements of high-temperature tolerance,chemical and mechanical robustness.Herein,a scalable Ag NWs bundle micro-meshes embedded in polyimide(Ag BMs/ePI)conducting film via a facile spray coating and transfer method is reported.Due to the synergistic effect of bundle micromesh and embedded architecture,the Ag BMs/ePI electrode exhibits high thermal stability(370℃ and 400℃ under ambient and nitrogen atmosphere conditions,respectively),low sheet resistance variation(<4%),good corrosion and deformation resistance.As an electrical heater,the Ag BMs/ePI can achieve~204℃ with the fast thermal response time of~8 s at 8 V,and exhibits good heating stability under bent condition.This work offers a promising platform for the emerging flexible transparent electronics to adapt extreme environments,especially for those devices which require high-temperature processing. | Bowen Sun Ruixue Xu Xu Han Jing Xu Wang Hong Yimeng Xu Zhiwei Fu He Zhu Xin Sun Jiangxin Wang Peng Cui Jingjing Chang Jiaqing Xiong Kai Qian | 2022 | npj Flexible Electronics2022，6，1： | 0 |
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