Search

Your search keyword '"Li, Qingsong"' showing total 1,248 results
Start Over Author "Li, Qingsong"
1,248 results on '"Li, Qingsong"'

3. Pareto Invariant Representation Learning for Multimedia Recommendation

Author

Huang, Shanshan, Li, Haoxuan, Li, Qingsong, Zheng, Chunyuan, and Liu, Li

Subjects
Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

Multimedia recommendation involves personalized ranking tasks, where multimedia content is usually represented using a generic encoder. However, these generic representations introduce spurious correlations that fail to reveal users' true preferences. Existing works attempt to alleviate this problem by learning invariant representations, but overlook the balance between independent and identically distributed (IID) and out-of-distribution (OOD) generalization. In this paper, we propose a framework called Pareto Invariant Representation Learning (PaInvRL) to mitigate the impact of spurious correlations from an IID-OOD multi-objective optimization perspective, by learning invariant representations (intrinsic factors that attract user attention) and variant representations (other factors) simultaneously. Specifically, PaInvRL includes three iteratively executed modules: (i) heterogeneous identification module, which identifies the heterogeneous environments to reflect distributional shifts for user-item interactions; (ii) invariant mask generation module, which learns invariant masks based on the Pareto-optimal solutions that minimize the adaptive weighted Invariant Risk Minimization (IRM) and Empirical Risk (ERM) losses; (iii) convert module, which generates both variant representations and item-invariant representations for training a multi-modal recommendation model that mitigates spurious correlations and balances the generalization performance within and cross the environmental distributions. We compare the proposed PaInvRL with state-of-the-art recommendation models on three public multimedia recommendation datasets (Movielens, Tiktok, and Kwai), and the experimental results validate the effectiveness of PaInvRL for both within- and cross-environmental learning., Comment: ACM MM 2023 full paper

Published
2023
Full Text
View/download PDF

21. Effective Integration of Ideological and Political Education and Student Management in Colleges and Universities Based on the Coupled Coordination Model

Author

Li Qingsong and Shu Xiaoqin

Subjects
fiahp method, pull-out gear method, coupling coordination degree, ideological and political education, 97u10, Mathematics, QA1-939
Abstract

In keeping with contemporary demands, the integration of political and ideological education with student management empowers students to actively embrace the establishment of a superior ideological culture in a more open and laid-back learning environment. The creation of an extensive index system enables the integration and collaboration of political and ideological instruction and student management duties in colleges and universities. The theory of system coupling is used to discuss the level of synergy and consistency of system development. The subjective empowerment method uses the FIAHP technique to determine the subjective weight of the standard. The objective weight of the indicator is determined by using the pull-out grade method. The LPE-SMW coupling coordination model is constructed by combining the weights of the two indexes to solve the weights. The coupling coordination level is evaluated and examined in order to confirm the efficacy of the coupling coordination model in examining the development and integration between political and ideological education and student management in colleges and universities. The coupling degree of coordination in the eastern region is approximately 0.65, and the degree of coupling coordination of the LPE-SMW in the central region has a mean yearly increase of 0.43% over the 20 years, according to the results of the smoothness test of each variable of the LPE-SMW linking coordination degree model, which shows differences at the 1% level. The linking coordination model offers a fresh approach to the creation of successful integration between political and ideological education and student management in higher education by offering a thorough examination of the relationship between the two.

Published
2024
Full Text
View/download PDF

24. The Role of Hyperdense Basilar Artery Sign in Predicting Outcome of Acute Basilar Artery Occlusion within Twelve Hours of Onset

Author

Liu, Xinfeng, Wang, Guoping, Nogueira, Raul G., Qureshi, Adnan I., Baxter, Blaise W., Xu, Gelin, Yan, Xiaoyan, Gao, Feng, Jiao, Liqun, Qun, Sen, Wang, Zi, Chen, Juan, Ye, Ruidong, Zhang, Yongwei, Wu, Cangjun, Li, Rui, Fang, Chuanqing, Deng, Kexue, Yuan, Shuya, Zheng, Menglong, Chen, Hongbing, Zhang, Guang, Bao, Wei, Han, Hongxing, Yuan, Guangxiong, Wen, Changming, Zhou, Peiyang, Chen, Wenhuo, Zeng, Guoyong, Xu, Hui, Li, Yuwen, Ma, Zhengfei, Yu, Chuanqing, Su, Junfeng, Zhou, Zhiming, Chen, Zhongjun, Liao, Geng, Sun, Yaxuan, Ren, Youquan, Zhang, Hui, Chen, Jie, Yue, Xincan, Ma, Xiuyao, Xiao, GuoDong, Wang, Li, Liu, Rui, Yang, Weimin, Liu, Wenhua, Liu, Yong, Guo, Fuqiang, Cai, Xueli, Yin, Bo, Li, Jinglun, Fang, Pu, Shen, Chunyun, Ni, Chuyuan, Wang, Hui, Liu, Liang, Li, Kai, Cui, Tao, Wang, Hao, Gao, Jun, Yi, Tingyu, Wang, Youmeng, Wang, Tao, Shi, Xueying, Cao, Zhihua, Long, Chen, Chen, Li, Zhang, Chi, Zhai, Gichao, Zhang, Xia, Liang, Xiushan, Li, Qingsong, Meng, Yuhan, Tao, Jianbo, Zhu, Zhenzhu, Cheng, Yuedong, Zhang, Meng, Zhou, Tong, Wang, Jing, Zhang, Yali, Hu, Xiaohui, Tao, Chunrong, Yin, Yamei, Liu, Huanhuan, Tan, Xianhong, Hou, Siyang, Xie, Sanpin, Huo, Longwen, Zhu, Yuyou, Gong, Daokai, and Hu, Wei

Published
2024
Full Text
View/download PDF

45. Design and On-Orbit Verification of Satellite-Borne AIS

Author

Zhang, Chi, Wang, Tao, Liu, Shuai, Cai, Yawen, Li, Qingsong, Hou, Xutao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Zhang, Baoju, editor

Published
2022
Full Text
View/download PDF

46. Attribution analysis of different driving forces on vegetation and streamflow variation in the Jialing River Basin, China

Author

Li Qingsong, Gao Huishan, Chai Shan, He Zongyu, and Ji Guangxing

Subjects
streamflow variation, vegetation variation, attribution analysis, budyko equation, jialing river basin, Geology, QE1-996.5
Abstract

As an important tributary of the Yangtze River basin, the Jialing River Basin (JRB) has a variable topography and fragile ecological environment. Under the influence of climate warming and human activities, the runoff and vegetation cover of the area are undergoing significant changes. For evaluating the impact of different factors on vegetation and streamflow variation in the JRB, the univariate linear regression method was employed to analyze the variation trend of streamflow and vegetation, and a heuristic segmentation algorithm was applied for identifying the mutation year of streamflow and NDVI time-series data in the JRB. Then, the influence degree of different factors on streamflow variation in the JRB was calculated by the Budyko equation and elastic coefficient method. Finally, the contribution rates of different factors to vegetation variation in the JRB were calculated by the multiple linear regression method. The results indicated that the mutation year of streamflow and NDVI time series data were 1985 and 2006, respectively. The contribution rates of climate factors and human activities to streamflow change in the JRB were 42.7 and 57.3%, respectively. The contribution rates to vegetation change were 28.89 and 71.11%, respectively. In general, human activities are the main driving force leading to runoff and vegetation changes in the JRB. This study can provide a theoretical basis for the ecological environment protection and water resources management of the JRB.

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results