受强制性开放获取政策约束的文章 - Qihao(Joe) Shi了解详情
无法在其他位置公开访问的文章：6 篇
Location driven influence maximization: Online spread via offline deployment
Q Shi, C Wang, J Chen, Y Feng, C Chen
Knowledge-Based Systems 166, 30-41, 2019
强制性开放获取政策： 国家自然科学基金委员会
Efficient diversified influence maximization with adaptive policies
C Wang, Q Shi, W Xian, Y Feng, C Chen
Knowledge-Based Systems 213, 106692, 2021
强制性开放获取政策： 国家自然科学基金委员会
Profit maximization for competitive social advertising
Q Shi, C Wang, D Ye, J Chen, S Zhou, Y Feng, C Chen, Y Huang
Theoretical Computer Science 868, 12-29, 2021
强制性开放获取政策： 国家自然科学基金委员会
Adversarial gradient-based meta learning with metric-based test
Y Zhang, C Wang, Q Shi, Y Feng, C Chen
Knowledge-Based Systems 263, 110312, 2023
强制性开放获取政策： 国家自然科学基金委员会
Efficient influence spread management via budget allocation at community scale
C Wang, Y Zhang, Q Shi, Y Feng, C Chen
Expert Systems with Applications 175, 114814, 2021
强制性开放获取政策： 国家自然科学基金委员会
Adaptive Seed Minimization for Diversified Influence Maximization
Y Zhang, Q Chen, J Shen, Q Shi, C Wang
2022 5th International Conference on Data Science and Information Technology …, 2022
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：9 篇
Samwalker: Social recommendation with informative sampling strategy
J Chen, C Wang, S Zhou, Q Shi, Y Feng, C Chen
The World Wide Web Conference, 228-239, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, 国家自然科学基 …
Fast adaptively weighted matrix factorization for recommendation with implicit feedback
J Chen, C Wang, S Zhou, Q Shi, J Chen, Y Feng, C Chen
Proceedings of the AAAI Conference on artificial intelligence 34 (04), 3470-3477, 2020
强制性开放获取政策： 国家自然科学基金委员会
Adaptive influence blocking: Minimizing the negative spread by observation-based policies
Q Shi, C Wang, D Ye, J Chen, Y Feng, C Chen
2019 IEEE 35th international conference on data engineering (ICDE), 1502-1513, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, 国家自然科学基 …
Social recommendation based on users’ attention and preference
J Chen, C Wang, Q Shi, Y Feng, C Chen
Neurocomputing 341, 1-9, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, 国家自然科学基 …
Post and repost: A holistic view of budgeted influence maximization
Q Shi, C Wang, J Chen, Y Feng, C Chen
Neurocomputing 338, 92-100, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, 国家自然科学基 …
SamWalker++: Recommendation with informative sampling strategy
C Wang, J Chen, S Zhou, Q Shi, Y Feng, C Chen
IEEE Transactions on Knowledge and Data Engineering, 2021
强制性开放获取政策： 国家自然科学基金委员会
CDR: Conservative doubly robust learning for debiased recommendation
Z Song, J Chen, S Zhou, Q Shi, Y Feng, C Chen, C Wang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
DGE: Deep generative network embedding based on commonality and individuality
S Zhou, X Wang, J Bu, M Ester, P Yu, J Chen, Q Shi, C Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6949-6956, 2020
强制性开放获取政策： 国家自然科学基金委员会
Robust sequence networked submodular maximization
Q Shi, B Fu, C Wang, J Chen, S Zhou, Y Feng, C Chen
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15100 …, 2023
强制性开放获取政策： 国家自然科学基金委员会
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