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Qihao(Joe) Shi
Qihao(Joe) Shi
在 zju.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
612019
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
602020
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
382019
Social recommendation based on users’ attention and preference
J Chen, C Wang, Q Shi, Y Feng, C Chen
Neurocomputing 341, 1-9, 2019
372019
Social recommendation with missing not at random data
J Chen, C Wang, M Ester, Q Shi, Y Feng, C Chen
2018 IEEE International Conference on Data Mining (ICDM), 29-38, 2018
352018
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
322019
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
222019
Efficient diversified influence maximization with adaptive policies
C Wang, Q Shi, W Xian, Y Feng, C Chen
Knowledge-Based Systems 213, 106692, 2021
152021
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
122021
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
102020
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
82021
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
62023
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
62023
Distributionally Robust Graph-based Recommendation System
B Wang, J Chen, C Li, S Zhou, Q Shi, Y Gao, Y Feng, C Chen, C Wang
Proceedings of the ACM on Web Conference 2024, 3777-3788, 2024
42024
Complementary influence maximization under comparative linear threshold model
W Yang, Q Shi, J Yan, C Wang, M Song, M Wu
Expert Systems with Applications 238, 121826, 2024
32024
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
12021
Robust misinformation prevention with uncertainty on suspicious nodes
Q Shi, W Yang, C Wang, M Song
Neurocomputing 577, 127344, 2024
2024
ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation
S Lin, S Zhou, J Chen, Y Feng, Q Shi, C Chen, Y Li, C Wang
ACM Transactions on Information Systems, 2024
2024
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
2023
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing
Q Shi, W Tian, W Yang, M Xue, C Wang, M Wu
arXiv preprint arXiv:2302.09620, 2023
2023
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