| 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 | 59 | 2019 |
| 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 | 55 | 2020 |
| Social recommendation based on users’ attention and preference J Chen, C Wang, Q Shi, Y Feng, C Chen Neurocomputing 341, 1-9, 2019 | 36 | 2019 |
| 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 | 33 | 2019 |
| 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 | 32 | 2019 |
| 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 | 32 | 2018 |
| 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 | 20 | 2019 |
| Efficient diversified influence maximization with adaptive policies C Wang, Q Shi, W Xian, Y Feng, C Chen Knowledge-Based Systems 213, 106692, 2021 | 14 | 2021 |
| 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 | 12 | 2021 |
| 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 | 9 | 2020 |
| 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 | 5 | 2021 |
| 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 | 4 | 2023 |
| 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 | 3 | 2023 |
| 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 | 1 | 2024 |
| Distributionally Robust Graph-based Recommendation System B Wang, J Chen, C Li, S Zhou, Q Shi, Y Gao, Y Feng, C Chen, C Wang arXiv preprint arXiv:2402.12994, 2024 | 1 | 2024 |
| 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 | 1 | 2021 |
| Robust misinformation prevention with uncertainty on suspicious nodes Q Shi, W Yang, C Wang, M Song Neurocomputing 577, 127344, 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 |
| 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 | | 2022 |
Can WangProfessor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
