Suod: Accelerating large-scale unsupervised heterogeneous outlier detection Y Zhao, X Hu, C Cheng, C Wang, C Wan, W Wang, J Yang, H Bai, Z Li, ... Proceedings of Machine Learning and Systems 3, 463-478, 2021 | 71 | 2021 |
Managing privacy in the digital economy C Wang, N Zhang, C Wang Fundamental Research 1 (5), 543-551, 2021 | 43 | 2021 |
Inferring multi-stage risk for online consumer credit services: An integrated scheme using data augmentation and model enhancement J Zhou, C Wang, F Ren, G Chen Decision Support Systems 149, 113611, 2021 | 30 | 2021 |
A temporal consistency method for online review ranking C Wang, G Chen, Q Wei Knowledge-Based Systems 143, 259-270, 2018 | 21 | 2018 |
Calibration of voting-based helpfulness measurement for online reviews: an iterative bayesian probability approach X Guo, G Chen, C Wang, Q Wei, Z Zhang INFORMS Journal on Computing 33 (1), 246-261, 2021 | 18 | 2021 |
A review selection method for finding an informative subset from online reviews J Zhang, C Wang, G Chen INFORMS Journal on Computing 33 (1), 280-299, 2021 | 16 | 2021 |
How “small” reflects “large”?—Representative information measurement and extraction G Chen, C Wang, M Zhang, Q Wei, B Ma Information Sciences 460, 519-540, 2018 | 10 | 2018 |
Transboost: A boosting-tree kernel transfer learning algorithm for improving financial inclusion Y Sun, T Lu, C Wang, Y Li, H Fu, J Dong, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12181 …, 2022 | 7 | 2022 |
Suod: A scalable unsupervised outlier detection framework Y Zhao, X Hu, C Cheng, C Wang, C Xiao, Y Wang, J Sun, L Akoglu arXiv preprint arXiv:2003.05731, 2020 | 4 | 2020 |
Personalized promotion recommendation: A dynamic adaptation modeling approach C Wang, X Guo, G Liu, G Chen | 4 | 2020 |
Personalized promotion recommendation through consumer experience evolution modeling C Wang, G Chen, Q Wei, G Liu, X Guo Fuzzy Techniques: Theory and Applications: Proceedings of the 2019 Joint …, 2019 | 4 | 2019 |
大数据情境下的数据完备化: 挑战与对策 陈松蹊, 毛晓军, 王聪 管理世界 38 (1), 196-207, 2022 | 2 | 2022 |
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data H Yuan, J Xu, C Wang, Z Yang, C Wang, K Yin, Y Yang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
Training Personalized Recommender Systems with Biased Data: A Joint Likelihood Approach to Modeling Consumer Self-selection Behaviors Y Shi, C Wang, X Guo, G Chen | 1 | 2021 |
How perceived personalities of earlier contributors influence the content generation on online knowledge-sharing platforms? Y Feng, C Wang, Q Shen | 1 | 2021 |
A type-2 fuzzy review topic-based model for personalized recommendation C Wang, Y Ma, Y Shi, G Chen Electronic Commerce Research, 1-23, 2024 | | 2024 |
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks J Liao, W Fu, C Wang, Z Wei, J Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13763 …, 2024 | | 2024 |
Theory-driven Bilateral Dynamic Preference Learning for Person and Job Match: A Process-oriented Multi-step Multi-objective Method X Shi, C Wang, Q Wei | | 2023 |
Modeling silent behavior for synthesizing analysts’ earnings forecasts: a joint likelihood approach E Jin, C Wang, K Guo, X Guo, B Ke | | 2023 |
Personalized Recommendation through Disentangled Representation Learning of Consumers’ Multiple Digital Footprints Y Shi, C Wang, X Guo, G Chen | | 2022 |