| 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 | 56 | 2021 |
| Managing privacy in the digital economy C Wang, N Zhang, C Wang Fundamental Research 1 (5), 543-551, 2021 | 34 | 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 | 24 | 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 | 15 | 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 | 14 | 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 | 9 | 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 | 5 | 2022 |
| Personalized promotion recommendation: A dynamic adaptation modeling approach C Wang, X Guo, G Liu, G Chen | 5 | 2020 |
| 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 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 | 1 | 2022 |
| 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 | | 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 |
| “大数据—小数据” 问题: 以小见大的洞察 陈国青， 张瑾， 王聪， 卫强， 郭迅华 管理世界, 2021 | | 2021 |
