| Distributed deep forest and its application to automatic detection of cash-out fraud YL Zhang, J Zhou, W Zheng, J Feng, L Li, Z Liu, M Li, Z Zhang, C Chen, ... ACM Transactions on Intelligent Systems and Technology 10 (5), 2019 | 83 | 2019 |
| Anomaly Detection with Partially Observed Anomalies YL Zhang, L Li, J Zhou, X Li, ZH Zhou WWW '18 Companion Proceedings of the The Web Conference 2018, 639-646, 2018 | 74 | 2018 |
| POSTER: A PU Learning based System for Potential Malicious URL Detection YL Zhang, L Li, J Zhou, X Li, Y Liu, Y Zhang, ZH Zhou Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 43 | 2017 |
| Multi-Instance Learning with Key Instance Shift YL Zhang, ZH Zhou Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 25 | 2017 |
| SAFE: Scalable automatic feature engineering framework for industrial tasks Q Shi, YL Zhang, L Li, X Yang, M Li, J Zhou 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1645-1656, 2020 | 22 | 2020 |
| A time attention based fraud transaction detection framework L Li, Z Liu, C Chen, YL Zhang, J Zhou, X Li arXiv preprint arXiv:1912.11760, 2019 | 12 | 2019 |
| Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding C Tang, H Wang, X Li, Q Cui, YL Zhang, F Zhu, L Li, J Zhou, L Jiang NeurIPS 2022, 2022 | 9 | 2022 |
| Constraint-Adaptive Rule Mining in Large Databases M Li, YL Zhang, Q Shi, X Yang, Q Cui, L Li, J Zhou Proceeding of the 26th International Conference on Database Systems for …, 2021 | 8 | 2021 |
| An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset M Li, L Yu, YL Zhang, X Huang, Q Shi, Q Cui, X Yang, L Li, J Zhou, W Zhu, ... Proceedings of the 31st ACM International Conference on Information and …, 2022 | 7 | 2022 |
| aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots K Xu, C Fu, X Zhang, C Chen, YL Zhang, W Rong, Z Wen, J Zhou, Y Qiao The 29th ACM International Conference on Information and Knowledge …, 2020 | 6 | 2020 |
| Interpretable MTL from Heterogeneous Domains using Boosted Tree YL Zhang, L Li Proceedings of the 28th ACM International Conference on Information and …, 2019 | 6 | 2019 |
| A graph attention network model for GMV forecast on online shopping festival Q Yu, S Yang, Z Zhang, YL Zhang, B Hu, Z Liu, K Huang, X Zhong, J Zhou, ... Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2021 | 3 | 2021 |
| Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression YL Zhang, J Zhou, Q Shi, L Li Expert Systems with Applications 213, 118931, 2023 | 2 | 2023 |
| A classification based ensemble pruning framework with multi-metric consideration YL Zhang, Q Shi, M Li, X Yang, L Li, J Zhou Intelligent Systems and Applications: Proceedings of the 2021 Intelligent …, 2022 | 2 | 2022 |
| Treatment Effect Estimation across Domains YX Sun, YL Zhang, W Wang, L Li, J Zhou Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| FINRule: Feature Interactive Neural Rule Learning L Yu, M Li, YL Zhang, L Li, J Zhou Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| A Framework for Detecting Frauds from Extremely Few Labels YL Zhang, YX Sun, F Fan, M Li, Y Zhao, W Wang, L Li, J Zhou, J Feng Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 1 | 2023 |
| A Backcasting Framework for Approximating Macro-Outcome Via Micro-Treatment YL Zhang, Z Zhu, B Chen, J Wei, Z Liu, T Xu, L Li, Z Zhang, J Zhou Available at SSRN 4494664, 2023 | 1 | 2023 |
| A Task-Aware Attention-Based Method for Improved Meta-Learning Y Zhang, X Yang, F Zhu, YL Zhang, M Li, Q Shi, L Li, J Zhou Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2022 | 1 | 2022 |
| Automatic knowledge fusion in transferrable networks for semantic text matching C Chen, YL Zhang, M Qiu, B Wu, L Wang, L Li, J Zhou Companion Proceedings of the Web Conference 2020, 73-74, 2020 | 1 | 2020 |
Jun ZhouAnt GroupVerified email at antfin.com
