| Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Z Sun, B He, M Ma, J Tang, Y Wang, C Ma, D Liu ICDM 2023, 2023 | 4 | 2023 |
| Offline imitation learning with variational counterfactual reasoning Z Sun, B He, J Liu, X Chen, C Ma, S Zhang NeurIPS 2023, 2023 | 3 | 2023 |
| Excimer laser model based on a temporal convolutional neural network Z Sun, X Han, X Wu, Z Feng Applied Optics 61 (2), 362-368, 2022 | 3 | 2022 |
| Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing B He, Y Weng, X Tang, Z Cui, Z Sun, L Chen, X He, C Ma KDD 2024, 2024 | 2 | 2024 |
| M TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling Z Sun, X Chen ICASSP 2024, 2024 | 2 | 2024 |
| Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck H Yang, Z Sun, H Xu, X Chen arXiv preprint arXiv:2405.15505, 2024 | 1 | 2024 |
| Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning H Gao, Z Sun, H Yang, X Chen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning J Tang, S Dai, Z Sun, X Chen, J Xu, W Yu, L Hu, P Jiang, H Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling Z Sun, Y Weng, X Tang, X He arXiv preprint arXiv:2408.11623, 2024 | | 2024 |
| OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction Y Weng, X Tang, Z Xu, F Lyu, D Liu, Z Sun, X He arXiv preprint arXiv:2408.08585, 2024 | | 2024 |
| Benchmarking for Deep Uplift Modeling in Online Marketing D Liu, X Tang, Y Qiao, M Liu, Z Sun, X He, Z Ming arXiv preprint arXiv:2406.00335, 2024 | | 2024 |
| Energy Control of Excimer Laser Based on Reinforcement Learning Z Sun, Z Feng, Y Zhou, G Liu, X Han Chinese Journal of Lasers 47 (9), 2020 | | 2020 |
| Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing Z Sun, D Liu, X Tang, Y Weng, X He | | |
Chen MaAssistant Professor, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
