| Controllable preference optimization: Toward controllable multi-objective alignment Y Guo, G Cui, L Yuan, N Ding, Z Sun, H Chen, B Sun, R Xie, J Zhou, Y Lin, ... arXiv preprint arXiv:2402.19085, 2024 | 31 | 2024 |
| Offline imitation learning with variational counterfactual reasoning Z Sun, B He, J Liu, X Chen, C Ma, S Zhang NeurIPS 2023, 2023 | 6 | 2023 |
| 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 | 5 | 2024 |
| 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 | 5 | 2023 |
| 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 | 3 | 2024 |
| M TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling Z Sun, X Chen ICASSP 2024, 2024 | 3 | 2024 |
| 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 |
| 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 KDD 2024, 2854-2865, 2024 | 2 | 2024 |
| OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction Y Weng, X Tang, Z Xu, F Lyu, D Liu, Z Sun, X He CIKM 2024, 2523-2533, 2024 | 1 | 2024 |
| End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling Z Sun, H Yang, D Liu, Y Weng, X Tang, X He Recsys 2024, 560-569, 2024 | 1 | 2024 |
| Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning H Gao, Z Sun, H Yang, X Chen KDD 2024, 839-850, 2024 | 1 | 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 | 1 | 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 | 1* | 2020 |
| ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization Y Zeng, X Cui, X Jin, G Liu, Z Sun, Q He, D Li, N Yang, J Hao, H Zhang, ... arXiv preprint arXiv:2502.05605, 2025 | | 2025 |
| Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing Z Sun, Q Han, M Zhu, H Gong, D Liu, C Ma arXiv preprint arXiv:2502.15697, 2025 | | 2025 |
| Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables Z Sun, B He, S Shen, Z Wang, Z Gong, C Ma, Q Qi, X Chen IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression A Wu, K Kuang, R Xiong, X Chen, Z Sun, F Wu, K Zhang arXiv preprint arXiv:2408.05428, 2024 | | 2024 |
| Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing Z Sun, D Liu, X Tang, Y Weng, X He DASFAA, 121-138, 2024 | | 2024 |
| Policy-aware Reward Modeling with Uncertainty-Gradient based Data Augmentation Z Sun, Y Guo, Y Lin, X Chen, Q Qi, X Tang, JR Wen The Thirteenth International Conference on Learning Representations, 0 | | |
Chen MaAssistant Professor, City University of Hong KongPotvrđena adresa e-pošte na cityu.edu.hk