| Disambiguation-free partial label learning ML Zhang, F Yu, CZ Tang IEEE Transactions on Knowledge and Data Engineering 29 (10), 2155-2167, 2017 | 219 | 2017 |
| Confidence-rated discriminative partial label learning CZ Tang, ML Zhang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 98 | 2017 |
| 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 Advances in Neural Information Processing Systems 35, 5628-5640, 2022 | 10 | 2022 |
| Semi-supervised learning with data augmentation for tabular data J Fang, C Tang, Q Cui, F Zhu, L Li, J Zhou, W Zhu Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
| Interpreting model predictions with constrained perturbation and counterfactual instances JP Fang, J Zhou, Q Cui, CZ Tang, LF Li International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022 | 4 | 2022 |
| Alleviating Matching Bias in Marketing Recommendations J Fang, Q Cui, G Zhang, C Tang, L Gu, L Li, J Gu, J Zhou, F Wu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Difference-in-differences meets tree-based methods: heterogeneous treatment effects estimation with unmeasured confounding C Tang, H Wang, X Li, Q Cui, L Li, J Zhou International Conference on Machine Learning, 33792-33803, 2023 | 2 | 2023 |
| Invariant Graph Learning for Causal Effect Estimation Y Sui, C Tang, Z Chu, J Fang, Y Gao, Q Cui, L Li, J Zhou, X Wang Proceedings of the ACM on Web Conference 2024, 2552-2562, 2024 | 1 | 2024 |
| Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations J Fang, G Zhang, Q Cui, C Tang, L Gu, L Li, J Gu, J Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 11944 …, 2024 | 1 | 2024 |
| GINT: A Generative Interpretability method via perturbation in the latent space C Tang, Q Cui, L Li, J Zhou Expert Systems with Applications 232, 120570, 2023 | 1 | 2023 |
| Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding YL Zhang, C Tang, L Yu, J Zhou, L Li, Q Cui, F Fan, L Jiang, X Zhao Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
| FAST: a fused and accurate shrinkage tree for heterogeneous treatment effects estimation J Gu, C Tang, H Yan, Q Cui, L Li, J Zhou Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay J Zhou, C Tang, Q Cui, Y Ding, L Li, F Wu Companion Proceedings of the ACM Web Conference 2023, 447-451, 2023 | | 2023 |
| AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models Q Cui, Q Shi, H Qian, C Tang, X Li, Y Zhao, T Jiang, L Li, J Zhou Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | | 2021 |
| Invariant Graph Learning for Treatment Effect Estimation from Networked Observational Data Y Sui, C Tang, Z Chu, J Fang, Y Gao, Q Cui, L Li, JUN ZHOU, X Wang The Web Conference 2024, 0 | | |
