1. Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu, Guixian Zhang: Learning instrumental variable representation for debiasing in recommender systems. Neural Networks 193: 107977 (2026), CCF B类期刊

2. Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang: Toward fair graph neural networks via dual-teacher knowledge distillation. Neural Networks 194: 108184 (2026), CCF B类期刊

3. Ludan He, Debo Cheng, Guixian Zhang, Shichao Zhang: Leveraging long-range nodes in multi-view graph contrastive learning. Inf. Fusion 122: 103186 (2025), 中科院一区

4. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang: Deconfounding representation learning for mitigating latent confounding effects in recommendation. Knowl. Inf. Syst. 67(7): 5999-6020 (2025), CCF B类期刊

5. Zhirong Huang, Yuxuan Hu, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang, Shichao Zhang: Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. Knowl. Based Syst. 329: 114345 (2025), 中科院一区

6. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang: Disentangled contrastive learning for fair graph representations. Neural Networks 181: 106781 (2025), CCF B类期刊

7. Shichao Zhang, Penghui Xi, Mengqi Jiang, Guixian Zhang, Debo Cheng: Latent Representation Learning for Attributed Graph Anomaly Detection. ACM Trans. Knowl. Discov. Data 19(7): 127:1-127:22 (2025), CCF B类期刊

8. Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le: Disentangled Representation Learning for Causal Inference With Instruments. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14078-14091 (2025), 中科院一区

9. Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng: Community-Centric Graph Unlearning. AAAI 2025: 18548-18556, CCF A类会议

10. Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang: Causality-Inspired Disentanglement for Fair Graph Neural Networks. IJCAI 2025: 637-645, CCF A类会议

11. Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang: Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. IJCAI 2025: 2955-2963, CCF A类会议

12. Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu: Hybrid Local Causal Discovery. IJCAI 2025: 5725-5733, CCF A类会议

13. Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le: Disentangled Representation Learning for Causal Inference With Instruments.IEEE Trans. Neural Networks Learn. Syst. 36(8): 14078-14091 (2025), 中科院一区

14. Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le: Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey.ACM Comput. Surv. 56(5): 127:1-127:37 (2024), 中科院一区

15. Chengyu Li, Debo Cheng, Guixian Zhang, Shichao Zhang: Contrastive learning for fair graph representations via counterfactual graph augmentation. Knowl. Based Syst. 305: 112635 (2024), 中科院一区

16. Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu: Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data.IEEE Trans. Neural Networks Learn. Syst. 35(8): 11542-11552 (2024), 中科院一区

17. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le: Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.AAAI 2024: 11480-11488, CCF A类会议

18. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le: Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.ICLR 2024, CAAI A类会议

19. Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang: A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. ICDM 2024: 71-80, CCF B类会议

20. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le: Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR 2024, CAAI A类会议

21. Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu: Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR 2024, CAAI A类会议

22. Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le: Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(9): 8823-8837 (2023), CCF A类期刊

23. Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu: Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6108-6120 (2023), 中科院一区

24. Guixian Zhang, Debo Cheng, Shichao Zhang: FPGNN: Fair path graph neural network for mitigating discrimination. World Wide Web (WWW) 26(5): 3119-3136 (2023), CCF B类期刊

25. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le: Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI 2023: 7122-7130, CCF A类会议

26. Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng: Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. ICDM 2023: 51-60, CCF B类会议

27. Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu: Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. 36(3): 1174-1196 (2022), CCF B类期刊

28. Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu: Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI 2022: 4843-4849, CCF A类会议