长期从事社交媒体分析、可信推荐系统、算法安全评估等方面研究，在KDD、NeurIPS、CSCW、TKDE、CSUR等国际顶级学术会议或期刊上发表论文40余篇，谷歌学术引用2300余次，代表性论文如下：
期刊文章：
[1] Huawei Shen, Yuanhao Liu, Kaike Zhang, Qi Cao, Xueqi Cheng. The Rising Safety Concerns of Deep Recommender Systems. The Innovation. 2025. (IF: 25.7)
[2] Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng. Robust Recommender System: A Survey and Future Directions. ACM Computing Surveys. 2025. (IF: 28.0, Computer Science Theory & Methods rank 1/147)
[3] Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng. Graph Adversarial Immunization for Certifiable Robustness. IEEE Transactions on Knowledge and Data Engineering. 2024, 36(4): 1597-1610.
[4] Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng. Adversarial Camouflage for Node Injection Attack on Graphs. Information Sciences. 2023, 649: 119611. 
[5] Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng. Learning Diffusion Model-free and Efficient Influence Function for Influence Maximization from Information Cascades. Knowledge and Information Systems. 2021, 63(5): 1173-1196. 

会议文章：
[1] Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng. "I Know You Are Discriminatory!": Automated Substantiating for Individual Fairness Auditing of AI Systems. In Proceedings of the 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2025).
[2] Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng. Personalized Denoising Implicit Feedback for Robust Recommender System. In Proceedings of the ACM on Web Conference (WebConf 2025).
[3] Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen. PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. In Findings of the Association for Computational Linguistics: EMNLP 2024 (EMNLP Findings 2024).
[4] Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng. Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. In Proceedings of the 38th International Conference on Neural Information Processing Systems (NeurIPS 2024).
[5] Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen. Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. In Proceedings of the 18th ACM Conference on Recommender Systems (RecSys 2024).
[6] Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng. Dyted: Disentangled representation learning for discrete-time dynamic graph. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023).
[7] Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng. Popularity debiasing from exposure to interaction in collaborative filtering. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
[8] Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng. INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). 
[9] Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng. Single Node Injection Attack against Graph Neural Networks. Proceedings of the 30th International Conference on Information and Knowledge Management (CIKM 2021).
[10] Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng. Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. In Proceedings of the 13th International Conference on Web Search and Data Mining (WSDM 2020，WSDM近五年论文引用TOP40). 

专利：
[1] 程学旗, 曹婍, 沈华伟, 高金华, 刘盛华. 网络信息传播影响力度量方法、系统及影响力最大化方法