2022年9月 — 今：中科院计算所，副研究员 

2020年7月 — 2022年9月：中科院计算所，特别研究助理

2015年9月 — 2020年7月：中国科学院大学，计算机学院，博士生 

2011年9月 — 2015年7月：中国人民大学，信息学院，本科生

期刊文章: 

[1] Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng. Location-aware convolutional neural networks for graph classification. Neural Networks. 2022, 155: 74-83. (IF: 9.7) 

[2] 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.  

[3] Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen. User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction. Data Intelligence. 2019, 1(2): 137-159. 

[4] 曹婍, 沈华伟, 高金华, 程学旗. 基于深度学习的流行度预测研究. 中文信息学报. 2021, 35(2): 1-18. 

[5] 王兆慧，沈华伟，曹婍，程学旗. 图分类研究综述. 软件学报. 2022, 33(1): 171-192. 

会议文章： 

[1] Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng. PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. In Proceedings of the 31st ACM Web Conference Companion (WWW 2022). 

[2] 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).  

[3] Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng. Conditional GANs with Auxiliary Discriminative Classifier. In Proceedings of the 39th International Conference on Machine Learning (ICML 2022). 

[4] Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng. Towards Powerful Graph Contrastive Learning without Negative Examples. In Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022). 

[5] 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). 

[6] Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng. Self-Supervised GANs with Label Augmentation. In Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021). 

[7] Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng. Adversarial Immunization for Certifiable Robustness on Graphs. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021).  

[8] Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng. Signed Bipartite Graph Neural Networks. In Proceedings of the 30th International Conference on Information and Knowledge Management (CIKM 2021).  

[9] Junjie Huang, Huawei Shen, Qi Cao, Cai Li, Xueqi Cheng. How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising. In Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021). 

[10] Bingbing Xu, Huawei Shen, Bingjie Sun, Rong An, Qi Cao, Xueqi Cheng. Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021). 

[11] 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).  

[12] Rong Yan, Huawei Shen, Qi Cao, Keting Cen, Li Wang. GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. In Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing (BigComp 2020, Best Paper Award). 

[13] Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng. Graph Wavelet Neural Network. In Proceedings of the International Conference on Learning Representation (ICLR 2019). 

[14] Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng. Graph Convolutional Neural Networks using Heat Kernel for Semi-supervised Learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). 

[15] Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng. Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. In Proceedings of the 2019 China Conference on Information Retrieval (CCIR 2019). 

[16] Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng. DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM 2017). 

[17] Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng. Predicting the Popularity of Online Content with Group-specific Models. In Proceedings of the 26th International Conference on World Wide Web Companion (WWW 2017). 

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. 

2021年 中国中文信息学会优秀博士学位论文提名奖 

2021年 中科院计算所“优秀研究人员” 

2020年 IEEE BigComp国际会议最佳论文奖 

2020年 北京市优秀博士毕业生 

2020年 中国科学院院长优秀奖