2020年9月 — 今：中科院计算所，副研究员 

2017年7月 — 2020年9月：中科院计算所，助理研究员 

2012年9月 — 2017年7月：中国科学院计算技术研究所，博士研究生 

2008年9月 — 2011年7月：中国科学院自动化研究所，硕士研究生 

2004年9月 — 2008年7月：浙江工业大学，软件学院，学士 

期刊文章: 

[1] Shanshan Lyu, Wentao Ouyang*, Yongqing Wang*, Huawei Shen and Xueqi Cheng. Truth Discovery by Claim and Source Embedding. IEEE Transactions on Knowledge and Data Engineering(TKDE). 2019.  

[2] Yongqing Wang, Wenji Mao, Daniel Dajun Zeng and Fen Xia. Listwise approaches based on features' ranking discovery. Frontiers of Computer Sciences, 2012, 6(6): 647-659. 

会议文章： 

[1] Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, and Xueqi Cheng. GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. The 11th IEEE International Conference on Knowledge Graph (ICKG-2020). Nanjing, China, 2020. 

[2] Yongqing Wang, Huawei Shen, Jinhua Gao and Xueqi Cheng. Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. The 2019 World Wide Web Conference (WWW-19). San Francisco, USA, 2019: pp. 3335-3341. 

[3] Shanshan Lyu, Yongqing Wang, Wentao Ouyang, Huawei Shen and Xueqi Cheng. What We Vote for? Answer Selection from User Expertise View in Community Question Answering. The 2019 World Wide Web Conference (WWW-19). San Francisco, USA, 2019: pp. 1198-1209. 

[4] Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao and Xueqi Cheng. Cascade dynamics modeling with attention-based recurrent neural network. The 26th International Joint Conference on Artificial Intelligence (IJCAI-17). Melbourne, Australia, 2017: pp. 2985-2991. 

[5] Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao and Xueqi Cheng. Marked temporal dynamics modeling based on recurrent neural network. The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-17). Jeju, South Kore, 2017: pp. 786-798. 

[6] Yongqing Wang, Huawei Shen, Xueqi Cheng. Predicting forward perference in information propagation. Journal of Chinese Information Processing, 2016, 30(5): 57-64. 

[7] Yongqing Wang, Huawei Shen, Shenghua Liu and Xueqi Cheng. Learning user-specific latent influence and susceptibility from information cascades. The 29th AAAI Conference on Artificial Intelligence (AAAI-15). Austin, USA, 2015: pp. 477-483. 

[1] 中国科学院青年创新促进会，2020-2024，80万元，项目负责人 

[2] 国家自然科学基金青年项目，基于用户表示学习的跨网络用户虚拟身份关联映射研究，2019/01-2021/12，25万，项目负责人 

[3] CCF-腾讯犀牛鸟基金项目，基于用户行为和属性数据的对抗式表达学习方法研究，2019/08-2020/10，15万，项目负责人 

[4] 国家重点研发计划，网络基因关系图谱存储和虚实映射技术研究，2016/03-2019/09，71万，项目负责人