(09/2012-07/2017) Institute of Computing Technology, Chinese Academy of Sciences, China
Ph.D in Computer Science
(09/2008-07/2011) Institute of Automation, Chinese Academy of Sciences, China
M.Sc. in Computer Science
(09/2004-07/2008) Zhejiang University of Technology, Hangzhou, China
B.Sc. in Computer Science and Engineering
(09/2020-) Insitute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Associate Professor
(07/2017-09/2020) Insitute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Assistant Professor
(02/12-07/12) Tuanzhi Technology, Beijing, China
Chief Development Engineer
(07/11-02/12) Alibaba Co., Ltd., Hangzhou, China
Development Engineer
Jiangli Shao, Yongqing Wang, Hao Gao, Boshen Shi, Huawei Shen, Yangyang Li, Xueqi Cheng. AsyLink: User Identity Linkage from Text to Geo-location via Sparse Labeled Data. Neurocomputing. 2023, 515: pp. 174-184.
[doi]
Guoxin Chen, Yongqing Wang, Jiangli Shao, Boshen Shi, Huawei Shen, Xueqi Cheng. InDNI: An Infection Time Independent Method for Diffusion Network Inference. Information Retrieval. 2023.
[pdf]
Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng. User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function. Entropy. 2022, 24(11): 1603.
[doi]
Yongqing Wang, Haopeng Zhang, Hao Gu, Lingling Yi, Huawei Shen, Xueqi Cheng. CUBC: A Generalized Representation Learning Method for User Behavioral Sequence. NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice (SSLNIPS). 2021.
[pdf]
Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng. UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. IEEE International Conference on Big Data (IEEE Bigdata). 2021.
Boshen Shi, Yongqing Wang, Huawei Shen, Xueqi Cheng. Aligning Networks by Maximizing Topological Consistency between Neighborhoods. Communications in Computer and Information Science. 2021.
Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng. Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. Proceedings of the 30th ACM Int’l Conf. on Information and Knowledge Management (CIKM). 2021.
[doi]
Zhongying Zhao, Xueliang Zhang, Hui Zhao, Chao Li, Maoguo Gong, Yongqing Wang. HetNERec: Heterogeneous network embedding based recommendation. Knowledge-Based Systems. 2020.
[doi]
Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng. GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. The 2020 IEEE International Conference on Knowledge Graph (ICKG). 2020: pp. 412-419.
史铂深，王永庆，高浩，杨亚茹，沈华伟，程学旗。基于图注意力网络的用户对齐。第二十六届全国信息检索学术会议。 陕西西安，中国，2020。
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.
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.
Shanshan Lyu, Yongqing Wang, Wentao Ouyang, Huawei Shen and Xueqi Cheng. What We Vot for? Answer Selection from User Expertise View in Community Question Answering. The 2019 World Wide Web Conference (WWW-19). San Francisco, USA, 2019.
高浩，王永庆，沈华伟，程学旗。基于传递信息的表示学习的锚链接预测。第二十四届全国信息检索学术会议。 广西桂林，中国，2018。
杨亚茹，王永庆，张志斌，刘悦。基于多元信息融合的用户关联模型。第二十四届全国信息检索学术会议。 广西桂林，中国，2018。
王新乐，廖华明，王永庆，刘悦，俞晓明，程学旗。基于多维度特征的主题标签流行度预测。第二十四届全国信息检索学术会议。 广西桂林，中国，2018。
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.
[doi] [pdf] [bib] [code] [demo]
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.
[doi] [arxiv] [pdf] [bib] [code] [data:memetracker]
Yongqing Wang, Huawei Shen, Xueqi Cheng. Predicting forward preference in information propagation. Journal of Chinese Information Processing, 2016, 30(5): 57-64.
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.
[acm] [arxiv] [pdf] [bib] [code]
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.
Yongqing Wang, Wenji Mao, Daniel Dajun Zeng and Ning Bao. Boosting rank with predictable training error. The IEEE International Conference on Intelligence and Security Informatics (ISI-11), Beijing, China, 2011, pp. 407-409.
Yongqing Wang and Daniel Dajun Zeng. Feature ranking for total ordering ranking problems. The 2010 International Conference on Electronic-Business Intelli60gence (ICEBI-10), Kunming, China, 2010, pp. 212-218.
Yongqing Wang and Wenji Mao. FeatureRank: a non-linear listwise approach with clustering and boosting. The IEEE 2nd Youth Conference on Information, Computing and Telecommunications, Beijing, China, 2010, pp. 73-76.
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.
Yongqing Wang, Huawei Shen, Shenghua Liu and Xueqi Cheng. Learning user-specific latent influence and susceptibility from information cascades. Presented at the 29th AAAI Conference on Artificial Intelligence (AAAI-15). Austin, USA, 2015. [pdf]
Yongqing Wang, Wenji Mao, Daniel Dajun Zeng and Ning Bao. Boosting rank with predictable traing error. Presented at the IEEE International Conference on Intelligence and Security Informatics (ISI-11), Beijing, China, 2011.
Yongqing Wang and Daniel Dajun Zeng. Feature ranking for total ordering ranking problems. Presented at the 2010 International Conference on Electronic-Business Intelligence (ICEBI-10), Kunming, China, 2010.
Yongqing Wang and Wenji Mao. FeatureRank: a non-linear listwise approach with clustering and boosting. Presented at the IEEE 2nd Youth Conference on Information, Computing and Telecommunications, Beijing, China, 2010.
I'm an Associate Professor in Institute of Computing Technology, Chinese Academy of Sciences. I complete my Ph.D degree from Institute of Computing Technology, Chinese Academy of Sciences, advised by Xueqi Cheng. Now I'm in charge of the researches on Cross-network Analysis on Social Matters in Data Intelligence System Research Center.
Organization:
Institute of Computing Technology,
Chinese Academy of Sciences
Address:
No.6 Kexueyuan South Road,
Haidian district, Beijing, China, 100190
Email:
Github
https://github.com/Allen517