Shuaiqiang Wang (王帅强) is currently a Principal Architect at Baidu Inc., leading the search ranking strategy groups that advance the ranking algorithms for the Baidu Search Engine. Previously, he was a Research Scientist and Senior Algorithm Engineer at JD inc. from 2017 to 2020, taking responsibility for the feed recommendation at JD.com. Before that, he worked as an Assistant Professor at the University of Manchester in the UK in 2017 and the University of Jyvaskyla in Finland from 2014 to 2017 respectively. Earlier, he served as an Associate Professor at Shandong University of Finance and Economics in China from 2011 to 2014, and a Postdoctoral Researcher at Texas State University in the USA from 2010 to 2011. He received Ph.D. and B.Sc. in Computer Science from Shandong University in 2009 and 2004 respectively. He visited Hong Kong Baptist University as an exchange doctoral student in 2009. Shuaiqiang served as Senior PC Member of IJCAI, and PC Member of WWW, SIGIR and WSDM in recent years. He is broadly interested in several research areas including information retrieval, recommender systems and data mining. He published over 50 papers in leading journals and conferences.

Our team is hiring! Please drop me a message via wangshuaiqiang [at] baidu.com if interested.

Recent Publications All Publications (DBLP) »

• NeurIPS'23 "Learning to Tokenize for Generative Retrieval", Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren. Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS).
• ICDM'23 "MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale", Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, and Dawei Yin. In Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM).
• CIKM'23 "I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval", Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM).
• KDD'23 "Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies", Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng. In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD).
• KDD'23 "S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data", Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin. In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD).
• ACL'23 "Boosting Event Extraction with Denoised Structure-to-Text Augmentation", Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin. In Findings of the Association for Computational Linguistics: ACL 2023.
• SIGIR'23"Graph Enhanced BERT for Query Understanding", Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang and Dawei Yin. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR Industry Track).
• ECML/PKDD'23"LtrGCN: Large-Scale Graph Convolutional Networks-based Learning to Rank for Web Search ", Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin. In Proceedings of the Machine Learning and Knowledge Discovery in Databases: European Conference 2023 (ECML/PKDD)
• TKDE'23 "COLTR: Semi-supervised Learning to Rank with Co-training and Over-parameterization for Web Search", Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin. IEEE Transactions on Knowledge and Data Engineering, 2023. Accepted
• TWEB'23 "Pre-trained Language Model based Retrieval and Ranking for Web Search",Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin. ACM Transactions on the Web (TWEB), 17(1): No.4, 2023.
• NeurIPS'22 "A Large Scale Search Dataset for Unbiased Learning to Rank", Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin. In Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), 2022. Accepted
• CIKM'22 "Approximated Doubly Robust Search Relevance Estimation", Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simu Gu, Dawei Yin. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), pp.3756–3765, Atlanta, Georgia, USA, 2022.
• SIGIR'22"Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking", Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu and Dawei Yin. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp.1490–1501, Madrid, Spain, July 11-15, 2022.
• WSDM'22 "Fast Semantic Matching via Flexible Contextualized Interaction.", Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin. In Proceedings of the 15th International Conference on Web Search and Data Mining (WSDM), pp.1275–1283, Phoenix, Arizona, USA, February 21-25, 2022.
• KDD'21 "Pre-trained Language Model based Ranking in Baidu Search." Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp.4014-4022, Online, August 14-18, 2021.
• KDD'21 "Pre-trained Language Model for Web-scale Retrieval in Baidu Search" Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp.3365-3375, Online, August 14-18, 2021.
• SIGIR'21 "Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation" Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin and Yi Chang. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp.275-284, Online, July 11-15, 2021.
• SIGIR'20 "Time Matters: Sequential Recommendation with Complex Temporal Information" Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin and Dawei Yin. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp.1459-1468, Xi'an, China, July 25-30, 2020.
• WSDM'20 "Hierarchical User Profiling for E-commerce Recommender Systems" Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin. In Proceedings of the The 13th ACM International Conference on Web Search and Data Mining (WSDM), pp.223-231, Houston, TX, USA, February 3-7, 2020.
• CIKM'20 "Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems" Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pp.2493-2500, Galway, Ireland, October 19-23, 2020.