王帅强，百度搜索策略部主任架构师，负责百度搜索引擎的搜索排序和阿拉丁方向的算法优化工作。分别于2004年和2009年在山东大学获得学士和博士学位，后在美国德克萨斯州立大学开展博士后研究工作。2014至2017年分别在芬兰于韦斯屈莱大学、英国曼彻斯特大学任助理教授；2017至2020年在京东零售推荐研发部负责京东商城电商推荐系统的排序策略优化工作。王帅强主要从事信息检索、推荐系统、数据挖掘领域的研究，在WWW、SIGIR、WSDM、IEEE/ACM Transactions等权威学术会议和期刊发表论文50余篇，主持或参与欧盟科学基金会资助合作交流项目1项、芬兰科学院资助项目1项、国家自然科学基金项目多项，是人工智能领域权威学术会议IJCAI的资深程序委员会委员（Senior PC member），WWW、SIGIR、WSDM等信息检索领域权威学术会议的程序委员会委员，中国计算机学会中文信息技术专业委员会委员、中国中文信息学会社会媒体处理专业委员会委员。详细信息请见 http://wangshuaiqiang.net.

我们团队正在招聘信息检索、数据挖掘、机器学习等相关专业的优秀人才（社招、校招均可）以及访问学生，如有兴趣请与我联系！

News

• [2023-05-17] Two papers got accepted in KDD 2023.
• [2023-04-20] One paper got accepted in IEEE Transactions on Knowledge and Data Engineering.
• [2022-09-20] We are organizing The WSDM Cup 2023 on Unbiased Learning to Rank and Pre-training for Web Search. Contributions are welcome.
• [2022-09-17] One paper got accepted in NeurIPS 2022.
• [2022-09-13] One paper got accepted in ACM Transactions on the Web.
• [2022-08-02] One paper got accepted in CIKM 2022.
• [2022-06-21] Shuaiqiang was invited to searve as Tutorial Co-Chairs at WI-IAT 2022.
• [2022-03-31] One full paper got accepted in SIGIR 2022.
• We are organizing The WSDM 2022 Workshop on Pre-trained Language Model for Information Retrieval (PLM4IR). Contributions are welcome.
• [2021-05-12] One paper got accepted in WSDM 2022.
• [2021-05-18] Two papers got accepted in the Applied Data Science Track of KDD 2021.
• [2021-04-14] One paper got accepted in SIGIR 2021.
• [2020-12-29] Shuaiqiang was invited to serve as Program Committee at KDD 2021.
• [2020-11-09] Shuaiqiang was invited to serve as Program Committee at SIGIR 2021.
• [2020-08-08] Shuaiqiang was invited to serve as Senior Program Committee at IJCAI 2021.
• [2020-07-19] Shuaiqiang was invited to serve as Program Committee at WSDM 2021.
• [2020-06-06] Shuaiqiang was invited to serve as Program Committee at WWW 2021

Recent Publications All Publications (DBLP) »

• 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), Long Beach, CA, USA, August 6-10, 2023. Accepted
• 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), Long Beach, CA, USA, August 6-10, 2023. Accepted
• 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, Toronto, Canada, July 9-14, 2023. Accepted
• 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.