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。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。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；2020年加入百度。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60余篇，获得ICDM 2023最佳学生论文奖, EMNLP 2023杰出论文奖, 以及DSAA 2023最佳论文奖，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SIGIR、IJCAI等信息检索和人工智能领域权威学术会议资深程序委员会委员（Senior PC），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。

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！

Recent Publications All Publications (DBLP) »

• TKDE'24 "Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation", Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin. IEEE Transactions on Knowledge and Data Engineering 36(4): 1815-1828, 2024.
• NAACL'24 "Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method", Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin. In Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
• NAACL'24 "MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion", Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng LI, Changying Hao, Shuaiqiang Wang, Dawei Yin. In Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
• NAACL'24 "A Robust Semantics-based Watermark for Large Language Model against Paraphrasing", Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang. In Findings of the Association for Computational Linguistics: NAACL 2024.
• ICDE'24 "LT²R: Learning to Online Learning to Rank for Web Search", Xiaokai Chu, Lixin Zou, Chenliang Li, Jiashu Zhao, Changying Hao, Shuaiqiang Wang, Dawei Yin. In Proceedings of the 40th IEEE International Conference on Data Engineering (ICDE).
• EMNLP'23 "Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents", Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). (Outstanding Paper Award)
• EMNLP'23 "DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment", Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin. In Findings of the Association for Computational Linguistics: EMNLP 2023.
• MLJ'23 "GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search", Yuchen Li, Haoyi Xiong^, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen and Dawei Yin. Machine Learning (Best Paper Award - Journal Track for DSAA 2023), 2023, Springer. Accepted.
• 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. In 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). (Best Student Paper Award)
• 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, 35(12):12542-12555, 2023.
• 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.