Email: wangshuaiqiang [at] baidu.com
Shuaiqiang Wang (王帅强) is a Principal Architect at the Qianfan Strategy Department of Baidu AI Cloud, where he leads performance optimization for Agent products including DuMate, Qianfan-Deep Search/Research, and Qianfan-AI Search. He received his Bachelor's degree in 2004 and Ph.D. in 2009, both from Shandong University, and subsequently conducted postdoctoral research at Texas State University in the United States. From 2014 to 2017, he served as an Assistant Professor at the University of Jyväskylä in Finland and the University of Manchester in the United Kingdom. From 2017 to 2020, he worked in the Recommendation R&D Department at JD Retail, leading ranking strategy optimization for the JD.com e-commerce recommendation system. He joined Baidu in 2020, where he has successively led performance optimization across various Baidu Search products, as well as large language model training for Baidu Search and other Baidu applications. His research interests center on large language models and Agents, information retrieval, and recommender systems. He serves as a Senior Area Chair (SAC), Area Chair (AC), and Senior Program Committee (Senior PC) member for top-tier conferences in information retrieval and artificial intelligence, including KDD, SIGIR, and IJCAI. He is the recipient of the Best Paper Award at ECIR 2026, the Best Student Paper Award at ICDM 2023, the Outstanding Paper Award at EMNLP 2023, and the Best Paper Award at DSAA 2023.
Our team is hiring! Please drop me a message via wangshuaiqiang [at] baidu.com if interested.
