His research covers a broad scope of problems in search and recommendation. Recently, he focuses on developing the retrieval-oriented pre-training algorithms and the end-to-end optimized IR systems. Aside from academic research, his has conducted a series of product-driven projects in Microsoft and Huawei, which contribute to Bing Sponsored Search, Microsoft News, Petal Search, etc. He is constantly serving as PC and reviewer for KDD, WWW, TKDE and TOIS, etc. He is an invited lecture for CCF ADL on Embedding Learning and Search, the convener and guest editor for TOIS special section on pre-trained models for IR (TBA).