I am currently a senior applied scientist at Amazon Web Services AI, focusing on foundation models related research, product, and opensource projects. Before this role, I was a postdoctoral researcher in the Department of Computer Science at ETH Zurich, under the guidance of Prof. Ce Zhang. I received a PhD degree from the school of computer science and engineering of UNSW Sydney, advised by Prof. Lina Yao, and my PhD study was also supported by CSIRO’s Data61 PhD Scholarship. I obtained a Bachelor’s degree from Nanjing University. My primary areas of focus include LLMs, multimodal foundation models, information retrieval, time series forecasting, graph machine learning, etc. At Amazon, I have contributed to products such as Amazon Titan, AWS Glue, etc. I have served as the area chair for ACL Rolling Review, reviewer/guest editor/senior PC for a few leading AI/ML conferences/journals, and organizers for workshops in leading AI conferences.

Awards

• Area Chair’s Award, ACL 2024
• Best of the Best conference Paper Award, Global Marketing Conference (GMC) 2023
• Outstanding Paper Award, ICLR 2021
• Best Paper Award runner-up, WSDM 2020

Latest News

• SIGIR Workshop GENNEXT on Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI will take place on July 17.

• Special Issue on Generative Models for Recommender Systems: Opportunities, Risks, and Evaluation of ACM Transactions on Recommender Systems is calling for submissions.