I am currently employed at Amazon Web Services AI, focusing on foundation models related research, opensource projects, and products. 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 degree from Nanjing University.

My primary areas of focus include LLMs, multimodal foundation models, information retrieval, graph machine learning, etc. I am a recipient of the Best Paper Award runner-up at WSDM 2020, the Outstanding Paper Award at ICLR 2021, and the Best of the Best conference Paper Award at the Global Marketing Conference (GMC) 2023. I have served as the area chair for ACL Rolling Review 2024, organizer for ROEGEN of RecSys2024, area chair for WiML (Women in Machine Learning) Workshop at NeurIPS 2022, senior PC for IJCAI 2021 and CIKM 2021, session chair for CIKM 2021, and guest editor for Frontiers in Big Data. At Amazon, I have contributed to projects such as Amazon Titan, AutoGluon, D2L, and OpenSearch. My research has garnered attention from the media, including coverage by outlets like Australian Fintech.

Latest News

• CFP: Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems ROEGEN@RecSys2024.
• SteerFair and AFT accepted at ICML 2024.
• CaMML is accepted at ACL 2024, check the code out.