My name is Wenyue (Suzie) Xi. I’m an asprinig PhD student. I’m currently working as Quantative Analyst at Bank of America. I have received Master in Computer Science from New York Unversity (NYU), and bachelor degree in Computer Science and Art History from Smith College. I have previously worked at Google Summer of Code. My research interests include generative AI, Large Language Models, Machine Learning, Digital Platforms, and Computational Social Science.
Wenyue Xi, Oscar Wan, João Sedoc, “Generative Al in Recruitment: A Comparative Study of Llama2 and ChatGPT for Resume Screenin
Siqi Pei, Wenyue Xi, Hongshen Sun, “Mobile Payments and Urban Mobility: Assessing the Influence of Mobile Payments on Metro Ridership and Environmental Enhancement”, Accepted by 46th The INFORMS Society for Marketing Science (ISMS) Marketing Science Conference
Chuang Tang, Wenyue Xi, “Decoding Visual Emotions: Impact on Sales from Yelp Photo Review”
Wenyue Xi, Zhongheng Cheng, Mark Turner, “Empirical Benchmark of Generative AI for Frame Blending Generation, Submitted to the 17th International Cognitive Linguistics Conference”
Wenyue Xi, Ruiying Liu, Rui Cui, “Volunteer Future Collaboration Prediction with Topology-based Ensemble Models, Proceedings of 33rd IEEE Workshop on Machine Learning for Signal Processing, 2023”
Peter J. Whitehouse, Kristin Bodiford, Patrik Standar, Arthur Namara Aarali, Sylvia Asiimwe, Vanessa Vegter, Wenyue Xi, Paloma Torres-D´avila, “Intergenerative Transdisciplinarity in “Glocal” Learning and Collaboration”, Transdisciplinary Journal of Engineering & Science, 2021”
