CV

Education

• M.S. in Computer Science, M.S. in Informatics, New York University, 2018 ~ 2022
• B.S. in Physics, B.S. in Finance, Nanjing University, 2014 ~ 2018

Work experience

• Apple: Machine Learning Engineer
  • (Oct 2023 - present) Vision Foundation Model, SII
  • (July 2023 - Oct 2023) Machine Learning Research, DMLI
  • (Feb 2023 - July 2023) Siri Understanding, SII
  • I joined Apple as an AIML Rotation Engineer, and rotated with above teams before deciding to join Vision Foundation Model team.
• Google: Software Engineer Intern
  • (May 2022 - Aug 2022) ADS

Publications

• Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnuer, Peter Grasch, Yinfei Yang, Zhe Gan. MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs ICLR 2025 (MIA-Bench is released at link)
• Yusu Qian, Haotian Zhang, Yinfei Yang, Zhe Gan. How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts. SafeGenAi workshop at NeurIPS 2024 (MAD-Bench is released at link)
• Yusu Qian, Urwa Muaz, Ben Zhang, Jae Won Hyun. Reducing gender bias in word-level language models with a gender-equalizing loss function. ACL-SRW 2019
• Yusu Qian. Gender Stereotypes Differ between Male and Female Writings. ACL-SRW 2019

Talks

• Talk on Gender stereotypes differ between male and female writings. Video

Service

• Reviewer for ECCV 2024, ACL 2024, NAACL WOAH 2024, ACL student research workshop 2020-2024