Leitian Tao

I am the second-year Ph.D. student at University of Wisconsin–Madison. My current research interest is the alignment for the large language model.

I am pleasant to work as a research assitant in University of Wisconsin–Madison, under the supervision of Sharon Li.

I'm working as a summer research intern at Adobe Research, working on Large Language Models for code generation.

I have graduated from Wuhan University (WHU), My advisor is Zhenzhong Chen. I have worked as a research intern at Shanghai AI lab. My mentor at Shanghai AI lab is Peng Gao.

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Research

I'm interested in machine learning, and computer vision. Much of my research interest now is about open-world machine learning. Representative papers are highlighted. (* indicates equal contribution)

visualparsing Non-parametric Outlier Synthesis
Leitian Tao, Xuefeng Du, Xiaojin Zhu, Yixuan Li.
ICLR 2023
visualparsing Predicate Correlation Learning for Scene Graph Generation
Leitian Tao, Li Mi, Nannan Li, Xianhang Cheng, Yaosi Hu, Zhenzhong Chen.
IEEE TIP
[Link]
visualparsing Pyramid Feature Alignment Network for Video Deblurring
Leitian Tao, Zhenzhong Chen
Under review
Academic Service

Journal Reviewer: IJCV

Conference Reviewer: ICML, ICLR, NeurIPS, ICME

Steal from Jon Barron's website.