I am a research scientist at Adobe Research, San Jose. My primary interests are in visual perception and generation/manipulation with the interaction of language. My recent work has focused on language-based image editing, scene understanding, and content authenticity. I am also interested in the principled way to understand the representation learning.
Before joining Adobe, I obtained my CS PhD at the University of Rochester in 2022, advised by Chenliang Xu, B.E. degree at University of Electronic Science and Technology of China. I have interned at Adobe Research with Ning Xu and Tencent with Jia Xu and Boqing Gong.
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Learning Continuous-Time Dynamics by Stochastic Differential Networks
Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen
International Conference on Neural Information Processing (ICONIP), 2021
Full Resume in PDF.