Jing Shi

Jing Shi

Research Scientist

San Jose, CA

Jing Shi is a research scientist at Adobe Research. His primary interests are in visual perception and generation/manipulation with the interaction of language. His recent work has focused on language-based image editing, scene understanding, and content authenticity. He also has broader interests in the principled way to understand representation learning, reinforcement learning, etc.

Before joining Adobe, he obtained CS Ph.D. at the University of Rochester in 2022 and B.E. degree at the University of Electronic Science and Technology of China.

For more information, please visit his personal webpage.

Publications

August 1, 2025 ACL 2025 Findings

Click, Type, Repeat: A Comprehensive Survey on GUI Agents

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, David Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

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