Hi 👋👋 I am a fourth year Ph.D student in the Department of Computer Science and Engineering (CSE) at University of Notre Dame. My advisor is Prof. Toby Jia-Jun Li. Before joining Notre Dame, I received dual Bachelor degrees in Electrical and Electronic Engineering (EEE) from University of Electronic Science and Technology of China (UESTC) and University of Glasgow (Graduated with First-class honor degree). I have also worked at Adobe and Microsoft as a research scientist intern.
My research focus on human-AI interaction. I build interactive systems with multimodal AI models to help users engage with content across different modalities e.g. visual, audio, text. I have developed tools in video context, including multimodal data annotation (PEANUT@UIST'24), creating spatial audio effects for videos (MIMOSA@C&C'24), and enabling blind or low-vision users to consume video content through transforming visual information into layered, interactive audio descriptions (SPICA@CHI'24). More recently, my work looks at multimodal content representation and transformation, specifically how can we align the multimodal perceptions of human (like touch, smell, and sight) with the multimodal understanding capabilities of the AI agent, to streamline user workflows.
Ningzhi Tang*, Meng Chen*, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, and Toby Li
2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2024)
Zheng Ning, Brianna Wimer, Kaiwen Jiang, Keyi Chen, Jerrick Ban, Yapeng Tian,
Yuhang Zhao, and Toby Li
In Proceedings of the CHI Conference on Human Factors in Computing Systems
(CHI'24)
Zheng Ning*, Yuan Tian*, Zheng Zhang, Tianyi Zhang, Toby Li
ACM Transactions on Interactive Intelligent Systems (TiiS) IUI-2023 special
issue
Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld,
Tianyi Zhang
The 2023 Conference on Empirical Methods in Natural Language Processing
(EMNLP'23)
Zheng Ning*, Zheng Zhang*, Tianyi Sun, Tian Yuan, Tianyi Zhang, and Toby Li
The 26th International Conference on Intelligent User Interfaces
(IUI'23)