I am a 4th year Ph.D. candidate in the Department of Computer Science and Engineering at the University of Notre Dame, advised by Prof. Toby Jia-Jun Li. Before joining ND, I received two M.S. degrees in Computer Science from the University of Rochester and the University of Minnesota, where I was advised by Dr. Zhen Bai and Dr. Haiyi Zhu respectively. I received B.Eng. in Software Engineering from Shaanxi Normal University. I have also worked at Apple, AWS AI and Meta Reality Labs as a research scientist intern.

My research focuses on human-AI interaction, aiming to design interactive AI-powered systems that provide adaptive, context-sensitive, on-demand support throughout complex cognitive tasks. I have developed human-AI collaborative tools that adapt dynamically to evolving user goals, providing progressive cognitive scaffolding to enhance social interaction and learning beyond the traditional classroom. Additionally, I have implemented semi-automated systems that learn incrementally from user demonstrations, enabling AI to gradually streamline workflows, accelerate insight generation, and support meaningful decision-making.

I am on the job market for tenure-track faculty positions or relevant industry research positions. If you know of any suitable opportunities, please feel free to reach out!

Publications

(* indicates equal contribution)
LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-Located Team Collaboration

Zheng Zhang, Weirui Peng, Xinyue Chen, Luke Cao, and Toby Jia-Jun Li

Preprint

PDF | Code

MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos

Zheng Ning*, Zheng Zhang*, Jerrick Ban, Kaiwen Jiang, Ruohong Gan, Yapeng Tian, and Toby Jia-Jun Li

C&C 2024

PDF | ACM DL

Insights into Natural Language Database uery Errors: From Atention Misalignment to User Handling Strategies

Ning Zheng, Yuan Tian, Zheng Zhang, Tianyi Zhang, and Toby Jia-Jun Li

ACM Transactions on Interactive Intelligent Systems

PDF | ACM DL

CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models

Jie Gao, Yuchen Guo, Gionnieve Lim, Tianqin Zhang, Zheng Zhang, Toby Jia-Jun Li, and Simon Tangi Perrault

CHI 2024

PDF | ACM DL | Video

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations

Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld, and Tianyi Zhang

EMNLP 2023

PDF | Code

PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data

Zheng Zhang, Zheng Ning, Chenliang Xu, Yapeng Tian, and Toby Jia-Jun Li

UIST 2023

PDF | ACM DL | Video

VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping

Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, and Toby Jia-Jun Li

UIST 2023

PDF | ACM DL | Live Demo | Video

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis

Simret Araya Gebreegziabher*, Zheng Zhang*, Xiaohang Tang, Yihao Meng, Elena Glassman, and Toby Jia-jun Li

CHI 2023

PDF | ACM DL | Video

An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries

Zheng Ning*, Zheng Zhang*, Tianyi Sun, Yuan Tian, Tianyi Zhang, and Toby Jia-jun Li

IUI 2023

PDF | ACM DL

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Li, Nora Bradford, Branda Sun, Tran Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, and Mark Warschauer

ACL 2022

PDF | Dataset

It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books

Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Li, Mo Yu, and Ying Xu

ACL 2022

PDF | Code

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, and Toby Jia-Jun Li

CHI 2022

PDF | ACM DL | Code | Video

Race, Gender and Beauty: The Effect of Information Provision on Online Hiring Biases

Weiwen Leung*, Zheng Zhang*, Daviti Jibuti, Jinhao Zhao, Maximilian Klein, Casey Pierce, Lionel Robert, and Haiyi Zhu

CHI 2020

PDF | ACM DL

Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders

Hao-Fei Cheng, Ruotong Wang, Zheng Zhang, Fiona O’Connell, Terrance Gray, F. Maxwell Harper, and Haiyi Zhu

CHI 2019

PDF | ACM DL | Video