Zijian "Jason" Ding

Zijian "Jason" Ding

(he/him)

PhD Candidate

University of Maryland, College Park

Professional Summary

Greetings! I am Jason Ding, a 5th-year PhD candidate at University of Maryland, College Park, working on Human-centered AI and GenAI.

I have 8+ years of research experience in Human-Centered AI and 5+ years in Generative Models. My research contribution includes 20+ publications at AI and HCI conferences, such as CHI×5, C&C×4, EMNLP×1, CSCW×1. During my PhD, I’ve had the privilege of completing 4 research internships at Microsoft Research, MIT-IBM Watson AI Lab (IBM Research), Fujitsu Research of America, and Dataminr AI Org. My industry research has been published in AI/HCI conferences (EMNLP 2023, IUI 2025, C&C 2025), and made real-world impacts such as first-authored GenAI patent (IBM Research) and GenAI product (Dataminr ReGenAI).

Group Photo

Education

PhD in Information Studies

2020-08-01

University of Maryland, College Park

MS in Information Science

2018-09-01
2020-06-30

University of California, San Diego

BEng in Electronic & Information Engineering

2014-02-01
2018-06-30

The Hong Kong Polytechnic University

Interests

Human-Centered AI Generative AI Intent-AI Interaction Human-AI Co-creation Creative Cognition

Experience

Research Intern
Fujitsu Research of America
Sep 2025 – Mar 2026
Manager: Dr. Aakar Gupta
Research Intern
MIT-IBM Watson AI Lab
May – Aug 2024
Manager: Dr. Kush Varshney
Mentors: Dr. Michelle Brachman, Dr. Werner Geyer
Research Intern
Microsoft Research, EPIC Lab
May – Aug 2023
Manager: Dr. Ken Hinckley
Mentor: Dr. Nathalie Henry Riche
Research Intern
Dataminr Inc.
May – Aug 2022
Manager: Dr. Alejandro Jaimes
Mentors: Dr. Alison Smith-Renner, Dr. Isabel Zhang

News

Jan 2026"Towards AI as Colleagues" conditionally accepted to CHI 2026
Aug 2025"Towards Direct Intent Manipulation" accepted to UIST 2025 poster
Jul 2025"Frontend Diffusion" accepted to VL/HCC 2025
Mar 2025"The Diagram is like Guardrails" accepted to C&C 2025
Jan 2025Demo at IUI 2025; "Can AI Prompt Humans?" at CHI 2025
Nov 2024Invited talk on "Intent-AI Interaction" at UMD HCIL
Sep 2024Post-Candidacy Doctoral Student Research Award ($1,500)
Feb 2024ACM IUI Student Grant ($1,460) from NSF
Jan 2024Thesis proposal at IUI 2024 Doctoral Consortium
Jan 2024"Formulating or Fixating" accepted to CHI 2024
Nov 2023JMD paper featured in ASME Journal of Mechanical Design
Oct 2023"Harnessing the power of LLMs" accepted to EMNLP 2023
Sep 2023Doctoral Student Research Award ($1,500)
Jun 2023Dean's Fellowship ($2,500)
May 2023Honorable Mention at C&C 2023
Apr 2023Two papers at C&C 2023 (21.33% acceptance rate)

Awards & Honors

2024Post-Candidacy Doctoral Student Research Award ($1,500)
2024IBM PhD Fellowship nominee
2024Apple Scholars in AI/ML PhD Fellowship nominee
2024Google PhD Fellowship nominee
2024ACM IUI Student Grant ($1,460, NSF)
2023Pre-Candidacy Doctoral Student Research Award ($1,500)
2023Dean's Fellowship, UMD College of Information ($2,500)
2023Honorable Mention — ACM C&C 2023
2021Dean's Fellowship, UMD College of Information ($10,000)
2014PolyU Entry Scholarship — Academic Excellence (HK$480,000)

Students

I am fortunate to work with these talented and motivated students. Underlined authors in the publication list indicate my students and myself.

Publications

* co-advisor    ** advisor

Towards AI as Colleagues: Multi-Agent System Improves Structured Professional Ideation
Kexin Quan, Dina Albassam, Mengke Wu, Zijian Ding*, Jessie Chin
In CHI 2026 [PDF]
Frontend Diffusion: Empowering Self-Representation of Junior Researchers and Designers with Agentic Workflows
Zijian Ding, Qinshi Zhang, Mohan Chi, Ziyi Wang
In VL/HCC 2025 [PDF]
The Diagram is like Guardrails: Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
Zijian Ding, Michelle Brachman, Joel Chan, Werner Geyer
In C&C 2025 Work during internship @ MIT-IBM Watson AI Lab [PDF]
Can AI Prompt Humans? Multimodal Agents Prompt Players' Game Design Ideas
Qinshi Zhang, Ruoyu Wen, Latisha Besariani Hendra, Zijian Ding*, Ray LC
In CHI 2025 [PDF]
Formulating or Fixating: Effects of Examples on Problem Solving Vary as a Function of Example Presentation Interface Design
Joel Chan, Zijian Ding, Eesh Kamrah, Mark Fuge
In CHI 2024 [PDF]
Harnessing the Power of LLMs: Evaluating Human-AI Interaction through the Lens of News Headline Generation
Zijian Ding, Alison Smith-Renner, Wenjuan Zhang, Joel R. Tetreault, Alejandro Jaimes
In EMNLP 2023 Findings Work during internship @ Dataminr [PDF]
🏆 Honorable Mention Award
Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity
Zijian Ding, Arvind Srinivasan, Stephen MacNeil, Joel Chan
In C&C 2023 [PDF]
Freeform Templates: Combining Freeform Curation with Structured Templates
Stephen MacNeil, Ziheng Huang, Kenneth Chen, Zijian Ding, Alexander Yu, Kendall Nakai, Steven P. Dow
In C&C 2023 [PDF]
TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening
Zijian Ding, Jiawen Kang, Tinky Oi Ting Ho, Ka Ho Wong, Helene H. Fung, Helen Meng, Xiaojuan Ma
In CHI 2022 [PDF]
Framing Creative Work: Helping Novices Frame Better Problems through Interactive Scaffolding
Stephen MacNeil, Zijian Ding, Kexin Quan, Thomas J. Parashos, Yajie Sun, Steven P. Dow
In C&C 2021 [PDF]
CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery
Srishti Palani, Zijian Ding, Austin Nguyen, Andrew Chuang, Stephen MacNeil, Steven P. Dow
In CHI 2021 [PDF]
Finding Place in a Design Space: Challenges for Supporting Community Design Efforts at Scale
Stephen MacNeil, Zijian Ding, Ashley Boone, Anthony Bryce Grubbs, Steven P. Dow
In CSCW 2021 [PDF]
Towards Direct Intent Manipulation: Drag-Based Research Ideation, Evaluation and Evolution
Zijian Ding, Fenghai Li, Haofei Yu, Joel Chan
In UIST 2025 Poster [PDF]
Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
Zijian Ding, Michelle Brachman, Joel Chan, Werner Geyer
In IUI 2025 Demo Work during internship @ MIT-IBM Watson AI Lab [PDF]
Advancing GUI for Generative AI: Charting the Design Space of Human-AI Interactions through Task Creativity and Complexity
Zijian Ding
In IUI 2024 DC [PDF]
Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks
Zijian Ding, Joel Chan
In CHI 2023 Workshop [PDF]
ProbMap: Automatically Constructing Design Galleries through Feature Extraction and Semantic Clustering
Stephen MacNeil, Zijian Ding, Kexin Quan, Ziheng Huang, Kenneth Chen, Steven P. Dow
In UIST 2021 Demo [PDF]
The 'Active Search' Hypothesis: How Search Strategies Relate to Creative Learning
Srishti Palani, Zijian Ding, Stephen MacNeil, Steven P. Dow
In CHIIR 2021 Poster [PDF]
How Diverse Initial Samples Help and Hurt Bayesian Optimizers
Eesh Kamrah, Seyede Fatemeh Ghoreishi, Zijian Ding, Joel Chan, Mark Fuge
In JMD [PDF]
StreetDesignAI: A Multi-Persona Evaluation System for Inclusive Infrastructure Design
Ziyi Wang, Yilong Dai, Duanya Lyu, Mateo Nader, Sihan Chen, Wanghao Ye, Zijian Ding*, Xiang Yan
Preprint [PDF]
Spatial Balancing: Harnessing Spatial Reasoning to Balance Scientific Exposition and Narrative Engagement in LLM-assisted Science Communication Writing
Kexue Fu, Jiaye Leng, Yawen Zhang, Jingfeng Huang, Yihang Zuo, Runze Cai, Zijian Ding, Ray LC, Shengdong Zhao, Qinyuan Lei
Preprint [PDF]
CareerPooler: AI-Powered Metaphorical Pool Simulation Improves Experience and Outcomes in Career Exploration
Ziyi Wang, Ziwen Zeng, Yuan Li, Zijian Ding**
Preprint [PDF]
From MAS to MARS: Coordination Failures and Reasoning Trade-offs in Hierarchical Multi-Agent Robotic Systems within a Healthcare Scenario
Yuanchen Bai, Zijian Ding, Shaoyue Wen, Xiang Chang, Angelique Taylor
Preprint [PDF]
Intelligent Canvas: Enabling Design-Like Exploratory Visual Data Analysis through Rapid Prototyping, Iteration and Curation
Zijian Ding, Joel Chan
arXiv Preprint [PDF]