Zijian "Jason" Ding

Publications

Please check my Google Scholar for the updated list.

Full Conference Papers:

  1. Y. Bai, Z. Ding, A. Taylor. From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context. [pdf]
  2. Z. Ding, Q. Zhang, M. Chi, Z. Wang. Frontend Diffusion: Empowering Self-Representation of Junior Researchers and Designers with Agentic Workflows. In Proceedings of the 2025 ACM Conferences on Creativity and Cognition (VL/HCC’25). [pdf]
  3. Z. Ding, M. Brachman, J. Chan, W. Geyer. “The Diagram is like Guardrails”: Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation. In Proceedings of the 17th ACM Conferences on Creativity and Cognition 2025 (C&C’25). (work during internship at MIT-IBM Watson AI Lab) [ACM DL]
  4. Q. Zhang, R. Wen, L. B. Hendra, Z. Ding (co-advisor), R. LC. Can AI Prompt Humans? Multimodal Agents Prompt Players’ Game Actions and Show Consequences to Raise Sustainability Awareness. In Proceedings of the 2025 ACM Conference on Human Factors in Computing Systems (CHI’25). [ACM DL]
  5. J. Chan, Z. Ding, E. Kamrah, M. Fuge. Towards an Interaction-Oriented Theory of Creative Inspiration from Examples: Experimental Results for the Case of Exploratory Creativity, and an Initial Theoretical Framework. In Proceedings of the 2024 ACM Conference on Human Factors in Computing Systems (CHI’24). [ACM DL]
  6. Z. Ding, A. Smith-Renner, W. Zhang, J. R. Tetreault, A. James. Harnessing the Power of LLMs: Evaluating Human-AI Interaction through the Lens of News Headline Generation. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’23), 2023. (Work during internship at Dataminr in 2022 summer) [pdf]
  7. Z. Ding, A. Srinivasan, S. MacNeil, J. Chan. Fluid Transformers and Creative Analogies: Exploring Large Language Models’ Capacity for Augmenting Cross-Domain Analogical Creativity. In Proceedings of the 15th ACM Conferences on Creativity and Cognition 2023 (C&C’23),. (Honorable Mention 🏆) [ACM DL]
  8. S. MacNeil, Z. Huang, K. Chen, Z. Ding, A. Yu, K. Nakai, S. P. Dow. Freeform Templates: combining Freeform Curation with Structured Templates. In Proceedings of the 15th ACM Conferences on Creativity and Cognition 2023 (C&C’23), 2023. [ACM DL]
  9. Z. Ding, J. Kang, T.O.T. Ho, K.H. Wong, H.H. Fung, H. Meng, X. Ma. TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI’22), 2022. [pdf]
  10. S. Palani, Z. Ding, A. Nguyen, A. Chuang, S. MacNeil, S. P. Dow. CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI’21), 2021. [pdf]
  11. S. MacNeil, Z. Ding, A. Boone, A. B. Grubbs, S. P. Dow. Finding Place in a Design Space: Challenges for Supporting Community Design Efforts at Scale. In Proceedings of the 2021 Conference of Computer Supported Cooperative Work (CSCW’21), 2021. [pdf]
  12. S. MacNeil, Z. Ding, K. Quan, T. J. Parashos, Y. Sun, S. P. Dow. Framing Creative Work: Helping Novices Frame Better Problems through Interactive Scaffolding. In Proceedings of the 2021&2022 Conferences on Creativity and Cognition (C&C’21), 2021. [pdf]
  13. R. Chang, Q. Wang, Z. Ding. Revolutionizing Urban Energy Planning: A Roadmap Towards City-level Energy Modeling in Australia. In Proceedings of the International Conference on Construction Project Management and Construction Engineering (iCCPMCE’18), 2018. (Best Paper)
  14. Q. Wang, S. Zhang, D. Wei, Z. Ding. Additive Manufacturing (AM): A Revolutionized Power for Construction Industrialization. In Proceedings of the 2018 International Conference on Construction and Real Estate Management (ICCREM’18), 2018. (Best Paper)

Short Conference Papers (Posters, Workshops, Demos):

  1. Z. Ding, F. Li, H. Yu, J. Chan. Towards Direct Intent Manipulation: Drag-Based Research Ideation, Evaluation and Evolution. In Adjunct Proceedings of the 2025 Annual ACM Symposium on User Interface Software and Technology (UIST’25 Poster), 2025. [pdf]
  2. Z. Ding, M. Brachman, J. Chan, W. Geyer. Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation. In Companion Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI’25 Demo), 2025. (work during internship at MIT-IBM Watson AI Lab) [pdf]
  3. Z. Ding. Advancing GUI for Generative AI: Charting the Design Space of Human-AI Interactions through Task Creativity and Complexity. In Companion Proceedings of the 29th International Conference on Intelligent User Interfaces (IUI’24 Doctoral Consortium), 2024. [pdf]
  4. C. Cao, Z. Ding, G. Lee, J. Jiao, J. Lin, X. Zhai. Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning. In IJCAI 2023 Symposium on Multimodal Reasoning with LLM (IJCAI’23 Symposium), 2023. [pdf]
  5. Z. Ding, J. Chan. Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks. In CHI 2023 Workshop on Generative AI and HCI (CHI’23 Workshop), 2023. [pdf]
  6. S. MacNeil, Z. Ding, K. Quan, Z. Huang, K. Chen, S. P. Dow. ProbMap: Automatically Construct- ing Design Galleries through Feature Extraction and Semantic Clustering. In Adjunct Proceedings of the 2021 Annual ACM Symposium on User Interface Software and Technology (UIST’21 Demo), 2021. [pdf]
  7. S. Palani, Z. Ding, S. MacNeil, S. P. Dow. The “Active Search” Hypothesis: How Search Strategies Relate to Creative Learning. In Proceedings of the 2021 Conference on Human Information Interaction and Retrieval (CHIIR’21 Poster), 2021. [pdf]

Preprints:

  1. Z. Ding, J. Chan. Intelligent Canvas: Enabling Design-Like Exploratory Visual Data Analysis through Rapid Prototyping, Iteration and Curation. [preprint]
  2. Q. Zhang, L. B. Hendra, M. Chi, Z. Ding (advisor). Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions. [demo video][repo][preprint]

(Non-HCI) Journals:

  1. E. Kamrah, S. F. Ghoreishi, Z. Ding, J. Chan, M. Fuge. How Diverse Initial Samples Help and Hurt Bayesian Optimizers. ASME Journal of Mechanical Design. 1-32. [Link] (highlighted as a featured article on the Journal of Mechanical Design’s companion site)
  2. S. Chang, Q. Wang, H. Hu, Z. Ding, H. Guo. An NNwC MPPT-Based Energy Supply Solution for Sensor Nodes in Buildings. Energies, 12(1), 1-20.
  3. R. Chang, Q. Wang, Z. Ding. How is the Energy Performance of Buildings Assessed in Australia? A Comparison between four Evaluation Systems. International Journal of Structural and Civil Engineering Research, 8(2), 133-137.