Ding Xia | The University of Tokyo

About Me

I am a Ph.D. student at the Information Science and Technology department of The University of Tokyo, under the supervision of Takeo Igarashi. I study Computer Vision, Human–Computer Interaction, Large Language Models, and Explainable AI.

Research Interests

HCI & Applied AI: AI-driven interface design for human-vehicle interaction, generative AI for design automation, interactive fabrication systems
Multimodal AI: Vision-language model applications, AI agents for embodied interaction, multimodal knowledge augmentation
Computer Vision: 3D scene understanding, medical image analysis, visual representation learning

News

[Jan 2026] 🎉 Two papers accepted to CHI 2026: VLM Personas for HCI studies and Smart Pole Interaction Unit.
[Dec 2025] 🎉 Our paper EssayBench on evaluating LLMs in Chinese essay writing has been accepted to AAAI 2026.
[Oct 2025] 🎉 Our paper TailCue on animal-inspired robotic tail for AV interaction has been accepted to HAI 2025.
[Aug 2025] 🎉 Our paper on automating eHMI action design with LLMs has been accepted to EMNLP 2025 Findings.
[Aug 2025] 🎉 Our paper HealthGenie has been accepted to CIKM 2025 Demo Paper Track.
[June 2025] 🎉 Our paper on document design, in collaboration with CyberAgent AI Lab, has been accepted to ICDAR 2025.
[Feb 2025] 🎉 Our paper on hand-drawing systems for CAD has been accepted to CHI 2025.

Publications

CHI

Peeking Ahead of the Field Study: Exploring VLM Personas as Support Tools for Embodied Studies in HCI

Xinyue Gui, Ding Xia, Mark Colley, Yuan Li, Vishal Chauhan, Anubhav Anubhav, Zhongyi Zhou, Ehsan Javanmardi, Stela Hanbyeol Seo, Chia-Ming Chang, Manabu Tsukada, Takeo Igarashi

Proceedings of The ACM conference on Human Factors in Computing Systems (CHI), 2026.

CHI

Don't Worry, Just Follow Me: Prototyping and In-the-Wild Evaluation of Smart Pole Interaction Unit with Mobility

Vishal Chauhan, Anubhav Anubhav, Mark Colley, Chia-Ming Chang, Xinyue Gui, Ding Xia, Ehsan Javanmardi, Takeo Igarashi, Kantaro Fujiwara, Manabu Tsukada

Proceedings of The ACM conference on Human Factors in Computing Systems (CHI), 2026.

AAAI

EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing

Fan Gao, Dongyuan Li, Ding Xia, Fei Mi, Yasheng Wang, Lifeng Shang, Baojun Wang

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026.

PDF

HAI

TailCue: Exploring Animal-inspired Robotic Tail for Automated Vehicles Interaction

Yuan Li*, Xinyue Gui*, Ding Xia, Mark Colley, Takeo Igarashi (*Co-first authors)

Proceedings of the 13th International Conference on Human-Agent Interaction (HAI), 2025.

PDF Oral

EMNLP

Automating eHMI Action Design with LLMs for Automated Vehicle Communication

Ding Xia, Xinyue Gui, Fan Gao, Dongyuan Li, Mark Colley, Takeo Igarashi

Findings of Empirical Methods in Natural Language Processing (EMNLP), 2025.

PDF Code Poster

CIKM

HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models

Fan Gao, Xinjie Zhao, Ding Xia, Zhongyi Zhou, Rui Yang, Jinghui Lu, Hang Jiang, Chanjun Park, Irene Li

ACM International Conference on Information and Knowledge Management (CIKM), 2025.

PDF Demo

ICDAR

ColorGPT: Leveraging Large Language Models for Multimodal Color Recommendation

Ding Xia, Naoto Inoue, Qianru Qiu, and Kotaro Kikuchi

International Conference on Document Analysis and Recognition (ICDAR), 2025.

PDF Poster

CHI

Draw2Cut: Direct On-Material Annotations for CNC Milling

Xinyue Gui*, Ding Xia*, Wang Gao, Mustafa Doga Dogan, Maria Larsson, Takeo Igarashi (*Co-first authors)

Proceedings of The ACM conference on Human Factors in Computing Systems (CHI), 2025.

PDF Code Project Page Oral

IUI

SpaceEditing: A Latent Space Editing Interface for Integrating Human Knowledge into Deep Neural Networks

Jiafu Wei, Ding Xia, Haoran Xie, Chia-Ming Chang, Chuntao Li, Xi Yang

Proceedings of the 29th International Conference on Intelligent User Interfaces (IUI), 2024.

PDF

ECCV

PairingNet: A Learning-based Pair-searching and-matching Network for Image Fragments

Rixin Zhou, Ding Xia, Yi Zhang, Honglin Pang, Xi Yang, Chuntao Li

European Conference on Computer Vision (ECCV), 2024.

PDF Code Poster

MICCAI

Data-Driven Multi-modal Partial Medical Image Preregistration by Template Space Patch Mapping

Ding Xia, Xi Yang, Oliver van Kaick, Taichi Kin, Takeo Igarashi

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

PDF Code Poster

CVM

A Two-Step Surface-Based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms

Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

Computational Visual Media (CVM), 2023.

PDF

CVPR

Intra: 3D Intracranial Aneurysm Dataset for Deep Learning

Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

PDF Code Oral