July 2024 🙌 Gave an invited talk at ChinaVis 2024: The Role of Visual Analytics in the New Era of AI-assisted Education
2023-2024👩🏻 Serving as a Youth Editor of the Journal of Visual Informatics.
2023-2024 👩🏻 Serving as a Program Chair for Learning @ Scale 2024.
Oct 2023 🙌 Gave an invited talk at TxHCI: Human-centered Data-driven Systems for Personalized Online Learning
May 2023👩🏻 Serving as a Program Committee member for CHI 2024.
Aug 2022🙌 Our paper, Exploring Interactions with Printed Data Visualizations in Augmented Reality, received Honorable Mention Award at IEEE VIS 2022: (Wai Tong, Zhutian Chen, Meng Xia, Leo Yu-Ho Lo, Linping Yuan, Benjamin Bach, Huamin Qu)
June 2022 🙌 Gave an invited talk at ZJU Visulization Summer School: Interactive Visual Analytics for Personalized Online Learning
June 2022 👩🏻 Serving as a Program Committee member for CHI 2023.
Apr 2022 🙌 Our paper received Best Paper Award at CHI 2022: Mobile-Friendly Content Design for MOOCs: Challenges, Requirements, and Design Opportunities (Jeongyeon Kim, Yubin Choi, Meng Xia, Juho Kim)
March - June 2022 👩🏻 Serving as a Program Committee member for VIS 2022.
Jan - Feb 2022 👩🏻 Serving as a Program Committee member for CHI 2022 LBW.
Jan 2022 ✈️ Starting the work at CMU HCII as a postdoc fellow.
Apr 2021 👩🏻 Serving as a Program Committee member for IEEE VIS'21.
Apr 2021 ✈️ Starting working in KAIST for one language learning support project with Ringle and one XAI project with Samsung.
Sep 2020 - Mar 2021 🦁 Led and worked on a Learning Design Studio project collaborated with Hong Kong University.
June 2019 - Oct 2019 ✈️ Visiting University of Toronto and working with Jeseph Jay Williams.
Assistant Professor @ CSE, Texas A&M University. I lead the Dream Lab and welcome to join our research team if you are interested in human-AI interaction, data visualization, and education technology. Please email: mengxia@tamu.edu me. 😀
I received my PhD 🎓 in Aug 2020 from the Hong Kong University of Science and Technology. I was cosupervised by Prof. Huamin Qu and Prof. Xiaojuan Ma. Previously, I was a Postdoctoral Faculty at CMU, HCII, working with Prof. Vincent Aleven and at KAIST, KIXLAB, working with Prof. Juho Kim.
My research background mainly focuses on Human-AI Interaction, Data Visualization, and Education Technology. My current research focuses on creating systems for adaptive learning/teaching using visual analytics, and other emerging techniques (e.g., NLP, AR/VR). You may also checkout my CV here.
Yi-Fan Cao, Reza Hadi Mogavi, Meng Xia, Leo Yu-Ho Lo, Xiaoqing Zhang, Mei-Jia LOU, Lennart E. Nacke, Yang Wang, Huamin Qu
CSCW 2024
StuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions
Zixin Chen, Jiachen Wang, Meng Xia, Kento Shigyo, Dingdong Liu, Rong Zhang, Huamin Qu
IEEE VIS 2024
VisTellAR: Embedding Data Visualization to Short-form Videos Using Mobile Augmented Reality
Wai Tong, Kento Shigyo, Lin-Ping Yuan, Mingming Fan, Ting-Chuen Pong, Huamin Qu, Meng Xia
TVCG 2024
Ha Tien Nguyen, Conrad Borchers, Meng Xia, Vincent Aleven
ISLS 2024
Robin Schmucker, Meng Xia, Amos Azaria, Tom Mitchell
AIED 2024
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems
Robin Schmucker, Meng Xia, Amos Azaria, Tom Mitchell
NeurIPS 2023 (workshop)
Qian Zhu, Linping Yuan, Zian Xu, Leni Yang, Meng Xia, Zhuo Wang, Hai-Ning Liang, Xiaojuan Ma
IJHCS 2023
What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring
Conrad Borchers, Paulo F. Carvalho, Meng Xia, Pinyang Liu, Kenneth R. Koedinger, Vincent Aleven
ECTEL 2023
Involving Teachers in the Data-driven Improvement of Intelligent Tutors: A Prototyping Study
Meng Xia, Xinyi Zhao, Dong Sun, Yun Huang, Jonathan Seawall, Vincent Aleven
AIED 2023
Cinematography in the Metaverse: Exploring the Lighting Education on a Soundstage
Xian Xu, Wai Tong, Wei Zheng, Meng Xia, Lik-Hang Lee, Huamin Qu
IEEE VR 2023 (Workshop)
NFTeller: Dual-centric Visual Analytics for Assessing Market Performance of NFT Collectibles
Yifan Cao, Meng Xia, Kento Shigyo, Furui Cheng, Qianhang Yu, Xingxing Yang, Wei Zeng, Yang Wang, Huamin Qu
VINCI 2023
NFTeller: Dual Centric Visual Analytics of NFT Transactions
Yifan Cao, Meng Xia, Kento Shigyo, Furui Cheng, Qianhang Yu, Xingxing Yang, Hongkun Liu, Wei Zeng, Yang Wang, Huamin Qu
IEEE BigComp 2023 (Poster)
Towards an Understanding of Distributed Asymmetric Collaborative Visualization on Problem-solving
Wai Tong, Meng Xia, Kam Kwai Wong, Doug Bowman, Ting-Chuen Pong, Huamin Qu, Yalong Yang
IEEE VR 2023
Qian Zhu, Leo Yu-Ho Lo, Meng Xia, Zixin Chen, Xiaojuan Ma
CSCW 2022
Exploring Interactions with Printed Data Visualizations in Augmented Reality
Wai Tong, Zhutian Chen, Meng Xia, Leo Yu-Ho Lo, Linping Yuan, Benjamin Bach, Huamin Qu
IEEE VIS 2022 (TVCG 2023) Honorable Mention Award
BlockLens: Visual Analytics of Student Coding Behaviors in Block-Based Programming Environments
Sean Tsung, Huan Wei, Haotian Li, Meng Xia, Yong Wang, Huamin Qu
L@S 2022 (Short paper)
Meng Xia, Yankun Zhao*, Jihyeong Hong*, Mehmet Hamza Erol*, Taewook Kim, Juho Kim
L@S 2022
Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion
Meng Xia, Qian Zhu, Xingbo Wang, Fei Nie, Huamin Qu, Xiaojuan Ma
CSCW 2022
Mingzhe Li*, Franchesca Spector*, Meng Xia*, Mina Oh*, Peter Cederberg, Yuqi Gong, Kristen Shinohara, Patrick Carrington
CHI 2022
Mobile-Friendly Content Design for MOOCs: Challenges, Requirements, and Design Opportunities
Jeongyeon Kim, Yubin Choi, Meng Xia, Juho Kim
CHI 2022 (Best Paper Award)
AlgoSolve: Supporting Subgoal Learning in Algorithmic Problem-Solving with Learnersourced Microtasks
Kabdo Choi, Hyungyu Shin, Meng Xia, Juho Kim
CHI 2022
Reshika Palaniyappan Velumani, Meng Xia, Jun Han, Chaoli Wang, Alexis Lau, Huamin Qu
IUI 2022
Understanding Distributed Tutorship in Online Language Tutoring
Meng Xia, Yankun Zhao, Mehmet Hamza Erol, Jihyeong Hong, Juho Kim
ACM LAK (Learning Analytics & Knowledge) 2022
Investigating the Effects of Robot Engagement Communication on Learning from Demonstration
Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma
International Journal of Social Robotics, 2021
QLens: Visual Analytics of Multi-step Problem-solving Behaviors for Improving Question Design
Meng Xia, Reshika Palaniyappan Velumani, Yong Wang, Huamin Qu, Xiaojuan Ma
TVCG 2021
Meng Xia, Yuya Asano, Joseph Jay Williams, Huamin Qu, Xiaojuan Ma
L@S 2020
SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics
Meng Xia, Min Xu, Chuan-en Lin, Ta-ying Cheng, Huamin Qu, Xiaojuan Ma
EuroVis 2020
Predicting Student Performance in Interactive Online Question Pools Using Mouse Interactions
Huan Wei, Haotian Li, Meng Xia, Yong Wang, Huamin Qu
ACM LAK (Learning Analytics & Knowledge) 2020
Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms
Meng Xia, Huan Wei, Min Xu, Leo Yu Ho Lo, Yong Wang, Rong Zhang, Huamin Qu
IEEE VIS 2019 Poster, Best Poster Award
PeerLens: Peer-inspired Interactive Learning PathPlanning in Online Question Pool
Meng Xia, Mingfei Sun, Huan Wei, Qing Chen, Yong Wang, Lei Shi, Huamin Qu, Xiaojuan Ma
ACM CHI 2019
Generation of Thangka Relief from Line Drawings
Meng Xia, Rong Zhang, Ren Peng, Jinhui Yu
SCIENTIA SINICA Informationis 2018
Ke Xu, Meng Xia, Xing Mu, Yun Wang, Nan Cao
TVCG 2018
Exploring How Software Developers Work with Mention Bot in GitHub
Zhenhui Peng, Jeehoon Yoo, Meng Xia, Sunghun Kim, Xiaojuan Ma
Chinese CHI 2018
Estimating Emotional Intensity from Body Poses for Human-Robot Interaction
Mingfei Sun, Yiqing Mou, Hongwen Xie, Meng Xia, Michelle Wong, Xiaojuan Ma
IEEE SMC 2018
Deep Spherical Panoramic Representation for 3D Shape Recognition
Yuanli Feng, Meng Xia, Penglei Ji, Xiao Zhou, Ming Zeng, Xinguo Liu
Computer-Aided Design & Computer Graphics 2017
Designing Kinect Game based on Video Tracking
Yinglie Zhang, Meng Xia, Linqiang Chen
Computer Engineering and Applications 2015
PhD, Computer Science & Engineering, the Hong Kong Unverisity of Science and Technology, 2017.08 – 2020.08
M.E, Computer Science& Technology, Zhejiang University, 2014.08 – 2017.06
B.E., Computer Science, Hangzhou Dianzi Unversity, 2009.08 – 2013.06
July 2024, Invited talk at ChinaVis 2024: The Role of Visual Analytics in the New Era of AI-assisted Education
April 2024, Invited talk at Honor Undergraduate Program at Texas A&M: Human-AI Interaction for Personalized Online Learning
January 2024, Invited talk in School of Engineering Medicine at Texas A&M: AI and Human-AI Interaction in Medicine and Healthcare
October 2023, Invited talk at TxHCI: Human-centered Data-driven Systems for Personalized Online Learning
June 2022, Invited talk at ZJU Visulization Summer School: Interactive Visual Analytics for Personalized Online Learning
November 2021, Invited talk at KAIST HCI Course: Data Visualization and Its Application in Online Education
August 2020, PhD Defense at HKUST: Bridge the Gap between Educators and Students in Online Learning: A Visualization Approach based on Problem-solving Data
December 2018, PhD Qulifying Examination at HKUST: A Survey on Visual Analytics of Online Learning Data
Instructor at Texa A&M, Spring 2024, Human-AI Interaction (689)
Instuctor at CMU, Fall 2022, Personalized Online Learning (05432/05832)
Teaching Assistant Coordinator at HKUST, Spring 2020
Teaching Assistant at HKUST for:
Computer Organization, Spring 2018
Computer Organization, Fall 2018
Honorable Mention Award at IEEE VIS 2022
Best Paper Award at ACM CHI 2022
SENG TOP RPg Award at HKUST, 2018-2019
Best Poster Award at IEEE VIS 2019
Overseas Research Award at HKUST, 2018-2019
Youth Editor of the Journal of Visual Informatics.
Program Co-Chair for Learning @ Scale 2024.
Area Chair for CHI 2023, 2024; CHI (Late Breaking Work) 2022
Program committee member for IEEE VIS 2021, 2022; IUI 2022; CSCW 2023
Reviewer of CHI 2019, 2020, 2021, 2022, 2023, 2024; VIS 2020, 2021, 2022, 2023; CSCW 2021, 2022, 2023; ChinaVis 2019, 2020, 2021, 2022; LAK 2022