About

Jen-Shuo Liu is a researcher and engineer at MediaTek, working at the intersection of extended reality (XR), human-computer interaction, visual computing, and video and image processing. Previously, he was with Samsung Research America, where he worked on video processing and visual technologies. He received his Ph.D. in Computer Science from Columbia University, where his research focused on augmented and virtual reality interfaces, human attention and perception, and immersive systems for task guidance and teleoperation.

His research interests span augmented and virtual reality, human-computer interaction, visual perception, video and image processing, computational photography, and human-centered immersive systems. His work has explored topics including perceptual and attention-aware XR interfaces, immersive task guidance, remote collaboration and teleoperation, and visual computing systems.

Jen-Shuo is an active contributor to the IEEE VR and ISMAR communities. He currently serves as Standardization Chair for IEEE VR 2026 and ISMAR 2026 and as an Ombudsperson for IEEE VR 2027. His recent community roles include organizing and moderating the IEEE VR 2026 panel “Standardization in XR/VR: Challenges and Priorities Beyond Terminology,” chairing Pitch Your Lab at ISMAR 2025 and 2026, and serving as Publicity and Communications Chair for ISMAR 2024 and 2025. He has also served as a doctoral consortium mentor and session chair for IEEE VR and ISMAR, as well as a committee member for the CHI Late-Breaking Work track.

Beyond his research and professional work, Jen-Shuo co-organizes XRStand (xrstandards.org), a community initiative connecting academia, industry, and standards organizations to advance practical, interoperable, and human-centered XR technologies.

Community Leadership & Service

Conference Organization & Leadership

  • XR Standardization — xrstandards.org
  • Standardization Chair: ISMAR 2026, IEEE VR 2026
  • Panel Organizer & Moderator: IEEE VR 2026 (“Standardization in XR/VR: Challenges and Priorities Beyond Terminology”)
  • Tutorial Organizer: ISMAR 2026 (“XRStand 2026: XR Standards and Open Science Practices”)
  • Ombudsperson: IEEE VR 2027
  • Pitch-Your-Lab Chair: ISMAR 2026, ISMAR 2025
  • Publicity & Communications Chair: ISMAR 2025, ISMAR 2024

Program Committee & Mentorship

  • Program Committee: ACM CHI 2023–2025 (Late-Breaking Work Track)
  • Doctoral Consortium Mentor & Session Chair: IEEE VR, ISMAR

Conference Reviewer

IEEE VR, ISMAR, ACM CHI, SIGGRAPH, SIGGRAPH Asia XR, UIST, VRST, C&C

Journal Reviewer

Springer MTAP, Springer C&G, IJHCI

Selected Publications

For a complete list of peer-reviewed papers, please visit Publications.

ISMAR 2026
Delegate the Details: Flexible Assembly Constraint Authoring for Collaborative XR
B. Yang, X. He, C. Zou, J.-S. Liu, B. Tversky, and S. Feiner
IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2026) To appear
IEEE VR 2024
Asynchronously Assigning, Monitoring, and Managing Assembly Goals in Virtual Reality for High-Level Robot Teleoperation
S. Aoyama*, J.-S. Liu*, P. Wang, S. Jain, X. Wang, J. Xu, S. Song, B. Tversky, and S. Feiner (*Equal contribution)
IEEE Conference on Virtual Reality and 3D User Interfaces (VR 2024)
ISMAR 2023
Cueing Sequential 6DoF Rigid-Body Transformations in Augmented Reality
J.-S. Liu, B. Tversky, and S. Feiner
IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2023)
TVCG 2023
Multi-Level Precues for Guiding Tasks Within and Between Workspaces in Spatial Augmented Reality
B. Volmer, J.-S. Liu, B. Matthews, I. Bornkessel-Schlesewsky, S. Feiner, and B. Thomas
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
TVCG 2022
Precueing Object Placement and Orientation for Manual Tasks in Augmented Reality
J.-S. Liu, B. Tversky, and S. Feiner
IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 28, no. 11, 2022
ISMAR 2022
Adaptive Visual Cues for Guiding a Bimanual Unordered Task in Virtual Reality
J.-S. Liu*, P. Wang*, B. Tversky, and S. Feiner (*Equal contribution)
IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2022)
TVCG 2021
Using Multi-Level Precueing to Improve Performance in Path-Following Tasks in Virtual Reality
J.-S. Liu, C. Elvezio, B. Tversky, and S. Feiner
IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 27, no. 11, 2021
SIGGRAPH Asia 2016
Blocking Harmful Blue Light While Preserving Image Color Appearance
K.-T. Shih, J.-S. Liu, F. Shyu, S.-L. Yeh, and H. H. Chen
ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2016), vol. 35, no. 6, 2016

Work Experience

MediaTek · Staff Engineer
2026.05 – Present

Focus on system-level issue triage, image processing performance analysis, and technical enablement for advanced computing platforms.

Samsung Research America · Senior Engineer
2024.07 – 2025.06
  • Developed HDR image/video color processing algorithms for TV displays.
  • Led a project on immersive video processing with four software engineers.
Nokia Bell Labs · Localization and Sensing Intern
2021.06 – 2021.08

Developed algorithms for building an environment point-cloud model and localizing AR devices in the model.

Education

Columbia University · Ph.D. in Computer Science, M.Phil. in Computer Science
2017.09 – 2024.05

Advisor: Prof. Steven Feiner (Computer Graphics and User Interfaces Lab)

Dissertation: Precueing Manual Tasks in Augmented and Virtual Reality

National Taiwan University · M.S. in Communication Engineering, B.S. in Electrical Engineering
2010.09 – 2016.01

Thesis: Enhancement and Speedup of Photometric Compensation for Projectors by Inter-Pixel Decoupling and Calibration Pattern Reduction

Awards

  • 🏆 NYC Media Lab Summit 2019, Top Prize, Future Interfaces & Spatial Computing Category2019.09
  • 🏆 Taiwan Government Scholarship to Study Abroad2019.06
  • 🏆 Best Demo Award, Columbia University Data Science Day 20192019.04
  • 🏆 NYC Media Lab Summit 2018, Creative Award, XR Category2018.09
  • 🏆 Chinese Institute of Electrical Engineering Young Author Best Thesis Award, Second Prize2016.10
  • 🏆 ICME 2015 Best Demo Award2015.06