Human Motion Prediction
Learning plausible future human poses and trajectories from observed motion sequences.
RESEARCHER · HUMAN MOTION
Predicting motion. Understanding interaction.
I am a master's student in Computer Science and Technology at Peking University. My research focuses on human motion prediction, with an interest in how people, robots, and context shape future movement.
- Based at
- Peking University
- Focus
- Human Motion Prediction
Exploring the structure of future motion
01
RESEARCH
From observed poses to meaningful futures.
Human–Robot Collaboration
Modeling human–robot interactions so robots can anticipate and respond to human movement.
Interaction Modeling
Capturing local and global spatio-temporal dependencies in dynamic scenes.
02
SELECTED PUBLICATION
Research at the intersection of motion and interaction.
2026
IEEE TIP
JOURNAL ARTICLE
Adaptive Interaction Network for Human Motion Prediction During Human–Robot Collaboration
IEEE Transactions on Image Processing, vol. 35, pp. 8484–8496, 2026.
AINet jointly models human and robot trajectories, combining local–global spatial interaction with adaptive feature aggregation for robot-aware human motion prediction.
03
EDUCATION
Academic journey.
-
2024 — Present
Peking University
M.S. in Computer Science and Technology
-
2020 — 2024
Beijing University of Posts and Telecommunications
B.Eng. in Artificial Intelligence
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