Scholar
Zhengyuan Li
Google Scholar ID: HXN7DNoAAAAJ
Purdue University
Human Motion Generation
Embodied AI
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Citations & Impact
All-time
Citations
190
H-index
3
i10-index
2
Publications
5
Co-authors
10
list available
Contact
Email
li5280@purdue.edu
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Publications
8 items
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision
2026
Cited
0
Decoding Children's Gait Behavior
2026
Cited
0
PoseShield: Neural Collision Fields for Human Self-Collision Resolution
2026
Cited
0
Toward Cognitive Supersensing in Multimodal Large Language Model
2026
Cited
0
PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation
arXiv.org · 2026
Cited
0
MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation
2025
Cited
0
SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
2025
Cited
0
EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering
arXiv.org · 2024
Cited
4
Resume (English only)
Co-authors
10 total
Liangyan Gui
University of Illinois Urbana-Champaign
Yuxiong Wang
University of Illinois Urbana-Champaign
Sirui Xu
University of Illinois at Urbana-Champaign
Aniket Bera
Professor of Computer Science, Purdue University
Kai Cheng
CS PhD Student, Purdue University
Gang Wang
Associate Professor, University of Illinois at Urbana-Champaign
Xingpeng Sun
Purdue University
Byung-Cheol Min
Professor of Computer Science and Intelligent Systems Engineering, Indiana University Bloomington
