Hand-Object Interaction in the Age of Large Foundation Models: Reconstruction, Generation, and Embodied Transfer
IEEE Transactions on Visualization and Computer Graphics (TVCG), CCF-A · Under review · Repository
About Me
Hello! I am Weiquan Lin (林伟权), a PhD student in the School of Artificial Intelligence at Xidian University. I am also part of a joint training program at the Beijing Zhongguancun Academy.
I am currently working with Prof. Xingyu Chen on controllable hand-object interaction and world models. At Xidian University, Prof. Xu Tang, Vice Dean of the School of Artificial Intelligence, has been my master's and doctoral supervisor. My research interests lie at the intersection of robotics, 3D hand-object interaction, and AI agents, with a focus on building intelligent systems that can perceive, reason, and act in the physical world.
Previously, I was an algorithm engineer at CVTE Central Research Institute and a research assistant in the LLM Group at The Hong Kong University of Science and Technology (Guangzhou).
Researchers interested in collaboration are welcome to contact me at s-lwq25@bza.edu.cn.
🔥 News
- Open-sourced the first high-quality survey in the HOI field, Hand-Object Interaction in the Age of Large Foundation Models: Reconstruction, Generation, and Embodied Transfer, together with its repository.
- GeoHand, a geometry-prior guided method for monocular 3D hand reconstruction, was accepted by ACM MM 2026.
🧭 Research Interests
Robotics & World ModelsRepresentations and priors for reliable embodied intelligence.
Hand-Object Interaction3D reconstruction, generation, contact modeling, and embodied transfer.
AI AgentsLLM agents for research discovery, ideation, and human-AI collaboration.
📝 Selected Publications
GeoHand: Unlocking Prior Geometry Knowledge for Monocular 3D Hand Reconstruction
ACM Multimedia (ACM MM), CCF-A · Accepted
Multi-pretext Tasks Prototypes Guided Dynamic Contrastive Learning Network for Few-shot Remote Sensing Scene Classification
IEEE Transactions on Geoscience and Remote Sensing (TGRS), SCI Q1
Class-level Prototype Guided Multi-Scale Feature Learning for Remote Sensing Scene Classification with Limited Labels
IEEE Transactions on Geoscience and Remote Sensing (TGRS), SCI Q1
💼 Work Experience
2025.02 — 2025.08
The Hong Kong University of Science and Technology (Guangzhou)
Research Assistant · LLM Group, DSA · Advisor: Prof. Lei Chen
Contributed to the research and development of campus intelligent agents and AI agents for financial invoice processing systems.
2023.07 — 2025.01
CVTE Central Research Institute
Algorithm Engineer · OCR Department
Delivered handwriting recognition, multimodal layout analysis, whiteboard element interaction, and AI annotation systems from algorithm research to Seewo (希沃) educational whiteboard and MAXHUB deployment.
Achievements:Micro-innovation awards × 3 · product launch · internal innovation showcases
🏆 Awards & Honors
- 首届 AI 科学家竞赛科研构思赛道亚军
- 主导的“AI批注系统”项目荣获 CVTE中央研究院微创新二等奖
- 深度参与的“板书元素拖拽系统”项目荣获 CVTE中央研究院微创新二等奖
- 深度参与的“手写识别轨迹”项目荣获 CVTE中央研究院微创新三等奖
- 西安电子科技大学优秀硕士学位
- 陕西省优秀毕业生
- 国家奖学金
- 西安电子科技大学校长奖学金提名奖（全校三名入围硕士之一）
- 西安电子科技大学盛路奖学金
- 研究生学业奖学金一等奖
- 连续两届获评“优秀研究生”
🎓 Education
PhD in Artificial IntelligenceXidian University · Beijing Zhongguancun Academy
Master in Computer ScienceXidian University