Wenqiang Zu

PhD student, Institute of automation, Chinese Academy of Sciences

Joined

September 2024

Names

Wenqiang Zu (Preferred)

Emails

****@ia.ac.cn (Confirmed)

Personal Links

Career & Education History

PhD student

Institute of automation, Chinese Academy of Sciences (ia.ac.cn)

2022 – 2026

Advisors, Relations & Conflicts

Coauthor

Shenghao Xie

2023 – 2025

PhD Advisor

Lei Ma

2022 – 2025

Expertise

medical image analysis

2023 – 2025

vision foundation model

2023 – 2025

fine-tuning

2023 – 2025

Publications

Exploring Reprensentation Invariance in Finetuning
Wenqiang Zu, Shenghao Xie, Hao Chen, Zhiqiang Chen, Liwen Hu, Yuanhao Xi, Yiming Liang, Junliang Ye, Bo Lei, Tiejun Huang, Guoqi Li, Lei Ma
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks
Junliang Ye, Shenghao Xie, Ruowen Zhao, Zhengyi Wang, Hongyu Yan, Wenqiang Zu, Lei Ma, Jun Zhu
- ICLR 2026 Poster
- Readers: Everyone
Aligning Instruction Tuning with Pre-training
Yiming Liang, Tianyu Zheng, Xinrun Du, Ge Zhang, Jiaheng Liu, Xingwei Qu, Wenqiang Zu, Xingrun Xing, Chujie Zheng, Lei Ma, Wenhu Chen, Guoyin Wang, Zhaoxiang Zhang, Wenhao Huang, Xiang Yue, Jiajun Zhang
- CoRR 2025
- Readers: Everyone
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective
Shenghao Xie, Wenqiang Zu, Mingyang Zhao, Duo Su, Shilong Liu, Ruohua Shi, Guoqi Li, Shanghang Zhang, Lei Ma
- CoRR 2024
- Readers: Everyone
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images
Wenqiang Zu, Shenghao Xie, Qing Zhao, Guoqi Li, Lei Ma
- CoRR 2024
- Readers: Everyone
Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images
Wenqiang Zu, Shenghao Xie, Qing Zhao, Guoqi Li, Lei Ma
- Medical Image Anal. 2024
- Readers: Everyone

Co-Authors

View all 34 co-authors

Wenqiang Zu

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Exploring Reprensentation Invariance in Finetuning

Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks

Aligning Instruction Tuning with Pre-training

Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective

Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images

Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images

Co-Authors