Ge Wu

PhD student, Nankai University, Nankai University

Joined

May 2023

Names

Ge Wu (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

Nankai University, Nankai University (nankai.edu.cn)

2023 – 2028

Undergrad student

Henan University, Henan Normal University (henannu.edu.cn)

2019 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Xiang Li

2023 – Present

Expertise

Large Vision-Language Model

2023 – Present

Deep Learning

2019 – 2028

Publications

Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Framework
Wenhao Tang, Heng Fang, Ge Wu, Xiang Li, Ming-Ming Cheng
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
DKD: Directional Knowledge Distillation for One-Step Text-to-Image Generation
Lei Wang, Yang Cheng, Senmao Li, Ge Wu, Yaxing Wang, jian Yang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance
Minxing Luo, Linlong Fan, Wang Qiushi, Ge Wu, Yiyan Luo, Yuhang Yu, Jinwei Chen, Yaxing Wang, Qingnan Fan, jian Yang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
Shen Zhang, Siyuan Liang, Yaning Tan, Zhaowei Chen, Linze Li, Ge Wu, Yuhao Chen, Shuheng Li, Zhenyu Zhao, Caihua Chen, Jiajun Liang, Yao Tang
- NeurIPS 2025 poster
- Readers: Everyone
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, jian Yang, Ming-Ming Cheng, Xiang Li
- NeurIPS 2025 oral
- Readers: Everyone
Cascade Prompt Learning for Vision-Language Model Adaptation
Ge Wu, Xin Zhang, Zheng Li, Zhaowei Chen, Jiajun Liang, Jian Yang, Xiang Li
- ECCV (50) 2024
- Readers: Everyone
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li, Ge Wu, Lingfeng Yang, Wenhai Wang, Renjie Song, Jian Yang
- Published: 01 Jan 2023, Last Modified: 17 May 2023
- CoRR 2023
- Readers: Everyone

Co-Authors

View all 37 co-authors

Ge Wu

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Framework

DKD: Directional Knowledge Distillation for One-Step Text-to-Image Generation

Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance

LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding

Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think

Cascade Prompt Learning for Vision-Language Model Adaptation

A Survey of Historical Learning: Learning Models with Learning History

Co-Authors