Minghao Fu

According to our database, Minghao Fu authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models.

Minghao Fu, Guo-Hua Wang, Tianyu Cui, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

CoRR, November, 2025

Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality.

Jie Shao, Ke Zhu, Minghao Fu, Guohua Wang, Jianxin Wu

CoRR, August, 2025

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance.

Minghao Fu, Guo-Hua Wang, Xiaohao Chen, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

CoRR, July, 2025

Ovis-U1 Technical Report.

Guo-Hua Wang, Shanshan Zhao, Xinjie Zhang, Liangfu Cao, Pengxin Zhan, Lunhao Duan, Shiyin Lu, Minghao Fu, Xiaohao Chen, Jianshan Zhao, Yang Li, Qing-Guo Chen

CoRR, June, 2025

QwT-v2: Practical, Effective and Efficient Post-Training Quantization.

Ningyuan Tang, Minghao Fu, Hao Yu, Jianxin Wu

CoRR, May, 2025

Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities.

Xinjie Zhang, Jintao Guo, Shanshan Zhao, Minghao Fu, Lunhao Duan, Guo-Hua Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

CoRR, May, 2025

CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation.

Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation.

Ningyuan Tang, Minghao Fu, Jianxin Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Quantization without Tears.

Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation.

Ningyuan Tang, Minghao Fu, Jianxin Wu

CoRR, 2024

Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning.

Ningyuan Tang, Minghao Fu, Ke Zhu, Jianxin Wu

CoRR, 2024

Unified Low-rank Compression Framework for Click-through Rate Prediction.

Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rectify the Regression Bias in Long-Tailed Object Detection.

Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu

Proceedings of the Computer Vision - ECCV 2024, 2024

Instance-based Max-margin for Practical Few-shot Recognition.

Minghao Fu, Ke Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DTL: Disentangled Transfer Learning for Visual Recognition.

Minghao Fu, Ke Zhu, Jianxin Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Instance-based Max-margin for Practical Few-shot Recognition.

Minghao Fu, Ke Zhu, Jianxin Wu

CoRR, 2023

Multi-Label Self-Supervised Learning with Scene Images.

Ke Zhu, Minghao Fu, Jianxin Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Worst Case Matters for Few-Shot Recognition.

Minghao Fu, Yun-Hao Cao, Jianxin Wu

Proceedings of the Computer Vision - ECCV 2022, 2022