Minghao Fu

28 papers A* 7Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
DTL: Parameter- and Memory-Efficient Disentangled Vision Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Minghao Fu, Ke Zhu, Zonghao Ding, Jianxin Wu
2025 A* conf
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation.
ICML
Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 J jnl
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation.
CoRR
Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 J jnl
Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models.
CoRR
Minghao Fu, Guo-Hua Wang, Tianyu Cui, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 — conf
Dual DTL: Double-Side Compact Transfer Networks for Efficient ViT Adaptation.
PRCV (2)
Zonghao Ding, Minghao Fu, Jianxin Wu
2025 J jnl
Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality.
CoRR
Jie Shao, Ke Zhu, Minghao Fu, Guohua Wang, Jianxin Wu
2025 A* conf
Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation.
CVPR
Ningyuan Tang, Minghao Fu, Jianxin Wu
2025 J jnl
Ovis-Image Technical Report.
CoRR
Guo-Hua Wang, Liangfu Cao, Tianyu Cui, Minghao Fu, Xiaohao Chen, Pengxin Zhan, Jianshan Zhao, Lan Li, Bowen Fu, Jiaqi Liu, Qing-Guo Chen
2025 J jnl
Ovis-U1 Technical Report.
CoRR
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
2025 A* conf
Quantization without Tears.
CVPR
Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu
2025 J jnl
QwT-v2: Practical, Effective and Efficient Post-Training Quantization.
CoRR
Ningyuan Tang, Minghao Fu, Hao Yu, Jianxin Wu
2025 J jnl
TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance.
CoRR
Minghao Fu, Guo-Hua Wang, Xiaohao Chen, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 J jnl
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities.
CoRR
Xinjie Zhang, Jintao Guo, Shanshan Zhao, Minghao Fu, Lunhao Duan, Guo-Hua Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2024 A* conf
DTL: Disentangled Transfer Learning for Visual Recognition.
AAAI
Minghao Fu, Ke Zhu, Jianxin Wu
2024 A* conf
Instance-based Max-margin for Practical Few-shot Recognition.
CVPR
Minghao Fu, Ke Zhu
2024 J jnl
Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning.
CoRR
Ningyuan Tang, Minghao Fu, Ke Zhu, Jianxin Wu
2024 J jnl
Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation.
CoRR
Ningyuan Tang, Minghao Fu, Jianxin Wu
2024 J jnl
Quantization without Tears.
CoRR
Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu
2024 — conf
Rectify the Regression Bias in Long-Tailed Object Detection.
ECCV (28)
Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu
2024 J jnl
Rectify the Regression Bias in Long-Tailed Object Detection.
CoRR
Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu
2024 A* conf
Unified Low-rank Compression Framework for Click-through Rate Prediction.
KDD
Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
2024 J jnl
Unified Low-rank Compression Framework for Click-through Rate Prediction.
CoRR
Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
2023 J jnl
DTL: Disentangled Transfer Learning for Visual Recognition.
CoRR
Minghao Fu, Ke Zhu, Jianxin Wu
2023 J jnl
Instance-based Max-margin for Practical Few-shot Recognition.
CoRR
Minghao Fu, Ke Zhu, Jianxin Wu
2023 A* conf
Multi-Label Self-Supervised Learning with Scene Images.
ICCV
Ke Zhu, Minghao Fu, Jianxin Wu
2023 J jnl
Multi-Label Self-Supervised Learning with Scene Images.
CoRR
Ke Zhu, Minghao Fu, Jianxin Wu
2022 — conf
Worst Case Matters for Few-Shot Recognition.
ECCV (20)
Minghao Fu, Yun-Hao Cao, Jianxin Wu
2022 J jnl
Worst Case Matters for Few-Shot Recognition.
CoRR
Minghao Fu, Yun-Hao Cao, Jianxin Wu