Fu, Minghao

13 publications

ICLR 2026 Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making Fan Feng, Selena Ge, Minghao Fu, Zijian Li, Yujia Zheng, Zeyu Tang, Yingyao Hu, Biwei Huang, Kun Zhang

ICLR 2026 PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman Khan, Peter Spirtes, Kun Zhang

ICML 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

CVPR 2025 Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation Ningyuan Tang, Minghao Fu, Jianxin Wu

NeurIPS 2025 Online Time Series Forecasting with Theoretical Guarantees Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang

CVPR 2025 Quantization Without Tears Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu

ICCV 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

NeurIPS 2025 Towards Identifiability of Hierarchical Temporal Causal Representation Learning Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang

AAAI 2024 DTL: Disentangled Transfer Learning for Visual Recognition Minghao Fu, Ke Zhu, Jianxin Wu

CVPR 2024 Instance-Based Max-Margin for Practical Few-Shot Recognition Minghao Fu, Ke Zhu

ECCV 2024 Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu

ICCV 2023 Multi-Label Self-Supervised Learning with Scene Images Ke Zhu, Minghao Fu, Jianxin Wu

ECCV 2022 Worst Case Matters for Few-Shot Recognition Minghao Fu, Yun-Hao Cao, Jianxin Wu