| 2025 | CVPR | Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. | Zichen Miao, Wei Chen, Qiang Qiu |
| 2025 | ICCV | Sparse Fine-Tuning of Transformers for Generative Tasks. | Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu |
| 2025 | ICDM | TALENT: Table VQA via Augmented Language-Enhanced Natural-Text Transcription. | Guo Yutong, Wanying Wang, Yue Wu, Zichen Miao, Haoyu Wang |
| 2025 | ICLR | Large Convolutional Model Tuning via Filter Subspace. | Wei Chen, Zichen Miao, Qiang Qiu |
| 2025 | ICLR | Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. | Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu |
| 2024 | CVPR | Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. | Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu |
| 2024 | ICLR | Training Bayesian Neural Networks with Sparse Subspace Variational Inference. | Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang |
| 2022 | ICLR | Continual Learning with Filter Atom Swapping. | Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu |
| 2021 | ICCV | Adaptive Convolutions with Per-pixel Dynamic Filter Atom. | Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu |
| 2021 | ICLR | Graph Convolution with Low-rank Learnable Local Filters. | Xiuyuan Cheng, Zichen Miao, Qiang Qiu |