Miao, Zichen

15 publications

CVPR 2025 Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models Zichen Miao, Wei Chen, Qiang Qiu

NeurIPS 2025 In-Context Compositional Learning Vis Sparse Coding Transformer Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu

ICLR 2025 Large Convolutional Model Tuning via Filter Subspace Wei Chen, Zichen Miao, Qiang Qiu

ICCV 2025 Sparse Fine-Tuning of Transformers for Generative Tasks Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu

ICLR 2025 Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu

ICLR 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang

CVPR 2024 Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu

NeurIPS 2023 Inner Product-Based Neural Network Similarity Wei Chen, Zichen Miao, Qiang Qiu

NeurIPSW 2023 Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang

ICLR 2022 Continual Learning with Filter Atom Swapping Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu

ICCV 2021 Adaptive Convolutions with Per-Pixel Dynamic Filter Atom Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu

ICLR 2021 Graph Convolution with Low-Rank Learnable Local Filters Xiuyuan Cheng, Zichen Miao, Qiang Qiu

NeurIPS 2021 Image Generation Using Continuous Filter Atoms Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu

NeurIPS 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu

NeurIPS 2021 Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu