Balancing of Peak Currents Between Paralleled SiC MOSFETs by Drive-Source Resistors and Coupled Power-Source Inductors. - Yincan Mao; Zichen Miao; Chi-Ming Wang; Khai D. T. Ngo (IEEE Trans. Ind. Electron., 2017)

Detection of Cross-Turn-On and Selection of Off Drive Voltage for an SiC Power Module. - Zichen Miao; Yincan Mao; Chi-Ming Wang; Khai D. T. Ngo (IEEE Trans. Ind. Electron., 2017)

AED-Net: An Abnormal Event Detection Network. - Tian Wang 002; Zichen Miao; Yuxin Chen; Yi Zhou 011; Guangcun Shan; Hichem Snoussi (CoRR, 2019)

Graph Neural Networks with Low-rank Learnable Local Filters. - Xiuyuan Cheng; Zichen Miao; Qiang Qiu (CoRR, 2020)

Adaptive Convolutions with Per-pixel Dynamic Filter Atom. - Ze Wang 008; Zichen Miao; Jun Hu; Qiang Qiu 001 (ICCV, 2021)

Graph Convolution with Low-rank Learnable Local Filters. - Xiuyuan Cheng; Zichen Miao; Qiang Qiu (ICLR, 2021)

Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks. - Zichen Miao; Ze Wang 008; Xiuyuan Cheng; Qiang Qiu 001 (NeurIPS, 2021)

Image Generation using Continuous Filter Atoms. - Ze Wang 008; Seunghyun Hwang; Zichen Miao; Qiang Qiu 001 (NeurIPS, 2021)

Learning to Learn Dense Gaussian Processes for Few-Shot Learning. - Ze Wang 008; Zichen Miao; Xiantong Zhen; Qiang Qiu 001 (NeurIPS, 2021)

Continual Learning with Filter Atom Swapping. - Zichen Miao; Ze Wang 008; Wei Chen 124; Qiang Qiu 001 (ICLR, 2022)

Active Cross-Commutated (ACC) Buck Converter. - Ting Ge; Zichen Miao; Lanbing Liu (IEEE Trans. Ind. Electron., 2022)

Inner Product-based Neural Network Similarity. - Wei Chen 124; Zichen Miao; Qiang Qiu 001 (NeurIPS, 2023)

Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. - Zichen Miao; Jiang Wang 012; Ze Wang 008; Zhengyuan Yang; Lijuan Wang; Qiang Qiu 001; Zicheng Liu 001 (CVPR, 2024)

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

Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. - Zichen Miao; Wei Chen 124; Qiang Qiu 001 (CVPR, 2025)

Large Convolutional Model Tuning via Filter Subspace. - Wei Chen 124; Zichen Miao; Qiang Qiu 001 (ICLR, 2025)

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. - Zichen Miao; Zhengyuan Yang; Kevin Lin; Ze Wang 008; Zicheng Liu 001; Lijuan Wang; Qiang Qiu 001 (ICLR, 2025)

DiffOG: Differentiable Policy Trajectory Optimization with Generalizability. - Zhengtong Xu; Zichen Miao; Qiang Qiu; Zhe Zhang; Yu She (CoRR, 2025)

Sparse Fine-Tuning of Transformers for Generative Tasks. - Wei Chen; Jingxi Yu; Zichen Miao; Qiang Qiu (CoRR, 2025)