papers
Publications (12)
cs.LG2025
In-Context Compositional Learning via Sparse Coding Transformer
Wei Chen, Jingxi Yu, Zichen Miao +1
cs.CL2025
TALENT: Table VQA via Augmented Language-Enhanced Natural-text Transcription
Guo Yutong, Wanying Wang, Yue Wu +2
stat.ML2020
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng, Zichen Miao, Qiang Qiu
cs.RO2025
DiffOG: Differentiable Policy Trajectory Optimization with Generalizability
Zhengtong Xu, Zichen Miao, Qiang Qiu +2
cs.CV2025
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao, Zhengyuan Yang, Kevin Lin +4
cs.CV2021
Adaptive Convolutions with Per-pixel Dynamic Filter Atom
Ze Wang, Zichen Miao, Jun Hu +1
cs.CV2019
AED-Net: An Abnormal Event Detection Network
Tian Wang, Zichen Miao, Yuxin Chen +3
cs.CV2025
Large Convolutional Model Tuning via Filter Subspace
Wei Chen, Zichen Miao, Qiang Qiu
cs.RO2026
PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation
Pengyuan Guo, Zhonghao Mai, Zhengtong Xu +8
cs.LG2024
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Junbo Li, Zichen Miao, Qiang Qiu +1
cs.CV2025
Sparse Fine-Tuning of Transformers for Generative Tasks
Wei Chen, Jingxi Yu, Zichen Miao +1
cs.CV2025
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Zichen Miao, Wei Chen, Qiang Qiu