Tian, Yuchuan

9 publications

CVPR 2025 DiC: Rethinking Conv3x3 Designs in Diffusion Models Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen

NeurIPS 2025 U-REPA: Aligning Diffusion U-Nets to ViTs Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang

ICML 2024 DiJiang: Efficient Large Language Models Through Compact Kernelization Hanting Chen, Liu Zhicheng, Xutao Wang, Yuchuan Tian, Yunhe Wang

CVPR 2024 Image Processing GNN: Breaking Rigidity in Super-Resolution Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang

ECCV 2024 Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang, Yuchuan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

ICLR 2024 Multiscale Positive-Unlabeled Detection of AI-Generated Texts Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang

ICML 2024 Rethinking Optimization and Architecture for Tiny Language Models Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang

NeurIPS 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

NeurIPS 2023 Towards Higher Ranks via Adversarial Weight Pruning Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang