A Unified Access Manner for Storage-Class Memory. - Yuchuan Tian; Fang Wang 001 (ICPADS, 2016)

Managing Persistent Objects with a Unified Access Framework in Persistent Memory. - Yuchuan Tian; Fang Wang 001 (ICPADS, 2017)

Using DRAM Buffer to Reduce Persistence and Consistence Overheads of Persistent Memory. - Yuchuan Tian; Fang Wang 001 (Wirel. Pers. Commun., 2018)

Towards Higher Ranks via Adversarial Weight Pruning. - Yuchuan Tian; Hanting Chen; Tianyu Guo 001; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2023)

Image Processing GNN: Breaking Rigidity in Super-Resolution. - Yuchuan Tian; Hanting Chen; Chao Xu 006; Yunhe Wang 001 (CVPR, 2024)

Multiscale Positive-Unlabeled Detection of AI-Generated Texts. - Yuchuan Tian; Hanting Chen; Xutao Wang; Zheyuan Bai; Qinghua Zhang; Ruifeng Li; Chao Xu 006; Yunhe Wang 001 (ICLR, 2024)

DiJiang: Efficient Large Language Models through Compact Kernelization. - Hanting Chen; Liuzhi Cheng; Xutao Wang; Yuchuan Tian; Yunhe Wang 001 (ICML, 2024)

Rethinking Optimization and Architecture for Tiny Language Models. - Yehui Tang; Kai Han 002; Fangcheng Liu; Yunsheng Ni; Yuchuan Tian; Zheyuan Bai; Yi-Qi Hu; Sichao Liu; Shangling Jui; Yunhe Wang 001 (ICML, 2024)

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. - Yuchuan Tian; Zhijun Tu; Hanting Chen; Jie Hu 021; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2024)

DiJiang: Efficient Large Language Models through Compact Kernelization. - Hanting Chen; Zhicheng Liu 001; Xutao Wang; Yuchuan Tian; Yunhe Wang 001 (CoRR, 2024)

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation. - Yuchuan Tian; Jianhong Han; Hanting Chen; Yuanyuan Xi; Guoyang Zhang; Jie Hu 021; Chao Xu 006; Yunhe Wang 001 (CoRR, 2024)

Learning Quantized Adaptive Conditions for Diffusion Models. - Yuchen Liang; Yuchuan Tian; Lei Yu; Huao Tang; Jie Hu 021; Xiangzhong Fang; Hanting Chen (CoRR, 2024)

MEC-DA: Memory-Efficient Collaborative Domain Adaptation for Mobile Edge Devices. - Xiaochen Zhou; Yuchuan Tian; Xudong Wang 001 (IEEE Trans. Mob. Comput., 2024)

DiC: Rethinking Conv3x3 Designs in Diffusion Models. - Yuchuan Tian; Jing Han; Chengcheng Wang; Yuchen Liang; Chao Xu 006; Hanting Chen (CVPR, 2025)

Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping. - Ning Ding; Jing Han; Yuchuan Tian; Chao Xu 006; Kai Han 002; Yehui Tang (CoRR, 2025)

U-REPA: Aligning Diffusion U-Nets to ViTs. - Yuchuan Tian; Hanting Chen; Mengyu Zheng; Yuchen Liang; Chao Xu 006; Yunhe Wang 001 (CoRR, 2025)

Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models. - Chengcheng Wang; Jianyuan Guo; Hongguang Li; Yuchuan Tian; Ying Nie; Chang Xu; Kai Han (CoRR, 2025)