Yuchuan Tian

According to our database, Yuchuan Tian authored at least 22 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DLLM Agent: See Farther, Run Faster.

Hui-Ling Zhen, Weizhe Lin, Renxi Liu, Kai Han, Yiming Li, Yuchuan Tian, Hanting Chen, Xiaoguang Li, Xiaosong Li, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Youliang Yan, Peifeng Qin, Jun Wang, Yu Wang, Dacheng Tao, Yunhe Wang

CoRR, February, 2026

Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants.

Yunhe Wang, Kai Han, Huiling Zhen, Yuchuan Tian, Hanting Chen, Yongbing Huang, Yufei Cui, Yingte Shu, Shan Gao, Ismail Elezi, Roy Vaughan Miles, Songcen Xu, Feng Wen, Chao Xu, Sinan Zeng, Dacheng Tao

CoRR, January, 2026

Deferred Commitment Decoding for Diffusion Language Models.

Yingte Shu, Yuchuan Tian, Chao Xu, Yunhe Wang, Hanting Chen

CoRR, January, 2026

2025

From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs.

Yuchuan Tian, Yuchen Liang, Jiacheng Sun, Shuo Zhang, Guangwen Yang, Yingte Shu, Sibo Fang, Tianyu Guo, Kai Han, Chao Xu, Hanting Chen, Xinghao Chen, Yunhe Wang

CoRR, December, 2025

Nexus: Higher-Order Attention Mechanisms in Transformers.

Hanting Chen, Chong Zhu, Kai Han, Yuchuan Tian, Yuchen Liang, Tianyu Guo, Xinghao Chen, Dacheng Tao, Yunhe Wang

CoRR, December, 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, May, 2025

U-REPA: Aligning Diffusion U-Nets to ViTs.

Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang

CoRR, March, 2025

Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping.

Ning Ding, Jing Han, Yuchuan Tian, Chao Xu, Kai Han, Yehui Tang

CoRR, March, 2025

DiC: Rethinking Conv3x3 Designs in Diffusion Models.

Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MEC-DA: Memory-Efficient Collaborative Domain Adaptation for Mobile Edge Devices.

Xiaochen Zhou, Yuchuan Tian, Xudong Wang

IEEE Trans. Mob. Comput., May, 2024

Learning Quantized Adaptive Conditions for Diffusion Models.

Yuchen Liang, Yuchuan Tian, Lei Yu, Huao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

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, Chao Xu, Yunhe Wang

CoRR, 2024

DiJiang: Efficient Large Language Models through Compact Kernelization.

Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang

CoRR, 2024

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.

Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DiJiang: Efficient Large Language Models through Compact Kernelization.

Hanting Chen, Liuzhi Cheng, Xutao Wang, Yuchuan Tian, Yunhe Wang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Processing GNN: Breaking Rigidity in Super-Resolution.

Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards Higher Ranks via Adversarial Weight Pruning.

Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2018

Using DRAM Buffer to Reduce Persistence and Consistence Overheads of Persistent Memory.

Yuchuan Tian, Fang Wang

Wirel. Pers. Commun., 2018

2017

Managing Persistent Objects with a Unified Access Framework in Persistent Memory.

Yuchuan Tian, Fang Wang

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016

A Unified Access Manner for Storage-Class Memory.

Yuchuan Tian, Fang Wang

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016