Photo: Beijing Wildlife Park

Yupeng Zhou

PhD student, Nankai University

Yupeng Zhou is a PhD student at Nankai University, advised by Prof. Qibin Hou and Prof. Ming-Ming Cheng. His research focuses on image/video generation, Multimodal Large Language Models and image restoration.

He has worked as a research intern at ByteDance Seed, Shanghai Artificial Intelligence Laboratory, and Tongyi Lab, Alibaba.

Email: ypzhousdu [at] gmail.com. I am expected to graduate in 2028 and welcome academic collaborations and job opportunities.

Selected Publications (click to sort: first author / date)

* Equal contribution. # Corresponding author. Representative papers are highlighted.

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation
Yupeng Zhou, Lianghua Huang, Zhifan Wu, Jiabao Wang, Yupeng Shi, Biao Jiang, Daquan Zhou, Yu Liu, Ming-Ming Cheng, Qibin Hou.
arXiv, 2026
paper / project / code

Dual-mode self-evolution for fast autoregressive audio-video character generation.

OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better
Yupeng Zhou, Zhen Li, Ziheng Ouyang, Yuming Chen, Ruoyi Du, Daquan Zhou, Bin Fu, Yihao Liu, Peng Gao, Ming-Ming Cheng, Qibin Hou.
ECCV, 2026
paper / code

Joint discrete and continuous optimization for better discrete video VAE training.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling
Yi Xin, Juncheng Yan, Qi Qin, Zhen Li, Dongyang Liu, Shicheng Li, Victor Shea-Jay Huang, Yupeng Zhou, Renrui Zhang, Le Zhuo, Tiancheng Han, Xiaoqing Sun, Siqi Luo, Mengmeng Wang, Bin Fu, Yuewen Cao, Hongsheng Li, Guangtao Zhai, Xiaohong Liu, Yu Qiao, Peng Gao.
arXiv, 2025
paper / code

Stand-alone decoder-only autoregressive image modeling for high-quality generation and editing.

AR-1-to-3: Single Image to Consistent 3D Object via Next-View Prediction
Xuying Zhang*, Yupeng Zhou*, Kai Wang, Yikai Wang, Zhen Li, Shaohui Jiao, Daquan Zhou, Qibin Hou, Ming-Ming Cheng.
ICCV, 2025
paper / code

Single image to consistent 3D object generation through autoregressive next-view prediction.

MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
Yupeng Zhou, Daquan Zhou, Yaxing Wang, Jiashi Feng, Qibin Hou.
International Journal of Computer Vision, 2025
paper

Training-free conditional masking to improve text-to-image semantic consistency.

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou.
NeurIPS, 2024, (Spotlight)
paper / code

Training-free consistent self-attention for long-range story image and video generation.

SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution
Yupeng Zhou, Zhen Li, Chun-Le Guo, Li Liu, Ming-Ming Cheng, Qibin Hou.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026
paper / code / project

A closer look at permuted self-attention for efficient image super-resolution.

SRFormer: Permuted Self-Attention for Single Image Super-Resolution
Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou.
ICCV, 2023
paper / code / project

Permuted self-attention for efficient and effective image super-resolution.

Experience

Tongyi Lab
2025 - 2026
Alibaba Tongyi Lab

Research Intern

WanTeam@Alibaba, working on multimodal large models and generative modeling.

Shanghai Artificial Intelligence Laboratory
2024 - 2025
Shanghai AI Lab

Research Intern

Shanghai Artificial Intelligence Laboratory, working on visual generation and multimodal foundation models.

ByteDance Seed
2023 - 2024
ByteDance Seed

Research Intern

Working on image and video generation with Dr. Daquan Zhou and Dr. Jiashi Feng.

Education

2022 - Present, I am a Ph.D student at Nankai University, under the supervision of Prof. Qibin Hou and Prof. Ming-Ming Cheng.

2018 - 2022, I was an undergraduate student at Shandong University, advised by Prof. Meng Chen.

Service

Reviewer for CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, AAAI, TPAMI, TIP, and CVMJ.

Contact

You are very welcome to contact me. I can be contacted directly at ypzhousdu [at] gmail.com.