Zhengxiong Luo · Staff Research Scientist

Profile

About Me

I am a Staff Research Scientist at ByteDance Seed, working toward unified multimodal intelligence through generation and understanding.

Previously, I was a member of the Emu team at the Beijing Academy of Artificial Intelligence (BAAI) from June 2023 to February 2025. I received my Ph.D. from the Institute of Automation, Chinese Academy of Sciences (CASIA), advised by Prof. Tieniu Tan and working closely with Prof. Liang Wang and Prof. Yan Huang.

I obtained my Bachelor's degree in Mechanical Engineering from Shanghai Jiao Tong University in 2018. During my Ph.D., I also gained industry experience through a long-term engagement at Megvii and a research internship at Alibaba DAMO Academy.

Latest

Recent Highlights

2026 Emu3 published in Nature 2026 CI-VID presented at CVPR 2025 NOVA presented at ICLR

Focus

Research Directions

Unified Multimodal Models

Bringing visual generation and understanding into a shared autoregressive framework.

Image & Video Generation

Building efficient generative models for coherent, controllable visual creation.

Foundational Vision

Previous work spanning low-level vision, super-resolution, and human pose estimation.

Selected Work

Publications

Full list on Scholar

10 selected publications

arXiv

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation

Chao Liao, Liyang Liu, Xun Wang, Zhengxiong Luo, Xinyu Zhang, Wenliang Zhao, Jie Wu, Liang Li, Zhi Tian, Weilin Huang

arXiv preprint arXiv:2505.05472, 2025.

Paper
CVPR

CI-VID: A Coherent Interleaved Text-Video Dataset

Yiming Ju, Jijin Hu, Zhengxiong Luo, Haoge Deng, Hanyu Zhao, Li Du, Wenbo Xiao, Chengwei Wu, Donglin Hao, Xinlong Wang, Tengfei Pan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026, pp. 25568-25577.

Paper Code Project
Nature

Multimodal Learning with Next-Token Prediction for Large Multimodal Models

Xinlong Wang, Xiaosong Zhang, Zhengxiong Luo, Quan Sun, Yufeng Cui, Jinsheng Wang, Fan Zhang, Yueze Wang, Zhen Li, Qiying Yu, Yingli Zhao, Yulong Ao, Xuebin Min, Tao Li, Boya Wu, Bo Zhao, Bowen Zhang, Liangdong Wang, Guang Liu, Zheqi He, Xi Yang, Jingjing Liu, Yonghua Lin, Tiejun Huang, Zhongyuan Wang

Nature 650, 327-333 (2026).

Paper Code Project
ICLR

Autoregressive Video Generation without Vector Quantization

Haoge Deng, Ting Pan, Haiwen Diao, Zhengxiong Luo, Yufeng Cui, Huchuan Lu, Shiguang Shan, Yonggang Qi, Xinlong Wang

International Conference on Learning Representations (ICLR), 2025.

Paper Code Project
IJCV

End-to-End Alternating Optimization for Real-World Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan

International Journal of Computer Vision (IJCV), 2023, volume 131, pp. 3152-3169.

Paper Code
CVPR

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jinren Zhou, Tieniu Tan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 10209-10218.

Paper
CVPR

Learning the Degradation Distribution for Deep Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 6063-6072.

Paper Code
CVPR

Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation

Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 13264-13273.

Paper
ICME

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations

Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guan Wang, Yan Huang, Liang Wang, Tieniu Tan, Jian Sun

IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6.

Paper
NeurIPS

Unfolding the Alternating Optimization for Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan

Advances in Neural Information Processing Systems (NeurIPS), 2020, volume 33, pp. 5632-5643.

Paper Code