I am currently a research scientist at Seed Vision team, ByteDance Inc. I received my bachelor and Ph.D. from Harbin Institute of Technology, Harbin, China in 2016 and 2020, respectively. From 2017 to 2019, I was a visiting student at the Ohio State University, Columbus, USA. My main research interests include: Image/Video Generation, Agent and world model.
Wei Zhou, Xiongwei Zhu, Zelin Xu, Bo Dong, Lixue Gong, Yongyuan Liang, Meng Chu, Leigang Qu, Lingdong Kong, Wei Liu*, Tat-Seng Chua
On-policy generative field distillation for composing T2I, local editing, and global editing in flow-matching models.
arXiv preprint, 2026
Leading edit data, multimodal joint training, post-training (CT/SFT/RL), and prompt enhancer for Seedream 4.0/4.5.
Zeyue Xue, Jie Wu, Yu Gao, Fangyuan Kong, Lingting Zhu, Mengzhao Chen, Zhiheng Liu, Wei Liu, Qiushan Guo, Weilin Huang, Ping Luo
A unified GRPO framework for visual generation across diffusion models and rectified flows (T2I, T2V, I2V).
arXiv preprint, 2025
Leading algorithms and data, post-training (CT/SFT/RL), and prompt enhancer for Seedream 3.0.
Leading the construction of training data and the development of algorithms for post-training.
SeeDream 2.0
Shaojin Wu, Fei Ding, Mengqi Huang, Wei Liu, Qian He
Submitted
Wei Liu, Fangyue Liu, Fei Ding, Qian He, Zili Yi
CVPR, 2022
Wei Liu, Yuzhi Zhao, Qiong Yan
CVPR Workshop, 2020
Miao Hua, Jiawei Liu, Fei Ding, Wei Liu
arXiv preprint, 2023
Zhuowei Chen, Shancheng Fang, Wei Liu
AAAI, 2024
Shiqi Sun, Shancheng Fang, Qian He, Wei Liu
CVPR 2023 (submitted)
Tianxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, Tieniu Tan
AAAI 2023