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Oliver Yanzuo Lu 卢彦作

PhD Student, Imperial College London

Contact: oliveryanzuolu AT gmail DOT com

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👋 Hi, this is Yanzuo Lu, a PhD student at Imperial College London supervised by Prof. Jiankang Deng.

Previously, I was a research intern at AutoML of ByteDance Seed (Dec 2023 - Sep 2025), mentored by Yuxi Ren & Jie Wu and led by Xuefeng Xiao, where I developed diffusion distillation algorithms to reduce sampling steps while maintaining the quality of generated images or videos. I received both my MEng and BS degrees from Sun Yat-Sen University (SYSU), advised by Prof. Andy J Ma, Xiaohua Xie, and Jianhuang Lai, where I gained experience in customized diffusion models, domain adaptation and person re-identification.

My Chinese name is 卢彦作, and you may also want to call my English name as Oliver. Feel free to explore my works below and reach out via email for any discussion.


Selected Publications

Google Scholar Profile

   

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis
Yanzuo Lu, Yuxi Ren, Xin Xia, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Andy J Ma, Xiaohua Xie and Jianhuang Lai
International Conference on Computer Vision (ICCV), 2025 (Highlight)
arXiv

   

Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
Yanzuo Lu, Manlin Zhang, Andy J Ma, Xiaohua Xie and Jianhuang Lai
Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight)
arXiv     Publication     Code     Talk

   

Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang and Xuefeng Xiao
Conference on Neural Information Processing Systems (NeurIPS), 2024
arXiv     Publication     Project     HuggingFace     PR

   

ByteEdit: Boost, Comply and Accelerate Generative Image Editing
Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng and Lean Fu
European Conference on Computer Vision (ECCV), 2024
arXiv     Publication     Project

   

MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
Yanzuo Lu, Meng Shen, Andy J Ma, Xiaohua Xie and Jian-Huang Lai
AAAI Conference on Artificial Intelligence (AAAI), 2024
arXiv     Publication     Code

   

Collaborative Learning of Diverse Experts for Source-free Universal Domain Adaptation
Meng Shen, Yanzuo Lu, Yanxu Hu and Andy J Ma
ACM International Conference on Multimedia (ACMMM), 2023
Publication

Technical Reports

   

Seedream 4.0: Toward Next-generation Multimodal Image Generation
ByteDance Seed (Core Contributor)
arXiv preprint arXiv:2509.20427, 2025
arXiv

   

Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation
Yanzuo Lu, Xin Xia, Manlin Zhang, Huafeng Kuang, Jianbin Zheng, Yuxi Ren, Xuefeng Xiao
arXiv preprint arXiv:2509.18824, 2025
arXiv     Project

   

Seedream 3.0 Technical Report
ByteDance Seed (Contributor)
arXiv preprint arXiv:2504.11346, 2025
arXiv


Professional Service


Awards and Honors