About Me

I am a Ph.D. student at University College London, supervised by Assoc. Prof. Jagmohan Chauhan. I received my M.Eng. in Computer Science and Technology and B.Eng. in Artificial Intelligence from Harbin Institute of Technology, where I was advised by Prof. Wangmeng Zuo. My research focuses on on-device and efficient GenAI.

News

• [2026.08] DreamLite is accepted by ECCV 2026.
• [2026.03] 🎉 We have released the project page for DreamLite! You can find the code, demos, and more details here.
• [2025.09] One paper is accepted by WACV 2026.
• [2025.09] Started an internship at ByteDance.
• [2025.04] Started an internship at TAL.
• [2025.02] One paper is accepted by CVPR 2025.
• [2024.03] One paper is accepted by ICME 2024 Oral.
• [2023.01] One paper is accepted by ICLR 2023.

Education

• Ph.D. student, University College London
  - Supervisor: Assoc. Prof. Jagmohan Chauhan
• Aug. 2023 - Mar. 2026, M.Eng. in Computer Science and Technology, Harbin Institute of Technology
  - Advisor: Prof. Wangmeng Zuo
• Aug. 2019 - Jun. 2023, B.Eng. in Artificial Intelligence, Harbin Institute of Technology

Experiences

• Sep. 2025 - Aug. 2026, Intelligent Creation Lab, ByteDance
  - Research Intern (Efficient and On-Device Generative AI)
• Apr. 2024 - Sep. 2025, Beijing Century TAL Education Technology Co., Ltd.
  - Research Intern (Generative AI and Text-to-SVG Video)
• Nov. 2022 - Jul. 2023, TikTok, ByteDance
  - Machine Learning Engineer Intern (Multi-Task Learning and Video Auto-Moderation)
• Mar. 2024 - Present, International Telecommunication Union (ITU)
  - Youth Envoy for Generation Connect

Publications

DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing

Kailai Feng, Y Wei, B Chen, Y Pan, H Ye, S Liu, C Yan, Y Gao, W Zuo
European Conference on Computer Vision, ECCV 2026
[Project Page][Code]

VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models

Kailai Feng, Y Zhang, H Yu, Z Ji, J Bai, H Zhang, W Zuo
IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026
[Paper][Code]

MC²: Multi-concept Guidance for Customized Multi-concept Generation

J Jiang, Y Zhang, Kailai Feng, X Wu, W Zuo
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025
[Paper][Code]

Multi-Attentional Distance for Zero-Shot Classification with Text-to-Image Diffusion Model

Kailai Feng, M Ni, J Jiang, Z Zhang, W Zuo
IEEE International Conference on Multimedia and Expo, ICME 2024 Oral
[Paper][Code]

Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models

M Ni, Y Zhang, Kailai Feng, X Li, Y Guo, W Zuo
Science China Information Sciences, 2026
[Paper]

ImaginaryNet: Learning Object Detectors without Real Images and Annotations

M Ni, Z Huang, Kailai Feng, W Zuo
International Conference on Learning Representations, ICLR 2023
[Paper][Code]

Awards

Samsung Scholarship (top 0.18%), 2024
Special Prize of School Scholarship, 2024
Tencent Scholarship, 2024
Special Prize of School Scholarship, 2023
Outstanding Graduate of Harbin Institute of Technology, 2023