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About

I am a Ph.D. student in Computer Science at the University of Central Florida, advised by Chen Chen, and a Student Researcher at ByteDance Seed. My research focuses on computer vision, generative models, and multimodal learning, with interests in visual representation learning and controllable image and video generation.

Previously, I worked with Chen Feng at AI4CE Lab, New York University.

Education

  • Jan 2025 – Present: Ph.D. in Computer Science, University of Central Florida
  • Aug 2024 – Dec 2024: Ph.D. in Computer Science, University of Utah (transferred)
  • Sep 2021 – Dec 2022: M.S. in Operations Research, Columbia University
  • Sep 2017 – Jun 2020: B.S. in Applied Mathematics, University of California, San Diego

Selected Publications

All publications

*: equal contribution, ✉️: corresponding author

2026

Semantic Auto-encoder overview Unified Latent Space for Understanding and Generation via Semantic Auto-encoder
Xiaojie Li, Yang Zhao, Ming Li, Yancheng Zhang, Zonglin Lyu, Yunpeng Chen, Rui Wang, Daquan Zhou.
CVPR 2026
[Paper]
Geo² cross-view localization and image synthesis overview Geo²: Geometry-Guided Cross-view Geo-Localization and Image Synthesis
Yancheng Zhang, Xiaohan Zhang, Guangyu Sun, Zonglin Lyu, Safwan Wshah, Chen Chen.
CVPR 2026
[Paper] [Code] [Webpage]
Learning from noisy preferences overview Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
Xinxin Liu, Ming Li, Zonglin Lyu, Yuzhang Shang, Chen Chen✉️.
ICLR 2026
[Paper] [Webpage]

2025

Condition Preference Optimization overview CPO: Condition Preference Optimization for Controllable Image Generation
Zonglin Lyu, Ming Li, Xinxin Liu, Chen Chen✉️.
NeurIPS 2025
[Paper] [Code] [Webpage]
Temporal-aware latent Brownian bridge video interpolation overview TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation
Zonglin Lyu, Chen Chen✉️.
ICCV 2025
[Paper] [Code] [Webpage]

2024

Consecutive Brownian bridge frame interpolation overview Frame Interpolation with Consecutive Brownian Bridge Diffusion
Zonglin Lyu, Ming Li, Jianbo Jiao, Chen Chen✉️.
ACM MM 2024
[Paper] [Code] [Webpage]
Open MARS self-driving dataset overview Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
Yiming Li*, Zhiheng Li*, Nuo Chen*, Moonjun Gong*, Zonglin Lyu*, Zehong Wang, Peili Jiang, Chen Feng✉️.
CVPR 2024
[Paper] [Code] [Webpage]


News and Updates

  • Feb 2026: Two papers accepted to CVPR 2026.
  • Jan 2026: One paper accepted to ICLR 2026.
  • Sep 2025: One paper accepted to NeurIPS 2025.
  • Jun 2025: One paper accepted to ICCV 2025.