Fu-Yun Wang
Fu-Yun Wang
Ph.D. Candidate @ MMLab, CUHK

Fu-Yun Wang (IPA: [fu˧˥ yn˧˥ wɑŋ]) is a final year Ph.D. candidate at MMLab@CUHK. He works on post-training. Currently vibing with world model and agentic stuff.

Job market 2027 · always happy to chat about interesting research projects.

Recent Work New

Representation Forcing for Bottleneck-Free Unified Multimodal Models
Yuqing Wang et al. · Fu-Yun Wang (co-author)
HKU · ByteDance Seed · CUHK · Nanjing University · Tsinghua University
arXiv 2026
Predicts visual representations before pixels, removing the frozen-VAE bottleneck from unified multimodal models.
Omni: Context Unrolling in Omni Models
ByteDance Seed
2026
A unified multimodal model that reasons via context unrolling; core contributor to World Navigation data processing and training validation.
Image Diffusion Preview with Consistency Solver
Fu-Yun Wang, Hao Zhou, Liangzhe Yuan, Sanghyun Woo, Boqing Gong, Bohyung Han, Ming-Hsuan Yang, Han Zhang, Yukun Zhu, Ting Liu, Long Zhao
Google DeepMind · CUHK · Seoul National University
CVPR 2026 · Highlight
NVIDIA Tech Talk Tencent Qingyun Travel Grant
Fast, faithful low-step previews that reduce interaction time by nearly 50% while preserving final-sample consistency.
PromptRL: Prompt Matters in RL for Flow-Based Image Generation
Fu-Yun Wang, Han Zhang, Michaël Gharbi, Hongsheng Li, Taesung Park
Reve · Meta Superintelligence Labs · CUHK
ICML 2026
JQ Investments ICML Travel Award
2× sample efficiency through joint LM/flow-model RL, plus adaptive test-time prompt refinement.

Latest Posts

Distributional Distillation I: From a Marginal KL to Two Scores

A complete derivation from density perturbations to the two-score and f-divergence gradients.

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Distributional Distillation II: What the Methods Actually Estimate

Why SDS, VSD, DMD, DMD2, and Phased DMD do not optimize the same object.

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Distributional Distillation III: From Scores to Particle Flows

The exact connection among KL-WGF, W-Flow, and Drifting Models—and where it ends.

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Theoretical Analysis of ConsistencySolver

PF-ODEs, linear multistep methods, and the learnable solver update rule.

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Theoretical Analysis of Rectified Diffusion

Why general diffusion rectification yields non-increasing optimal transport costs.

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On the Equivalence of Consistency Models and MeanFlow

A continuous-time view connecting consistency objectives and MeanFlow.

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Research Summary

Interactive tree diagram of my research. Click nodes to expand/collapse; click paper titles to visit links.

Research Directions

Internship Experience

ByteDance Seed Current

Research Intern · 2025.10 - Present

Video Generation, Multimodal Models

Mentor: Haoqi Fan

Reve Inc

Research Intern · 2025.6 - 2025.11

Multimodal LMs, Diffusion Models, RL

Supervised by: Dr. Han Zhang

Google DeepMind

Research Intern · 2025.2 - 2025.5

Diffusion Distillation, RL

Supervised by: Dr. Long Zhao, Dr. Ting Liu, Dr. Hao Zhou, Dr. LiangZhe Yuan

Collaborated with Prof. Bohyung Han, Prof. Boqing Gong

Avolution AI Acquired by MiniMax

Research Collaboration · 2023.10 - 2024.10

Video Diffusion, Distillation

Collaborated with: Dr. Zhaoyang Huang, Dr. Xiaoyu Shi, Weikang Bian

Tencent AI Lab

Research Intern · 2022.6 - 2022.12

Continual Learning

Supervised by: Dr. Liu Liu, Prof. Yatao Bian

Education

The Chinese University of Hong Kong

Ph.D. in Engineering · 2023 - Present

Supervisor: Prof. Hongsheng Li & Prof. Xiaogang Wang

Nanjing University

B.Eng. in AI (Rank 2/88) · 2019 - 2023

Supervisor: Prof. Han-Jia Ye & Prof. Da-Wei Zhou

Selected Publications

Categorized by theme. Full list on Google Scholar.

Diffusion Post-Training: Acceleration & Reinforcement Learning

PromptRL
PromptRL: Prompt Matters in RL for Flow-Based Image Generation
Fu-Yun Wang, Han Zhang, Michaël Gharbi, Hongsheng Li, Taesung Park
Reve · Meta Superintelligence Labs · CUHK
ICML 2026 JQ Investments ICML Travel Award
Jointly trains language models and flow-matching models in a unified RL loop, achieving 2× sample efficiency and adaptive test-time prompt refinement.
ConsistencySolver
Image Diffusion Preview with Consistency Solver
Fu-Yun Wang, Hao Zhou, Liangzhe Yuan, Sanghyun Woo, Boqing Gong, Bohyung Han, Ming-Hsuan Yang, Han Zhang, Yukun Zhu, Ting Liu, Long Zhao
Google DeepMind · CUHK · Seoul National University
CVPR 2026 Highlight
A learnable high-order ODE solver for fast, faithful diffusion previews and consistent full-step refinement, reducing interaction time by nearly 50%.
Rectified Diffusion
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li
ICLR 2025
In-depth theoretical analysis and empirical validation of flow matching, rectified flow, and the rectification operation. ZHIHU blog garnered 10k+ views and ~400 likes. Detailed theory note.
PCM
Phased Consistency Model
Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li
NeurIPS 2024
Validate the feasibility of one-step video generation; Adopted by Qwen-Image-2512 for first-stage initialization; Adopted by Early version of FastVideo, accelerating HunyuanVideo and WAN.
Diffusion-NPO
Diffusion-NPO: Negative Preference Optimization for Diffusion Models
Fu-Yun Wang, Yunhao Shui, Jingtan Piao, Keqiang Sun, Hongsheng Li
ICLR 2025
A general, simple yet effective method for strengthened diffusion preference optimization.

Generative Vision Applications

Motion-I2V: Consistent and Controllable Image-to-Video Generation
Xiaoyu Shi*, Zhaoyang Huang*, Fu-Yun Wang*, Weikang Bian*, et al.
SIGGRAPH 2024 Technical Papers Trailer
ZoLA: Zero-Shot Creative Long Animation Generation
Fu-Yun Wang, Zhaoyang Huang, Qiang Ma, Xudong Lu, Weikang Bian, Yijin Li, Yu Liu, Hongsheng Li
ECCV 2024 Oral

Continual Learning

PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
Da-Wei Zhou*, Fu-Yun Wang*, Han-Jia Ye, De-Chuan Zhan
SCIENCE CHINA Information Sciences
Nearly 1000 GitHub stars — the most widely collected CIL toolkit.
FOSTER
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
ECCV 2022

More

Talks

Awards

  • 2026 JQ Investments ICML Travel Award · PromptRL
  • 2026 Tencent Qingyun Travel Grant · ConsistencySolver
  • 2025 CVPR Outstanding Reviewer
  • 2023 HKPFS
Earlier awards
  • 2023 Outstanding Graduate of NJU
  • 2023 Outstanding Undergraduate Thesis of NJU
  • 2022 Sensetime Scholarship
  • 2022 Huawei Scholarship
  • 2021 National Scholarship

Academic Services

Reviewer for TPAMI, TCSVT, PRL, CVPR, NeurIPS, ICLR, ICML, ECCV, ICCV, BMVC, and SIGGRAPH Asia.

Reviewing years
CVPR / NeurIPS2023–2025
ICLR / ICML2024–2025
ECCV / ICCV2024 / 2025
BMVC / SIGGRAPH Asia2024 / 2025
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Fu-Yun
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