Portrait
Fan Wu
Ph.D. candidate
Nanyang Technological University
About Me

I am a PhD student at Nanyang Technological University, Singapore, under the supervision of Prof. Guosheng Lin . I received my M.S. degree from the School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University, China, where I was advised by Prof. Nanyang Ye. My previous research primarily focused on out-of-distribution (OoD) generalization problems in traditional computer vision tasks, such as object detection.

Currently, my research focuses on generative world models and embodied AI. Feel free to reach out to discuss potential collaboration !

Education
  • Nanyang Technological University
    Nanyang Technological University
    College of Computing and Data Science
    Ph.D. Student
    Sep. 2024 - present
  • Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Department of Computer Science and Engineering
    M.S. in Computer Science
    Sep. 2021 - Mar. 2024
  • Sun Yat-sen University
    Sun Yat-sen University
    B.S. student
    Sep. 2017 - Jun. 2021
Experience
  • Tencent
    Tencent
    Research Intern
    Jul. 2025 - Nov. 2025
  • XPENG Robotics
    XPENG Robotics
    Research Intern
    Nov. 2025 - Present
News
2025
Two preprint papers PhyCustom and IC-World released on arXiv.
Dec 02
One journal paper OoD-Bench+ accepted to T-PAMI.
Nov 02
One journal paper Bayes-CAL accepted to IJCV.
Jul 14
2024
Start my Ph.D. journey at Nanyang Technological University.
Jul 17
One journal paper VLAD accepted to IJCV.
Feb 05
2023
One conference paper G-NAS accepted to AAAI 2024.
Dec 09
2021
One journal paper AGNet accepted to Computers in Biology and Medicine.
Nov 30
Selected Publications (view all )
IC-World: In-Context Generation for Shared World Modeling

Fan Wu, Jiacheng Wei, Ruibo Li, Yi Xu, Junyou Li, Deheng Ye, Guosheng Lin# (# corresponding author)

arXiv preprint arXiv:2512.02793 2025

[Paper] [Code]

IC-World: In-Context Generation for Shared World Modeling

Fan Wu, Jiacheng Wei, Ruibo Li, Yi Xu, Junyou Li, Deheng Ye, Guosheng Lin# (# corresponding author)

arXiv preprint arXiv:2512.02793 2025

[Paper] [Code]

OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

Nanyang Ye*#, Kaican Li*, Fan Wu*, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou (* equal contribution, # corresponding author)

IEEE Transaction on Pattern Analysis and Machine Intelligence 2025

OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization

Nanyang Ye*#, Kaican Li*, Fan Wu*, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou (* equal contribution, # corresponding author)

IEEE Transaction on Pattern Analysis and Machine Intelligence 2025

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

Fan Wu, Jinling Gao, Lanqing HONG, Xinbing Wang, Chenghu Zhou, Nanyang Ye# (# corresponding author)

The 38th Annual AAAI Conference on Artificial Intelligence 2024

[Paper] [Code]

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

Fan Wu, Jinling Gao, Lanqing HONG, Xinbing Wang, Chenghu Zhou, Nanyang Ye# (# corresponding author)

The 38th Annual AAAI Conference on Artificial Intelligence 2024

[Paper] [Code]

AGNet: Automatic generation network for skin imaging reports

Fan Wu, Haiqiong Yang, Linlin Peng, Zongkai Lian, Mingxin Li, Gang Qu, Shancheng Jiang#, Yu Han (# corresponding author)

Computers in Biology and Medicine 2022

[Paper]

AGNet: Automatic generation network for skin imaging reports

Fan Wu, Haiqiong Yang, Linlin Peng, Zongkai Lian, Mingxin Li, Gang Qu, Shancheng Jiang#, Yu Han (# corresponding author)

Computers in Biology and Medicine 2022

[Paper]

All publications