Bin Li - AImpressionist

 

Bin Li
Professor
School of Computer Science
Fudan University

Email: libin AT fudan DOT edu DOT cn
[Google Scholar] [DBLP] [GitHub]

Biography

I'm a professor of computer science at Fudan University. I joined Fudan University in Oct 2017. Prior to this, I was a research fellow at Institut TELECOM SudParis from 2009 to 2010, a lecturer at University of Technology Sydney (UTS) from 2011 to 2013, and a senior research scientist of machine learning at CSIRO's Data61 (formerly NICTA) from 2013 to 2017. I received my PhD degree in computer science from Fudan University in 2009. My current research interests lie in machine learning, computer vision and cognition, particularly in foundational problems at the intersection of deep latent variable models and visual intelligence.

News

I am seeking undergraduate, master and PhD students interested in foundational problems at the intersection of deep latent variable models and visual intelligence. 博士生:对于申请2026秋入学的博士生,优先考虑组成式场景建模与视觉认知方向(相关研究内容可参考Research中的”Compositional Scene Modeling and Object-Centric Learning“和”Abstract Visual Reasoning and Visual Cognition“)。在发送申请邮件之前,请先了解我相关方向的研究工作并在邮件中陈述你的见解。硕士生:对于申请2026秋入学的硕士生(仍开放招收2025秋入学的硕士生),对以下研究内容感兴趣的同学可以联系我:视觉内容生成、AI工业设计、3D场景重建、文博+AI、联邦学习、以及多模态大模型与生成模型相关的基础研究。本科生:常年开放招收本科生,欢迎本科生加入实验室!

Research

Some selected research topics are listed below. The full list of my publication can be found here.

Scene Text Recognition, Segmentation and Super-Resolution

Compositional Scene Modeling and Object-Centric Learning

Abstract Visual Reasoning and Visual Cognition

Federated Learning and Privacy-Preserving Training

Stochastic Partitions and Stochastic Point Processes

Structured Data Representation with Recursive Hashing

Collaborative Filtering and User Behaviour Modeling

Team

My current PhD students and some team alumni are listed below. I was external PhD supervisor at UTS, USyd and UNSW when I worked for NICTA/CSIRO in Australia.

Research Students

  • Xiaodong Ge (PhD'25 Student@Fudan) supervised 2025~Now.

  • Shuchun Liu (PhD'25 Student@Fudan) supervised 2025~Now.

  • Yuchuan Wu (PhD'24 Student@Fudan) supervised 2024~Now.

  • Teng Fu (PhD'23 Student@Fudan) co-supervised 2023~Now.

  • Yinxuan Huang (PhD'22 Student@Fudan) co-supervised 2023~Now.

  • Fan Shi (PhD'22/MSc'19 Student@Fudan) supervised 2019~Now.

Team Alumni

  • Haiyang Yu (PhD@Fudan) supervised 2020~2025 on Chinese Text Recognition. [National Scholarship]

  • Mingzhao Yang (PhD@Fudan) supervised 2020~2025 on One-Shot Federated Learning.

  • Tonglin Chen (PhD@Fudan) supervised 2018~2024 on Object-Centric Learning.

  • Shangchao Su (PhD@Fudan) supervised 2018~2024 on Federated Learning in Heterogeneous Scenarios.

  • Xinyan Zu (MEng@Fudan) supervised 2020~2023 on Chinese Text Recognition. [Shanghai Computer Society Outstanding Theses Award]

  • Jinyang Yuan (PhD@Fudan) co-supervised 2018~2022 on Compositional Scene Modeling.

  • Jingye Chen (MEng@Fudan) supervised 2019~2022 on Scene Text Recognition. [National Scholarship | Shanghai Computer Society Outstanding Theses Award]

  • Yaqiong Li (PhD@UTS) co-supervised 2017~2021 on Bayesian Dynamic Network Modeling.

  • Wei Wu (PhD@UTS) co-supervised 2015~2018 on Structured Data Hashing.

  • Ling Luo (PhD@USyd) co-supervised 2015~2017 on Temporal Behavior Modeling. [Google PhD Fellowship | Springer Theses]

  • Xuhui Fan (Postdoc@CSIRO) supervised 2015~2017 on Bayesian Nonparametric Space Partitions.

  • Yi Wang (PhD@UNSW) co-supervised 2014~2016 on Bayesian Nonparametric Clustering.

  • Lianhua Chi (PhD@UTS) co-supervised 2012~2015 on Structured Data Hashing.

  • Ruijiang Li (PhD@Fudan) co-supervised 2009~2013 on Bayesian Subspace Clustering.

Teaching

  • Mathematical Foundations of Artificial Intelligence (Undergraduate): 2023Fall, 2024Fall

  • Statistical Learning (Undergraduate): 2020Fall, 2021Fall, 2022Fall, 2023Fall, 2024Fall

  • Big Data Analytics and Applications (Graduate): 2018Fall, 2019Fall, 2020Fall, 2021Fall, 2022Fall, 2024Spring, 2025Spring

Software