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 students and PhD students interested in foundational problems at the intersection of deep latent variable models and visual intelligence.

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

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

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

  • Haiyang Yu (PhD'22/MEng'20 Student@Fudan) supervised 2020~Now. [National Scholarship]

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

  • Mingzhao Yang (PhD'20/MSc'18 Student@Fudan) supervised 2020~Now.

  • Tonglin Chen (PhD'18 Student@Fudan) supervised 2018~Now.

Team Alumni

  • 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

Software