Bin Li - AImpressionist
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Bin Li
Email: libin82cn AT gmail DOT com |
Biography
I'm an associate professor of computer science at Fudan University since Nov 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 research interests lie in machine learning, Bayesian nonparametrics and computational cognitive science, particularly in complex data (e.g., relational, structured, and streaming) representation, modeling and inference.
News
I am seeking PhD students interested in foundational problems at the intersection of deep latent variable models and visual intelligence.
2021-05: A software package Compositional Scene Representation Toolbox is released online.
2021-05: A software package Dr.Hash - Data Representation with Hashing Toolbox is released online.
2021-04: Bayesian Nonparametric Space Partitions: A Survey is accepted at IJCAI-21 Survey Track.
2021-01: A software package Sparti - Spatial Partition Inference Toolbox is released online.
2020-09: A Review for Weighted MinHash Algorithms is published online at IEEE TKDE.
Research
My latest publications and some selected research topics are listed below. The full list of my publications can be found here.
Latest Publications (not elsewhere classified)
Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson, Poisson-Randomised DirBNs: Large Mutation is Needed inDirichlet Belief Networks, ICML-21.
Jingye Chen, Bin Li, Xiangyang Xue, Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition, IJCAI-21.
Jingye Chen, Bin Li, Xiangyang Xue, Scene Text Telescope: Text-Focused Scene Image Super-Resolution, CVPR-21.
Xuhui Fan, Bin Li, Scott A. Sisson, et al., Scalable Deep Generative Relational Models with High-Order Node Dependence, NeurIPS-19. [code]
Compositional Scene Representation and Visual Reasoning
Fan Shi, Bin Li, Xiangyang Xue, Raven's Progressive Matrices Completion with Latent Gaussian Process Priors, AAAI-21. [code]
Jinyang Yuan, Bin Li, Xiangyang Xue, Knowledge-Guided Object Discovery with Acquired Deep Impressions, AAAI-21. [code]
Jinyang Yuan, Bin Li, Xiangyang Xue, Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation, ICML-19. [code]
Jinyang Yuan, Bin Li, Xiangyang Xue, Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping, AAAI-19. [code]
Bayesian Nonparametric Space and Multi-array Partitions
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson, Bayesian Nonparametric Space Partitions: A Survey, IJCAI-21.
Xuhui Fan, Bin Li, Scott A. Sisson, Online Binary Space Partitioning Forests, AISTATS-20. [code]
Xuhui Fan, Bin Li, Scott A. Sisson, Binary Space Partitioning Forests, AISTATS-19. [code]
Xuhui Fan, Bin Li, Scott A. Sisson, Rectangular Bounding Process, NeurIPS-18. [code]
Xuhui Fan, Bin Li, Scott A. Sisson. The Binary Space Partitioning-Tree process, AISTATS-18. [code]
Xuhui Fan, Bin Li, Yi Wang, et al., The Ostomachion Process, AAAI-16.
Yi Wang, Bin Li, Xuhui Fan, et al., Bayesian Optimization of Partition Layouts for Mondrian Processes, IJCAI-16.
Yi Wang, Bin Li, Yang Wang, Fang Chen, Metadata Dependent Mondrian Processes, ICML-15.
Structured Data Representation with Recursive Hashing
Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl, Hashing-Accelerated Graph Neural Networks for Link Prediction, WWW-21. [code]
Wei Wu, Bin Li, Ling Chen, et al., A Review for Weighted MinHash Algorithms, IEEE TKDE, 2020. [code]
Wei Wu, Bin Li, Ling Chen, et al., Improved Consistent Weighted Sampling Revisited, IEEE TKDE, 2019. [code]
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Efficient Attributed Network Embedding via Recursive Randomized Hashing, IJCAI-18. [code]
Wei Wu, Bin Li, Ling Chen, et al., $K$-Ary Tree Hashing for Fast Graph Classification, IEEE TKDE, 2018. [code]
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Consistent Weighted Sampling Made More Practical, WWW-17. [code]
Lianhua Chi, Bin Li, Xingquan Zhu, Context-Preserving Hashing for Fast Text Classification, SDM-14.
Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang, Nested Subtree Hash Kernels for Large-scale Graph Classification over Streams, ICDM-12.
Cross-Domain Collaborative Filtering
Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Rating Knowledge Sharing in Cross-Domain Collaborative Filtering, IEEE TCYB, 2015.
Bin Li, Cross-Domain Collaborative Filtering: A Brief Survey, ICTAI-11.
Bin Li, Xingquan Zhu, Ruijiang Li, et al., Cross-Domain Collaborative Filtering over Time, IJCAI-11.
Bin Li, Qiang Yang, Xiangyang Xue, Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model, ICML-09.
Bin Li, Qiang Yang, Xiangyang Xue, Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction, IJCAI-09.
Team
Some of my students and team alumni are listed below. The full list of my students can be found here.
I was external PhD supervisor at UTS, USyd and UNSW when I worked for NICTA/CSIRO in Australia.
Current Students
Shangchao Su (PhD'20/MS'18 Student@Fudan) supervised 2018~Now.
Jinyang Yuan (PhD'19 Student@Fudan) co-supervised 2018~Now.
Tonglin Chen (PhD'18 Student@Fudan) supervised 2018~Now.
Fan Shi (MSc'19 Student@Fudan) supervised 2019~Now.
Jingye Chen (MEng'19 Student@Fudan) supervised 2019~Now.
Team Alumni
Xuhui Fan (Postdoc@CSIRO) supervised 2015~2017 on Bayesian Nonparametric Space Partitions.
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 2017 | Springer Theses
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.
Awards
PAKDD 2013 Best Paper Award.
CCF 2009 Doctoral Dissertation Award Nomination.
Software
