Li Hongmin

I am a post-doctor of Asai Laboratory at the University of Tokyo. My research interests include Spectral clustering, Machine learning, and related fields. Currently, I am woking on developing machine learning algorithms for bioinformatics.

My CV.

Email: lihongmin[at]edu.k.u-tokyo.ac.jp

News

2023.8 I gave a presentation about RNA-language pre-training model in RNAインフォマティクス道場2023!
2023.5 I came back to University of Tokyo to continue my post-doctor as a Researcher.
2022.10 I joined a self-driving company HAOMO.AI as a machine learning engineer in their “蓝色空间领航者” project.
2022.8 I gave a presentation about fast dimensionality reduction for RNA in RNAインフォマティクス道場2022!
2022.6 Our journal paper ‘Divide-and-conquer based Large-Scale Spectral Clustering’ is finally accepted by Neurocomputing!
2022.4 I’m starting a new position as a Researcher at The University of Tokyo News!
2022.3 I graduated from University of Tsukuba and got the Ph.D. degree.

Publications

2021.11.15 Our new paper ‘LSEC: Large-scale spectral ensemble clustering’ was accepted by Intelligent Data Analysis. arXiv. Code.
2021.6 Our new paper ‘Divide-and-conquer based Large-Scale Spectral Clustering’ is out on arXiv Code!
2020.11 Our paper ‘Ensemble Learning for Spectral Clustering’ was published on ICDM 2020. PDF Code.
2020.11 Our paper ‘Hubness-based Sampling Method for Nyström Spectral Clustering’ was published on IJCNN 2020. PDF.
2020.2 Our paper ‘An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps’ was published on Neurocomputing. Request PDF.
2019.8 Our paper ‘Distributed Collaborative Feature Selection Based on Intermediate Representation’ was published on IJCAI 2019. PDF.
2019.8 Our paper ‘Large Scale Spectral Clustering Using Sparse Representation Based on Hubness’ was published on CBDCom 2018. PDF Code.

Presentation

2022.03 I gave a presentation named “LSEC: large-scale spectral ensemble clustering” in Poster Session of SPRING Fellowship.
2021.12 I gave a presentation named “A novel large scale spectral clustering” in CollaboTICS 2021.
2019.6 I gave a poster presentation ‘Large scale spectral clustering using landmarks based on hubness’ in International Symposium on “Digital Science Now” in association with the G20 Ministerial Meeting on Trade and Digital Economy. Poster.

Awards

2021.10 I was supported by JST under Support for Pioneering Research Initiated by the Next Generation.
2020.10.18 I awarded second prize on AETA Earthquake Prediction AI Algorithm Competition 2019. News and my slide.
2019.10 I won the special award in the 3rd Analysys International Algorithm Competition -PV, UV Prediction Competition.
2019.8 Our paper ‘Large Scale Spectral Clustering Using Sparse Representation Based on Hubness’ won best paper award of CBDCom 2018.