Qibin Zhao
Qibin Zhao (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Qibin Zhao
  • Research scientist
    Chao Li
  • Postdoctoral researcher
    Andong Wang
  • Postdoctoral researcher
    Mingyuan Bai
  • Intern
    Yuyuan Yu
  • Intern
    Haonan Huang
  • Senior visiting scientist
    A Cichocki
  • Senior visiting scientist
    Jian-ting Cao
  • Visiting scientist
    Toshihisa Tanaka
  • Visiting scientist
    Cesar Caiafa
  • Visiting scientist
    Tatsuya Yokota
  • Visiting scientist
    Motoaki Kawanabe
  • Visiting scientist
    Xuyang Zhao
  • Visiting scientist
    Jianfu Zhang
  • Visiting scientist
    Reinmar Kobler
  • Visiting scientist
    Keping Yu
  • International Program Associate
    Tenghui Li
  • International Program Associate
    Yichun Qiu
  • International Program Associate
    Junhua Zeng
  • Junior research associate
    Linfeng Sui
  • Junior research associate
    Zerui Tao
  • Junior research associate
    Guang Lin
  • Part-time worker I
    Huidong Jiang
  • Part-time worker II
    Jinyu Gu
  • Part-time worker II
    Derun Zhou
  • Part-time worker II
    Vishal Chauhan

Introduction

Laboratory's photo

We study various tensor-based machine learning technologies, e.g., tensor decomposition, multilinear latent variable model, tensor regression and classification, tensor networks, deep tensor learning, and Bayesian tensor learning, with aim to facilitate the learning from high-order structured data or large-scale latent space. Our goal is to develop innovative, scalable and efficient tensor learning algorithms supported by theoretical principles. The novel applications in computer vision and brain data analysis will also be explored to provide new insights into tensor learning methods.

Main Research Field
Computer Science
Research Field
Engineering / Neuroscience & Behavior / Mathematics
Research Subjects
Tensor Decomposition and Tensor Networks
Bayesian Tensor Learning
Deep Tensor Learning
Laboratory Website URL
https://qibinzhao.github.io
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/generic_tech/tensor_learn/

Introduction Video

AIP Open Seminar #1: Tensor Learning Team (PI: Qibin Zhao) thumbnails
Show details
Poster(s)

Related posts

posted on May 2, 2023 09:42Information
23 papers have been accepted at ICML 2023
posted on December 25, 2022 18:45Information
Three papers were accepted at AAAI-23
posted on October 6, 2022 23:01Seminar
The tensor-train format and its applications
posted on September 27, 2022 19:29Information
23 papers were accepted at NeurIPS 2022
posted on May 23, 2022 10:51Information
11 papers have been accepted at ICML 2022
posted on April 25, 2022 15:23Information
Four Papers have been accepted at IJCAI 2022
posted on March 7, 2022 16:39Information
Nine papers were accepted at CVPR 2022
posted on January 4, 2022 15:33Seminar
Tensor Learning Team Seminar (Talk by Dr. Reinmar Kobler, RIKEN AIP)
posted on May 24, 2021 14:31Information
Eight Papers have been accepted at ACL 2021
posted on May 17, 2021 09:37Seminar
Tensor Learning Team Seminar (Talk by Andong Wang, Guangdong University of Technology)
posted on January 29, 2021 13:48Information
17 papers were accepted at AISTATS 2021
posted on January 27, 2021 11:12Information
Five papers were accepted at AAAI-21
posted on October 22, 2020 16:53Seminar
[1st AIP Open Seminar] Talks by Tensor Learning Team
posted on July 7, 2020 15:05Information
Papers were accepted at ECCV 2020
posted on June 22, 2020 16:28Award
Five researchers received RIKEN Ohbu Award 2019
posted on July 16, 2020 15:15Information
Eighteen papers were accepted at ICML 2020
posted on December 5, 2019 09:30Information
Fourteen papers were accepted at AAAI-20
posted on November 14, 2019 10:44Information
Our three researchers gave presentations at CAS-RIKEN Young Scientists Seminar
posted on October 17, 2019 11:30Information
Tomasz M. Rutkowski and Andrzej Cichocki gave invited talks at International Conference Brain-computer Interface - Science and Practice 2019, Samara , Russia
posted on September 11, 2019 12:00Information
21 papers were accepted at NeurIPS 2019
posted on June 3, 2019 14:20Information
Eleven papers have been accepted at CVPR 2019
posted on May 21, 2019 09:00Award
Longhao Yuan of Tensor Learning Unit received the Best Student Paper Award, IEEE-ICASSP 2019
posted on May 21, 2019 09:20Award
The Tensor Learning Unit received IEEE Signal Processing Magazine Best Paper Award
posted on January 31, 2019 10:46Award
Qibin Zhao and Andrzej Cichock received IEEE SPS Japan Best Paper Award
posted on November 16, 2018 17:18Information
Thirteen papers have been accepted at AAAI-19
posted on October 25, 2018 10:07Information
Unit Leader Qibin Zhao talked at International Workshop, Skoltech, Moscow
posted on September 25, 2018 11:09Information
NUS SoC – RIKEN AIP Workshop on Artificial Intelligence in Singapore