News List

2024/11 Welcome [Prof. Guillaume] and [Prof. Cesar] to our group for a one-month academic visit!

2024/09 Our team has one paper accepted by NeurIPS 2024.

2024/09 Our proposal for international workshop on CoLoRAI - Connecting Low-Rank Representations in Al in conjunction with AAAI 2025 has been accepted.[Link]

2024/05 Our team has five papers accepted by ICML 2024.

2024/02 Our team has one paper accepted by CVPR 2024.

2024/01 Our proposal for international workshop on TMME: Tensor Models for Machine lEarning - Empowering Efficiency, lnterpretability, and Reliability in conjunction with IEEE CAI 2024 has been accepted.

2024/01 Our team has two papers accepted by ICLR 2024 with one spotlight and one poster presentation.

2023/12 Our team has 3 papers accepted by AAAI 2024.

2023/09 Our two papers have been accepted to NeurIPS 2023.

2021/07 We organize a Special Issue in Frontier in Physics, Tensor Network Approaches for Quantum Many-body Physics and Machine Learning.

2021/07 Qibin Zhao gave a talk at RIKEN iThems.

2021/07 We will continueously organize Second Workshop on Quantum Tensor Networks in Machine Learning at NeurIPS 2021.

2021/05 Qibin Zhao gave a talk at SIAM Conference on Applied Linear Algebra (LA21).

2021/05 One paper has been accepted to ACL-IJCNLP 2021.

2021/03 Our paper has been accepted to CVPR 2021 workshop.

2021/03 FY2021 AIP Symposium.

2021/01 Our two papers have been accepted to ICASSP 2021.

2021/01 One paper has been accepted to AISTATS 2021.

2021/01 International Workshop on Tensor Network Representations in Machine Learning In conjunction with IJCAI-2020 has been held.

2020/12 First Workshop on Quantum Tensor Networks in Machine Learning In conjunction with NeurIPS 2020 has been held.

2020/11 Qibin Zhao made a presentation for . ACML 2020 Tutorial

2020/11 1st AIP Open Seminar Talks by our Team has been held.

2020/08 Our proposal for First Workshop on Quantum Tensor Networks in Machine Learning in conjunction with NeurIPS 2020 has been accepted.

2020/07 One paper has been accepted to ECCV 2020.

2020/07 Qibin Zhao gave a plenary talk at IIP 2020 (11th International Conference on Intelligent Information Processing).

2020/06 One paper has been accepted to ICML 2020.

2020/01 Prof. Michael Ng (The University of Hong Kong, China) gave a talk "Robust Tensor Completion and its Application".

2019/11 Qibin Zhao gave a talk at CAS-RIKEN young scientist seminar.

2019/11 Our three papers (one oral and two poster) have been accepted to AAAI 2020.

2019/10 Our paper has been accepted to ACML 2019 (Journal Track).

2019/09 2 papers have been accepted to NeurIPS 2019.

2019/08 Prof. Baogang Hu (Chinese Academy of Sciences, China) gave a talk "Genealized constraints for knowledge-driven-and-data-driven approaches".

2019/08 Prof. Liqing Zhang (Shanghai Jiao Tong University, China) gave a talk "Image Disentangled Representation and Multi-Attribute Transfer".

2019/05 Our paper has been accepted to ACL 2019.

2019/05 Our paper received IEEE Signal Processing Magazine Best Paper Award.

2019/05 Longhao Yuan recieved the Best Student Paper Award.

2019/02 2 papers have been accepted to CVPR 2019.

2019/02 5 papers have been accepted to ICASSP 2019.

2018/11 Our paper has been accepted to AAAI 2019.

2018/10 Unit Leader Qibin Zhao talked at International Workshop on Tensor Networks and Machine Learning, Skoltech, Moscow.

2018/06 Dr. Guillaume Rabusseau (McGill University, Canada) gave a talk "Machine Learning with Tensors for Structured Data".

2018/06 Lecture at Waseda University.

2018/05 Prof. Danilo Mandic (Imperial College London, UK) gave a talk "Hearables: Enabling technologies for lifelong learning in E-Health".

2018/04 Our paper has been accepted to IJCAI 2018.

2018/03 Prof. Justin Dauwels (Nanyang Technological University, Singapore) gave a talk "Bayesian Inference of Sparse Networks (BISN)".

2018/01 Our paper has been accepted to ICLR 2018 (Workshop).

2018/01 Our paper has been accepted to ICASSP 2018.

2017/12 Dr. Fabien Lotte (Inria Bordeaux Sud-Ouest, France) gave a talk "Combining machine learning and psychology to design usable Brain-Computer Interfaces".

2017/12 Dr. Tomasz M. RUTKOWSKI (Cogent Labs Inc., The University of Tokyo, Japan) gave a talk "End-to-end Deep-learning Approaches for Online BCI and Offline Experiment Brainwave Analyses".