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publications

On the Memory Mechanism of Tensor-Power Recurrent Model

Published in International Conference on Artificial Intelligence and Statistics, 2021

Focus on the long-term memory and stability of tensor recurrent model with developing a degree-differentiable model benefit from long-term effect in a stable manner, cooperate with RIKEN AIP Tensor Learning Team.

Recommended citation: Qiu, H., Li, C., Weng, Y., Sun, Z., He, X. and Zhao, Q., 2021, March. On the Memory Mechanism of Tensor-Power Recurrent Models. In International Conference on Artificial Intelligence and Statistics (pp. 3682-3690). PMLR. http://proceedings.mlr.press/v130/qiu21a.html

Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory

Published in IEEE Transactions on Neural Networks and Learning Systems, 2023

Our new model, named fractional tensor recurrent unit (fTRU), is expected to seek the saddle point between long memory property and model stability during the training. We experimentally show that the proposed model achieves competitive performance with a long memory and stable manners in several forecasting tasks compared to various advanced RNNs.

Recommended citation: H. Qiu, C. Li, Y. Weng, Z. Sun and Q. Zhao, "Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3338696. https://ieeexplore.ieee.org/document/10361837

Reviewer

Published in , 2024

Served as the reviewer of various top journal and conference in CS/ML/AI community, such as Neural Networks and MICCAI.

talks

teaching

GTA - Machine Learning

Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2020

Be undergraduate teaching assistant (GTA) in Machine Learning.

GTA - System & Architectures

Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2021

Be undergraduate teaching assistant (GTA) in System & Architectures.

GTA - Machine Learning

Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2021

Be undergraduate teaching assistant (GTA) in Machine Learning.

GTA - System & Architectures

Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2022

Be undergraduate teaching assistant (GTA) in System & Architectures.

GTA - Machine Learning

Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2022

Be undergraduate teaching assistant (GTA) in Machine Learning.

GTA - System & Architectures

Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2023

Be undergraduate teaching assistant (GTA) in System & Architectures.

GTA - System & Architectures

Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2024

Be undergraduate teaching assistant (GTA) in System & Architectures.