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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
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
Published in , 2024
Served as the reviewer of various top journal and conference in CS/ML/AI community, such as Neural Networks and MICCAI.
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Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2020
Be undergraduate teaching assistant (GTA) in Machine Learning.
Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2021
Be undergraduate teaching assistant (GTA) in System & Architectures.
Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2021
Be undergraduate teaching assistant (GTA) in Machine Learning.
Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2022
Be undergraduate teaching assistant (GTA) in System & Architectures.
Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2022
Be undergraduate teaching assistant (GTA) in Machine Learning.
Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2023
Be undergraduate teaching assistant (GTA) in System & Architectures.
Undergraduate course, University of Nottingham Ningbo China, School of Computer Science, 2024
Be undergraduate teaching assistant (GTA) in System & Architectures.