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Yao Lei Xu
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Journal Articles
- 2023
- [j2]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. Neural Comput. 35(8): 1404-1429 (2023) - 2022
- [j1]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. IEEE Signal Process. Mag. 39(5): 63-70 (2022)
Conference and Workshop Papers
- 2023
- [c11]Arie N. Arya, Yao Lei Xu, Ljubisa Stankovic, Danilo P. Mandic:
Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator. ICASSP 2023: 1-5 - [c10]Aaman Rebello, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning. ICASSP 2023: 1-5 - [c9]Thanos Konstantinidis, Arnau Bonet Farres, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
Financial News Classification Model for NLP-based Bond Portfolio Construction. DSP 2023: 1-5 - [c8]Thanos Konstantinidis, Maya Golan, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
Text Mining for Sentiment Analysis in Bond Portfolio Construction. DSP 2023: 1-5 - [c7]Thanos Konstantinidis, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
A comparative study on ML-based approaches for Main Entity Detection in Financial Reports. DSP 2023: 1-5 - 2022
- [c6]Jacobo Roa-Vicens, Yao Lei Xu, Ricardo Silva, Danilo P. Mandic:
Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books. ICAIF 2022: 207-213 - [c5]Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic:
Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP 2022: 3638-3642 - [c4]Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic:
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP 2022: 3928-3932 - 2021
- [c3]Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequences. EUSIPCO 2021: 1795-1799 - [c2]Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. IJCNN 2021: 1-5 - [c1]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN 2021: 1-5
Informal and Other Publications
- 2023
- [i9]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains. CoRR abs/2303.13565 (2023) - [i8]Mingxue Xu, Yao Lei Xu, Danilo P. Mandic:
TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition. CoRR abs/2307.00526 (2023) - 2022
- [i7]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR abs/2211.05581 (2022) - 2021
- [i6]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR abs/2103.14998 (2021) - [i5]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. CoRR abs/2105.04983 (2021) - [i4]Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. CoRR abs/2105.04991 (2021) - [i3]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR abs/2109.00626 (2021) - 2020
- [i2]Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks. CoRR abs/2009.08727 (2020) - [i1]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Multi-Graph Tensor Networks. CoRR abs/2010.13209 (2020)
Coauthor Index
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