Yao Lei Xu

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 22

Top Topics

Efficient Compression

Stock Market Prediction

Variational Bayesian

Top Venues

Publications

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)
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)
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 (2023)
Mingxue Xu, Yao Lei Xu, Danilo P. Mandic
TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition. CoRR (2023)
Thanos Konstantinidis, Maya Golan, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic
Text Mining for Sentiment Analysis in Bond Portfolio Construction. DSP (2023)
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)
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) (2023)
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)
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)
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) (2022)
Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP (2022)
Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic
Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP (2022)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR (2022)
Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN (2021)
Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. CoRR (2021)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR (2021)
Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR (2021)
Yao Lei Xu, Danilo P. Mandic
Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequences. EUSIPCO (2021)
Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic
Graph Theory for Metro Traffic Modelling. CoRR (2021)
Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic
Graph Theory for Metro Traffic Modelling. IJCNN (2021)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Multi-Graph Tensor Networks. CoRR (2020)
Yao Lei Xu, Danilo P. Mandic
Recurrent Graph Tensor Networks. CoRR (2020)