Yao Lei Xu - RankMe

23 papers B 2Misc 4Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices. CoRR Mingxue Xu, Yao Lei Xu, Danilo P. Mandic
2023	—	`conf`	A comparative study on ML-based approaches for Main Entity Detection in Financial Reports. DSP Thanos Konstantinidis, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic
2023	—	`conf`	Financial News Classification Model for NLP-based Bond Portfolio Construction. DSP Thanos Konstantinidis, Arnau Bonet Farres, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic
2023	J	`jnl`	Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2023	J	`jnl`	Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. Neural Comput. Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2023	Misc	`conf`	Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator. ICASSP Arie N. Arya, Yao Lei Xu, Ljubisa Stankovic, Danilo P. Mandic
2023	Misc	`conf`	Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning. ICASSP Aaman Rebello, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
2023	J	`jnl`	TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition. CoRR Mingxue Xu, Yao Lei Xu, Danilo P. Mandic
2023	—	`conf`	Text Mining for Sentiment Analysis in Bond Portfolio Construction. DSP Thanos Konstantinidis, Maya Golan, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic
2022	J	`jnl`	Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. IEEE Signal Process. Mag. Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
2022	—	`conf`	Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books. ICAIF Jacobo Roa-Vicens, Yao Lei Xu, Ricardo Silva, Danilo P. Mandic
2022	J	`jnl`	Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2022	Misc	`conf`	Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic
2022	Misc	`conf`	Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic
2021	B	`conf`	Graph Theory for Metro Traffic Modelling. IJCNN Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic
2021	J	`jnl`	Graph Theory for Metro Traffic Modelling. CoRR Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic
2021	—	`conf`	Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequences. EUSIPCO Yao Lei Xu, Danilo P. Mandic
2021	J	`jnl`	Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
2021	J	`jnl`	Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2021	B	`conf`	Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic
2021	J	`jnl`	Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. CoRR Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic
2020	J	`jnl`	Multi-Graph Tensor Networks. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2020	J	`jnl`	Recurrent Graph Tensor Networks. CoRR Yao Lei Xu, Danilo P. Mandic