You Liang

According to our database1, You Liang authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Novel Data-Driven Dynamic Network Science Application in Algorithmic Trading.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

A Cryptocurrency Multiple Trading Strategy with Kalman Filter Innovation Volatility Interval Forecasts.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Deep Learning Predictions for Cryptocurrencies.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Long Term Interval Forecasts of Demand using Data-Driven Dynamic Regression Models.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Intelligent Probabilistic Forecasts of VIX and its Volatility using Machine Learning Methods.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021
Population dynamics driven by truncated stable processes with Markovian switching.
J. Appl. Probab., 2021

Data-Driven Robust and Sparse Solutions for Large-scale Fuzzy Portfolio Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Fuzzy Option Pricing with Data-Driven Volatility using Novel Monte-Carlo Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Optimizing Sparse Matrix Multiplications for Graph Neural Networks.
Proceedings of the Languages and Compilers for Parallel Computing, 2021

A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Novel Data-Driven Resilient Portfolio Risk Measures Using Sign and Volatility Correlations.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Novel Algorithmic Trading Strategy using Hidden Markov Model for Kalman Filtering Innovations.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Fast hybrid dimensionality reduction method for classification based on feature selection and grouped feature extraction.
Expert Syst. Appl., 2020

Automatic bad channel detection in implantable brain-computer interfaces using multimodal features based on local field potentials and spike signals.
Comput. Biol. Medicine, 2020

A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Data-Driven Adaptive Regularized Risk Forecasting.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Dynamic Data Science Applications in Optimal Profit Algorithmic Trading.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019
Functional Connection Analysis in Nidupallium Caudolaterale of Pigeons During the Operant Conditioning Learning Process.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
Analysis of Non-Task State-Specific Rhythms in Nidopallium Caudolaterale of Pigeons.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2016
The Statistical Determinants of the Speed of Motor Learning.
PLoS Comput. Biol., 2016


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