The Statistical Determinants of the Speed of Motor Learning. - Kang He; You Liang; Farnaz Abdollahi; Moria F. Bittmann; Konrad P. Körding; Kunlin Wei (PLoS Comput. Biol., 2016)

Analysis of Non-Task State-Specific Rhythms in Nidopallium Caudolaterale of Pigeons. - Lifang Yang; Mengmeng Li 001; Kun Zhao; You Liang; Binbin Shang; Zhigang Shang; Hong Wan (CISP-BMEI, 2018)

Functional Connection Analysis in Nidupallium Caudolaterale of Pigeons During the Operant Conditioning Learning Process. - You Liang; Mengmeng Li 001; Lifang Yang; Zhigang Shang; Hong Wan (CISP-BMEI, 2019)

A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price. - You Liang; Aerambamoorthy Thavaneswaran; Alexander Paseka; Zimo Zhu; Ruppa K. Thulasiram (COMPSAC, 2020)

Dynamic Data Science Applications in Optimal Profit Algorithmic Trading. - You Liang; Aerambamoorthy Thavaneswaran; Na Yu; Md. Erfanul Hoque; Ruppa K. Thulasiram (COMPSAC, 2020)

Data-Driven Adaptive Regularized Risk Forecasting. - You Liang; Aerambamoorthy Thavaneswaran; Zimo Zhu; Ruppa K. Thulasiram; Md. Erfanul Hoque (COMPSAC, 2020)

Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading. - A. Thavaneswaran; You Liang; Zimo Zhu; Ruppa K. Thulasiram (FUZZ-IEEE, 2020)

A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility. - You Liang; Aerambamoorthy Thavaneswaran; Md. Erfanul Hoque (SSCI, 2020)

Automatic bad channel detection in implantable brain-computer interfaces using multimodal features based on local field potentials and spike signals. - Mengmeng Li 001; You Liang; Lifang Yang; Haofeng Wang; Zhongliang Yang; Kun Zhao; Zhigang Shang; Hong Wan (Comput. Biol. Medicine, 2020)

Fast hybrid dimensionality reduction method for classification based on feature selection and grouped feature extraction. - Mengmeng Li 001; Haofeng Wang; Lifang Yang; You Liang; Zhigang Shang; Hong Wan (Expert Syst. Appl., 2020)

A Novel Algorithmic Trading Strategy using Hidden Markov Model for Kalman Filtering Innovations. - Ethan Johnson-Skinner; You Liang; Na Yu; Alin Morariu (COMPSAC, 2021)

Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures. - You Liang; Aerambamoorthy Thavaneswaran; Alexander Paseka; Ruppa K. Thulasiram; Ethan Johnson-Skinner (COMPSAC, 2021)

Novel Data-Driven Resilient Portfolio Risk Measures Using Sign and Volatility Correlations. - Aerambamoorthy Thavaneswaran; You Liang; Na Yu; Alex Paseka; Ruppa K. Thulasiram (COMPSAC, 2021)

A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient. - Aerambamoorthy Thavaneswaran; You Liang; Alex Paseka; Md. Erfanul Hoque; Ruppa K. Thulasiram (FUZZ-IEEE, 2021)

Optimizing Sparse Matrix Multiplications for Graph Neural Networks. - Shenghao Qiu; You Liang; Zheng Wang 001 (LCPC, 2021)

Fuzzy Option Pricing with Data-Driven Volatility using Novel Monte-Carlo Approach. - You Liang; A. Thavaneswaran; Alexander Paseka; Janakumar Bhanushali (SSCI, 2021)

Data-Driven Robust and Sparse Solutions for Large-scale Fuzzy Portfolio Optimization. - Na Yu; You Liang; A. Thavaneswaran (SSCI, 2021)

Population dynamics driven by truncated stable processes with Markovian switching. - Zhenzhong Zhang; Jinying Tong; Qingting Meng; You Liang (J. Appl. Probab., 2021)

Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting. - Sulalitha Bowala; Mohammadreza Makhan; You Liang; Aerambamoorthy Thavaneswaran; Srimantoorao Semischetty Appadoo (CCECE, 2022)

Intelligent Probabilistic Forecasts of VIX and its Volatility using Machine Learning Methods. - Aerambamoorthy Thavaneswaran; You Liang; Sanjiv Das; Ruppa K. Thulasiram; Janakumar Bhanushali (CIFEr, 2022)

Long Term Interval Forecasts of Demand using Data-Driven Dynamic Regression Models. - You Liang; Aerambamoorthy Thavaneswaran (COMPSAC, 2022)

A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies. - You Liang; Aerambamoorthy Thavaneswaran; Alex Paseka; Wei Qiao; Melody Ghahramani; Sulalitha Bowala (COMPSAC, 2022)

Deep Learning Predictions for Cryptocurrencies. - Aerambamoorthy Thavaneswaran; You Liang; Sulalitha Bowala; Alex Paseka; Melody Ghahramani (COMPSAC, 2022)

A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility. - You Liang; Aerambamoorthy Thavaneswaran; Alex Paseka; Sulalitha Bowala; Juan Liyau (COMPSAC, 2023)

A Cryptocurrency Multiple Trading Strategy with Kalman Filter Innovation Volatility Interval Forecasts. - You Liang; Aerambamoorthy Thavaneswaran; Juan Liyau; Areebah Muhammad; Thimani Ranathungage; Ruppa K. Thulasiram (COMPSAC, 2024)

Novel Data-Driven Dynamic Network Science Application in Algorithmic Trading. - Thimani Ranathungage; Aerambamoorthy Thavaneswaran; You Liang; Ruppa K. Thulasiram; Alex Paseka (COMPSAC, 2024)

Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models. - Avanthi Saumyamala; Sulalitha Bowala; You Liang; Shanika Basnayake; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram (COMPSAC, 2024)

Superiority of RMT Filtered Data-Driven Covariance Matrix for Portfolio Optimization and Resilient Networks. - Avanthi Saumyamala; Sulalitha Bowala; Aerambamoorthy Thavaneswaran; You Liang; Alex Paseka; Ruppa K. Thulasiram (COMPSAC, 2025)

Superiority of the Neural Network Models for Multivariate Price and Volatility Forecasting. - Avanthi Saumyamala; You Liang; Aerambamoorthy Thavaneswaran; Alex Paseka; Sulalitha Bowala; Ruppa K. Thulasiram (COMPSAC, 2025)