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Xiao-Yang Liu — most-cited papers & profile · Recommender Systems
← authors
·
overview
Xiao-Yang Liu
16
papers ·
165
citations ·
38
h-index
Columbia University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Practical Deep Reinforcement Learning Approach for Stock Trading
2018 · 97 citations
Deep Reinforcement Learning for Intelligent Transportation Systems
2018 · 31 citations
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
2019 · 11 citations
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
2023 · 8 citations
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
2022 · 7 citations
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
2024 · 4 citations
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
2025 · 2 citations
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation
2020 · 2 citations
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
2021 · 2 citations
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
2023 · 1 citations
A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction
2025
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
2025
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
2025
Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System
2019
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach
2021
Topics
Value-Based
Multi-Agent
Policy Gradient
Model-Based RL
Domain — Energy/Weather
Quantum Machine Learning
NISQ
Quantum Algorithms
Hardware
Quantum Simulation