Chiao-Ting Chen
Orcid: 0000-0003-3900-2639
According to our database1,
Chiao-Ting Chen authored at least 29 papers
between 2016 and 2026.
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Bibliography
2026
Pattern Recognit., 2026
Contextual reinforcement learning for market making via multi-task self-supervised learning.
Eng. Appl. Artif. Intell., 2026
Financial reinforcement learning under concept drift based on knowledge distillation and curriculum learning.
Decis. Support Syst., 2026
2025
FairCDSR: Fairness-Aware Cross-Domain Sequential Recommendation via Multi-Interest Transfer and Contrastive Learning.
IEEE Trans. Knowl. Data Eng., September, 2025
Inf. Fusion, 2025
Decis. Support Syst., 2025
Portfolio management using online reinforcement learning with adaptive exploration and Multi-task self-supervised representation.
Appl. Soft Comput., 2025
Strategy allocation for financial trading using competitive reinforcement learning and fuzzy logic.
Appl. Soft Comput., 2025
2024
Member-Augmented Group Recommendation With Multi-Interest Framework and Knowledge Graph Embeddings.
IEEE Trans. Comput. Soc. Syst., June, 2024
ACM Trans. Knowl. Discov. Data, April, 2024
Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System.
ACM Trans. Intell. Syst. Technol., April, 2024
ACM Trans. Intell. Syst. Technol., April, 2024
2023
Knowledge distillation for portfolio management using multi-agent reinforcement learning.
Adv. Eng. Informatics, August, 2023
A multi-agent virtual market model for generalization in reinforcement learning based trading strategies.
Appl. Soft Comput., February, 2023
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2023
Hierarchical Reinforcement Learning for Conversational Recommendation With Knowledge Graph Reasoning and Heterogeneous Questions.
IEEE Trans. Serv. Comput., 2023
ACM Trans. Intell. Syst. Technol., 2023
Attentive gated graph sequence neural network-based time-series information fusion for financial trading.
Inf. Fusion, 2023
2022
Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning.
Neural Comput. Appl., 2022
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering.
Expert Syst. Appl., 2022
Appl. Soft Comput., 2022
Explainable mutual fund recommendation system developed based on knowledge graph embeddings.
Appl. Intell., 2022
2021
Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism.
IEEE Access, 2021
Improving Generalization in Reinforcement Learning-Based Trading by Using a Generative Adversarial Market Model.
IEEE Access, 2021
Adversarial Attacks Against Reinforcement Learning-Based Portfolio Management Strategy.
IEEE Access, 2021
2019
Proceedings of the IEEE International Conference on Agents, 2019
Forecasting Interaction of Exchange Rates Between Fiat Currencies and Cryptocurrencies Based on Deep Relation Networks.
Proceedings of the IEEE International Conference on Agents, 2019
2018
Cloning Strategies from Trading Records using Agent-based Reinforcement Learning Algorithm.
Proceedings of the IEEE International Conference on Agents, 2018
2016
Decision Support System for Real-Time Trading Based on On-Line Learning and Parallel Computing Techniques.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016