Decision Support System for Real-Time Trading Based on On-Line Learning and Parallel Computing Techniques. - Chiao-Ting Chen; Chih-Yen Hsiao; Jiun-Yi Lin; Shih-Jung Huang; Yang Chang; Szu-Hao Huang (CCBD, 2016)

Cloning Strategies from Trading Records using Agent-based Reinforcement Learning Algorithm. - Chiao-Ting Chen; An-Pin Chen; Szu-Hao Huang (ICA, 2018)

Forecasting Interaction of Exchange Rates Between Fiat Currencies and Cryptocurrencies Based on Deep Relation Networks. - Chiao-Ting Chen; Lin-Kuan Chiang; Yi-Cheng Huang; Szu-Hao Huang (ICA, 2019)

Deep Learning in Model Risk Neutral Distribution for Option Pricing. - Chin Chou; Jhih-Chen Liu; Chiao-Ting Chen; Szu-Hao Huang (ICA, 2019)

Adversarial Attacks Against Reinforcement Learning-Based Portfolio Management Strategy. - Yu-Ying Chen; Chiao-Ting Chen; Chuan-Yun Sang; Yao-Chun Yang; Szu-Hao Huang (IEEE Access, 2021)

Improving Generalization in Reinforcement Learning-Based Trading by Using a Generative Adversarial Market Model. - Chia-Hsuan Kuo; Chiao-Ting Chen; Sin-Jing Lin; Szu-Hao Huang (IEEE Access, 2021)

Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism. - Pei-Ying Wang; Chiao-Ting Chen; Jain-Wun Su; Ting-Yun Wang; Szu-Hao Huang (IEEE Access, 2021)

Explainable mutual fund recommendation system developed based on knowledge graph embeddings. - Pei-Ying Hsu; Chiao-Ting Chen; Chin Chou; Szu-Hao Huang (Appl. Intell., 2022)

Multiagent-based deep reinforcement learning for risk-shifting portfolio management. - Yu-Cen Lin; Chiao-Ting Chen; Chuan-Yun Sang; Szu-Hao Huang (Appl. Soft Comput., 2022)

Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering. - Yi-Ching Chou; Chiao-Ting Chen; Szu-Hao Huang (Expert Syst. Appl., 2022)

Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning. - Zih-Wun Wu; Chiao-Ting Chen; Szu-Hao Huang (Neural Comput. Appl., 2022)

Attentive gated graph sequence neural network-based time-series information fusion for financial trading. - Wei-Chia Huang; Chiao-Ting Chen; Chi Lee; Fan-Hsuan Kuo; Szu-Hao Huang (Inf. Fusion, 2023)

Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation. - Wun-Ting Yang; Chiao-Ting Chen; Chuan-Yun Sang; Szu-Hao Huang (ACM Trans. Intell. Syst. Technol., 2023)

Hierarchical Reinforcement Learning for Conversational Recommendation With Knowledge Graph Reasoning and Heterogeneous Questions. - Yao-Chun Yang; Chiao-Ting Chen; Tzu-Yu Lu; Szu-Hao Huang (IEEE Trans. Serv. Comput., 2023)

Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation. - Ting-Yun Wang; Chiao-Ting Chen; Ju-Chun Huang; Szu-Hao Huang (ACM Trans. Knowl. Discov. Data, 2023)

A multi-agent virtual market model for generalization in reinforcement learning based trading strategies. - Fei-Fan He; Chiao-Ting Chen; Szu-Hao Huang (Appl. Soft Comput., 2023)

Knowledge distillation for portfolio management using multi-agent reinforcement learning. - Min-You Chen; Chiao-Ting Chen; Szu-Hao Huang (Adv. Eng. Informatics, 2023)

Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning. - Chiao-Ting Chen; Chi Lee; Szu-Hao Huang; Wen-Chih Peng (ACM Trans. Intell. Syst. Technol., 2024)

Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System. - Jhih-Chen Liu; Chiao-Ting Chen; Chi Lee; Szu-Hao Huang (ACM Trans. Intell. Syst. Technol., 2024)

Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation. - Chi-Wei Hsu; Chiao-Ting Chen; Szu-Hao Huang (ACM Trans. Knowl. Discov. Data, 2024)

Member-Augmented Group Recommendation With Multi-Interest Framework and Knowledge Graph Embeddings. - Sin-Jing Lin; Chiao-Ting Chen; Szu-Hao Huang (IEEE Trans. Comput. Soc. Syst., 2024)

Portfolio management using online reinforcement learning with adaptive exploration and Multi-task self-supervised representation. - Chuan-Yun Sang; Szu-Hao Huang; Chiao-Ting Chen; Heng-Ta Chang (Appl. Soft Comput., 2025)

Multi-interest transfer using contrastive learning for cross-domain recommendation. - Yu-Lin Lai; Szu-Hao Huang; Chiao-Ting Chen; Cheng-Jhang Wu (Decis. Support Syst., 2025)

Evolving intra-and inter-session graph fusion for next item recommendation. - Jain-Wun Su; Chiao-Ting Chen; De-Ren Toh; Szu-Hao Huang (Inf. Fusion, 2025)

FairCDSR: Fairness-Aware Cross-Domain Sequential Recommendation via Multi-Interest Transfer and Contrastive Learning. - De-Ren Toh; Szu-Hao Huang; Chiao-Ting Chen (IEEE Trans. Knowl. Data Eng., 2025)