Chiao-Ting Chen

According to our database, Chiao-Ting Chen authored at least 26 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 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

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

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

Strategy allocation for financial trading using competitive reinforcement learning and fuzzy logic.

Ju-Chun Huang, Chiao-Ting Chen, Chih-Chung Chang, Szu-Hao Huang

Appl. Soft Comput., 2025

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., June, 2024

Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation.

Chi-Wei Hsu, Chiao-Ting Chen, Szu-Hao Huang

ACM Trans. Knowl. Discov. Data, April, 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., April, 2024

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., April, 2024

2023

Knowledge distillation for portfolio management using multi-agent reinforcement learning.

Min-You Chen, Chiao-Ting Chen, Szu-Hao Huang

Adv. Eng. Informatics, August, 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., February, 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, January, 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

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

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

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

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

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

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

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

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

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

2019

Deep Learning in Model Risk Neutral Distribution for Option Pricing.

Chin Chou, Jhih-Chen Liu, Chiao-Ting Chen, Szu-Hao Huang

Proceedings of the IEEE International Conference on Agents, 2019

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

Proceedings of the IEEE International Conference on Agents, 2019

2018

Cloning Strategies from Trading Records using Agent-based Reinforcement Learning Algorithm.

Chiao-Ting Chen, An-Pin Chen, Szu-Hao Huang

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.

Chiao-Ting Chen, Chih-Yen Hsiao, Jiun-Yi Lin, Shih-Jung Huang, Yang Chang, Szu-Hao Huang

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016