Chiao-Ting Chen

29 papers Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contextual reinforcement learning for market making via multi-task self-supervised learning.
Eng. Appl. Artif. Intell.
Pin-Yao Wen, Szu-Hao Huang, Chiao-Ting Chen, Yi-Tang Fang
2026 J jnl
Financial reinforcement learning under concept drift based on knowledge distillation and curriculum learning.
Decis. Support Syst.
Chang'an Wang, Szu-Hao Huang, Chiao-Ting Chen, Yi-Tang Fang
2026 J jnl
RGAL: Node-adaptive training strategies for reinforced graph adversarial learning.
Pattern Recognit.
Wan-Ju Wu, Szu-Hao Huang, Chiao-Ting Chen, Shuo Fang
2025 J jnl
Evolving intra-and inter-session graph fusion for next item recommendation.
Inf. Fusion
Jain-Wun Su, Chiao-Ting Chen, De-Ren Toh, Szu-Hao Huang
2025 J jnl
FairCDSR: Fairness-Aware Cross-Domain Sequential Recommendation via Multi-Interest Transfer and Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
De-Ren Toh, Szu-Hao Huang, Chiao-Ting Chen
2025 J jnl
Multi-interest transfer using contrastive learning for cross-domain recommendation.
Decis. Support Syst.
Yu-Lin Lai, Szu-Hao Huang, Chiao-Ting Chen, Cheng-Jhang Wu
2025 J jnl
Portfolio management using online reinforcement learning with adaptive exploration and Multi-task self-supervised representation.
Appl. Soft Comput.
Chuan-Yun Sang, Szu-Hao Huang, Chiao-Ting Chen, Heng-Ta Chang
2025 J jnl
Strategy allocation for financial trading using competitive reinforcement learning and fuzzy logic.
Appl. Soft Comput.
Ju-Chun Huang, Chiao-Ting Chen, Chih-Chung Chang, Szu-Hao Huang
2024 J jnl
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation.
ACM Trans. Knowl. Discov. Data
Chi-Wei Hsu, Chiao-Ting Chen, Szu-Hao Huang
2024 J jnl
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning.
ACM Trans. Intell. Syst. Technol.
Chiao-Ting Chen, Chi Lee, Szu-Hao Huang, Wen-Chih Peng
2024 J jnl
Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System.
ACM Trans. Intell. Syst. Technol.
Jhih-Chen Liu, Chiao-Ting Chen, Chi Lee, Szu-Hao Huang
2024 J jnl
Member-Augmented Group Recommendation With Multi-Interest Framework and Knowledge Graph Embeddings.
IEEE Trans. Comput. Soc. Syst.
Sin-Jing Lin, Chiao-Ting Chen, Szu-Hao Huang
2023 J jnl
A multi-agent virtual market model for generalization in reinforcement learning based trading strategies.
Appl. Soft Comput.
Fei-Fan He, Chiao-Ting Chen, Szu-Hao Huang
2023 J jnl
Attentive gated graph sequence neural network-based time-series information fusion for financial trading.
Inf. Fusion
Wei-Chia Huang, Chiao-Ting Chen, Chi Lee, Fan-Hsuan Kuo, Szu-Hao Huang
2023 J jnl
Hierarchical Reinforcement Learning for Conversational Recommendation With Knowledge Graph Reasoning and Heterogeneous Questions.
IEEE Trans. Serv. Comput.
Yao-Chun Yang, Chiao-Ting Chen, Tzu-Yu Lu, Szu-Hao Huang
2023 J jnl
Knowledge distillation for portfolio management using multi-agent reinforcement learning.
Adv. Eng. Informatics
Min-You Chen, Chiao-Ting Chen, Szu-Hao Huang
2023 J jnl
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation.
ACM Trans. Knowl. Discov. Data
Ting-Yun Wang, Chiao-Ting Chen, Ju-Chun Huang, Szu-Hao Huang
2023 J jnl
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation.
ACM Trans. Intell. Syst. Technol.
Wun-Ting Yang, Chiao-Ting Chen, Chuan-Yun Sang, Szu-Hao Huang
2022 J jnl
Explainable mutual fund recommendation system developed based on knowledge graph embeddings.
Appl. Intell.
Pei-Ying Hsu, Chiao-Ting Chen, Chin Chou, Szu-Hao Huang
2022 J jnl
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering.
Expert Syst. Appl.
Yi-Ching Chou, Chiao-Ting Chen, Szu-Hao Huang
2022 J jnl
Multiagent-based deep reinforcement learning for risk-shifting portfolio management.
Appl. Soft Comput.
Yu-Cen Lin, Chiao-Ting Chen, Chuan-Yun Sang, Szu-Hao Huang
2022 J jnl
Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning.
Neural Comput. Appl.
Zih-Wun Wu, Chiao-Ting Chen, Szu-Hao Huang
2021 J jnl
Adversarial Attacks Against Reinforcement Learning-Based Portfolio Management Strategy.
IEEE Access
Yu-Ying Chen, Chiao-Ting Chen, Chuan-Yun Sang, Yao-Chun Yang, Szu-Hao Huang
2021 J jnl
Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism.
IEEE Access
Pei-Ying Wang, Chiao-Ting Chen, Jain-Wun Su, Ting-Yun Wang, Szu-Hao Huang
2021 J jnl
Improving Generalization in Reinforcement Learning-Based Trading by Using a Generative Adversarial Market Model.
IEEE Access
Chia-Hsuan Kuo, Chiao-Ting Chen, Sin-Jing Lin, Szu-Hao Huang
2019 — conf
Deep Learning in Model Risk Neutral Distribution for Option Pricing.
ICA
Chin Chou, Jhih-Chen Liu, Chiao-Ting Chen, Szu-Hao Huang
2019 — conf
Forecasting Interaction of Exchange Rates Between Fiat Currencies and Cryptocurrencies Based on Deep Relation Networks.
ICA
Chiao-Ting Chen, Lin-Kuan Chiang, Yi-Cheng Huang, Szu-Hao Huang
2018 — conf
Cloning Strategies from Trading Records using Agent-based Reinforcement Learning Algorithm.
ICA
Chiao-Ting Chen, An-Pin Chen, Szu-Hao Huang
2016 — conf
Decision Support System for Real-Time Trading Based on On-Line Learning and Parallel Computing Techniques.
CCBD
Chiao-Ting Chen, Chih-Yen Hsiao, Jiun-Yi Lin, Shih-Jung Huang, Yang Chang, Szu-Hao Huang