Szu-Hao Huang
Orcid: 0000-0002-4073-0652
According to our database1,
Szu-Hao Huang
authored at least 55 papers
between 2004 and 2025.
Collaborative distances:
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Bibliography
2025
Inf. Fusion, 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
Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs.
Appl. Intell., March, 2024
2023
Knowledge distillation for portfolio management using multi-agent reinforcement learning.
Adv. Eng. Informatics, August, 2023
Interactively transforming chinese ink paintings into realistic images using a border enhance generative adversarial network.
Multim. Tools Appl., March, 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
Poisoning attacks on face authentication systems by using the generative deformation model.
Multim. Tools Appl., 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
Generating a trading strategy in the financial market from sensitive expert data based on the privacy-preserving generative adversarial imitation network.
Neurocomputing, 2022
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering.
Expert Syst. Appl., 2022
Appl. Soft Comput., 2022
Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning.
Appl. Intell., 2022
Explainable mutual fund recommendation system developed based on knowledge graph embeddings.
Appl. Intell., 2022
2021
Appl. Soft Comput., 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
Novel Deep Reinforcement Algorithm With Adaptive Sampling Strategy for Continuous Portfolio Optimization.
IEEE Access, 2021
Interpretable Stock Anomaly Detection Based on Spatio-Temporal Relation Networks With Genetic Algorithm.
IEEE Access, 2021
Adversarial Attacks Against Reinforcement Learning-Based Portfolio Management Strategy.
IEEE Access, 2021
2020
SOChain: A Privacy-Preserving DDoS Data Exchange Service Over SOC Consortium Blockchain.
IEEE Trans. Engineering Management, 2020
2019
A Robo-Advisor Design using Multiobjective RankNets with Gated Neural Network Structure.
Proceedings of the IEEE International Conference on Agents, 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
A Market Making Quotation Strategy Based on Dual Deep Learning Agents for Option Pricing and Bid-Ask Spread Estimation.
Proceedings of the IEEE International Conference on Agents, 2018
Developing Arbitrage Strategy in High-frequency Pairs Trading with Filterbank CNN Algorithm.
Proceedings of the IEEE International Conference on Agents, 2018
Cloning Strategies from Trading Records using Agent-based Reinforcement Learning Algorithm.
Proceedings of the IEEE International Conference on Agents, 2018
2016
Binary Classification and Data Analysis for Modeling Calendar Anomalies in Financial Markets.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 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
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016
Affinity Propagation Clustering for Intelligent Portfolio Diversification and Investment Risk Reduction.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016
2015
Comput. Ind., 2015
Simultaneous Stereo Rectification and Distortion Correction with Application to DoF Synthesis.
Proceedings of the 23rd Pacific Conference on Computer Graphics and Applications, 2015
Using line consistency to estimate 3D indoor Manhattan scene layout from a single image.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2013
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013
Evaluating Interactions between Appearance-Related Product Designs and Facial Characteristics.
Proceedings of the Fifth International Conference on Service Science and Innovation, 2013
2012
Human-centric design personalization of 3D glasses frame in markerless augmented reality.
Adv. Eng. Informatics, 2012
2011
ACM Trans. Intell. Syst. Technol., 2011
People Localization in a Camera Network Combining Background Subtraction and Scene-Aware Human Detection.
Proceedings of the Advances in Multimedia Modeling, 2011
2009
Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI.
IEEE Trans. Medical Imaging, 2009
2008
Real-Time Video Surveillance Based on Combining Foreground Extraction and Human Detection.
Proceedings of the Advances in Multimedia Modeling, 2008
A statistical learning appproach to vertebra detection and segmentation from spinal MRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2006
Improved AdaBoost-based image retrieval with relevance feedback via paired feature learning.
Multim. Syst., 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006
2005
2004
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004