Szu-Hao Huang

Orcid: 0000-0002-4073-0652

According to our database1, Szu-Hao Huang authored at least 50 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation.
ACM Trans. Knowl. Discov. Data, April, 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

Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation.
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

Multiagent-based deep reinforcement learning for risk-shifting portfolio management.
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
Sentiment-influenced trading system based on multimodal deep reinforcement learning.
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

Deep Learning in Model Risk Neutral Distribution for Option Pricing.
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

Financial Time-Series Data Analysis Using Deep Convolutional Neural Networks.
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
Automated visual inspection in the semiconductor industry: A survey.
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
Learning-based Human Fall Detection using RGB-D cameras.
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
A learning-based contrarian trading strategy via a dual-classifier model.
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

Robust local intervertebral disc alignment for spinal MRI.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Learning-Based Interactive Video Retrieval System.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

2005
Learning-based video fast-pan detection.
Proceedings of the ITRE 2005, 2005

Intelligent home video management system.
Proceedings of the ITRE 2005, 2005

2004
Real-Time Face Detection in Color Video.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Detecting Faces from Color Video by Using Paired Wavelet Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004


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