Szu-Hao Huang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 39

Top Topics

Portfolio Management

Recommendation Systems

Affinity Propagation Clustering

Sampling Strategies

Top Venues

Publications

Chiao-Ting Chen, Chi Lee, Szu-Hao Huang, Wen-Chih Peng
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Mei-Chen Wu, Szu-Hao Huang, An-Pin Chen
Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs. Appl. Intell. 54 (5) (2024)
Chi-Wei Hsu, Chiao-Ting Chen, Szu-Hao Huang
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Jhih-Chen Liu, Chiao-Ting Chen, Chi Lee, Szu-Hao Huang
Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Sin-Jing Lin, Chiao-Ting Chen, Szu-Hao Huang
Member-Augmented Group Recommendation With Multi-Interest Framework and Knowledge Graph Embeddings. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Chieh-Yu Chung, Szu-Hao Huang
Interactively transforming chinese ink paintings into realistic images using a border enhance generative adversarial network. Multim. Tools Appl. 82 (8) (2023)
Wei-Chia Huang, Chiao-Ting Chen, Chi Lee, Fan-Hsuan Kuo, Szu-Hao Huang
Attentive gated graph sequence neural network-based time-series information fusion for financial trading. Inf. Fusion 91 (2023)
Yao-Chun Yang, Chiao-Ting Chen, Tzu-Yu Lu, Szu-Hao Huang
Hierarchical Reinforcement Learning for Conversational Recommendation With Knowledge Graph Reasoning and Heterogeneous Questions. IEEE Trans. Serv. Comput. 16 (5) (2023)
Ting-Yun Wang, Chiao-Ting Chen, Ju-Chun Huang, Szu-Hao Huang
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Min-You Chen, Chiao-Ting Chen, Szu-Hao Huang
Knowledge distillation for portfolio management using multi-agent reinforcement learning. Adv. Eng. Informatics 57 (2023)
Fei-Fan He, Chiao-Ting Chen, Szu-Hao Huang
A multi-agent virtual market model for generalization in reinforcement learning based trading strategies. Appl. Soft Comput. 134 (2023)
Wun-Ting Yang, Chiao-Ting Chen, Chuan-Yun Sang, Szu-Hao Huang
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Chak-Tong Chan, Szu-Hao Huang, Patrick Puiyui Choy
Poisoning attacks on face authentication systems by using the generative deformation model. Multim. Tools Appl. 82 (19) (2023)
Tsan-Yin Hung, Szu-Hao Huang
Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning. Appl. Intell. 52 (13) (2022)
Pei-Ying Hsu, Chiao-Ting Chen, Chin Chou, Szu-Hao Huang
Explainable mutual fund recommendation system developed based on knowledge graph embeddings. Appl. Intell. 52 (9) (2022)
Zih-Wun Wu, Chiao-Ting Chen, Szu-Hao Huang
Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning. Neural Comput. Appl. 34 (4) (2022)
Hsin-Yi Chen, Szu-Hao Huang
Generating a trading strategy in the financial market from sensitive expert data based on the privacy-preserving generative adversarial imitation network. Neurocomputing 500 (2022)
Yi-Ching Chou, Chiao-Ting Chen, Szu-Hao Huang
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering. Expert Syst. Appl. 192 (2022)
Yu-Cen Lin, Chiao-Ting Chen, Chuan-Yun Sang, Szu-Hao Huang
Multiagent-based deep reinforcement learning for risk-shifting portfolio management. Appl. Soft Comput. 123 (2022)
Szu-Hao Huang, Yu-Hsiang Miao, Yi-Ting Hsiao
Novel Deep Reinforcement Algorithm With Adaptive Sampling Strategy for Continuous Portfolio Optimization. IEEE Access 9 (2021)
Yu-Fu Chen, Szu-Hao Huang
Sentiment-influenced trading system based on multimodal deep reinforcement learning. Appl. Soft Comput. 112 (2021)
Pei-Ying Wang, Chiao-Ting Chen, Jain-Wun Su, Ting-Yun Wang, Szu-Hao Huang
Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism. IEEE Access 9 (2021)
Chia-Hsuan Kuo, Chiao-Ting Chen, Sin-Jing Lin, Szu-Hao Huang
Improving Generalization in Reinforcement Learning-Based Trading by Using a Generative Adversarial Market Model. IEEE Access 9 (2021)
Mei-See Cheong, Mei-Chen Wu, Szu-Hao Huang
Interpretable Stock Anomaly Detection Based on Spatio-Temporal Relation Networks With Genetic Algorithm. IEEE Access 9 (2021)
Yu-Ying Chen, Chiao-Ting Chen, Chuan-Yun Sang, Yao-Chun Yang, Szu-Hao Huang
Adversarial Attacks Against Reinforcement Learning-Based Portfolio Management Strategy. IEEE Access 9 (2021)
Lo-Yao Yeh, Peggy Joy Lu, Szu-Hao Huang, Jiun-Long Huang
SOChain: A Privacy-Preserving DDoS Data Exchange Service Over SOC Consortium Blockchain. IEEE Trans. Engineering Management 67 (4) (2020)
Chin Chou, Jhih-Chen Liu, Chiao-Ting Chen, Szu-Hao Huang
Deep Learning in Model Risk Neutral Distribution for Option Pricing. ICA (2019)
Chiao-Ting Chen, Lin-Kuan Chiang, Yi-Cheng Huang, Szu-Hao Huang
Forecasting Interaction of Exchange Rates Between Fiat Currencies and Cryptocurrencies Based on Deep Relation Networks. ICA (2019)
Pei-Ying Wang, Chun-Shou Liu, Yao-Chun Yang, Szu-Hao Huang
A Robo-Advisor Design using Multiobjective RankNets with Gated Neural Network Structure. ICA (2019)
Chiao-Ting Chen, An-Pin Chen, Szu-Hao Huang
Cloning Strategies from Trading Records using Agent-based Reinforcement Learning Algorithm. ICA (2018)
Pei-Ying Hsu, Chin Chou, Szu-Hao Huang, An-Pin Chen
A Market Making Quotation Strategy Based on Dual Deep Learning Agents for Option Pricing and Bid-Ask Spread Estimation. ICA (2018)
Yu-Ying Chen, Wei-Lun Chen, Szu-Hao Huang
Developing Arbitrage Strategy in High-frequency Pairs Trading with Filterbank CNN Algorithm. ICA (2018)
Jou-Fan Chen, Wei-Lun Chen, Chun-Ping Huang, Szu-Hao Huang, An-Pin Chen
Financial Time-Series Data Analysis Using Deep Convolutional Neural Networks. CCBD (2016)
Chu-Chun Chang, Zhi-Ting Lin, Wai-Wan Koc, Chin Chou, Szu-Hao Huang
Affinity Propagation Clustering for Intelligent Portfolio Diversification and Investment Risk Reduction. CCBD (2016)
Hui-Hsuan Tung, Chiao-Chun Cheng, Yu-Ying Chen, Yu-Fu Chen, Szu-Hao Huang, An-Pin Chen
Binary Classification and Data Analysis for Modeling Calendar Anomalies in Financial Markets. CCBD (2016)
Chiao-Ting Chen, Chih-Yen Hsiao, Jiun-Yi Lin, Shih-Jung Huang, Yang Chang, Szu-Hao Huang
Decision Support System for Real-Time Trading Based on On-Line Learning and Parallel Computing Techniques. CCBD (2016)
Szu-Hao Huang, Ying-Cheng Pan
Automated visual inspection in the semiconductor industry: A survey. Comput. Ind. 66 (2015)
Hsing-Chun Chang, Szu-Hao Huang, Shang-Hong Lai
Using line consistency to estimate 3D indoor Manhattan scene layout from a single image. ICIP (2015)
Chen-Ting Yeh, Tien-Yu Ho, Szu-Hao Huang, Shang-Hong Lai
Simultaneous Stereo Rectification and Distortion Correction with Application to DoF Synthesis. PG (Short Papers) (2015)
Szu-Hao Huang, Ying-Cheng Pan
Learning-based Human Fall Detection using RGB-D cameras. MVA (2013)
Chih-Hsing Chu, Szu-Hao Huang, I-Jan Wang, Cheng-Hung Lo
Evaluating Interactions between Appearance-Related Product Designs and Facial Characteristics. ICSSI (2013)
Szu-Hao Huang, Yu-I Yang, Chih-Hsing Chu
Human-centric design personalization of 3D glasses frame in markerless augmented reality. Adv. Eng. Informatics 26 (1) (2012)
Szu-Hao Huang, Shang-Hong Lai, Shih-Hsien Tai
A learning-based contrarian trading strategy via a dual-classifier model. ACM Trans. Intell. Syst. Technol. 2 (3) (2011)
Tung-Ying Lee, Tsung-Yu Lin, Szu-Hao Huang, Shang-Hong Lai, Shang-Chih Hung
People Localization in a Camera Network Combining Background Subtraction and Scene-Aware Human Detection. MMM (1) (2011)
Szu-Hao Huang, Yi-Hong Chu, Shang-Hong Lai, Carol L. Novak
Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI. IEEE Trans. Medical Imaging 28 (10) (2009)
Szu-Hao Huang, Shang-Hong Lai, Carol L. Novak
A statistical learning appproach to vertebra detection and segmentation from spinal MRI. ISBI (2008)
Hui-Chi Zeng, Szu-Hao Huang, Shang-Hong Lai
Real-Time Video Surveillance Based on Combining Foreground Extraction and Human Detection. MMM (2008)
James G. Reisman, Jan Höppner, Szu-Hao Huang, Li Zhang, Shang-Hong Lai, Benjamin L. Odry, Carol L. Novak
Robust local intervertebral disc alignment for spinal MRI. Medical Imaging: Image Processing (2006)
Chi-Jiunn Wu, Hui-Chi Zeng, Szu-Hao Huang, Shang-Hong Lai, Wen-Hao Wang
Learning-Based Interactive Video Retrieval System. ICME (2006)
Szu-Hao Huang, Qi-Jiunn Wu, Shang-Hong Lai
Improved AdaBoost-based image retrieval with relevance feedback via paired feature learning. Multim. Syst. 12 (1) (2006)
Hsin-Cheng Lin, Szu-Hao Huang, Shang-Hong Lai
Learning-based video fast-pan detection. ITRE (2005)
Szu-Hao Huang, Qi-Jiunn Wu, KaiYeuh Chang, Hsin-Cheang Lin, Shang-Hong Lai, Wen-Hao Wang, Yu-Sheng Tsai, Chia-Lun Chen, Guanrong Chen
Intelligent home video management system. ITRE (2005)
Szu-Hao Huang, Qi-Jiunn Wu, Shang-Hong Lai
Improved AdaBoost-Based Image Retrieval with Relevance Feedback via Paired Feature Learning. CIVR (2005)
Szu-Hao Huang, Shang-Hong Lai
Real-Time Face Detection in Color Video. MMM (2004)
Szu-Hao Huang, Shang-Hong Lai
Detecting Faces from Color Video by Using Paired Wavelet Features. CVPR Workshops (2004)