Detecting Faces from Color Video by Using Paired Wavelet Features. - Szu-Hao Huang; Shang-Hong Lai (CVPR Workshops, 2004)

Real-Time Face Detection in Color Video. - Szu-Hao Huang; Shang-Hong Lai (MMM, 2004)

Intelligent home video management system. - 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 (ITRE, 2005)

Learning-based video fast-pan detection. - Hsin-Cheng Lin; Szu-Hao Huang; Shang-Hong Lai (ITRE, 2005)

Learning-Based Interactive Video Retrieval System. - Chi-Jiunn Wu; Hui-Chi Zeng; Szu-Hao Huang; Shang-Hong Lai; Wen-Hao Wang (ICME, 2006)

Robust local intervertebral disc alignment for spinal MRI. - James G. Reisman; Jan Höppner; Szu-Hao Huang; Li Zhang 024; Shang-Hong Lai; Benjamin L. Odry; Carol L. Novak (Image Processing, 2006)

Improved AdaBoost-based image retrieval with relevance feedback via paired feature learning. - Szu-Hao Huang; Qi-Jiunn Wu; Shang-Hong Lai (Multim. Syst., 2006)

A statistical learning appproach to vertebra detection and segmentation from spinal MRI. - Szu-Hao Huang; Shang-Hong Lai; Carol L. Novak (ISBI, 2008)

Real-Time Video Surveillance Based on Combining Foreground Extraction and Human Detection. - Hui-Chi Zeng; Szu-Hao Huang; Shang-Hong Lai (MMM, 2008)

Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI. - Szu-Hao Huang; Yi-Hong Chu; Shang-Hong Lai; Carol L. Novak (IEEE Trans. Medical Imaging, 2009)

People Localization in a Camera Network Combining Background Subtraction and Scene-Aware Human Detection. - Tung-Ying Lee; Tsung-Yu Lin; Szu-Hao Huang; Shang-Hong Lai; Shang-Chih Hung (MMM (1), 2011)

A learning-based contrarian trading strategy via a dual-classifier model. - Szu-Hao Huang; Shang-Hong Lai; Shih-Hsien Tai (ACM Trans. Intell. Syst. Technol., 2011)

Human-centric design personalization of 3D glasses frame in markerless augmented reality. - Szu-Hao Huang; Yu-I Yang; Chih-Hsing Chu (Adv. Eng. Informatics, 2012)

Evaluating Interactions between Appearance-Related Product Designs and Facial Characteristics. - Chih-Hsing Chu; Szu-Hao Huang; I-Jan Wang; Cheng-Hung Lo (ICSSI, 2013)

Learning-based Human Fall Detection using RGB-D cameras. - Szu-Hao Huang; Ying-Cheng Pan (MVA, 2013)

Using line consistency to estimate 3D indoor Manhattan scene layout from a single image. - Hsing-Chun Chang; Szu-Hao Huang; Shang-Hong Lai (ICIP, 2015)

Simultaneous Stereo Rectification and Distortion Correction with Application to DoF Synthesis. - Chen-Ting Yeh; Tien-Yu Ho; Szu-Hao Huang; Shang-Hong Lai (PG (Short Papers), 2015)

Automated visual inspection in the semiconductor industry: A survey. - Szu-Hao Huang; Ying-Cheng Pan (Comput. Ind., 2015)

Affinity Propagation Clustering for Intelligent Portfolio Diversification and Investment Risk Reduction. - Chu-Chun Chang; Zhi-Ting Lin; Wai-Wan Koc; Chin Chou; Szu-Hao Huang (CCBD, 2016)

Financial Time-Series Data Analysis Using Deep Convolutional Neural Networks. - Jou-Fan Chen; Wei-Lun Chen; Chun-Ping Huang; Szu-Hao Huang; An-Pin Chen (CCBD, 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 (CCBD, 2016)

Binary Classification and Data Analysis for Modeling Calendar Anomalies in Financial Markets. - Hui-Hsuan Tung; Chiao-Chun Cheng; Yu-Ying Chen; Yu-Fu Chen; Szu-Hao Huang; An-Pin Chen (CCBD, 2016)

Cloning Strategies from Trading Records using Agent-based Reinforcement Learning Algorithm. - Chiao-Ting Chen; An-Pin Chen; Szu-Hao Huang (ICA, 2018)

Developing Arbitrage Strategy in High-frequency Pairs Trading with Filterbank CNN Algorithm. - Yu-Ying Chen; Wei-Lun Chen; Szu-Hao Huang (ICA, 2018)

A Market Making Quotation Strategy Based on Dual Deep Learning Agents for Option Pricing and Bid-Ask Spread Estimation. - Pei-Ying Hsu; Chin Chou; Szu-Hao Huang; An-Pin Chen (ICA, 2018)

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 (ICA, 2019)

Deep Learning in Model Risk Neutral Distribution for Option Pricing. - Chin Chou; Jhih-Chen Liu; Chiao-Ting Chen; Szu-Hao Huang (ICA, 2019)

A Robo-Advisor Design using Multiobjective RankNets with Gated Neural Network Structure. - Pei-Ying Wang; Chun-Shou Liu; Yao-Chun Yang; Szu-Hao Huang (ICA, 2019)

SOChain: A Privacy-Preserving DDoS Data Exchange Service Over SOC Consortium Blockchain. - Lo-Yao Yeh; Peggy Joy Lu; Szu-Hao Huang; Jiun-Long Huang (IEEE Trans. Engineering Management, 2020)

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)

Interpretable Stock Anomaly Detection Based on Spatio-Temporal Relation Networks With Genetic Algorithm. - Mei-See Cheong; Mei-Chen Wu; Szu-Hao Huang (IEEE Access, 2021)

Novel Deep Reinforcement Algorithm With Adaptive Sampling Strategy for Continuous Portfolio Optimization. - Szu-Hao Huang; Yu-Hsiang Miao; Yi-Ting Hsiao (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)

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)

Sentiment-influenced trading system based on multimodal deep reinforcement learning. - Yu-Fu Chen; Szu-Hao Huang (Appl. Soft Comput., 2021)

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)

Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning. - Tsan-Yin Hung; Szu-Hao Huang (Appl. Intell., 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)

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)

Generating a trading strategy in the financial market from sensitive expert data based on the privacy-preserving generative adversarial imitation network. - Hsin-Yi Chen; Szu-Hao Huang (Neurocomputing, 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)

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)

Poisoning attacks on face authentication systems by using the generative deformation model. - Chak-Tong Chan; Szu-Hao Huang; Patrick Puiyui Choy (Multim. Tools Appl., 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)

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)

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, 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., 2023)

Interactively transforming chinese ink paintings into realistic images using a border enhance generative adversarial network. - Chieh-Yu Chung; Szu-Hao Huang (Multim. Tools Appl., 2023)

Knowledge distillation for portfolio management using multi-agent reinforcement learning. - Min-You Chen; Chiao-Ting Chen; Szu-Hao Huang (Adv. Eng. Informatics, 2023)

Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs. - Mei-Chen Wu; Szu-Hao Huang; An-Pin Chen (Appl. Intell., 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., 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., 2024)

Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation. - Chi-Wei Hsu; Chiao-Ting Chen; Szu-Hao Huang (ACM Trans. Knowl. Discov. Data, 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., 2024)

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)

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)

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)

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., 2025)