RIVA : A Real-Time Information Visualization and analysis platform for social media sentiment trend. - Yong-Ting Wu; He-Yen Hsieh; Xanno Kharis Sigalingging; Kuan-Wu Su; Jenq-Shiou Leu (ICUMT, 2017)

Prediction of Station Level Demand in a Bike Sharing System Using Recurrent Neural Networks. - Po-Chuan Chen; He-Yen Hsieh; Xanno Kharis Sigalingging; Yan-Ru Chen; Jenq-Shiou Leu (VTC Spring, 2017)

Towards the Implementation of Recurrent Neural Network Schemes for WiFi Fingerprint-Based Indoor Positioning. - He-Yen Hsieh; Setya Widyawan Prakosa; Jenq-Shiou Leu (VTC Fall, 2018)

Using Long-Short-Term Memory Based Convolutional Neural Networks for Network Intrusion Detection. - Chia-Ming Hsu; He-Yen Hsieh; Setya Widyawan Prakosa; Muhammad Zulfan Azhari; Jenq-Shiou Leu (WICON, 2018)

Predicting Solar Performance Ratio Based on Encoder-Decoder Neural Network Model. - Chih-Feng Yen; He-Yen Hsieh; Kuan-Wu Su; Jenq-Shiou Leu (ICUMT, 2019)

Temporal Action Proposal Generation Via Deep Feature Enhancement. - He-Yen Hsieh; Ding-Jie Chen; Tyng-Luh Liu (ICIP, 2020)

Progressive Contextual Excitation for Smart Farming Application. - Chia-Hung Bai; Setya Widyawan Prakosa; He-Yen Hsieh; Jenq-Shiou Leu; Wen-Hsien Fang (CAIP (1), 2021)

Adaptive Image Transformer for One-Shot Object Detection. - Ding-Jie Chen; He-Yen Hsieh; Tyng-Luh Liu (CVPR, 2021)

Referring Image Segmentation via Language-Driven Attention. - Ding-Jie Chen; He-Yen Hsieh; Tyng-Luh Liu (ICRA, 2021)

Robust Network Intrusion Detection Scheme Using Long-Short Term Memory Based Convolutional Neural Networks. - Chia-Ming Hsu; Muhammad Zulfan Azhari; He-Yen Hsieh; Setya Widyawan Prakosa; Jenq-Shiou Leu (Mob. Networks Appl., 2021)

Implementing a real-time image captioning service for scene identification using embedded system. - He-Yen Hsieh; Sheng-An Huang; Jenq-Shiou Leu (Multim. Tools Appl., 2021)

Correction to: Implementing a real-time image captioning service for scene identification using embedded system. - He-Yen Hsieh; Sheng-An Huang; Jenq-Shiou Leu (Multim. Tools Appl., 2021)

Self-supervised Sparse Representation for Video Anomaly Detection. - Jhih-Ciang Wu; He-Yen Hsieh; Ding-Jie Chen; Chiou-Shann Fuh; Tyng-Luh Liu (ECCV (13), 2022)

Contextual Proposal Network for Action Localization. - He-Yen Hsieh; Ding-Jie Chen; Tyng-Luh Liu (WACV, 2022)

Implementing a Compression Technique on the Progressive Contextual Excitation Network for Smart Farming Applications. - Setya Widyawan Prakosa; Jenq-Shiou Leu; He-Yen Hsieh; Cries Avian; Chia-Hung Bai; Stanislav Vítek (Sensors, 2022)

One-Shot Action Detection via Attention Zooming In. - He-Yen Hsieh; Ding-Jie Chen; Cheng-Wei Chang; Tyng-Luh Liu (ICASSP, 2023)

Aggregating Bilateral Attention for Few-Shot Instance Localization. - He-Yen Hsieh; Ding-Jie Chen; Cheng-Wei Chang; Tyng-Luh Liu (WACV, 2023)

SCANet: Implementation of Selective Context Adaptation Network in Smart Farming Applications. - Xanno Kharis Sigalingging; Setya Widyawan Prakosa; Jenq-Shiou Leu; He-Yen Hsieh; Cries Avian; Muhamad Faisal (Sensors, 2023)

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. - Chun-Hsiao Yeh; Ta Ying Cheng; He-Yen Hsieh; Chuan-En Lin; Yi Ma 001; Andrew Markham; Niki Trigoni; Hsiang-Tsung Kung 001; Yubei Chen (CoRR, 2024)

GazeGen: Gaze-Driven User Interaction for Visual Content Generation. - He-Yen Hsieh; Ziyun Li; Sai Qian Zhang; Wei-Te Mark Ting; Kao-Den Chang; Barbara De Salvo; Chiao Liu; H. T. Kung 001 (CoRR, 2024)

FrameVoting: A Robust and Fast Method of Using Gaze Estimations to Identify Objects of Interest. - Kao-Den Chang; He-Yen Hsieh; H. T. Kung 001; Ziyun Li; Sai Qian Zhang (ISCAS, 2025)