Extracting driver's facial features during driving. - Jung Ming Wang; Han-Ping Chou; Chih-Fan Hsu; Sei-Wang Chen; Chiou-Shann Fuh (ITSC, 2011)

Generation of Environmental Representation of a Large Indoor Parking Lot. - Jung Ming Wang; Chih-Fan Hsu; Sei-Wang Chen; Chiou-Shann Fuh (ICONIP (2), 2012)

Real-time salient object detection. - Chia-Ju Lu; Chih-Fan Hsu; Mei-Chen Yeh (ACM Multimedia, 2013)

Screencast in the Wild: Performance and Limitations. - Chih-Fan Hsu; De-Yu Chen; Chun-Ying Huang; Cheng-Hsin Hsu; Kuan-Ta Chen (ACM Multimedia, 2014)

Fast salient object detection through efficient subwindow search. - Mei-Chen Yeh; Chih-Fan Hsu; Chia-Ju Lu (Pattern Recognit. Lett., 2014)

Smart Beholder: An Open-Source Smart Lens for Mobile Photography. - Chun-Ying Huang; Chih-Fan Hsu; Tsung-Han Tsai 005; Ching-Ling Fan; Cheng-Hsin Hsu; Kuan-Ta Chen (ACM Multimedia, 2015)

Screencast dissected: performance measurements and design considerations. - Chih-Fan Hsu; Tsung-Han Tsai 005; Chun-Ying Huang; Cheng-Hsin Hsu; Kuan-Ta Chen (MMSys, 2015)

Enabling Adaptive Cloud Gaming in an Open-Source Cloud Gaming Platform. - Hua-Jun Hong; Chih-Fan Hsu; Tsung-Han Tsai 005; Chun-Ying Huang; Kuan-Ta Chen; Cheng-Hsin Hsu (IEEE Trans. Circuits Syst. Video Technol., 2015)

Performance Measurements of Virtual Reality Systems: Quantifying the Timing and Positioning Accuracy. - Chun-Ming Chang; Cheng-Hsin Hsu; Chih-Fan Hsu; Kuan-Ta Chen (ACM Multimedia, 2016)

Smart Beholder: An Extensible Smart Lens Platform. - Chun-Ying Huang; Ching-Ling Fan; Chih-Fan Hsu; Hsin-Yu Chang; Tsung-Han Tsai 005; Kuan-Ta Chen; Cheng-Hsin Hsu (ACM Multimedia, 2016)

Toward an Adaptive Screencast Platform: Measurement and Optimization. - Chih-Fan Hsu; Ching-Ling Fan; Tsung-Han Tsai 005; Chun-Ying Huang; Cheng-Hsin Hsu; Kuan-Ta Chen (ACM Trans. Multim. Comput. Commun. Appl., 2016)

Effects of Design Factors of Game-Based English Vocabulary Learning APP on Learning Performance, Sustained Attention, Emotional State, and Memory Retention. - Chih-Fan Hsu; Chih-Ming Chen 001; Ding Cao (IIAI-AAI, 2017)

Is Foveated Rendering Perceivable in Virtual Reality?: Exploring the Efficiency and Consistency of Quality Assessment Methods. - Chih-Fan Hsu; Anthony Chen; Cheng-Hsin Hsu; Chun-Ying Huang; Chin-Laung Lei; Kuan-Ta Chen (ACM Multimedia, 2017)

Realizing the real-time gaze redirection system with convolutional neural network. - Chih-Fan Hsu; Yu-Cheng Chen; Yu-Shuen Wang; Chin-Laung Lei; Kuan-Ta Chen (MMSys, 2018)

Active Learning for Crowdsourced QoE Modeling. - Haw-Shiuan Chang; Chih-Fan Hsu; Tobias Hoßfeld; Kuan-Ta Chen (IEEE Trans. Multim., 2018)

Look at Me! Correcting Eye Gaze in Live Video Communication. - Chih-Fan Hsu; Yu-Shuen Wang; Chin-Laung Lei; Kuan-Ta Chen (ACM Trans. Multim. Comput. Commun. Appl., 2019)

PCC arena: a benchmark platform for point cloud compression algorithms. - Cheng-Hao Wu; Chih-Fan Hsu; Ting-Chun Kuo; Carsten Griwodz; Michael Riegler 001; Géraldine Morin; Cheng-Hsin Hsu (MMVE@MMSys, 2020)

A Detailed Look At CNN-based Approaches In Facial Landmark Detection. - Chih-Fan Hsu; Chia-Ching Lin; Ting-Yang Hung; Chin-Laung Lei; Kuan-Ta Chen (CoRR, 2020)

Measuring Objective Visual Quality of Real-time Communication Systems in the Wild. - Chih-Fan Hsu; Chun-Ying Huang; Xin Liu 002 (BigMM, 2021)

Towards a Utopia of Dataset Sharing: A Case Study on Machine Learning-based Malware Detection Algorithms. - Ping-Jui Chuang; Chih-Fan Hsu; Yung-Tien Chu; Szu-Chun Huang; Chun-Ying Huang (AsiaCCS, 2022)

A Robust Collaborative Learning Framework Using Data Digests and Synonyms to Represent Absent Clients. - Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (MIPR, 2022)

FedTrust: Towards Building Secure Robust and Trustworthy Moderators for Federated Learning. - Chih-Fan Hsu; Jing-Lun Huang; Feng-Hao Liu; Ming-Ching Chang; Wei-Chao Chen (MIPR, 2022)

Configuration through Optimization for In-Memory Computing Hardware and Simulators. - Ke-Han Li; Chih-Fan Hsu; Yu-Sheng Lin; Shao-Yi Chien; Wei-Chao Chen (SiPS, 2022)

FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients. - Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (CoRR, 2022)

Development and application of a digital humanities research platform for biographies of Malaysian personalities. - Chih-Ming Chen 001; Tek-Soon Ling; Chung Chang; Chih-Fan Hsu; Chia-Pei Lim (Electron. Libr., 2022)

Measuring Objective Visual Quality of Real-Time Communication Systems in the Wild. - Chih-Fan Hsu; Yu-Lun Chang; Chun-Ying Huang; Xin Liu 002 (Int. J. Semantic Comput., 2022)

Optimizing Immersive Video Coding Configurations Using Deep Learning: A Case Study on TMIV. - Chih-Fan Hsu; Tse-Hou Hung; Cheng-Hsin Hsu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework. - Tzu-Li Liu; Yu-Te Ku; Ming-Chien Ho; Feng-Hao Liu; Ming-Ching Chang; Chih-Fan Hsu; Wei-Chao Chen; Shih-Hao Hung (ESORICS Workshops (2), 2023)

Region-aware Photo Assurance System for Image Authentication. - Ke-Han Li; Chih-Fan Hsu; Ming-Ching Chang; Feng-Hao Liu; Shao-Yi Chien; Wei-Chao Chen (MIPR, 2023)

Quantitative Comparison of Point Cloud Compression Algorithms With PCC Arena. - Cheng-Hao Wu; Chih-Fan Hsu; Tzu-Kuan Hung; Carsten Griwodz; Wei Tsang Ooi; Cheng-Hsin Hsu (IEEE Trans. Multim., 2023)

Invited Paper: Efficient Design of FHEW/TFHE Bootstrapping Implementation with Scalable Parameters. - Ming-Chien Ho; Yu-Te Ku; Yu Xiao; Feng-Hao Liu; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; Wei-Chao Chen (ICCAD, 2024)

Learning With Instance-Dependent Noisy Labels By Anchor Hallucination And Hard Sample Label Correction. - Po-Hsuan Huang; Chia-Ching Lin; Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (ICIP, 2024)

MAFS: Modality-Aware Federated Semi-Supervised Learning with Selective Data Sharing Specified by Individual Clients. - Yi-Chen Li 005; Chih-Fan Hsu; Jian-Kai Wang; Chung-Chi Tsai; Cheng-Hsin Hsu (MMAsia, 2024)

A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective. - Jeng-Lin Li; Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (CoRR, 2024)

Federated Learning Using Multi-Modal Sensors with Heterogeneous Privacy Sensitivity Levels. - Chih-Fan Hsu; Yi-Chen Li 005; Chung-Chi Tsai; Jian-Kai Wang; Cheng-Hsin Hsu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

A Comprehensive Evaluation of Encrypted DNN Inference Methods. - Yu-Te Ku; Ming-Chien Ho; Yu Xiao; Feng-Hao Liu; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; Wei-Chao Chen (ISCAS, 2025)

Optimizing Encrypted Neural Networks: Model Design, Quantization and Fine-Tuning Using FHEW/TFHE. - Yu-Te Ku; Feng-Hao Liu; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; I-Ping Tu; Wei-Chao Chen (Proc. Priv. Enhancing Technol., 2025)

GPU Acceleration for FHEW/TFHE Bootstrapping. - Yu Xiao; Feng-Hao Liu; Yu-Te Ku; Ming-Chien Ho; Chih-Fan Hsu; Ming-Ching Chang; Shih-Hao Hung; Wei-Chao Chen (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2025)

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation. - Jyun-Ze Tang; Chih-Fan Hsu; Jeng-Lin Li; Ming-Ching Chang; Wei-Chao Chen (CoRR, 2025)

Continual Learning with Synthetic Boundary Experience Blending. - Chih-Fan Hsu; Ming-Ching Chang; Wei-Chao Chen (CoRR, 2025)