Polygons and Numerical Ranges. - Pei Yuan Wu (Am. Math. Mon., 2000)

Numerical ranges as circular discs. - Pei Yuan Wu (Appl. Math. Lett., 2011)

On efficient learning and classification kernel methods. - Sun-Yuan Kung; Pei Yuan Wu (ICASSP, 2012)

Perturbation regulated kernel regressors for supervised machine learning. - Sun-Yuan Kung; Pei Yuan Wu (MLSP, 2012)

Capturing Cognitive Fingerprints from Keystroke Dynamics. - J. Morris Chang; Chi-Chen Fang; Kuan-Hsing Ho; Norene Kelly; Pei Yuan Wu; Yixiao Ding; Chris Chu; Stephen B. Gilbert; Ahmed E. Kamal 001; Sun-Yuan Kung (IT Prof., 2013)

Using density invariant graph Laplacian to resolve unobservable parameters for three-dimensional optical bio-imaging. - Chien-Hung Lu; Pei Yuan Wu (ICASSP, 2014)

Cost-effective kernel ridge regression implementation for keystroke-based active authentication system. - Pei Yuan Wu; Chi-Chen Fang; J. Morris Chang; Stephen B. Gilbert; Sun-Yuan Kung (ICASSP, 2014)

Privacy-preserving PCA on horizontally-partitioned data. - Mohammad Al-Rubaie; Pei Yuan Wu; J. Morris Chang; Sun-Yuan Kung (DSC, 2017)

Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System. - Pei-Yuan Wu; Chi-Chen Fang; J. Morris Chang; Sun-Yuan Kung (IEEE Trans. Cybern., 2017)

Collaborative PCA/DCA Learning Methods for Compressive Privacy. - Sun-Yuan Kung; Thee Chanyaswad; J. Morris Chang; Pei Yuan Wu (ACM Trans. Embed. Comput. Syst., 2017)

NTIRE 2020 Challenge on NonHomogeneous Dehazing. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Jing Liu 031; Haiyan Wu; Yuan Xie 006; Yanyun Qu; Lizhuang Ma; Ziling Huang; Qili Deng; Ju-Chin Chao; et al. (CVPR Workshops, 2020)

AutoGAN-based dimension reduction for privacy preservation. - Hung Nguyen 008; Di Zhuang; Pei-Yuan Wu; J. Morris Chang (Neurocomputing, 2020)

Compressive Privacy Generative Adversarial Network. - Bo-Wei Tseng; Pei-Yuan Wu (IEEE Trans. Inf. Forensics Secur., 2020)

Physical Tampering Detection Using Single COTS Wi-Fi Endpoint. - Poh Yuen Chan; Alexander I-Chi Lai; Pei-Yuan Wu; Ruey-Beei Wu (Sensors, 2021)

CTGAN : Cloud Transformer Generative Adversarial Network. - Gi-Luen Huang; Pei-Yuan Wu (ICIP, 2022)

Fusion-Based Smartphone Positioning Using Unsupervised Calibration of Crowdsourced Wi-Fi FTM. - Hao-Wei Chan; Pei-Yuan Wu; Alexander I-Chi Lai; Ruey-Beei Wu (IEEE Access, 2022)

Optimization and Evaluation of Multidetector Deep Neural Network for High-Accuracy Wi-Fi Fingerprint Positioning. - Chung-Yuan Chen; Alexander I-Chi Lai; Pei-Yuan Wu; Ruey-Beei Wu (IEEE Internet Things J., 2022)

Sample Complexity of Kernel-Based Q-Learning. - Sing-Yuan Yeh; Fu-Chieh Chang 001; Chang-Wei Yueh; Pei-Yuan Wu; Alberto Bernacchia; Sattar Vakili (AISTATS, 2023)

Improved Photometric Stereo through Efficient and Differentiable Shadow Estimation. - Po-Hung Yeh; Pei-Yuan Wu; Jun-Cheng Chen (BMVC, 2023)

SepMM: A General Matrix Multiplication Optimization Approach for Privacy-Preserving Machine Learning. - Tung-Lin Tsai; Pei-Yuan Wu (DSC, 2023)

Viewing Bias Matters in 360° Videos Visual Saliency Prediction. - Peng-Wen Chen 001; Tsung-Shan Yang; Gi-Luen Huang; Chia-Wen Huang; Yu-Chieh Chao; Chien-Hung Lu; Pei-Yuan Wu (IEEE Access, 2023)

Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques. - Tsung-Hsien Lin; Ying-Shuo Lee; Fu-Chieh Chang 001; J. Morris Chang; Pei-Yuan Wu (IEEE Trans. Inf. Forensics Secur., 2023)

SecureTVM: A TVM-based Compiler Framework for Selective Privacy-preserving Neural Inference. - Po-Hsuan Huang; Chia-Heng Tu; Shen-Ming Chung; Pei-Yuan Wu; Tung-Lin Tsai; Yi-An Lin; Chun-Yi Dai; Tzu-Yi Liao (ACM Trans. Design Autom. Electr. Syst., 2023)

3D Baseball Pitcher Pose Reconstruction Using Joint-Wise Volumetric Triangulation and Baseball Customized Filter System. - Yun-Wei Chiu; Kuei-Ting Huang; Yuh-Renn Wu; Jyh-How Huang; Wei-Li Hsu; Pei-Yuan Wu (IEEE Access, 2024)

CAPM: Fast and Robust Verification on Maxpool-based CNN via Dual Network. - Jia-Hau Bai; Chi-Ting Liu; Yu Wang; Fu-Chieh Chang 001; Pei-Yuan Wu (CoRR, 2024)

RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner. - Fu-Chieh Chang 001; Yu-Ting Lee; Hui-Ying Shih; Pei-Yuan Wu (CoRR, 2024)

Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures. - Fu-Chieh Chang 001; Pei-Yuan Wu (CoRR, 2024)

Federated Learning for Distribution Skewed Data Using Sample Weights. - Hung Nguyen 008; Pei Yuan Wu; J. Morris Chang (IEEE Trans. Artif. Intell., 2024)

A Hierarchical Slice Attention Network for Appendicitis Classification in 3D CT Scans. - Chia-Wen Huang; Haw Hwai; Chien-Chang Lee; Pei-Yuan Wu (ISBI, 2025)

Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning. - Yen-Ru Lai; Fu-Chieh Chang 001; Pei-Yuan Wu (Trans. Mach. Learn. Res., 2025)

Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing. - Wei-Jyun Hong; Chia-Yu Shen; Pei-Yuan Wu (J. Intell. Manuf., 2025)

Chain-of-Thought Prompting for Out-of-Distribution Samples: A Latent-Variable Study. - Yu Wang; Fu-Chieh Chang 001; Pei-Yuan Wu (CoRR, 2025)

An Explanation of Intrinsic Self-Correction via Linear Representations and Latent Concepts. - Yu-Ting Lee; Hui-Ying Shih; Fu-Chieh Chang 001; Pei-Yuan Wu (CoRR, 2025)