Journal Articles and Book Chapters
1 / 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, 12, 117110-117125, Aug. 2024
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2 / Federated Learning for distribution skewed data using sample weights
Hung Nguyen, Pei-Yuan Wu, J. Morris Chang, IEEE Transactions on Artificial Intelligence, vol. 5, no. 6, 2615-2626, Jun. 2024
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3 / 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, Journal of Intelligent Manufacturing, Nov. 2023
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4 / SecureTVM: A TVM-Based Compiler Framework for Selective Privacy-Preserving Neural Inference
PO-HSUAN HUANG et al., ACM Transactions on Design Automation of Electronic Systems, Jan. 2023
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5 / Viewing Bias Matters in 360° Videos Visual Saliency Prediction
Peng-Wen Chen et al., IEEE Access, Apr. 2023
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6 / Protecting Sensitive Attributes by Adversarial Training through Class-Overlapping Techniques
Tsung-Hsien Lin, Ying-Shuo Lee, Fu-Chieh Chang, J. Morris Chang, Pei-Yuan Wu, IEEE Transactions on Information Forensics and Security, Jan. 2023
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7 / 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, Sept. 2022
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8 / Optimization and Evaluation of Multi-Detector 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 of Things, Jan. 2022
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9 / Physical Tampering Detection Using Single COTS Wi-Fi Endpoint
Poh Yuen Chan, Alexander I-Chi Lai, Pei-Yuan Wu, Ruey-Beei Wu, Sensors, Aug. 2021
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10 / AutoGAN-Based Dimension Reduction for Privacy Preservation
Hung Nguyen, Di Zhuang, Pei-Yuan Wu, Morris Chang, Neurocomputing, Apr. 2020
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11 / Compressive Privacy Generative Adversarial Network
B. Tseng and P. Wu, IEEE Transactions on Information Forensics and Security, Jan. 2020
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12 / Collaborative PCA/DCA Learning Methods for Compressive Privacy
S. Y. Kung, Thee Chanyaswad, J. Morris Chang, and P. Y. Wu, ACM Transactions on Embedded Computing Systems, Jul. 2017
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13 / Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System
P. Y. Wu, C. C. Fang, J. M. Chang, and S. Y. Kung, IEEE Transactions on Cybernetics, Aug. 2016
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14 / Capturing Cognitive Fingerprints from Keystroke Dynamics
J. M. Chang, C. C. Fang, K. H. Ho, N. Kelly, P. Y. Wu, Y. Ding, C. Chu, S. Gilbert, A. E. Kamal, S. Y. Kung, IT Professional, Jul. 2013
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Conference and Proceeding Papers
1 / Thermal and Energy Management with Fan Control Through Offline Meta-Reinforcement Learning
Shao-Yu Yen, Yen Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu, NeurIPS 2024 Workshop OWA, Vancouver, Canada, Dec. 2024
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2 / ECO: Efficient Computational Optimization for Exact Machine Unlearning in Deep Neural Networks
Yu-Ting Huang, Pei-Yuan Wu, Chuan-Ju Wang, WANT@ICML 2024, Vienna, Austria, Jul. 2024
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3 / Improved Photometric Stereo through Efficient and Differentiable Shadow Estimation
Po-Hung Yeh, Pei-Yuan Wu, Jun-Cheng Chen, BMVC 2023, Aberdeen, Scotland, Nov. 2023
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4 / SepMM : A General Matrix Multiplication Optimization Approach for Privacy-Preserving Machine Learning
Tung-Lin Tsai, Pei-Yuan Wu, IEEE Conference on Dependable and Secure Computing (IEEE DSC), Tampa, FL USA, Nov. 2023
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5 / AMPose: Alternately Mixed Global-Local Attention Model for 3D Human Pose Estimation
Hongxin Lin; Yunwei Chiu; Peiyuan Wu, ICASSP, Rhodes Island, Greece, Jun. 2023
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6 / Sample Complexity of Kernel-Based Q-Learning
SY Yeh, FC Chang, CW Yueh, PY Wu, A Bernacchia, S Vakili, AISTATS, Valencia, Apr. 2023
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7 / Gradient Descent: Robustness to Adversarial Corruption
Fu-Chieh Chang et al., NeurIPS Workshop: Optimization for Machine Learning, Dec. 2022
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8 / CTGAN: Cloud Transformer Generative Adversarial Network
Gi-Luen Huang, Pei-Yuan Wu, IEEE ICIP, Bordeaux, France, Oct. 2022
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9 / NTIRE 2020 Challenge on NonHomogeneous Dehazing
C. O. Ancuti et al., IEEE/CVF CVPRW, Seattle, WA, USA, Jun. 2020
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10 / Privacy-preserving PCA on horizontally-partitioned data
M. Al-Rubaie, P. Y. Wu, J. M. Chang and S. Y. Kung, IEEE DSC, Taipei, Taiwan, Aug. 2017
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11 / A Partial Cosine Kernel Approach to Incomplete Data Analysis
S. Y. Kung and P. Y. Wu, ABDA, Las Vegas, Jul. 2014
12 / Cost-Effective Kernel Ridge Regression for Keystroke-Based Active Authentication System
P. Y. Wu, C. C. Fang, J. M. Chang, S. Gilbert, and S. Y. Kung, ICASSP, Florence, May 2014
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13 / Using Density Invariant Graph Laplacian to Resolve Unobservable Parameters for Three-Dimensional Optical Bio-Imaging
C. H. Lu and P. Y. Wu, ICASSP, Florence, May 2014
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14 / Perturbation Regulated Kernel Regressors for Supervised Machine Learning
S. Y. Kung and P. Y. Wu, MLSP, Santander, Sept. 2012
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15 / On Efficient Learning and Classification Kernel Methods
S. Y. Kung and P. Y. Wu, ICASSP, Kyoto, Mar. 2012
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Patents
1 / Photolithography tool and method thereof
Chia-Feng Liao, Chun-Hsien Lin, Pei-Yi Su, Yi-Ming Dai, Chung-Hsing Lee, Chien-Ko Liao, Chun-Yung Chang, Nan-Jung Chen, Pei-Yuan Wu, Hsien-Mao Huang, “Photolithography tool and method thereof,” US20170123328A1, Jan. 2017
