Publications of Hau-Tieng Wu

Papers Published

  1. Chew, J; Hirn, M; Krishnaswamy, S; Needell, D; Perlmutter, M; Steach, H; Viswanath, S; Wu, HT, Geometric scattering on measure spaces, Applied and Computational Harmonic Analysis, vol. 70 (May, 2024)
  2. Chung, YM; Huang, WK; Wu, HT, Topological data analysis assisted automated sleep stage scoring using airflow signals, Biomedical Signal Processing and Control, vol. 89 (March, 2024), pp. 105760-105760, Elsevier BV
  3. Liu, T-C; Chen, Y-C; Chen, P-L; Tu, P-H; Yeh, C-H; Yeap, M-C; Wu, Y-H; Chen, C-C; Wu, H-T, Removal of electrical stimulus artifact in local field potential recorded from subthalamic nucleus by using manifold denoising., Journal of neuroscience methods, vol. 403 (March, 2024), pp. 110038
  4. Ding, X; Wu, HT, How do kernel-based sensor fusion algorithms behave under high-dimensional noise?, Information and Inference, vol. 13 no. 1 (March, 2024), Oxford University Press (OUP)
  5. Chiu, N-T; Chuang, B; Anakmeteeprugsa, S; Shelley, KH; Alian, AA; Wu, H-T, Signal quality assessment of peripheral venous pressure., Journal of clinical monitoring and computing, vol. 38 no. 1 (February, 2024), pp. 101-112
  6. Shnitzer, T; Wu, HT; Talmon, R, Spatiotemporal analysis using Riemannian composition of diffusion operators, Applied and Computational Harmonic Analysis, vol. 68 (January, 2024)
  7. Wang, S-C; Ting, C-K; Chen, C-Y; Liu, C; Lin, N-C; Loong, C-C; Wu, H-T; Lin, Y-T, Arterial blood pressure waveform in liver transplant surgery possesses variability of morphology reflecting recipients' acuity and predicting short term outcomes., Journal of clinical monitoring and computing, vol. 37 no. 6 (December, 2023), pp. 1521-1531
  8. Eid, A-M; Elgamal, M; Gonzalez-Fiol, A; Shelley, KH; Wu, H-T; Alian, AA, Using the ear photoplethysmographic waveform as an early indicator of central hypovolemia in healthy volunteers utilizing LBNP induced hypovolemia model., Physiological measurement, vol. 44 no. 5 (July, 2023)
  9. Wu, H-T; Harezlak, J, Application of de-shape synchrosqueezing to estimate gait cadence from a single-sensor accelerometer placed in different body locations., Physiological measurement, vol. 44 no. 5 (May, 2023)
  10. Liu, GR; Sheu, YC; Wu, HT, CENTRAL AND NONCENTRAL LIMIT THEOREMS ARISING FROM THE SCATTERING TRANSFORM AND ITS NEURAL ACTIVATION GENERALIZATION, SIAM Journal on Mathematical Analysis, vol. 55 no. 2 (April, 2023), pp. 1170-1213
  11. Wang, YG; Womersley, RS; Wu, HT; Yu, WH, Numerical computation of triangular complex spherical designs with small mesh ratio, Journal of Computational and Applied Mathematics, vol. 421 (March, 2023)
  12. Ding, X; Wu, HT, Impact of Signal-to-Noise Ratio and Bandwidth on Graph Laplacian Spectrum From High-Dimensional Noisy Point Cloud, IEEE Transactions on Information Theory, vol. 69 no. 3 (March, 2023), pp. 1899-1931, Institute of Electrical and Electronics Engineers (IEEE)
  13. Steinerberger, S; Wu, HT, Fundamental component enhancement via adaptive nonlinear activation functions, Applied and Computational Harmonic Analysis, vol. 63 (March, 2023), pp. 135-143
  14. Alian, A; Shelley, K; Wu, H-T, Amplitude and phase measurements from harmonic analysis may lead to new physiologic insights: lower body negative pressure photoplethysmographic waveforms as an example., Journal of clinical monitoring and computing, vol. 37 no. 1 (February, 2023), pp. 127-137
  15. Chen, Z; Wu, HT, Disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application, Applied and Computational Harmonic Analysis, vol. 62 (January, 2023), pp. 84-122
  16. Colominas, MA; Wu, HT, An Iterative Warping and Clustering Algorithm to Estimate Multiple Wave-Shape Functions From a Nonstationary Oscillatory Signal, IEEE Transactions on Signal Processing, vol. 71 (January, 2023), pp. 701-712, Institute of Electrical and Electronics Engineers (IEEE)
  17. Chen, HY; Wu, HT; Chen, CY, Quality Aware Sleep Stage Classification over RIP Signals with Persistence Diagrams, 2023 IEEE 19th International Conference on Body Sensor Networks, BSN 2023 - Proceedings (January, 2023), ISBN 9798350338416
  18. Young, AL; van den Boom, W; Schroeder, RA; Krishnamoorthy, V; Raghunathan, K; Wu, H-T; Dunson, DB, Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data., PLoS One, vol. 18 no. 4 (2023), pp. e0284904
  19. Shen, C; Wu, HT, Scalability and robustness of spectral embedding: landmark diffusion is all you need, Information and Inference, vol. 11 no. 4 (December, 2022), pp. 1527-1595
  20. Gavish, M; Su, PC; Talmon, R; Wu, HT, Optimal recovery of precision matrix for Mahalanobis distance from high-dimensional noisy observations in manifold learning, Information and Inference, vol. 11 no. 4 (December, 2022), pp. 1173-1202
  21. Steinerberger, S; Wu, HT, Eigenvector Phase Retrieval: Recovering eigenvectors from the absolute value of their entries, Linear Algebra and Its Applications, vol. 652 (November, 2022), pp. 239-252
  22. Huang, WK; Chung, YM; Wang, YB; Mandel, JE; Wu, HT, Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression, Computational Statistics and Data Analysis, vol. 174 (October, 2022), pp. 107384-107384, Elsevier BV
  23. Sourisseau, M; Wu, HT; Zhou, Z, ASYMPTOTIC ANALYSIS OF SYNCHROSQUEEZING TRANSFORM—TOWARD STATISTICAL INFERENCE WITH NONLINEAR-TYPE TIME-FREQUENCY ANALYSIS, Annals of Statistics, vol. 50 no. 5 (October, 2022), pp. 2694-2712
  24. Cheng, X; Wu, H-T, Convergence of graph Laplacian with kNN self-tuned kernels, Information and Inference: A Journal of the IMA, vol. 11 no. 3 (September, 2022), pp. 889-957, Oxford University Press (OUP)
  25. Alian, A; Lo, YL; Shelley, K; Wu, HT, RECONSIDER PHASE RECONSTRUCTION IN SIGNALS WITH DYNAMIC PERIODICITY FROM THE MODERN SIGNAL PROCESSING PERSPECTIVE, Foundations of Data Science, vol. 4 no. 3 (September, 2022), pp. 355-393
  26. Zimmermann, P; Antonelli, MC; Sharma, R; Müller, A; Zelgert, C; Fabre, B; Wenzel, N; Wu, H-T; Frasch, MG; Lobmaier, SM, Prenatal stress perturbs fetal iron homeostasis in a sex specific manner., Scientific reports, vol. 12 no. 1 (June, 2022), pp. 9341
  27. Wu, HT; Wu, N, Strong uniform consistency with rates for kernel density estimators with general kernels on manifolds, Information and Inference, vol. 11 no. 2 (June, 2022), pp. 781-799
  28. Dunson, DB; Wu, HT; Wu, N, Graph based Gaussian processes on restricted domains, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 84 no. 2 (April, 2022), pp. 414-439
  29. Chiu, NT; Huwiler, S; Ferster, ML; Karlen, W; Wu, HT; Lustenberger, C, Get rid of the beat in mobile EEG applications: A framework towards automated cardiogenic artifact detection and removal in single-channel EEG, Biomedical Signal Processing and Control, vol. 72 (February, 2022)
  30. Liu, GR; Sheu, YC; Wu, HT, Asymptotic Analysis of higher-order scattering transform of Gaussian processes, Electronic Journal of Probability, vol. 27 (January, 2022)
  31. Shen, C; Lin, YT; Wu, HT, Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing, Journal of Machine Learning Research, vol. 23 (January, 2022)
  32. Baldazzi, G; Pani, D; Wu, HT, Extraction Algorithm for Morphologically Preserved Non-Invasive Multi-Channel Fetal ECG, Computing in Cardiology, vol. 2022-September (January, 2022), ISBN 9798350300970
  33. Chen, P-L; Chen, Y-C; Tu, P-H; Liu, T-C; Chen, M-C; Wu, H-T; Yeap, M-C; Yeh, C-H; Lu, C-S; Chen, C-C, Subthalamic high-beta oscillation informs the outcome of deep brain stimulation in patients with Parkinson's disease., Frontiers in human neuroscience, vol. 16 (January, 2022), pp. 958521
  34. Chew, J; Steach, H; Viswanath, S; Wu, HT; Hirn, M; Needell, D; Vesely, MD; Krishnaswamy, S; Perlmutter, M, THE MANIFOLD SCATTERING TRANSFORM FOR HIGH-DIMENSIONAL POINT CLOUD DATA, Proceedings of Machine Learning Research, vol. 196 (January, 2022), pp. 67-78
  35. Chen, Z; Wu, HT, WHEN RAMANUJAN MEETS TIME-FREQUENCY ANALYSIS IN COMPLICATED TIME SERIES ANALYSIS, Pure and Applied Analysis, vol. 4 no. 4 (January, 2022), pp. 629-673
  36. Chen, Z; Wu, H-T, Disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application (December, 2021)
  37. Steinerberger, S; Wu, H-T, Fundamental component enhancement via adaptive nonlinear activation functions (December, 2021)
  38. Hamilton, W; Marzuola, JL; Wu, HT, On the behavior of 1-Laplacian ratio cuts on nearly rectangular domains, Information and Inference, vol. 10 no. 4 (December, 2021), pp. 1563-1610, Oxford University Press (OUP)
  39. Ding, X; Wu, H-T, How do kernel-based sensor fusion algorithms behave under high dimensional noise? (November, 2021)
  40. Chen, HY; Malik, J; Wu, HT; Wang, CL, Is the median hourly ambulatory heart rate range helpful in stratifying mortality risk among newly diagnosed atrial fibrillation patients?, Journal of Personalized Medicine, vol. 11 no. 11 (November, 2021)
  41. Dunson, DB; Wu, HT; Wu, N, Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples, Applied and Computational Harmonic Analysis, vol. 55 (November, 2021), pp. 282-336
  42. Sourisseau, M; Wang, YG; Womersley, RS; Wu, HT; Yu, WH, Improve concentration of frequency and time (ConceFT) by novel complex spherical designs, Applied and Computational Harmonic Analysis, vol. 54 (September, 2021), pp. 137-144, Elsevier BV
  43. Tan, C; Zhang, L; Wu, HT; Qian, T, A novel feature representation approach for single-lead heartbeat classification based on adaptive Fourier decomposition, International Journal of Wavelets, Multiresolution and Information Processing, vol. 19 no. 5 (September, 2021)
  44. Wu, HT; Lai, TL; Haddad, GG; Muotri, A, Oscillatory Biomedical Signals: Frontiers in Mathematical Models and Statistical Analysis, Frontiers in Applied Mathematics and Statistics, vol. 7 (July, 2021)
  45. DiPietro, JA; Raghunathan, RS; Wu, H-T; Bai, J; Watson, H; Sgambati, FP; Henderson, JL; Pien, GW, Fetal heart rate during maternal sleep., Developmental psychobiology, vol. 63 no. 5 (July, 2021), pp. 945-959
  46. Steinerberger, S; Wu, HT, On Zeroes of Random Polynomials and an Application to Unwinding, International Mathematics Research Notices, vol. 2021 no. 13 (July, 2021), pp. 10100-10117, Oxford University Press (OUP)
  47. Lin, YT; Malik, J; Wu, HT, WAVE-SHAPE OSCILLATORY MODEL FOR NONSTATIONARY PERIODIC TIME SERIES ANALYSIS, Foundations of Data Science, vol. 3 no. 2 (June, 2021), pp. 99-131
  48. Wu, H-T; Alian, A; Shelley, K, A new approach to complicated and noisy physiological waveforms analysis: peripheral venous pressure waveform as an example., Journal of clinical monitoring and computing, vol. 35 no. 3 (May, 2021), pp. 637-653
  49. Liu, T-C; Liu, Y-W; Wu, H-T, Denoising click-evoked otoacoustic emission signals by optimal shrinkage., The Journal of the Acoustical Society of America, vol. 149 no. 4 (April, 2021), pp. 2659, Acoustical Society of America (ASA)
  50. Chiu, N-T; Huwiler, S; Ferster, ML; Karlen, W; Wu, H-T; Lustenberger, C, Get rid of the beat in mobile EEG applications: A framework towards automated cardiogenic artifact detection and removal in single-channel EEG (February, 2021)
  51. Liu, G-R; Lin, T-Y; Wu, H-T; Sheu, Y-C; Liu, C-L; Liu, W-T; Yang, M-C; Ni, Y-L; Chou, K-T; Chen, C-H; Wu, D; Lan, C-C; Chiu, K-L; Chiu, H-Y; Lo, Y-L, Large-scale assessment of consistency in sleep stage scoring rules among multiple sleep centers using an interpretable machine learning algorithm., Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, vol. 17 no. 2 (February, 2021), pp. 159-166
  52. Colominas, MA; Wu, HT, Decomposing non-stationary signals with time-varying wave-shape functions, IEEE Transactions on Signal Processing, vol. 69 (January, 2021), pp. 5094-5104
  53. Chung, Y-M; Hu, C-S; Lo, Y-L; Wu, H-T, A Persistent Homology Approach to Heart Rate Variability Analysis With an Application to Sleep-Wake Classification., Frontiers in physiology, vol. 12 (January, 2021), pp. 637684
  54. Frasch, MG; Shen, C; Wu, H-T; Mueller, A; Neuhaus, E; Bernier, RA; Kamara, D; Beauchaine, TP, Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children?, Journal of autism and developmental disorders, vol. 51 no. 1 (January, 2021), pp. 346-356
  55. Wang, H-HS; Cahill, D; Panagides, J; Nelson, CP; Wu, H-T; Estrada, C, Pattern recognition algorithm to identify detrusor overactivity on urodynamics., Neurourology and urodynamics, vol. 40 no. 1 (January, 2021), pp. 428-434
  56. Ding, X; Wu, HT, On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data, IEEE Transactions on Information Theory, vol. 67 no. 1 (January, 2021), pp. 640-670, Institute of Electrical and Electronics Engineers (IEEE)
  57. Meynard, A; Wu, HT, An Efficient Forecasting Approach to Reduce Boundary Effects in Real-Time Time-Frequency Analysis, IEEE Transactions on Signal Processing, vol. 69 (January, 2021), pp. 1653-1663
  58. Huang, Y-C; Lin, T-Y; Wu, H-T; Chang, P-J; Lo, C-Y; Wang, T-Y; Kuo, C-HS; Lin, S-M; Chung, F-T; Lin, H-C; Hsieh, M-H; Lo, Y-L, Cardiorespiratory coupling is associated with exercise capacity in patients with chronic obstructive pulmonary disease., BMC pulmonary medicine, vol. 21 no. 1 (January, 2021), pp. 22
  59. Liu, GR; Lo, YL; Sheu, YC; Wu, HT, Explore Intrinsic Geometry of Sleep Dynamics and Predict Sleep Stage by Unsupervised Learning Techniques, in Springer Optimization and Its Applications, vol. 168 (January, 2021), pp. 279-324
  60. Chen, Y-C; Wu, H-T; Tu, P-H; Yeh, C-H; Liu, T-C; Yeap, M-C; Chao, Y-P; Chen, P-L; Lu, C-S; Chen, C-C, Theta Oscillations at Subthalamic Region Predicts Hypomania State After Deep Brain Stimulation in Parkinson's Disease., Frontiers in human neuroscience, vol. 15 (January, 2021), pp. 797314
  61. Meynard, A; Seneviratna, G; Doyle, E; Becker, J; Wu, HT; Borg, JS, Predicting Trust Using Automated Assessment of Multivariate Interactional Synchrony, Proceedings - 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021 (January, 2021), ISBN 9781665431767
  62. Malik, J; Loring, Z; Piccini, JP; Wu, H-T, Interpretable morphological features for efficient single-lead automatic ventricular ectopy detection., J Electrocardiol, vol. 65 (2021), pp. 55-63
  63. Su, P-C; Soliman, EZ; Wu, H-T, Robust T-End Detection via T-End Signal Quality Index and Optimal Shrinkage., Sensors (Basel, Switzerland), vol. 20 no. 24 (December, 2020), pp. E7052
  64. Sourisseau, M; Wang, YG; Womersley, RS; Wu, H-T; Yu, W-H, Improve Concentration of Frequency and Time (Conceft) by Novel Complex Spherical Designs (November, 2020)
  65. Ding, X; Wu, H-T, Impact of signal-to-noise ratio and bandwidth on graph Laplacian spectrum from high-dimensional noisy point cloud (November, 2020)
  66. Frasch, MG; Lobmaier, SM; Stampalija, T; Desplats, P; Pallarés, ME; Pastor, V; Brocco, MA; Wu, H-T; Schulkin, J; Herry, CL; Seely, AJE; Metz, GAS; Louzoun, Y; Antonelli, MC, Non-invasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multi-scale multi-species perspective on data collection and analysis., Neuroscience and biobehavioral reviews, vol. 117 (October, 2020), pp. 165-183
  67. Wu, HT, Current state of nonlinear-type time–frequency analysis and applications to high-frequency biomedical signals, Current Opinion in Systems Biology, vol. 23 (October, 2020), pp. 8-21
  68. Chang, Z; Chen, Z; Stephen, CD; Schmahmann, JD; Wu, H-T; Sapiro, G; Gupta, AS, Accurate detection of cerebellar smooth pursuit eye movement abnormalities via mobile phone video and machine learning., Scientific reports, vol. 10 no. 1 (October, 2020), pp. 18641
  69. Chang, H-C; Wu, H-T; Huang, P-C; Ma, H-P; Lo, Y-L; Huang, Y-H, Portable Sleep Apnea Syndrome Screening and Event Detection Using Long Short-Term Memory Recurrent Neural Network., Sensors (Basel, Switzerland), vol. 20 no. 21 (October, 2020), pp. E6067
  70. Chang, C-H; Fang, Y-L; Wang, Y-J; Wu, H-T; Lin, Y-T, Differentiation of skin incision and laparoscopic trocar insertion via quantifying transient bradycardia measured by electrocardiogram., Journal of clinical monitoring and computing, vol. 34 no. 4 (August, 2020), pp. 753-762
  71. McErlean, J; Malik, J; Lin, Y-T; Talmon, R; Wu, H-T, Unsupervised Ensembling of Multiple Software Sensors with Phase Synchronization: A Robust approach For Electrocardiogram-derived Respiration (June, 2020)
  72. Cicone, A; Wu, H-T, Convergence analysis of Adaptive Locally Iterative Filtering and SIFT method (May, 2020)
  73. Malik, J; Soliman, EZ; Wu, H-T, An adaptive QRS detection algorithm for ultra-long-term ECG recordings., Journal of electrocardiology, vol. 60 (May, 2020), pp. 165-171
  74. Wang, S-C; Wu, H-T; Huang, P-H; Chang, C-H; Ting, C-K; Lin, Y-T, Novel Imaging Revealing Inner Dynamics for Cardiovascular Waveform Analysis via Unsupervised Manifold Learning., Anesthesia and analgesia, vol. 130 no. 5 (May, 2020), pp. 1244-1254
  75. Liu, G-R; Lustenberger, C; Lo, Y-L; Liu, W-T; Sheu, Y-C; Wu, H-T, Save Muscle Information-Unfiltered EEG Signal Helps Distinguish Sleep Stages., Sensors (Basel, Switzerland), vol. 20 no. 7 (April, 2020), pp. E2024
  76. Chen, Z; Wu, H-T, When Ramanujan meets time-frequency analysis in complicated time series analysis, Pure Appl. Analysis, vol. 4 (March, 2020), pp. 629-673
  77. Liu, Y-W; Kao, S-L; Wu, H-T; Liu, T-C; Fang, T-Y; Wang, P-C, Transient-evoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Ménière's disease., Acta oto-laryngologica, vol. 140 no. 3 (March, 2020), pp. 230-235
  78. Lo, Y-L; Wu, H-T; Lin, Y-T; Kuo, H-P; Lin, T-Y, Hypoventilation patterns during bronchoscopic sedation and their clinical relevance based on capnographic and respiratory impedance analysis., Journal of clinical monitoring and computing, vol. 34 no. 1 (February, 2020), pp. 171-179
  79. Lobmaier, SM; Müller, A; Zelgert, C; Shen, C; Su, PC; Schmidt, G; Haller, B; Berg, G; Fabre, B; Weyrich, J; Wu, HT; Frasch, MG; Antonelli, MC, Fetal heart rate variability responsiveness to maternal stress, non-invasively detected from maternal transabdominal ECG., Archives of gynecology and obstetrics, vol. 301 no. 2 (February, 2020), pp. 405-414
  80. Liu, GR; Lo, YL; Malik, J; Sheu, YC; Wu, HT, Diffuse to fuse EEG spectra – Intrinsic geometry of sleep dynamics for classification, Biomedical Signal Processing and Control, vol. 55 (January, 2020)
  81. Huroyan, V; Lerman, G; Wu, H-T, Solving Jigsaw Puzzles by the Graph Connection Laplacian, SIAM Journal on Imaging Sciences, vol. 13 no. 4 (January, 2020), pp. 1717-1753, Society for Industrial & Applied Mathematics (SIAM)
  82. Alian, A; Lo, Y-L; Shelley, K; Wu, H-T, Reconsider phase reconstruction in signals with dynamic periodicity from the modern signal processing perspective (2020)
  83. Shen, C; Lin, Y-T; Wu, H-T, Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing (2020)
  84. Su, P-C; Miller, S; Idriss, S; Barker, P; Wu, H-T, Recovery of the fetal electrocardiogram for morphological analysis from two trans-abdominal channels via optimal shrinkage., Physiol Meas, vol. 40 no. 11 (December, 2019), pp. 115005
  85. Thai, DH; Wu, HT; Dunson, DB, Locally convex kernel mixtures: Bayesian subspace learning, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 (December, 2019), pp. 272-275, ISBN 9781728145495
  86. Talmon, R; Wu, HT, Latent common manifold learning with alternating diffusion: Analysis and applications, Applied and Computational Harmonic Analysis, vol. 47 no. 3 (November, 2019), pp. 848-892, Elsevier BV
  87. Korolj, A; Wu, H-T; Radisic, M, A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems., Biomaterials, vol. 219 (October, 2019), pp. 119363
  88. Martinez, N; Bertran, M; Sapiro, G; Wu, HT, Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video, Proceedings - International Conference on Image Processing, ICIP, vol. 2019-September (September, 2019), pp. 2020-2024, ISBN 9781538662496
  89. Wang, YG; Womersley, RS; Wu, H-T; Yu, W-H, Numerical computation of triangular complex spherical designs with small mesh ratio (July, 2019)
  90. Wu, H; Alagapan, S; Frohlich, F; Shin, HW, Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography, Journal of Neural Engineering, vol. 16 no. 3 (June, 2019), pp. 036010, IOP Publishing
  91. Lu, Y; Wu, HT; Malik, J, Recycling cardiogenic artifacts in impedance pneumography, Biomedical Signal Processing and Control, vol. 51 (May, 2019), pp. 162-170
  92. Sourisseau, M; Wu, H-T; Zhou, Z, Asymptotic analysis of synchrosqueezing transform -- toward statistical inference with nonlinear-type time-frequency analysis (April, 2019)
  93. Gavish, M; Talmon, R; Su, P-C; Wu, H-T, Optimal Recovery of Precision Matrix for Mahalanobis Distance from High Dimensional Noisy Observations in Manifold Learning (April, 2019)
  94. Chen, H-Y; Pan, H-C; Chen, Y-C; Chen, Y-C; Lin, Y-H; Yang, S-H; Chen, J-L; Wu, H-T, Traditional Chinese medicine use is associated with lower end-stage renal disease and mortality rates among patients with diabetic nephropathy: a population-based cohort study., BMC complementary and alternative medicine, vol. 19 no. 1 (April, 2019), pp. 81
  95. Zhang, JT; Cheng, MY; Wu, HT; Zhou, B, A new test for functional one-way ANOVA with applications to ischemic heart screening, Computational Statistics and Data Analysis, vol. 132 (April, 2019), pp. 3-17, Elsevier BV
  96. Tan, C; Zhang, L; Wu, H-T, A Novel Blaschke Unwinding Adaptive-Fourier-Decomposition-Based Signal Compression Algorithm With Application on ECG Signals., IEEE journal of biomedical and health informatics, vol. 23 no. 2 (March, 2019), pp. 672-682, Institute of Electrical and Electronics Engineers (IEEE)
  97. Katz, O; Talmon, R; Lo, YL; Wu, HT, Alternating diffusion maps for multimodal data fusion, Information Fusion, vol. 45 (January, 2019), pp. 346-360, Elsevier BV
  98. Shnitzer, T; Lederman, RR; Liu, GR; Talmon, R; Wu, HT, Diffusion operators for multimodal data analysis, vol. 20 (January, 2019), pp. 1-39
  99. Lin, Y-T; Lo, Y-L; Lin, C-Y; Frasch, MG; Wu, H-T, Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data., PloS one, vol. 14 no. 9 (January, 2019), pp. e0221319
  100. Kao, SL; Lien, HW; Liu, TC; Wu, HT; Fang, TY; Wang, PC; Liu, YW, Meniere's disease prognosis by learning from transient-evoked otoacoustic emission signals, Proceedings of the International Congress on Acoustics, vol. 2019-September (January, 2019), pp. 6505-6512, ISBN 9783939296157
  101. Shnitzer, T; Ben-Chen, M; Guibas, L; Talmon, R; Wu, H-T, Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators, SIAM Journal on Mathematics of Data Science, vol. 1 no. 3 (January, 2019), pp. 588-616, Society for Industrial & Applied Mathematics (SIAM)
  102. Malik, J; Shen, C; Wu, HT; Wu, N, CONNECTING DOTS: FROM LOCAL COVARIANCE TO EMPIRICAL INTRINSIC GEOMETRY AND LOCALLY LINEAR EMBEDDING, Pure and Applied Analysis, vol. 1 no. 4 (January, 2019), pp. 515-542
  103. Lin, CY; Wu, HT, Embeddings of Riemannian manifolds with finite eigenvector fields of connection Laplacian, Calculus of Variations and Partial Differential Equations, vol. 57 no. 5 (October, 2018), Springer Nature America, Inc
  104. Escalona-Vargas, D; Wu, H-T; Frasch, MG; Eswaran, H, A Comparison of Five Algorithms for Fetal Magnetocardiography Signal Extraction., Cardiovascular engineering and technology, vol. 9 no. 3 (September, 2018), pp. 483-487, Springer Nature
  105. Malik, J; Lo, Y-L; Wu, H-T, Sleep-wake classification via quantifying heart rate variability by convolutional neural network., Physiological measurement, vol. 39 no. 8 (August, 2018), pp. 085004, IOP Publishing
  106. Lin, Y; Wu, H; Yang, Z; Lin, Q, Erratum: Validation of the Name Paraphlomis hispida (Lamiaceae) (Novon (2017) 25 (436-437) DOI: 10.3417/D-16-00022), Novon, vol. 26 no. 2 (August, 2018), pp. 256
  107. Wu, HT; Wu, JC; Huang, PC; Lin, TY; Wang, TY; Huang, YH; Lo, YL, Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system, Frontiers in Physiology, vol. 9 no. JUL (July, 2018), FRONTIERS MEDIA SA
  108. Wu, H-T; Liu, Y-W, Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time., The Journal of the Acoustical Society of America, vol. 144 no. 1 (July, 2018), pp. 448, Acoustical Society of America (ASA)
  109. Lin, CY; Minasian, A; Qi, XJ; Wu, HT, Manifold Learning via the Principle Bundle Approach, Frontiers in Applied Mathematics and Statistics, vol. 4 (June, 2018)
  110. Liu, TC; Wu, HT; Chen, YH; Fang, TY; Wang, PC; Liu, YW, Analysis of click-evoked otoacoustic emissions by concentration of frequency and time: Preliminary results from normal hearing and Ménière's disease ears, AIP Conference Proceedings, vol. 1965 (May, 2018), Author(s), ISBN 9780735416703
  111. Wu, H-T; Soliman, EZ, A new approach for analysis of heart rate variability and QT variability in long-term ECG recording., Biomedical engineering online, vol. 17 no. 1 (May, 2018), pp. 54
  112. Wu, JC; Wang, CW; Huang, YH; Wu, HT; Huang, PC; Lo, YL, A Portable Monitoring System with Automatic Event Detection for Sleep Apnea Level-IV Evaluation, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2018-May (April, 2018), ISBN 9781538648810
  113. Lin, CY; Su, L; Wu, HT, Wave-Shape Function Analysis: When Cepstrum Meets Time–Frequency Analysis, Journal of Fourier Analysis and Applications, vol. 24 no. 2 (April, 2018), pp. 451-505, Springer Nature
  114. Shen, C; Frasch, MG; Wu, HT; Herry, CL; Cao, M; Desrochers, A; Fecteau, G; Burns, P, Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets., Physiological measurement, vol. 39 no. 3 (March, 2018), pp. 035005
  115. Wu, H; Wu, N, Think globally, fit locally under the Manifold Setup: Asymptotic Analysis of Locally Linear Embedding, edited by Hsin, T, Annals of Statistics, vol. 46 no. 6B (January, 2018), pp. 3805-3837, Institute of Mathematical Statistics
  116. Kowalski, M; Meynard, A; Wu, HT, Convex Optimization approach to signals with fast varying instantaneous frequency, Applied and Computational Harmonic Analysis, vol. 44 no. 1 (January, 2018), pp. 89-122, Elsevier BV
  117. Wu, H-K; Ko, Y-S; Lin, Y-S; Wu, H-T; Tsai, T-H; Chang, H-H, Corrigendum to "The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine" [Complementary Ther. Med. 30 (2017) 107-112]., Complementary therapies in medicine, vol. 35 (December, 2017), pp. 145
  118. Lin, YY; Wu, HT; Hsu, CA; Huang, PC; Huang, YH; Lo, YL, Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals of Wearable Piezoelectric Bands, IEEE Journal of Biomedical and Health Informatics, vol. 21 no. 6 (November, 2017), pp. 1533-1545, Institute of Electrical and Electronics Engineers (IEEE)
  119. CHAO, YS; Wu, HT; Wu, CJ, Feasibility of Classifying Life Stages and Searching for the Determinants: Results from the Medical Expenditure Panel Survey 1996–2011, Frontiers in Public Health, vol. 5 (October, 2017)
  120. Lin, T-Y; Fang, Y-F; Huang, S-H; Wang, T-Y; Kuo, C-H; Wu, H-T; Kuo, H-P; Lo, Y-L, Capnography monitoring the hypoventilation during the induction of bronchoscopic sedation: A randomized controlled trial., Scientific reports, vol. 7 no. 1 (August, 2017), pp. 8685
  121. Chao, Y-S; Wu, H-T; Scutari, M; Chen, T-S; Wu, C-J; Durand, M; Boivin, A, A network perspective on patient experiences and health status: the Medical Expenditure Panel Survey 2004 to 2011., BMC health services research, vol. 17 no. 1 (August, 2017), pp. 579
  122. Georgiou, AS; Bello-Rivas, JM; Gear, CW; Wu, HT; Chiavazzo, E; Kevrekidis, IG, An exploration algorithm for stochastic simulators driven by energy gradients, Entropy, vol. 19 no. 7 (July, 2017), pp. 294-294, MDPI AG
  123. Malik, J; Reed, N; Wang, C-L; Wu, H-T, Single-lead f-wave extraction using diffusion geometry., Physiological measurement, vol. 38 no. 7 (June, 2017), pp. 1310-1334
  124. Sheu, YL; Hsu, LY; Chou, PT; Wu, HT, Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis, International Journal of Data Science and Analytics, vol. 3 no. 4 (June, 2017), pp. 231-245, Springer Science and Business Media LLC
  125. Su, L; Wu, HT, Extract Fetal ECG from Single-Lead Abdominal ECG by De-Shape Short Time Fourier Transform and Nonlocal Median, Frontiers in Applied Mathematics and Statistics, vol. 3 (February, 2017)
  126. Herry, CL; Frasch, M; Seely, AJ; Wu, H-T, Heart beat classification from single-lead ECG using the synchrosqueezing transform., Physiological measurement, vol. 38 no. 2 (February, 2017), pp. 171-187
  127. Wu, H-K; Ko, Y-S; Lin, Y-S; Wu, H-T; Tsai, T-H; Chang, H-H, The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine., Complementary therapies in medicine, vol. 30 (February, 2017), pp. 107-112
  128. Wu, HT, Embedding Riemannian manifolds by the heat kernel of the connection Laplacian, Advances in Mathematics, vol. 304 (January, 2017), pp. 1055-1079, Elsevier BV
  129. Wu, H; Steinerberger, S; Coifman, R, Carrier frequencies, holomorphy and unwinding, SIAM Journal on Mathematical Analysis, vol. 49 no. 6 (January, 2017), pp. 4838-4864, Society for Industrial and Applied Mathematics
  130. Li, R; Frasch, MG; Wu, H-T, Efficient Fetal-Maternal ECG Signal Separation from Two Channel Maternal Abdominal ECG via Diffusion-Based Channel Selection., Frontiers in physiology, vol. 8 (January, 2017), pp. 277
  131. Frasch, MG; Boylan, GB; Wu, H-T; Devane, D, Commentary: Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial., Frontiers in physiology, vol. 8 (January, 2017), pp. 721
  132. Cicone, A; Wu, H-T, How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way., Frontiers in physiology, vol. 8 (January, 2017), pp. 701
  133. Liu, W-T; Wu, H-T; Juang, J-N; Wisniewski, A; Lee, H-C; Wu, D; Lo, Y-L, Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine., PloS one, vol. 12 no. 5 (January, 2017), pp. e0176991
  134. Lin, Y-T; Wu, H-T, ConceFT for Time-Varying Heart Rate Variability Analysis as a Measure of Noxious Stimulation During General Anesthesia., IEEE transactions on bio-medical engineering, vol. 64 no. 1 (January, 2017), pp. 145-154
  135. Singer, A; Wu, HT, Spectral convergence of the connection Laplacian from random samples, Information and Inference, vol. 6 no. 1 (January, 2017), pp. 58-123
  136. Wu, C-H; Wang, T-D; Hsieh, C-H; Huang, S-H; Lin, J-W; Hsu, S-C; Wu, H-T; Wu, Y-M; Liu, T-M, Imaging Cytometry of Human Leukocytes with Third Harmonic Generation Microscopy., Scientific reports, vol. 6 no. 1 (November, 2016), pp. 37210
  137. Marchesini, S; Tu, YC; Wu, HT, Alternating projection, ptychographic imaging and phase synchronization, Applied and Computational Harmonic Analysis, vol. 41 no. 3 (November, 2016), pp. 815-851, Elsevier BV
  138. Wu, H-T; Lewis, GF; Davila, MI; Daubechies, I; Porges, SW, Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform., Methods of information in medicine, vol. 55 no. 5 (October, 2016), pp. 463-472
  139. Lin, Y-T; Flandrin, P; Wu, H-T, When Interpolation-Induced Reflection Artifact Meets Time-Frequency Analysis., IEEE transactions on bio-medical engineering, vol. 63 no. 10 (October, 2016), pp. 2133-2141
  140. O'Neal, WT; Wang, YG; Wu, H-T; Zhang, Z-M; Li, Y; Tereshchenko, LG; Estes, EH; Daubechies, I; Soliman, EZ, Electrocardiographic J Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk In Communities Study)., The American journal of cardiology, vol. 118 no. 6 (September, 2016), pp. 811-815
  141. Chui, CK; Lin, YT; Wu, HT, Real-Time dynamics acquisition from irregular samples-With application to anesthesia evaluation, Analysis and Applications, vol. 14 no. 4 (July, 2016), pp. 537-590, World Scientific Pub Co Pte Lt
  142. Daubechies, I; Wang, YG; Wu, H-T, ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform., Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 374 no. 2065 (April, 2016), pp. 20150193
  143. El Karoui, N; Wu, HT, Graph connection Laplacian methods can be made robust to noise, Annals of Statistics, vol. 44 no. 1 (February, 2016), pp. 346-372, Institute of Mathematical Statistics
  144. Herry, CL; Cortes, M; Wu, H-T; Durosier, LD; Cao, M; Burns, P; Desrochers, A; Fecteau, G; Seely, AJE; Frasch, MG, Temporal Patterns in Sheep Fetal Heart Rate Variability Correlate to Systemic Cytokine Inflammatory Response: A Methodological Exploration of Monitoring Potential Using Complex Signals Bioinformatics., PloS one, vol. 11 no. 4 (January, 2016), pp. e0153515
  145. Wu, H-T; Wu, H-K; Wang, C-L; Yang, Y-L; Wu, W-H; Tsai, T-H; Chang, H-H, Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform., PloS one, vol. 11 no. 6 (January, 2016), pp. e0157135
  146. Vatter, T; Wu, HT; Chavez-Demoulin, V; Yu, B, Non-parametric estimation of intraday spot volatility: Disentangling instantaneous trend and seasonality, Econometrics, vol. 3 no. 4 (December, 2015), pp. 864-887
  147. Sheu, Y-L; Wu, H-T; Hsu, L-Y, Exploring laser-driven quantum phenomena from a time-frequency analysis perspective: a comprehensive study., Optics express, vol. 23 no. 23 (November, 2015), pp. 30459-30482
  148. Lederman, RR; Talmon, R; Wu, HT; Lo, YL; Coifman, RR, Alternating diffusion for common manifold learning with application to sleep stage assessment, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2015-August (August, 2015), pp. 5758-5762, IEEE, ISBN 9781467369978
  149. Wu, H-T; Talmon, R; Lo, Y-L, Assess sleep stage by modern signal processing techniques., IEEE transactions on bio-medical engineering, vol. 62 no. 4 (April, 2015), pp. 1159-1168
  150. Karoui, NE; Wu, HT, Graph connection Laplacian and random matrices with random blocks, Information and Inference, vol. 4 no. 1 (March, 2015), pp. 1-42
  151. Wu, HT; Baudin, F; Frasch, MG; Emeriaud, G, Respiratory variability during NAVA ventilation in children: Authors' reply, Frontiers in Pediatrics, vol. 3 no. FEB (February, 2015)
  152. Wang, YG; Wu, H-T; Daubechies, I; Li, Y; Estes, EH; Soliman, EZ, Automated J wave detection from digital 12-lead electrocardiogram., Journal of electrocardiology, vol. 48 no. 1 (January, 2015), pp. 21-28
  153. Lederman, RR; Talmon, R; Wu, H-T; Lo, Y-L; Coifman, RR, ALTERNATING DIFFUSION FOR COMMON MANIFOLD LEARNING WITH APPLICATION TO SLEEP STAGE ASSESSMENT, 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) (2015), pp. 5758-5762
  154. Baudin, F; Wu, HT; Bordessoule, A; Beck, J; Jouvet, P; Frasch, MG; Emeriaud, G, Impact of ventilatory modes on the breathing variability in mechanically ventilated infants, Frontiers in Pediatrics, vol. 2 no. NOV (November, 2014)
  155. Sheu, YL; Hsu, LY; Wu, HT; Li, PC; Chu, SI, A new time-frequency method to reveal quantum dynamics of atomic hydrogen in intense laser pulses: Synchrosqueezing transform, AIP Advances, vol. 4 no. 11 (November, 2014), pp. 117138-117138, AIP Publishing
  156. Wu, H-T; Hseu, S-S; Bien, M-Y; Kou, YR; Daubechies, I, Evaluating physiological dynamics via synchrosqueezing: prediction of ventilator weaning., IEEE transactions on bio-medical engineering, vol. 61 no. 3 (March, 2014), pp. 736-744
  157. Wu, HT; Chan, YH; Lin, YT; Yeh, YH, Using synchrosqueezing transform to discover breathing dynamics from ECG signals, Applied and Computational Harmonic Analysis, vol. 36 no. 2 (March, 2014), pp. 354-359, Elsevier BV
  158. Lin, Y-T; Wu, H-T; Tsao, J; Yien, H-W; Hseu, S-S, Time-varying spectral analysis revealing differential effects of sevoflurane anaesthesia: non-rhythmic-to-rhythmic ratio., Acta anaesthesiologica Scandinavica, vol. 58 no. 2 (February, 2014), pp. 157-167
  159. Chen, YC; Cheng, MY; Wu, HT, Non-parametric and adaptive modelling of dynamic periodicity and trend with heteroscedastic and dependent errors, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 76 no. 3 (January, 2014), pp. 651-682, WILEY
  160. Marchesini, S; Schirotzek, A; Yang, C; Wu, HT; Maia, F, Augmented projections for ptychographic imaging, Inverse Problems, vol. 29 no. 11 (November, 2013), pp. 115009-115009, IOP Publishing
  161. Zhang, J-T; Cheng, M-Y; Tseng, C-J; Wu, H-T, A New Test for One-Way ANOVA with Functional Data and Application to Ischemic Heart Screening (September, 2013)
  162. Wu, HT, Instantaneous frequency and wave shape functions (I), Applied and Computational Harmonic Analysis, vol. 35 no. 2 (September, 2013), pp. 181-199, Elsevier BV
  163. Thakur, G; Brevdo, E; Fučkar, NS; Wu, HT, The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications, Signal Processing, vol. 93 no. 5 (May, 2013), pp. 1079-1094, Elsevier BV
  164. Cheng, MY; Wu, HT, Local linear regression on manifolds and its geometric interpretation, Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), pp. 1421-1434, Informa UK Limited
  165. Auger, F; Flandrin, P; Lin, YT; McLaughlin, S; Meignen, S; Oberlin, T; Wu, HT, Time-frequency reassignment and synchrosqueezing: An overview, IEEE Signal Processing Magazine, vol. 30 no. 6 (January, 2013), pp. 32-41, Institute of Electrical and Electronics Engineers (IEEE)
  166. Wang, Y-M; Wu, H-T; Huang, E-Y; Kou, YR; Hseu, S-S, Heart rate variability is associated with survival in patients with brain metastasis: a preliminary report., BioMed research international, vol. 2013 (January, 2013), pp. 503421
  167. Singer, A; Wu, H-T, Two-Dimensional Tomography from Noisy Projections Taken at Unknown Random Directions., SIAM journal on imaging sciences, vol. 6 no. 1 (January, 2013), pp. 136-175
  168. Singer, A; Wu, H-T, Vector Diffusion Maps and the Connection Laplacian., Communications on pure and applied mathematics, vol. 65 no. 8 (August, 2012)
  169. Thakur, G; Wu, HT, Synchrosqueezing-based recovery of instantaneous frequency from nonuniform samples, SIAM Journal on Mathematical Analysis, vol. 43 no. 5 (November, 2011), pp. 2078-2095, Society for Industrial & Applied Mathematics (SIAM)
  170. Singer, A; Wu, H-T, Orientability and Diffusion Maps., Applied and computational harmonic analysis, vol. 31 no. 1 (July, 2011), pp. 44-58
  171. Wu, HT; Flandrin, P; Daubechies, I, One or two frequencies? the synchrosqueezing answers, Advances in Adaptive Data Analysis, vol. 3 no. 1-2 (April, 2011), pp. 29-39, World Scientific Pub Co Pte Lt
  172. Daubechies, I; Lu, J; Wu, H-T, Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool, Applied and Computational Harmonic Analysis, vol. 30 no. 2 (March, 2011), pp. 243-261, Elsevier BV