| Deep Clustering with Variational Autoencoder KL Lim, XD Jiang, CH Yi IEEE Signal Processing Letter, 2020 | 83 | 2020 |
| Shape classification using local and global features KL Lim, HK Galoogahi 2010 Pacific-Rim Symposium on Image and Video Technology (PSIVT), 115-120, 2010 | 50 | 2010 |
| Seeded random walk for multi-view semi-supervised classification S Wang, Z Wang, KL Lim, G Xiao, W Guo Knowledge-Based Systems 222, 107016, 2021 | 28 | 2021 |
| Learning Gaussian mixture model with a maximization-maximization algorithm for image classification KL Lim, H Wang, X Mou 2016 International Conference on Control and Automation (ICCA), 887-891, 2016 | 14 | 2016 |
| Extraction of 2D barcode using keypoint selection and line detection KL Lim, W Yue 2009 Pacific-Rim Conference on Multimedia (PCM), 826-835, 2009 | 14* | 2009 |
| Physics Informed Neural Network using Finite Difference Method KL Lim, R Dutta, M Rotaru 2022 IEEE International Conference on Systems, Man, and Cybernetics, 2022 | 12 | 2022 |
| MAP approximation to the variational Bayes Gaussian mixture model and application KL Lim, H Wang Soft Computing 22 (10), 3287-3299, 2017 | 12 | 2017 |
| Fast approximation of variational bayes dirichlet process mixture using the maximization–maximization algorithm KL Lim, H Wang International Journal of Approximate Reasoning 93, 153-177, 2017 | 8 | 2017 |
| Sparse coding based Fisher vector using a Bayesian approach KL Lim, H Wang IEEE Signal Processing Letters 24 (1), 91-95, 2016 | 7 | 2016 |
| Material Removal Rate Prediction using Classification-Regression Approach KL Lim, R Dutta 2020 Electronics Packaging Technology Conference (EPTC), 172-175, 2020 | 4 | 2020 |
| Learning a field of Gaussian mixture model for image classification KL Lim, H Wang 2016 International Conference on Control, Automation, Robotics and Vision …, 2016 | 3 | 2016 |
| Prognostics and Health Management of Wafer Chemical-Mechanical Polishing System using Deep Clustering and Regression KL Lim, R Dutta 2021 International Conference on Prognostics and Health Management (ICPHM), 2021 | 2* | 2021 |
| Variational Approximation of Dirichlet Process Mixture using Stochastic Gradient Ascent with Fisher Information and Theory KL Lim, XD Jiang Pattern Recognition, 2020 | 2* | 2020 |
| SAR speckle mitigation by fusing statistical information from spatial and wavelet domains KL Lim, N Canagarajah, A Achim 2007 Pacific-Rim Conference on Multimedia (PCM), 794-803, 2007 | 2 | 2007 |
| Deep Clustering using Dirichlet Process Gaussian Mixture and Alpha Jensen-Shannon Divergence Clustering Loss KL Lim 2021 International Joint Conference on Neural Networks (IJCNN), 2021 | 1 | 2021 |
| Pitman-Yor Process Mixture using Variational Stochastic Gradient Ascent with First and Second Moments of Gradient KL Lim 2020 International Joint Conference on Neural Networks (IJCNN), 2020 | 1* | 2020 |
| PCB floor placement using deep reinforcement learning KL Lim | | 2024 |
| Stress prediction using deep learning with strategic sampling technique KL Lim, L Ji | | 2024 |
| Electromagnetic Field Analysis using Physics Informed Neural Net and Partial Differential Equation Solver KL Lim 2024 IEEE Conference on Electromagnetic Field Computation (CEFC), 2024 | | 2024 |
| Inverse prediction of capacitor multiphysics dynamic parameters using deep generative model KL Lim, R Dutta, M Rotaru 2023 IEEE 73rd Electronic Components and Technology Conference (ECTC), 1825-1831, 2023 | | 2023 |
