Hwee Kuan Lee

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 39

Top Topics

Monte Carlo Simulation

Weakly Supervised

Cancer Diagnosis

Top Venues

Publications

Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. CoRR (2024)
Davide Coppola, Hwee Kuan Lee
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations. CoRR (2024)
Jiyi Zhang, Han Fang, Hwee Kuan Lee, Ee-Chien Chang
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation. CoRR (2023)
Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
Improving transparency and representational generalizability through parallel continual learning. Neural Networks 161 (2023)
Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, Wing-Kin Sung
Distribution based MIL pooling filters: Experiments on a lymph node metastases dataset. Medical Image Anal. 87 (2023)
Mahsa Paknezhad, Cuong Phuc Ngo, Amadeus Aristo Winarto, Alistair Cheong, Beh Chuen Yang, Jiayang Wu, Hwee Kuan Lee
Explaining adversarial vulnerability with a data sparsity hypothesis. Neurocomputing 495 (2022)
Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee
Confusing and Detecting ML Adversarial Attacks with Injected Attractors. AsiaCCS (2022)
Mustafa Umit Oner, Wing-Kin Sung, Hwee Kuan Lee
Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine. Patterns 3 (2) (2022)
Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
PaRT: Parallel Learning Towards Robust and Transparent AI. CoRR (2022)
Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee
Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours. CoRR (2022)
Mustafa Umit Oner, Jianbin Chen, Egor Revkov, Anne James, Seow Ye Heng, Arife Neslihan Kaya, Jacob Josiah Santiago Alvarez, Angela Takano, Xin Min Cheng, Tony Kiat Hon Lim, Daniel Shao-Weng Tan, Weiwei Zhai, Anders Jacobsen Skanderup, Wing-Kin Sung, Hwee Kuan Lee
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study. Patterns 3 (2) (2022)
Zerui Chen, Sonia Xhyn Teo, Andrie Ochtman, Shier Nee Saw, Nicholas Cheng, Eric Tien Siang Lim, Murphy Lyu, Hwee Kuan Lee
A Deep Learning Network for the Classification of Intracardiac Electrograms in Atrial Tachycardia. CoRR (2022)
Mustafa Umit Oner, Mei Ying Ng, Danilo Medina Giron, Cecilia Ee Chen Xi, Louis Ang Yuan Xiang, Malay Singh, Weimiao Yu, Wing-Kin Sung, Chin Fong Wong, Hwee Kuan Lee
An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases. Patterns 3 (12) (2022)
Chengyang Zhou, Thao Vy Dinh, Heyi Kong, Jonathan Yap, Khung Keong Yeo, Hwee Kuan Lee, Kaicheng Liang
Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease. CoRR (2021)
Mahsa Paknezhad, Cuong Phuc Ngo, Amadeus Aristo Winarto, Alistair Cheong, Beh Chuen Yang, Jiayang Wu, Hwee Kuan Lee
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis. CoRR (2021)
Jiyi Zhang, Wesley Joon-Wie Tann, Ee-Chien Chang, Hwee Kuan Lee
Common Component in Black-Boxes Is Prone to Attacks. ESORICS (1) (2021)
Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification. CoRR (2021)
Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee
An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification. Comput. Medical Imaging Graph. 87 (2021)
Connie Kou, Hwee Kuan Lee, Ee-Chien Chang, Teck Khim Ng
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. ICLR (2020)
Davide Coppola, Hwee Kuan Lee, Cuntai Guan
Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning. CVPR Workshops (2020)
Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung
Weakly Supervised Clustering by Exploiting Unique Class Count. ICLR (2020)
Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, Wing-Kin Sung
Studying The Effect of MIL Pooling Filters on MIL Tasks. CoRR (2020)
Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury, Valerie Koh Cui Koh, Timothy Tay Kwang Yong, Hui Shan Tan, Ravindran Kanesvaran, Puay Hoon Tan, John Yuen Shyi Peng, Weimiao Yu, Yongcheng Benjamin Tan, Yong Zhen Loy, Min-Han Tan, Hwee Kuan Lee
Regional registration of whole slide image stacks containing major histological artifacts. BMC Bioinform. 21 (1) (2020)
Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee
Detection and Recovery of Adversarial Attacks with Injected Attractors. CoRR (2020)
Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
Theoretical and experimental analysis on the generalizability of distribution regression network. Neurocomputing 401 (2020)
Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury, Valerie Koh Cui Koh, Timothy Tay Kwang Yong, Hui Shan Tan, Ravindran Kanesvaran, Puay Hoon Tan, John Yuen Shyi Peng, Weimiao Yu, Yongcheng Benjamin Tan, Yong Zhen Loy, Min-Han Tan, Hwee Kuan Lee
Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts. CoRR (2020)
Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng
A compact network learning model for distribution regression. Neural Networks 110 (2019)
Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang
Enhancing Transformation-based Defenses using a Distribution Classifier. CoRR (2019)
Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
Gated-Dilated Networks for Lung Nodule Classification in CT scans. CoRR (2019)
Malay Singh, Emarene Mationg Kalaw, Jie Wang, Mundher Al-Shabi, Chin Fong Wong, Danilo Medina Giron, Kian-Tai Chong, Maxine Tan, Zeng Zeng, Hwee Kuan Lee
Cribriform pattern detection in prostate histopathological images using deep learning models. CoRR (2019)
Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
Gated-Dilated Networks for Lung Nodule Classification in CT Scans. IEEE Access 7 (2019)
Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee
Fence GAN: Towards Better Anomaly Detection. CoRR (2019)
Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung
A Weakly Supervised Learning Based Clustering Framework. CoRR (2019)
Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee
Fence GAN: Towards Better Anomaly Detection. ICTAI (2019)
Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
An Efficient Network for Predicting Time-Varying Distributions. CoRR (2018)
Connie Kou, Hwee Kuan Lee, Teck Khim Ng
Distribution Regression Network. CoRR (2018)
Jiyi Zhang, Hung Dang, Hwee Kuan Lee, Ee-Chien Chang
Learning Inverse Mappings with Adversarial Criterion. CoRR (2018)
Sheng Yang Michael Loh, Yoshitaka Ogawa, Sara Kawana, Koichiro Tamura, Hwee Kuan Lee
Semi-automated quantitative Drosophila wings measurements. BMC Bioinform. 18 (1) (2017)
Satoshi Sashida, Yutaka Okabe, Hwee Kuan Lee
Application of Monte Carlo simulation with block-spin transformation based on the Mumford-Shah segmentation model to three-dimensional biomedical images. Comput. Vis. Image Underst. 152 (2016)
Simone G. O. Fiori, Tianxia Gong, Hwee Kuan Lee
Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System. Cogn. Comput. 7 (6) (2015)
Satoshi Sashida, Yutaka Okabe, Hwee Kuan Lee
Comparison of multi-label graph cuts method and Monte Carlo simulation with block-spin transformation for the piecewise constant Mumford-Shah segmentation model. Comput. Vis. Image Underst. 119 (2014)
Turgay Çelik, Hwee Kuan Lee
Comments on "A Robust Fuzzy Local Information C-Means Clustering Algorithm". IEEE Trans. Image Process. 22 (3) (2013)
Tianxia Gong, Nengli Lim, Li Cheng, Hwee Kuan Lee, Bolan Su, Chew Lim Tan, Shimiao Li, C. C. Tchoyoson Lim, Boon Chuan Pang, Cheng Kiang Lee
Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries. ICTAI (2013)
Vladimir A. Kuznetsov, Hwee Kuan Lee, Sebastian Maurer-Stroh, Maria Judit Molnár, Sándor Pongor, Birgit Eisenhaber, Frank Eisenhaber
How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health. Health Inf. Sci. Syst. 1 (1) (2013)
Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed
Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction. ICPR (2012)
Yan Nei Law, Hwee Kuan Lee, Michael K. Ng, Andy M. Yip
A Semisupervised Segmentation Model for Collections of Images. IEEE Trans. Image Process. 21 (6) (2012)
Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed
Segmentation of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets. ICIP (2012)
Yan Nei Law, Hwee Kuan Lee, Chaoqiang Liu, Andy M. Yip
A Variational Model for Segmentation of Overlapping Objects With Additive Intensity Value. IEEE Trans. Image Process. 20 (6) (2011)
Yan Nei Law, Hwee Kuan Lee, Andy M. Yip
Subspace Descriptor for Texture and its Applications. IPCV (2010)
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity. BMC Bioinform. 11 (2010)
Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Shvetha Sankaran, Pascal Vallotton, Sohail Ahmed
Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres. ISVC (1) (2009)
Yan Nei Law, Stephen Ogg, John Common, David Tan, E. Birgitte Lane, Andy M. Yip, Hwee Kuan Lee
Automated Protein Distribution Detection in High-Throughput Image-Based siRNA Library Screens. J. Signal Process. Syst. 55 (1-3) (2009)
Yan Nei Law, Hwee Kuan Lee, Andy M. Yip
Supervised Texture Segmentation Using the Subspace Mumford-Shah Model. IPCV (2009)
Yan Nei Law, Hwee Kuan Lee, Chaoqiang Liu, Andy M. Yip
Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model. IPCV (2009)
Qirong Ho, Weimiao Yu, Hwee Kuan Lee
Region Graph Spectra as Geometric Global Image Features. ISVC (1) (2009)
Choon Kong Yap, Hwee Kuan Lee
Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector. ISVC (1) (2008)
Yan Nei Law, Hwee Kuan Lee, Andy M. Yip
A Multiresolution Stochastic Level Set Method for Mumford-Shah Image Segmentation. IEEE Trans. Image Process. 17 (12) (2008)
Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu, Sohail Ahmed
Level Set Segmentation of Cellular Images Based on Topological Dependence. ISVC (1) (2008)
Hwee Kuan Lee, Yutaka Okabe, D. P. Landau
Convergence and refinement of the Wang-Landau algorithm. Comput. Phys. Commun. 175 (1) (2006)
Hwee Kuan Lee, Yutaka Okabe, X. Cheng, M. B. A. Jalil
Solving the master equation for extremely long time scale calculations. Comput. Phys. Commun. 168 (3) (2005)