Solving the master equation for extremely long time scale calculations. - Hwee Kuan Lee; Yutaka Okabe; X. Cheng; M. B. A. Jalil (Comput. Phys. Commun., 2005)

Convergence and refinement of the Wang-Landau algorithm. - Hwee Kuan Lee; Yutaka Okabe; D. P. Landau (Comput. Phys. Commun., 2006)

Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector. - Choon Kong Yap; Hwee Kuan Lee (ISVC (1), 2008)

Level Set Segmentation of Cellular Images Based on Topological Dependence. - Weimiao Yu; Hwee Kuan Lee; Srivats Hariharan; Wenyu Bu; Sohail Ahmed (ISVC (1), 2008)

A Multiresolution Stochastic Level Set Method for Mumford-Shah Image Segmentation. - Yan Nei Law; Hwee Kuan Lee; Andy M. Yip (IEEE Trans. Image Process., 2008)

Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model. - Yan Nei Law; Hwee Kuan Lee; Chaoqiang Liu; Andy M. Yip (IPCV, 2009)

Supervised Texture Segmentation Using the Subspace Mumford-Shah Model. - Yan Nei Law; Hwee Kuan Lee; Andy M. Yip (IPCV, 2009)

Region Graph Spectra as Geometric Global Image Features. - Qirong Ho; Weimiao Yu; Hwee Kuan Lee (ISVC (1), 2009)

Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres. - Weimiao Yu; Hwee Kuan Lee; Srivats Hariharan; Shvetha Sankaran; Pascal Vallotton; Sohail Ahmed (ISVC (1), 2009)

Automated Protein Distribution Detection in High-Throughput Image-Based siRNA Library Screens. - Yan Nei Law; Stephen Ogg; John Common; David Tan; E. Birgitte Lane; Andy M. Yip; Hwee Kuan Lee (J. Signal Process. Syst., 2009)

Subspace Descriptor for Texture and its Applications. - Yan Nei Law; Hwee Kuan Lee; Andy M. Yip (IPCV, 2010)

Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity. - Zong Hong Zhang; Hwee Kuan Lee; Ivana Mihalek (BMC Bioinform., 2010)

A Variational Model for Segmentation of Overlapping Objects With Additive Intensity Value. - Yan Nei Law; Hwee Kuan Lee; Chaoqiang Liu; Andy M. Yip (IEEE Trans. Image Process., 2011)

Segmentation of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets. - Wei Xiong 001; Shue-Ching Chia; Joo-Hwee Lim; Hwee Kuan Lee; Shvetha Sankaran; Sohail Ahmed (ICIP, 2012)

Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction. - Wei Xiong 001; Shue-Ching Chia; Joo-Hwee Lim; Hwee Kuan Lee; Shvetha Sankaran; Sohail Ahmed (ICPR, 2012)

A Semisupervised Segmentation Model for Collections of Images. - Yan Nei Law; Hwee Kuan Lee; Michael K. Ng 001; Andy M. Yip (IEEE Trans. Image Process., 2012)

Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries. - Tianxia Gong; Nengli Lim; Li Cheng 001; Hwee Kuan Lee; Bolan Su; Chew Lim Tan; Shimiao Li; C. C. Tchoyoson Lim; Boon Chuan Pang; Cheng Kiang Lee (ICTAI, 2013)

How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health. - Vladimir A. Kuznetsov; Hwee Kuan Lee; Sebastian Maurer-Stroh; Maria Judit Molnár; Sándor Pongor; Birgit Eisenhaber; Frank Eisenhaber (Health Inf. Sci. Syst., 2013)

Comments on "A Robust Fuzzy Local Information C-Means Clustering Algorithm". - Turgay Çelik 001; Hwee Kuan Lee (IEEE Trans. Image Process., 2013)

Comparison of multi-label graph cuts method and Monte Carlo simulation with block-spin transformation for the piecewise constant Mumford-Shah segmentation model. - Satoshi Sashida; Yutaka Okabe; Hwee Kuan Lee (Comput. Vis. Image Underst., 2014)

Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System. - Simone G. O. Fiori; Tianxia Gong; Hwee Kuan Lee (Cogn. Comput., 2015)

Application of Monte Carlo simulation with block-spin transformation based on the Mumford-Shah segmentation model to three-dimensional biomedical images. - Satoshi Sashida; Yutaka Okabe; Hwee Kuan Lee (Comput. Vis. Image Underst., 2016)

Semi-automated quantitative Drosophila wings measurements. - Sheng Yang Michael Loh; Yoshitaka Ogawa; Sara Kawana; Koichiro Tamura; Hwee Kuan Lee (BMC Bioinform., 2017)

Learning Inverse Mappings with Adversarial Criterion. - Jiyi Zhang; Hung Dang; Hwee Kuan Lee; Ee-Chien Chang (CoRR, 2018)

Distribution Regression Network. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng (CoRR, 2018)

An Efficient Network for Predicting Time-Varying Distributions. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng; Jorge Sanz (CoRR, 2018)

Fence GAN: Towards Better Anomaly Detection. - Cuong Phuc Ngo; Amadeus Aristo Winarto; Connie Khor Li Kou; Sojeong Park; Farhan Akram; Hwee Kuan Lee (ICTAI, 2019)

Gated-Dilated Networks for Lung Nodule Classification in CT Scans. - Mundher Al-Shabi; Hwee Kuan Lee; Maxine Tan (IEEE Access, 2019)

Enhancing Transformation-based Defenses using a Distribution Classifier. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng; Ee-Chien Chang (CoRR, 2019)

A Weakly Supervised Learning Based Clustering Framework. - Mustafa Umit Oner; Hwee Kuan Lee; Wing-Kin Sung (CoRR, 2019)

Cribriform pattern detection in prostate histopathological images using deep learning models. - Malay Singh; Emarene Mationg Kalaw; Jie Wang 042; Mundher Al-Shabi; Chin Fong Wong; Danilo Medina Giron; Kian-Tai Chong; Maxine Tan; Zeng Zeng; Hwee Kuan Lee (CoRR, 2019)

A compact network learning model for distribution regression. - Connie Khor Li Kou; Hwee Kuan Lee; Teck Khim Ng (Neural Networks, 2019)

Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning. - Davide Coppola; Hwee Kuan Lee; Cuntai Guan (CVPR Workshops, 2020)

Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. - Connie Kou; Hwee Kuan Lee; Ee-Chien Chang; Teck Khim Ng (ICLR, 2020)

Weakly Supervised Clustering by Exploiting Unique Class Count. - Mustafa Umit Oner; Hwee Kuan Lee; Wing-Kin Sung (ICLR, 2020)

Regional registration of whole slide image stacks containing major histological artifacts. - 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; et al. (BMC Bioinform., 2020)

Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts. - 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; et al. (CoRR, 2020)

Detection and Recovery of Adversarial Attacks with Injected Attractors. - Jiyi Zhang; Ee-Chien Chang; Hwee Kuan Lee (CoRR, 2020)

Studying The Effect of MIL Pooling Filters on MIL Tasks. - Mustafa Umit Oner; Jared Marc Song Kye-Jet; Hwee Kuan Lee; Wing-Kin Sung (CoRR, 2020)

Theoretical and experimental analysis on the generalizability of distribution regression network. - Connie Khor Li Kou; Hwee Kuan Lee; Teck Khim Ng; Jorge Sanz (Neurocomputing, 2020)

Common Component in Black-Boxes Is Prone to Attacks. - Jiyi Zhang; Wesley Joon-Wie Tann; Ee-Chien Chang; Hwee Kuan Lee (ESORICS (1), 2021)

An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification. - Suvidha Tripathi; Satish Kumar Singh; Hwee Kuan Lee (Comput. Medical Imaging Graph., 2021)

Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease. - Chengyang Zhou; Thao Vy Dinh; Heyi Kong; Jonathan Yap; Khung Keong Yeo; Hwee Kuan Lee; Kaicheng Liang (CoRR, 2021)

Confusing and Detecting ML Adversarial Attacks with Injected Attractors. - Jiyi Zhang; Ee-Chien Chang; Hwee Kuan Lee (AsiaCCS, 2022)

PaRT: Parallel Learning Towards Robust and Transparent AI. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (CoRR, 2022)

Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours. - Suvidha Tripathi; Satish Kumar Singh; Hwee Kuan Lee (CoRR, 2022)

A Deep Learning Network for the Classification of Intracardiac Electrograms in Atrial Tachycardia. - Zerui Chen; Sonia Xhyn Teo; Andrie Ochtman; Shier Nee Saw; Nicholas Cheng; Eric Tien Siang Lim; Murphy Lyu; Hwee Kuan Lee (CoRR, 2022)

Explaining adversarial vulnerability with a data sparsity hypothesis. - Mahsa Paknezhad; Cuong Phuc Ngo; Amadeus Aristo Winarto; Alistair Cheong; Beh Chuen Yang; Jiayang Wu; Hwee Kuan Lee (Neurocomputing, 2022)

Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study. - 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; et al. (Patterns, 2022)

An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases. - 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 (Patterns, 2022)

Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine. - Mustafa Umit Oner; Wing-Kin Sung; Hwee Kuan Lee (Patterns, 2022)

Digital Pathology Dataset for Prostate Cancer Diagnosis. - 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 (Zenodo, 2022)

Digital Pathology Dataset for Prostate Cancer Diagnosis. - 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 (Zenodo, 2022)

Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. - Xiaohong Wang; Shuang Leng; Zhongkang Lu; Su Huang; Beng Hai Lee; Lohendran Baskaran; Min Sen Yew; Lynette Li San Teo; M. Y. Chan; Kee Yuan Ngiam; Hwee Kuan Lee; Liang Zhong 001; et al. (EMBC, 2023)

Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation. - Jiyi Zhang; Han Fang; Hwee Kuan Lee; Ee-Chien Chang (CoRR, 2023)

Distribution based MIL pooling filters: Experiments on a lymph node metastases dataset. - Mustafa Umit Oner; Jared Marc Song Kye-Jet; Hwee Kuan Lee; Wing-Kin Sung (Medical Image Anal., 2023)

Improving transparency and representational generalizability through parallel continual learning. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (Neural Networks, 2023)

Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images. - Jiangyun Li; Zhongkang Lu; Shuang Leng; Xiaohong Wang; Lohendran Baskaran; Min Sen Yew; Mark Chan; Lynette L. Teo; Kee Yuan Ngiam; Hwee Kuan Lee; Liang Zhong 001; Zhiping Lin 001; et al. (EMBC, 2024)

A Dynamic Jobs-Skills Knowledge Graph. - Alejandro Seif; Sarah Toh; Hwee Kuan Lee (HR@RecSys, 2024)

Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. - Brian K. Chen; Tianyang Hu; Hui Jin; Hwee Kuan Lee; Kenji Kawaguchi (ICML, 2024)

Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations. - Davide Coppola; Hwee Kuan Lee (CoRR, 2024)

D-LORD for Motion Stylization. - Meenakshi Gupta; Mingyuan Lei; Tat-Jen Cham; Hwee Kuan Lee (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Prefix-Tuning+: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention. - Haonan Wang; Brian K. Chen; Siquan Li; Xinhe Liang; Hwee Kuan Lee; Kenji Kawaguchi; Tianyang Hu (CoRR, 2025)