Hwee Kuan Lee - RankMe

69 papers A* 3A 1B 4Journal 49Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable neural network driven molecular dynamics simulation. Comput. Phys. Commun. Sojeong Park, Wei Liu, Simon Julian Lauw, Wooseop Kwak, Chandra Shekhar Verma, Hwee Kuan Lee
2025	J	`jnl`	D-LORD for Motion Stylization. IEEE Trans. Syst. Man Cybern. Syst. Meenakshi Gupta, Mingyuan Lei, Tat-Jen Cham, Hwee Kuan Lee
2025	J	`jnl`	Prefix-Tuning+: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention. CoRR Haonan Wang, Brian K. Chen, Siquan Li, Xinhe Liang, Hwee Kuan Lee, Kenji Kawaguchi, Tianyang Hu
2025	J	`jnl`	Systematic benchmarking of 13 AI methods for predicting cyclic peptide membrane permeability. J. Cheminformatics Wei Liu, Jianguo Li, Chandra S. Verma, Hwee Kuan Lee
2024	—	`conf`	A Dynamic Jobs-Skills Knowledge Graph. HR@RecSys Alejandro Seif, Sarah Toh, Hwee Kuan Lee
2024	J	`jnl`	D-LORD for Motion Stylization. CoRR Meenakshi Gupta, Mingyuan Lei, Tat-Jen Cham, Hwee Kuan Lee
2024	A*	`conf`	Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. ICML Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
2024	J	`jnl`	Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. CoRR Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
2024	—	`conf`	Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images. EMBC 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, Zhiping Lin, Weimin Huang
2024	J	`jnl`	Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations. CoRR Davide Coppola, Hwee Kuan Lee
2023	—	`conf`	Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. EMBC 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, Weimin Huang
2023	J	`jnl`	Distribution based MIL pooling filters: Experiments on a lymph node metastases dataset. Medical Image Anal. Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, Wing-Kin Sung
2023	J	`jnl`	Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation. CoRR Jiyi Zhang, Han Fang, Hwee Kuan Lee, Ee-Chien Chang
2023	J	`jnl`	Improving transparency and representational generalizability through parallel continual learning. Neural Networks Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
2022	J	`jnl`	A Deep Learning Network for the Classification of Intracardiac Electrograms in Atrial Tachycardia. CoRR Zerui Chen, Sonia Xhyn Teo, Andrie Ochtman, Shier Nee Saw, Nicholas Cheng, Eric Tien Siang Lim, Murphy Lyu, Hwee Kuan Lee
2022	J	`jnl`	An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases. Patterns 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
2022	J	`jnl`	Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours. CoRR Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee
2022	A	`conf`	Confusing and Detecting ML Adversarial Attacks with Injected Attractors. AsiaCCS Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee
2022	J	`jnl`	Explaining adversarial vulnerability with a data sparsity hypothesis. Neurocomputing Mahsa Paknezhad, Cuong Phuc Ngo, Amadeus Aristo Winarto, Alistair Cheong, Beh Chuen Yang, Jiayang Wu, Hwee Kuan Lee
2022	J	`jnl`	Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study. Patterns 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
2022	J	`jnl`	Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine. Patterns Mustafa Umit Oner, Wing-Kin Sung, Hwee Kuan Lee
2022	J	`jnl`	PaRT: Parallel Learning Towards Robust and Transparent AI. CoRR Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
2021	J	`jnl`	An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification. CoRR Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee
2021	J	`jnl`	An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification. Comput. Medical Imaging Graph. Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee
2021	J	`jnl`	Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease. CoRR Chengyang Zhou, Thao Vy Dinh, Heyi Kong, Jonathan Yap, Khung Keong Yeo, Hwee Kuan Lee, Kaicheng Liang
2021	—	`conf`	Common Component in Black-Boxes Is Prone to Attacks. ESORICS (1) Jiyi Zhang, Wesley Joon-Wie Tann, Ee-Chien Chang, Hwee Kuan Lee
2021	J	`jnl`	Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis. CoRR Mahsa Paknezhad, Cuong Phuc Ngo, Amadeus Aristo Winarto, Alistair Cheong, Beh Chuen Yang, Jiayang Wu, Hwee Kuan Lee
2020	J	`jnl`	Detection and Recovery of Adversarial Attacks with Injected Attractors. CoRR Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee
2020	A*	`conf`	Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. ICLR Connie Kou, Hwee Kuan Lee, Ee-Chien Chang, Teck Khim Ng
2020	—	`conf`	Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning. CVPR Workshops Davide Coppola, Hwee Kuan Lee, Cuntai Guan
2020	J	`jnl`	Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts. CoRR 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
2020	J	`jnl`	Regional registration of whole slide image stacks containing major histological artifacts. BMC Bioinform. 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
2020	J	`jnl`	Studying The Effect of MIL Pooling Filters on MIL Tasks. CoRR Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, Wing-Kin Sung
2020	J	`jnl`	Theoretical and experimental analysis on the generalizability of distribution regression network. Neurocomputing Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
2020	A*	`conf`	Weakly Supervised Clustering by Exploiting Unique Class Count. ICLR Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung
2019	J	`jnl`	A Weakly Supervised Learning Based Clustering Framework. CoRR Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung
2019	J	`jnl`	A compact network learning model for distribution regression. Neural Networks Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng
2019	J	`jnl`	Cribriform pattern detection in prostate histopathological images using deep learning models. CoRR 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
2019	J	`jnl`	Enhancing Transformation-based Defenses using a Distribution Classifier. CoRR Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang
2019	B	`conf`	Fence GAN: Towards Better Anomaly Detection. ICTAI Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee
2019	J	`jnl`	Fence GAN: Towards Better Anomaly Detection. CoRR Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee
2019	J	`jnl`	Gated-Dilated Networks for Lung Nodule Classification in CT Scans. IEEE Access Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
2019	J	`jnl`	Gated-Dilated Networks for Lung Nodule Classification in CT scans. CoRR Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
2018	J	`jnl`	An Efficient Network for Predicting Time-Varying Distributions. CoRR Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
2018	J	`jnl`	Distribution Regression Network. CoRR Connie Kou, Hwee Kuan Lee, Teck Khim Ng
2018	J	`jnl`	Learning Inverse Mappings with Adversarial Criterion. CoRR Jiyi Zhang, Hung Dang, Hwee Kuan Lee, Ee-Chien Chang
2017	J	`jnl`	Semi-automated quantitative Drosophila wings measurements. BMC Bioinform. Sheng Yang Michael Loh, Yoshitaka Ogawa, Sara Kawana, Koichiro Tamura, Hwee Kuan Lee
2016	J	`jnl`	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. Satoshi Sashida, Yutaka Okabe, Hwee Kuan Lee
2015	J	`jnl`	Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System. Cogn. Comput. Simone G. O. Fiori, Tianxia Gong, Hwee Kuan Lee
2014	J	`jnl`	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. Satoshi Sashida, Yutaka Okabe, Hwee Kuan Lee
2013	J	`jnl`	Comments on "A Robust Fuzzy Local Information C-Means Clustering Algorithm". IEEE Trans. Image Process. Turgay Çelik, Hwee Kuan Lee
2013	B	`conf`	Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries. ICTAI 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
2013	J	`jnl`	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. Vladimir A. Kuznetsov, Hwee Kuan Lee, Sebastian Maurer-Stroh, Maria Judit Molnár, Sándor Pongor, Birgit Eisenhaber, Frank Eisenhaber
2012	J	`jnl`	A Semisupervised Segmentation Model for Collections of Images. IEEE Trans. Image Process. Yan Nei Law, Hwee Kuan Lee, Michael K. Ng, Andy M. Yip
2012	B	`conf`	Segmentation of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets. ICIP Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed
2012	B	`conf`	Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction. ICPR Wei Xiong, Shue-Ching Chia, Joo-Hwee Lim, Hwee Kuan Lee, Shvetha Sankaran, Sohail Ahmed
2011	J	`jnl`	A Variational Model for Segmentation of Overlapping Objects With Additive Intensity Value. IEEE Trans. Image Process. Yan Nei Law, Hwee Kuan Lee, Chaoqiang Liu, Andy M. Yip
2010	J	`jnl`	Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity. BMC Bioinform. Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
2010	—	`conf`	Subspace Descriptor for Texture and its Applications. IPCV Yan Nei Law, Hwee Kuan Lee, Andy M. Yip
2009	J	`jnl`	Automated Protein Distribution Detection in High-Throughput Image-Based siRNA Library Screens. J. Signal Process. Syst. Yan Nei Law, Stephen Ogg, John Common, David Tan, E. Birgitte Lane, Andy M. Yip, Hwee Kuan Lee
2009	—	`conf`	Region Graph Spectra as Geometric Global Image Features. ISVC (1) Qirong Ho, Weimiao Yu, Hwee Kuan Lee
2009	—	`conf`	Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres. ISVC (1) Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Shvetha Sankaran, Pascal Vallotton, Sohail Ahmed
2009	—	`conf`	Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model. IPCV Yan Nei Law, Hwee Kuan Lee, Chaoqiang Liu, Andy M. Yip
2009	—	`conf`	Supervised Texture Segmentation Using the Subspace Mumford-Shah Model. IPCV Yan Nei Law, Hwee Kuan Lee, Andy M. Yip
2008	J	`jnl`	A Multiresolution Stochastic Level Set Method for Mumford-Shah Image Segmentation. IEEE Trans. Image Process. Yan Nei Law, Hwee Kuan Lee, Andy M. Yip
2008	—	`conf`	Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector. ISVC (1) Choon Kong Yap, Hwee Kuan Lee
2008	—	`conf`	Level Set Segmentation of Cellular Images Based on Topological Dependence. ISVC (1) Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu, Sohail Ahmed
2006	J	`jnl`	Convergence and refinement of the Wang-Landau algorithm. Comput. Phys. Commun. Hwee Kuan Lee, Yutaka Okabe, D. P. Landau
2005	J	`jnl`	Solving the master equation for extremely long time scale calculations. Comput. Phys. Commun. Hwee Kuan Lee, Yutaka Okabe, X. Cheng, M. B. A. Jalil