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2020 – today
- 2024
[c18]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. ICML 2024- [i20]Davide Coppola, Hwee Kuan Lee:
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations. CoRR abs/2405.20672 (2024) - [i19]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 abs/2406.02847 (2024) - 2023
- [j24]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: 102813 (2023) - [j23]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: 449-465 (2023) - [c17]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:
Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. EMBC 2023: 1-4 - [i18]Jiyi Zhang, Han Fang, Hwee Kuan Lee, Ee-Chien Chang:
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation. CoRR abs/2305.05869 (2023) - 2022
- [j22]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: 178-193 (2022) - [j21]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): 100399 (2022) - [j20]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): 100447 (2022) - [j19]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): 100642 (2022) - [c16]Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee:
Confusing and Detecting ML Adversarial Attacks with Injected Attractors. AsiaCCS 2022: 322-336 - [d2]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:
Digital Pathology Dataset for Prostate Cancer Diagnosis. Zenodo, 2022
- [d1]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:
Digital Pathology Dataset for Prostate Cancer Diagnosis. Zenodo, 2022 - [i17]Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee:
PaRT: Parallel Learning Towards Robust and Transparent AI. CoRR abs/2201.09534 (2022) - [i16]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 abs/2202.10701 (2022) - [i15]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 abs/2206.07515 (2022) - 2021
- [j18]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: 101838 (2021) - [c15]Jiyi Zhang, Wesley Joon-Wie Tann, Ee-Chien Chang, Hwee Kuan Lee:
Common Component in Black-Boxes Is Prone to Attacks. ESORICS (1) 2021: 584-604 - [i14]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 abs/2101.12505 (2021) - [i13]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 abs/2103.00778 (2021) - [i12]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 abs/2106.02864 (2021) - 2020
- [j17]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): 558 (2020) - [j16]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: 257-270 (2020) - [c14]Davide Coppola, Hwee Kuan Lee, Cuntai Guan:
Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning. CVPR Workshops 2020: 3162-3171 - [c13]Connie Kou, Hwee Kuan Lee, Ee-Chien Chang, Teck Khim Ng:
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. ICLR 2020 - [c12]Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung:
Weakly Supervised Clustering by Exploiting Unique Class Count. ICLR 2020 - [i11]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 abs/2002.12588 (2020) - [i10]Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee:
Detection and Recovery of Adversarial Attacks with Injected Attractors. CoRR abs/2003.02732 (2020) - [i9]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 abs/2006.01561 (2020)
2010 – 2019
- 2019
- [j15]Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan:
Gated-Dilated Networks for Lung Nodule Classification in CT Scans. IEEE Access 7: 178827-178838 (2019) - [j14]Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng:
A compact network learning model for distribution regression. Neural Networks 110: 199-212 (2019) - [c11]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: 141-148 - [i8]Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan:
Gated-Dilated Networks for Lung Nodule Classification in CT scans. CoRR abs/1901.00120 (2019) - [i7]Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee:
Fence GAN: Towards Better Anomaly Detection. CoRR abs/1904.01209 (2019) - [i6]Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang:
Enhancing Transformation-based Defenses using a Distribution Classifier. CoRR abs/1906.00258 (2019) - [i5]Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung:
A Weakly Supervised Learning Based Clustering Framework. CoRR abs/1906.07647 (2019) - [i4]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 abs/1910.04030 (2019) - 2018
- [i3]Jiyi Zhang, Hung Dang, Hwee Kuan Lee, Ee-Chien Chang:
Learning Inverse Mappings with Adversarial Criterion. CoRR abs/1802.04504 (2018) - [i2]Connie Kou, Hwee Kuan Lee, Teck Khim Ng:
Distribution Regression Network. CoRR abs/1804.04775 (2018) - [i1]Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz:
An Efficient Network for Predicting Time-Varying Distributions. CoRR abs/1811.01506 (2018) - 2017
- [j13]Sheng Yang Michael Loh, Yoshitaka Ogawa, Sara Kawana, Koichiro Tamura, Hwee Kuan Lee:
Semi-automated quantitative Drosophila wings measurements. BMC Bioinform. 18(1): 319 (2017) - 2016
- [j12]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: 176-189 (2016) - 2015
- [j11]Simone G. O. Fiori, Tianxia Gong, Hwee Kuan Lee:
Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System. Cogn. Comput. 7(6): 715-730 (2015) - 2014
- [j10]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: 15-26 (2014) - 2013
- [j9]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): 2 (2013) - [j8]Turgay Çelik, Hwee Kuan Lee:
Comments on "A Robust Fuzzy Local Information C-Means Clustering Algorithm". IEEE Trans. Image Process. 22(3): 1258-1261 (2013) - [c10]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: 242-249 - 2012
- [j7]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): 2955-2968 (2012) - [c9]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: 2009-2012 - [c8]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: 1623-1626 - 2011
- [j6]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): 1495-1503 (2011) - 2010
- [j5]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: 155 (2010) - [c7]Yan Nei Law, Hwee Kuan Lee, Andy M. Yip:
Subspace Descriptor for Texture and its Applications. IPCV 2010: 499-504
2000 – 2009
- 2009
- [j4]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): 1-13 (2009) - [c6]Yan Nei Law, Hwee Kuan Lee, Andy M. Yip:
Supervised Texture Segmentation Using the Subspace Mumford-Shah Model. IPCV 2009: 554-560 - [c5]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: 568-574 - [c4]Qirong Ho, Weimiao Yu, Hwee Kuan Lee:
Region Graph Spectra as Geometric Global Image Features. ISVC (1) 2009: 253-264 - [c3]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: 531-543 - 2008
- [j3]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): 2289-2300 (2008) - [c2]Weimiao Yu, Hwee Kuan Lee, Srivats Hariharan, Wenyu Bu, Sohail Ahmed:
Level Set Segmentation of Cellular Images Based on Topological Dependence. ISVC (1) 2008: 540-551 - [c1]Choon Kong Yap, Hwee Kuan Lee:
Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector. ISVC (1) 2008: 582-593 - 2006
- [j2]Hwee Kuan Lee, Yutaka Okabe, D. P. Landau:
Convergence and refinement of the Wang-Landau algorithm. Comput. Phys. Commun. 175(1): 36-40 (2006) - 2005
- [j1]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): 159-164 (2005)
Coauthor Index
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