Wynne Hsu

发表

Efficient mining of frequent XML query patterns with repeating-siblings

Mong-Li Lee, Limsoon Wong, Liang Huai Yang, 2008, Inf. Softw. Technol..

Correlation-based Attribute Outlier Detection in XML

Mong-Li Lee, Wynne Hsu, Judice L. Y. Koh, 2008, 2008 IEEE 24th International Conference on Data Engineering.

Pruning and summarizing the discovered associations

Wynne Hsu, Yiming Ma, Bing Liu, 1999, KDD '99.

Domain knowledge to support the discovery process: previously discovered knowledge

Wynne Hsu, Bing Liu, W. Hsu, 2002 .

Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training

Wynne Hsu, Chris Samarinas, Mong Li Lee, 2020, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Mining frequent query patterns from XML queries

Mong-Li Lee, Liang Huai Yang, Wynne Hsu, 2003, Eighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings..

PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records pdf

Mong-Li Lee, Wynne Hsu, Suman Bhoi, 2020, ArXiv.

MaxFirst for MaxBRkNN

Wei Wu, Mong-Li Lee, Wynne Hsu, 2011, 2011 IEEE 27th International Conference on Data Engineering.

MINING WAFER FABRICATION: FRAMEWORK AND CHALLENGES

Wynne Hsu, Jemmy Soenjaya, Mong Li Lee, 2005 .

Feedback Evaluation of Assembly

Wynne Hsu, 1992 .

Identifying non-actionable association rules

Wynne Hsu, Yiming Ma, Bing Liu, 2001, KDD '01.

An Information-Driven Framework for Image Mining

Ji Zhang, Mong-Li Lee, Wynne Hsu, 2001, DEXA.

Mode committee: a novel ensemble method by clustering and local learning

Mong-Li Lee, Wynne Hsu, Zhipeng Xie, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

Efficient remote homology detection using local structure

Mong-Li Lee, Wynne Hsu, Christopher Bystroff, 2003, Bioinform..

An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection

Mong-Li Lee, Wynne Hsu, Jay Nandy, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

Mining Generalized Flow Patterns

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

Positive Borders or Negative Borders: How to Make Lossless Generator Based Representations Concise

Jinyan Li, Guimei Liu, Limsoon Wong, 2006, SDM.

Approximating scheduling for multimedia applications under overload conditions

Wynne Hsu, Teik Guan Tan, 1998, Int. J. Approx. Reason..

Mining progressive confident rules in sequence databases

Wynne Hsu, Mong Li Lee, Minghua Zhang, 1970 .

Concept lattice based composite classifiers for high predictability

Mong-Li Lee, Zongtian Liu, Wynne Hsu, 2002, J. Exp. Theor. Artif. Intell..

Discovering the set of fundamental rule changes

Wynne Hsu, Yiming Ma, Bing Liu, 2001, KDD '01.

An effective approach to detect lesions in color retinal images

Mong-Li Lee, Wynne Hsu, Huan Wang, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Distributed relational temporal difference learning

Mong-Li Lee, Wynne Hsu, Qiangfeng Peter Lau, 2013, AAMAS.

A Partition-Based Approach to Graph Mining

Mong-Li Lee, Wynne Hsu, Junmei Wang, 2006, 22nd International Conference on Data Engineering (ICDE'06).

Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2020, AAAI.

Linking Temporal Records for Profiling Entities

Mong-Li Lee, Furong Li, Wynne Hsu, 2015, SIGMOD Conference.

Discriminative Mutation Chains in Virus Sequences

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

Mining Prevalence-Based Ratio Patterns

Wynne Hsu, Mong Li Lee, Minghua Zhang, 2007 .

Current research in the conceptual design of mechanical products

Wynne Hsu, Irene M. Y. Woon, W. Hsu, 1998, Comput. Aided Des..

Database research at the National University of Singapore

Anthony K. H. Tung, Beng Chin Ooi, Stéphane Bressan, 2013, SGMD.

Mining relationships among interval-based events for classification

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2008, SIGMOD Conference.

Bayesian Classification

Wynne Hsu, W. Hsu, 2009, Encyclopedia of Database Systems.

KPN: a Petri net model for general knowledge representation and reasoning

Hung Keng Pung, Wynne Hsu, Shengke Yu, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Generalization of classification rules

Mong-Li Lee, Wynne Hsu, Zhipeng Xie, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

Incremental Mining of Top-k Maximal Influential Paths in Network Data

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2013, Trans. Large Scale Data Knowl. Centered Syst..

Integrating Classification and Association Rule Mining

Wynne Hsu, Yiming Ma, Bing Liu, 1998, KDD.

Targeted Influence Maximization in Social Networks

Mong-Li Lee, Wynne Hsu, Chonggang Song, 2016, CIKM.

Discovering Trends and Relationships among Rules

Mong-Li Lee, Wynne Hsu, Chaohai Chen, 2009, DEXA.

Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques

Qing Zhang, Mong-Li Lee, Wynne Hsu, 2005, DASFAA.

Conceptual level design for assembly analysis using state transitional approach

Andrew Lim, Wynne Hsu, C. S. George Lee, 1996, Proceedings of IEEE International Conference on Robotics and Automation.

Image Mining: Issues, Frameworks and Techniques

Ji Zhang, Mong-Li Lee, Wynne Hsu, 2001, MDM/KDD.

Reconstruction of vascular structures in retinal images

Bin Fang, Wynne Hsu, Mong Li Lee, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Finding Orientation-Sensitive Patterns in Snapshot Databases

Mong-Li Lee, Wynne Hsu, Minghua Zhang, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Mining Flow Patterns in Spatio-Temporal Data

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

The Methodology And Reliability Of Retinal Fractal Dimension Measurement Using A Novel Computer-assisted Method In An Indian Population

Wynne Hsu, Ryo Kawasaki, Tien Yin Wong, 2011 .

Cleaning the spurious links in data

Vijay H. Kothari, Mong-Li Lee, Wynne Hsu, 2004, IEEE Intelligent Systems.

Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach pdf

Mong-Li Lee, Wynne Hsu, Lahari Poddar, 2017, IJCAI.

Rewriting Queries for XML Integration Systems

Mong-Li Lee, Ling Li, Wynne Hsu, 2006, DEXA.

Approximate Manifold Defense Against Multiple Adversarial Perturbations

Wynne Hsu, Mong Li Lee, Jay Nandy, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Systematic assessment of high-throughput experimental data for reliable protein interactions using network topology

Mong-Li Lee, Jin Chen, See-Kiong Ng, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

Mining association rules with multiple minimum supports

Wynne Hsu, Yiming Ma, Bing Liu, 1999, KDD '99.

k-Consistent Influencers in Network Data

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2015, DASFAA.

Exploiting Domain Knowledge to Improve Biological Significance of Biclusters with Key Missing Genes

Jin Chen, Kian-Lee Tan, Wynne Hsu, 2009, 2009 IEEE 25th International Conference on Data Engineering.

Increasing confidence of protein-protein interactomes.

Mong-Li Lee, Limsoon Wong, See-Kiong Ng, 2006, Genome informatics. International Conference on Genome Informatics.

Efficient evaluation of multiple queries on streaming XML data

Mong-Li Lee, Kian-Lee Tan, Wynne Hsu, 2002, CIKM '02.

Tagcloud-based explanation with feedback for recommender systems

Mong-Li Lee, Wynne Hsu, Wei Chen, 2013, SIGIR.

Exploration mining in diabetic patients databases: findings and conclusions

Tok Wang Ling, Mong-Li Lee, Wynne Hsu, 2000, KDD '00.

Mitigating Misinformation in Online Social Network with Top-k Debunkers and Evolving User Opinions

Mong-Li Lee, Wynne Hsu, Loo-Nin Teow, 2020, WWW.

Mining mutation chains in biological sequences

Joo Chuan Tong, Mong-Li Lee, See-Kiong Ng, 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).

Image mining in IRIS: integrated retinal information system

Mong-Li Lee, Wynne Hsu, Kheng Guan Goh, 2000, SIGMOD '00.

Generative Data Augmentation for Diabetic Retinopathy Classification

Wynne Hsu, Mong Li Lee, Gilbert Lim, 2020, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Classifying Mobile-Phone Users With An Information Theory Approach ∗

Limsoon Wong, Yun Zheng, Wynne Hsu, 2006 .

Intermediate Goals in Deep Learning for Retinal Image Analysis

Mong-Li Lee, Wynne Hsu, Gilbert Lim, 2018, ACCV Workshops.

A Prüfer Based Approach to Process Top-k Queries in XML

Mong-Li Lee, Ling Li, Wynne Hsu, 2009, DEXA.

Correlation-Based Detection of Attribute Outliers

Mong-Li Lee, Wynne Hsu, Judice L. Y. Koh, 2007, DASFAA.

Prediction of Cerebral Aneurysm Rupture

Liang Chen, Mong-Li Lee, Wynne Hsu, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Fuzzy application in tolerance design

Wynne Hsu, C.S.G. Lee, W. Hsu, 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

Multi-level organization and summarization of the discovered rules

Wynne Hsu, Bing Liu, Minqing Hu, 2000, KDD '00.

Mining Sequence Patterns in Evolving Databases

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

Automated Optic Disc Localization and Contour Detection Using Ellipse Fitting and Wavelet Transform

Mong-Li Lee, Wynne Hsu, P. M. D. S. Pallawala, 2004, ECCV.

Simultaneously Identifying All True Vessels From Segmented Retinal Images

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2013, IEEE Transactions on Biomedical Engineering.

Answering Top-k Similar Region Queries

Xing Xie, Mong-Li Lee, Wynne Hsu, 2010, DASFAA.

Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2014, AAAI Workshop: Modern Artificial Intelligence for Health Analytics.

Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2018, ACCV Workshops.

Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences

Mong-Li Lee, Limsoon Wong, Yun Zheng, 2006, VDMB.

A framework for mining topological patterns in spatio-temporal databases

Mong-Li Lee, Wynne Hsu, Junmei Wang, 2005, CIKM '05.

Conceptual design: issues and challenges

Wynne Hsu, Bing Liu, 2000, Comput. Aided Des..

Clustering in Dynamic Spatial Databases

Ji Zhang, Mong-Li Lee, Wynne Hsu, 2005, Journal of Intelligent Information Systems.

A Prime Number Labeling Scheme for Dynamic Ordered XML Trees

Mong-Li Lee, Wynne Hsu, Xiaodong Wu, 2004, ICDE.

Tumor cell identification using features rules

Bin Fang, Mong-Li Lee, Wynne Hsu, 2002, KDD.

Analyzing the Subjective Interestingness of Association Rules

Wynne Hsu, Yiming Ma, Bing Liu, 2000, IEEE Intell. Syst..

A Histogram-Based Selectivity Estimator for Skewed XML Data

Mong-Li Lee, Wynne Hsu, Hanyu Li, 2005, DEXA.

The role of domain knowledge in the detection of retinal hard exudates

Mong-Li Lee, Wynne Hsu, P. M. D. S. Pallawala, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Upgrading links for performance

Andrew Lim, Wynne Hsu, Yoew Meng Chen, 1995, Proceedings of IEEE Singapore International Conference on Networks and International Conference on Information Engineering '95.

Tuple-Level Analysis for Identification of Interesting Patterns

Wynne Hsu, Bing Liu, Hing-Yan Lee, 1996 .

Automated Microaneurysm Segmentation and Detection using Generalized Eigenvectors

Mong-Li Lee, Wynne Hsu, Say Song Goh, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

Paradigm shift and the integrated feedback approach

Wynne Hsu, C. S. George Lee, 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs

Mong-Li Lee, Jin Chen, See-Kiong Ng, 2006, KDD '06.

Node Immunization over Infectious Period

Mong-Li Lee, Wynne Hsu, Chonggang Song, 2015, CIKM.

Mining Prevalence-Based Ratio Patterns

Mong-Li Lee, Wynne Hsu, Minghua Zhang, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Spatial data mining: clustering of hot spots and pattern recognition

Wynne Hsu, Seng Chuan Tay, Kim Hwa Lim, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

LinkNet: capturing temporal dependencies among spatial regions

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2014, Distributed and Parallel Databases.

Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2018, ACCV Workshops.

Utilizing users' tipping points in E-commerce Recommender systems

Mong-Li Lee, Wynne Hsu, Kailun Hu, 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).

Integrating Frequent Pattern Mining from Multiple Data Domains for Classification

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2012, 2012 IEEE 28th International Conference on Data Engineering.

Mining viewpoint patterns in image databases

Mong-Li Lee, Wynne Hsu, Jing Dai, 2003, KDD '03.

Synthesis of design concepts from a design for assembly perspective

Wynne Hsu, Y. H. Jerry Fuh, Y. F. Zhang, 1998 .

Visually Aided Exploration of Interesting Association Rules

Ke Wang, Wynne Hsu, Bing Liu, 1999, PAKDD.

An integrated color-spatial approach to content-based image retrieval

Tat-Seng Chua, Hung Keng Pung, Wynne Hsu, 1995, MULTIMEDIA '95.

Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews

Mong-Li Lee, Wynne Hsu, Lahari Poddar, 2017, EMNLP.

Building Trust in Deep Learning System towards Automated Disease Detection

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2019, AAAI.

Fast image retrieval using color-spatial information

Beng Chin Ooi, Tat-Seng Chua, Kian-Lee Tan, 1998, The VLDB Journal.

On the Detection of Retinal Vessels in Fundus Images

Bin Fang, Wynne Hsu, Mong Lee, 2003 .

Towards an optimal degree of design coupling through fuzzy analysis

Wynne Hsu, C. S. George Lee, C. S. Lee, 1999, J. Intell. Fuzzy Syst..

DESIGN OF MUTANT OPERATORS FOR THE C PROGRAMMING LANGUAGE

Wynne Hsu, Richard A. DeMillo, Aditya P. Mathur, 2006 .

SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning

Mong-Li Lee, Zongtian Liu, Wynne Hsu, 2002, PAKDD.

Automatic grading of retinal vessel caliber

Mong-Li Lee, Tien Yin Wong, Huiqi Li, 2005, IEEE Transactions on Biomedical Engineering.

Constrained-MSER detection of retinal pathology

Mong-Li Lee, Wynne Hsu, Gilbert Lim, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Technical and clinical challenges of A.I. in retinal image analysis

Tien Yin Wong, Wynne Hsu, Mong Li Lee, 2019, Computational Retinal Image Analysis.

Using Interval Association Rules to Identify Dubious Data Values

Mong-Li Lee, Wynne Hsu, Ren Lu, 2004, WAIM.

Patch-Level Regularizer for Convolutional Neural Network

Wynne Hsu, Mong Li Lee, Dejiang Xu, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Identifying Interesting Missing Patterns

Wynne Hsu, Bing Liu, Hing-Yan Lee, 1997 .

Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2019, AAAI.

Proceedings of the 17th international conference on Database Systems for Advanced Applications

Ge Yu, Wynne Hsu, Rainer Unland, 2012 .

Predicting Stances in Twitter Conversations for Detecting Veracity of Rumors: A Neural Approach

Mong-Li Lee, Wynne Hsu, Lahari Poddar, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Propagation Mechanism for Deep and Wide Neural Networks

Wynne Hsu, Mong Li Lee, Dejiang Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Using General Impressions to Analyze Discovered Classification Rules

Wynne Hsu, Bing Liu, Shu Chen, 1997, KDD.

Mining Dense Periodic Patterns in Time Series Data

Mong-Li Lee, Wynne Hsu, Chang Sheng, 2006, 22nd International Conference on Data Engineering (ICDE'06).

Mining in Spatiotemporal Databases

Mong-Li Lee, Wynne Hsu, Junmei Wang, 2005, Spatial Databases.

A CORBA Based QOS Support for Distributed Multimedia Applications

Lawrence Wai-Choong Wong, Hung Keng Pung, Wynne Hsu, 2004, Multimedia Tools and Applications.

Temporal and Spatio-temporal Data Mining

Wynne Hsu, Mong Li Lee, Junmei Wang, 2007 .

Feedback evaluation of assembly plans

Wynne Hsu, Shun-Feng Su, C. S. George Lee, 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

Finding Orientation-Sensitive Patterns in Snapshot Databases

Wynne Hsu, Mong Li Lee, Minghua Zhang, 2007 .

Distributed Coordination Guidance in Multi-agent Reinforcement Learning

Mong-Li Lee, Wynne Hsu, Qiangfeng Peter Lau, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

A Tree Matching Approach for the Temporal Registration of Retinal Images

Mong-Li Lee, Tien Yin Wong, Wynne Hsu, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

DeepDetect: An Extensible System for Detecting Attribute Outliers & Duplicates in XML

Wynne Hsu, Judice L. Y. Koh, Mong Li Lee, 2009 .

Scheduling multimedia applications under overload and non-deterministic conditions

Wynne Hsu, Teik Guan Tan, 1997, Proceedings Third IEEE Real-Time Technology and Applications Symposium.

Integrated Optic Disc and Cup Segmentation with Deep Learning

Yuan Cheng, Mong-Li Lee, Wynne Hsu, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Mining Changes for Real-Life Applications

Wynne Hsu, Bing Liu, Heng-Siew Han, 2000, DaWaK.

Labeling network motifs in protein interactomes for protein function prediction

Mong-Li Lee, Jin Chen, See-Kiong Ng, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

Twins: A Practical Vision-based 3D Mouse

Hung Keng Pung, Wynne Hsu, Sifang Li, 1998, Real Time Imaging.

Abnormality Detection in Retinal Images

Wynne Hsu, Tomás Lozano-Pérez, Yu Xiaoxue, 2004 .

2PXMiner: an efficient two pass mining of frequent XML query patterns

Mong-Li Lee, Liang Huai Yang, Wynne Hsu, 2004, KDD.

Image mining in IRIS: integrated retinal information system

Wynne Hsu, Mong Li Lee, Kheng Guan Goh, 2000, SIGMOD 2000.

Utilizing Purchase Intervals in Latent Clusters for Product Recommendation

Mong-Li Lee, Gang Zhao, Wynne Hsu, 2014, SNAKDD'14.

A Path-Based Labeling Scheme for Efficient Structural Join

Mong-Li Lee, Wynne Hsu, Hanyu Li, 2005, XSym.

Incorporating Duration Information for Trajectory Classification

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2012, 2012 IEEE 28th International Conference on Data Engineering.

XClust: clustering XML schemas for effective integration

Mong-Li Lee, Liang Huai Yang, Wynne Hsu, 2002, CIKM '02.

An Estimation System for XPath Expressions

Mong-Li Lee, Wynne Hsu, Gao Cong, 2006, 22nd International Conference on Data Engineering (ICDE'06).

Bayesian Classification

Wynne Hsu, W. Hsu, 2009, Encyclopedia of Database Systems.

Lag Patterns in Time Series Databases

Srinivasan Parthasarathy, Mong-Li Lee, Dhaval Patel, 2010, DEXA.

MAROON+: A System for Profiling Entities over Time

Mong-Li Lee, Furong Li, Wynne Hsu, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Mining Dense Periodic Patterns in Time Series Databases

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

Discovering Interesting Holes in Data

Wynne Hsu, Bing Liu, Liang-Ping Ku, 1997, IJCAI.

Post-Analysis of

Wynne Hsu, Bing Liu, 1996 .

Discovering Spatial Interaction Patterns

Anthony K. H. Tung, Mong-Li Lee, Wynne Hsu, 2008, DASFAA.

Techniques for temporal registration of retinal images

Bin Fang, Mong-Li Lee, Wynne Hsu, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Finding Interesting Patterns Using User Expectations

Wynne Hsu, Bing Liu, Hing-Yan Lee, 1999, IEEE Trans. Knowl. Data Eng..

Discovering reliable protein interactions from high-throughput experimental data using network topology

Mong-Li Lee, Jin Chen, See-Kiong Ng, 2005, Artif. Intell. Medicine.

Segmentation of Retinal Vessels Using Nonlinear Projections

Mong-Li Lee, Wynne Hsu, Yongping Zhang, 2007, 2007 IEEE International Conference on Image Processing.

Detecting Aggregate Incongruities in XML

Mong-Li Lee, Wynne Hsu, Qiangfeng Peter Lau, 2009, DASFAA.

Post-Analysis of Learned Rules

Wynne Hsu, Bing Liu, B. Liu, 1996, AAAI/IAAI, Vol. 1.

Approximating Content-Based Object-Level Image Retrieval

Tat-Seng Chua, Hung Keng Pung, Wynne Hsu, 2004, Multimedia Tools and Applications.

Efficient Mining of Lag Patterns in Evolving Time Series

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2013, Trans. Large Scale Data Knowl. Centered Syst..

A computer-aided product redesign system for robotic assembly

Andrew Lim, Wynne Hsu, C. S. George Lee, 1998, Robotica.

Domain knowledge to support the discovery process: user preferences

Wynne Hsu, Bing Liu, W. Hsu, 2002 .

A piecewise Gaussian model for profiling and differentiating retinal vessels

Mong-Li Lee, Huiqi Li, Wynne Hsu, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Inter- and Intra-Grader Reliability of Computer-Assisted Measurement of Retinal Vascular Geometry

Wynne Hsu, Ryo Kawasaki, Mong Li Lee, 2009 .

Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks

Mong-Li Lee, Wynne Hsu, Chonggang Song, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Time Series Mining: Background and Related Work

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

Computing Neck-Shaft Angle of Femur for X-Ray Fracture Detection

Ying Chen, Wynne Hsu, Wee Kheng Leow, 2003, CAIP.

ClaimFinder: A Framework for Identifying Claims in Microblogs

Mong-Li Lee, Wynne Hsu, Wee-Yong Lim, 2016, #Microposts.

Mong-Li Lee, Wynne Hsu, Shrikant Kashyap, 2011, DEXA.

Mining Brokers in Dynamic Social Networks

Mong-Li Lee, Wynne Hsu, Chonggang Song, 2015, CIKM.

Intuitive Representation of Decision Trees Using General Rules and Exceptions

Wynne Hsu, Bing Liu, Minqing Hu, 2000, AAAI/IAAI.

Proceedings of the 10th IEEE International Conference on Data Mining Workshops (ICDMW)

Xindong Wu, Chengqi Zhang, Dimitrios Gunopulos, 2010 .

Scaling SDI Systems via Query Clustering and Aggregation

Xi Zhang, Mong-Li Lee, Liang Huai Yang, 2004, DASFAA.

Path-augmented keyword search for XML documents

Xiaodong Wu, Mong-Li Lee, Wynne Hsu, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

BORDER: efficient computation of boundary points

Beng Chin Ooi, Mong-Li Lee, Wynne Hsu, 2006, IEEE Transactions on Knowledge and Data Engineering.

A Path-Based Approach for Efficient Structural Join with Not-Predicates

Mong-Li Lee, Ling Li, Wynne Hsu, 2007, DASFAA.

An evaluation of XML indexes for structural join

Mong-Li Lee, Chao Chen, Wynne Hsu, 2004, SGMD.

Business Process Optimization

Zhi-Hua Zhou, Goetz Graefe, Sameer Antani, 2002, Encyclopedia of Database Systems.

Advanced Database Technologies in a Diabetic Healthcare System

Beng Chin Ooi, Mong-Li Lee, Wynne Hsu, 2002, VLDB.

Remote homolog detection using local sequence–structure correlations

Wynne Hsu, Christopher Bystroff, Mong Li Lee, 2004, Proteins.

Community-based user recommendation in uni-directional social networks

Mong-Li Lee, Gang Zhao, Wynne Hsu, 2013, CIKM.

Target-Oriented Keyword Search over Temporal Databases

Mong-Li Lee, Wynne Hsu, Xianyan Jia, 2016, DEXA.

Mong-Li Lee, Wynne Hsu, Jay Nandy, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Discovering geographical-specific interests from web click data

Mong-Li Lee, Wynne Hsu, Chang Sheng, 2008, LocWeb.

Editorial

Paramvir Bahl, Valérie Issarny, Indrakshi Ray, 2018, IEEE Trans. Serv. Comput..

A Differential-Based Approach for Vessel Type Classification in Retinal Images

Mong-Li Lee, Wynne Hsu, Gilbert Lim, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Finding hot query patterns over an XQuery stream

Mong-Li Lee, Liang Huai Yang, Wynne Hsu, 2004, The VLDB Journal.

Order-sensitive clustering for remote homologous protein detection

Mong-Li Lee, Jin Chen, Wynne Hsu, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

FlowMiner: finding flow patterns in spatio-temporal databases

Mong-Li Lee, Wynne Hsu, Jason Tsong-Li Wang, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

A unified framework for recommendations based on quaternary semantic analysis

Mong-Li Lee, Wynne Hsu, Wei Chen, 2011, SIGIR.

FARM : Feature-Assisted Aggregate Route Mining in Trajectory Data

Mong-Li Lee, Wynne Hsu, Sujoy Roy, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Consistent Top-k Queries over Time

Wee Hyong Tok, Mong-Li Lee, Ling Li, 2009, DASFAA.

Inferring Topic-Level Influence from Network Data

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2014, DEXA.

Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples pdf

Wynne Hsu, Mong Li Lee, Jay Nandy, 2020, NeurIPS.

Profiling Entities over Time in the Presence of Unreliable Sources

Mong-Li Lee, Furong Li, Wynne Hsu, 2017, IEEE Transactions on Knowledge and Data Engineering.

Identification of MicroRNA Precursors via SVM

Mong-Li Lee, Limsoon Wong, Liang Huai Yang, 2006, APBC.

A Statistical Approach for XML Query Size Estimation

Beng Chin Ooi, Mong-Li Lee, Wynne Hsu, 2004, EDBT Workshops.

Modeling user's receptiveness over time for recommendation

Mong-Li Lee, Wynne Hsu, Wei Chen, 2013, SIGIR.

Early Works in Spatio-Temporal Mining

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

An integrated feedback for assembly auto-redesign system

Wynne Hsu, W. Hsu, 1994 .

Effective Detection of Retinal Exudates in Fundus Images

Huan Wang, Mong-Li Lee, Wynne Hsu, 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

Image Mining: Trends and Developments

Mong-Li Lee, Wynne Hsu, Ji Zhang, 2002, Journal of Intelligent Information Systems.

iFACT: An Interactive Framework to Assess Claims from Tweets

Mong-Li Lee, Wynne Hsu, Wee-Yong Lim, 2017, CIKM.

Detection of Retinal Blood Vessels Based on Nonlinear Projections

Mong-Li Lee, Wynne Hsu, Yongping Zhang, 2009, J. Signal Process. Syst..

Mining Spatio-Temporal Trees

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

Increasing temporal diversity with purchase intervals

Mong-Li Lee, Gang Zhao, Wynne Hsu, 2012, SIGIR '12.

Top-k Maximal Influential Paths in Network Data

Mong-Li Lee, Dhaval Patel, Wynne Hsu, 2012, DEXA.

Mining Topological Patterns in Spatio-Temporal Databases

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

Efficient pattern discovery for semistructured data

Mong-Li Lee, Wynne Hsu, Zhou Feng, 2005, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05).

Mining interesting knowledge using DM-II

Wynne Hsu, Yiming Ma, Bing Liu, 1999, KDD '99.

Mining progressive confident rules

Mong-Li Lee, Wynne Hsu, Minghua Zhang, 2006, KDD '06.

Coordination guided reinforcement learning

Mong-Li Lee, Wynne Hsu, Qiangfeng Peter Lau, 2012, AAMAS.

Artificial Intelligence using Deep Learning System for Glaucoma Suspect Detection

Tien Yin Wong, Wynne Hsu, Mong Li Lee, 2018 .

Mining Generalized Spatio-Temporal Patterns

Mong-Li Lee, Wynne Hsu, Junmei Wang, 2005, DASFAA.

Automatic generation of goal regions for assembly tasks in the presence of uncertainty

Wynne Hsu, Shun-Feng Su, C. S. George Lee, 1996, IEEE Trans. Robotics Autom..

Discovering Geographical Features for Location-Based Services

Mong-Li Lee, Wynne Hsu, Junmei Wang, 2004, DASFAA.

A Real-Time Monocular Vision Based 3D Mouse

Hung Keng Pung, Wynne Hsu, Sifang Li, 1997, CAIP.

ERkNN: efficient reverse k-nearest neighbors retrieval with local kNN-distance estimation

Mong-Li Lee, Wynne Hsu, Chenyi Xia, 2005, CIKM '05.

Finding Patterns in Image Databases

Wynne Hsu, Jing Dai, Mong Li Lee, 2005 .

Supporting Frequent Updates in R-Trees: A Bottom-Up Approach

Mong-Li Lee, Christian S. Jensen, Wynne Hsu, 2003, VLDB.

FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions

Mong-Li Lee, Wynne Hsu, Sandareka Wickramanayake, 2019, AAAI.

Mining Spatio-Temporal Graph Patterns

Wynne Hsu, Mong Li Lee, Junmei Wang, 2008 .

XML clustering by principal component analysis

Katherine G. Herbert, Wynne Hsu, Jason Tsong-Li Wang, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

Feedback approach to design for assembly by evaluation of assembly plan

Wynne Hsu, C. S. G. Lee, C.S.George Lee, 1993, Comput. Aided Des..

Increasing confidence of protein interactomes using network topological metrics

Mong-Li Lee, Jin Chen, See-Kiong Ng, 2006, Bioinform..

Mining in Spatio-Temporal Databases

Wynne Hsu, Mong Li Lee, Junmei Wang, 2005 .

Probabilistic Decision Modeling in Social Networks

Wynne Hsu, Mong Li Lee, Hai Leong Chieu, 2020, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Predicting User Reported Symptoms Using a Gated Neural Network

Wynne Hsu, Lahari Poddar, Mong Li Lee, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Rapid Prototyping with Constraints-based Scheduling for Multimedia Applications

Wynne Hsu, Teik Guan Tan, 2004, Multimedia Tools and Applications.

Interactive scheduling supports for real-time multimedia execution

Wynne Hsu, Teik Guan Tan, 1997, Proceedings of IEEE International Conference on Multimedia Computing and Systems.

Approximate Counting of Frequent Query Patterns over XQuery Stream

Mong-Li Lee, Liang Huai Yang, Wynne Hsu, 2004, DASFAA.

Learning Semantically Meaningful Features for Interpretable Classifications pdf

Wynne Hsu, Mong Li Lee, Sandareka Wickramanayake, 2021, ArXiv.

Entity profiling with varying source reliabilities

Mong-Li Lee, Furong Li, Wynne Hsu, 2014, KDD.

Efficient Mining of XML Query Patterns for Caching

Mong-Li Lee, Liang Huai Yang, Wynne Hsu, 2003, VLDB.

Analyzing Abnormal Events from Spatio-temporal Trajectories

Mohan S. Kankanhalli, Mong-Li Lee, Dhaval Patel, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Improving Evidence Retrieval for Automated Explainable Fact-Checking

Wynne Hsu, Chris Samarinas, Mong Li Lee, 2021, NAACL.

Recurrent Temporal Point Process Network for First and Repeated Clinical Events

Wynne Hsu, Min Min Chan, Amanda Yun Rui Lam, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

Wynne Hsu, Mong Li Lee, Ngiap Chuan Tan, 2021, BMC Medical Informatics and Decision Making.

Comprehensible Convolutional Neural Networks via Guided Concept Learning

Wynne Hsu, Mong Li Lee, Sandareka Wickramanayake, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Covariate Shift Adaptation for Adversarially Robust Classifier

Xiao Xiang Zhu, Wynne Hsu, Mong Li Lee, 2021 .

Adversarially Trained Models with Test-Time Covariate Shift Adaptation

Xiao Xiang Zhu, Wynne Hsu, Mong Li Lee, 2021 .

Wynne Hsu, Mong Li Lee, Andrew Hao Sen Fang, 2021, BMC Medical Informatics and Decision Making.

Adversarially Robust Classifier with Covariate Shift Adaptation pdf

Sudipan Saha, Xiao Xiang Zhu, Wynne Hsu, 2021, ArXiv.

Repurpose Image Identification for Fake News Detection

Wynne Hsu, Tangqing Li, Steven Jia He Lee, 2021, DEXA.

Classification with Dynamic Data Augmentation

Wynne Hsu, Mong-Li Lee, Dejiang Xu, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

Emotion-Aware Event Summarization in Microblogs

Wynne Hsu, Rrubaa Panchendrarajan, Mong-Li Lee, 2021, WWW.

Towards Fully Interpretable Deep Neural Networks: Are We There Yet? pdf

Wynne Hsu, Mong Li Lee, Sandareka Wickramanayake, 2021, ArXiv.

Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies

Wynne Hsu, Marcus Eng Hock Ong, Bibhas Chakraborty, 2021, J. Biomed. Informatics.

Distributional Shifts In Automated Diabetic Retinopathy Screening pdf

Wynne Hsu, Mong Li Lee, Jay Nandy, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Retinal Vascular Fractal Dimension Measurement and Its Influence from Imaging Variation: Results of Two Segmentation Methods

Tien Yin Wong, Wynne Hsu, Mong Li Lee, 2010, Current eye research.

Current and Future Research in the Conceptual Design of Mechanical Products

Wynne Hsu, Irene M. Y. Woon, W. Hsu, 1999 .

Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.

Tien Yin Wong, Wynne Hsu, Mong Li Lee, 2019, The Lancet. Digital health.

Alterations in Retinal Microvascular Geometry in Young Type 1 Diabetes

Wynne Hsu, Muhammad Bayu Sasongko, Ning Cheung, 2010, Diabetes Care.

Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study

Tien Yin Wong, Ecosse Lamoureux, Wynne Hsu, 2019, npj Digital Medicine.

Are Computer-assisted programs for measuring Retinal Vascular Caliber Interchangeable?

Tien Yin Wong, Wynne Hsu, Mong Li Lee, 2012 .

Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application

Wynne Hsu, Mong Li Lee, Adnan Tufail, 2019, Current Diabetes Reports.

Effect of image quality, color, and format on the measurement of retinal vascular fractal dimension.

Tien Yin Wong, Wynne Hsu, Paul Mitchell, 2010, Investigative ophthalmology & visual science.

Fractal analysis of retinal microvasculature and coronary heart disease mortality.

Tien Yin Wong, Wynne Hsu, Mong Li Lee, 2011, European heart journal.

" Integrating Classification and Association Rule Mining " [ Paper Review

Wynne Hsu, W. Hsu, 2003 .