Raymond Y. K. Lau

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 65

Top Venues

Publications

Mingzhi Wang, Chunshan Li, Xiaofei Yang, Dianhui Chu, Zhiquan Zhou, Raymond Y. K. Lau
QTU-Net: Quaternion Transformer-Based U-Net for Water Body Extraction of RGB Satellite Image. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yongxiang Zhang, Raymond Y. K. Lau, Jingjun (David) Xu, Yanghui Rao, Yuefeng Li
Business chatbots with deep learning technologies: state-of-the-art, taxonomies, and future research directions. Artif. Intell. Rev. 57 (5) (2024)
Bei Luo, Raymond Y. K. Lau, Chunping Li
Emotion-regulatory chatbots for enhancing consumer servicing: An interpersonal emotion management approach. Inf. Manag. 60 (5) (2023)
Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract). ICDE (2023)
Haopeng Ren, Yi Cai, Raymond Y. K. Lau, Ho-fung Leung, Qing Li
Granularity-Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation Classification. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yufu Chen, Yanghui Rao, Shurui Chen, Zhiqi Lei, Haoran Xie, Raymond Y. K. Lau, Jian Yin
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Kai Yang, Raymond Y. K. Lau, Ahmed Abbasi
Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality. Inf. Syst. Res. 34 (1) (2023)
Xiaolu Zhang, Raymond Y. K. Lau
Leveraging Emotional Features and Machine Learning for Predicting Startup Funding Success. TENCON (2023)
Kai Yang, Hui Yuan, Raymond Y. K. Lau
PsyCredit: An interpretable deep learning-based credit assessment approach facilitated by psychometric natural language processing. Expert Syst. Appl. 198 (2022)
Qiping Wang, Ling Luo, Haoran Xie, Yanghui Rao, Raymond Y. K. Lau, Detian Zhang
A deep data augmentation framework based on generative adversarial networks. Multim. Tools Appl. 81 (29) (2022)
Bei Luo, Raymond Y. K. Lau, Chunping Li, Yain-Whar Si
A critical review of state-of-the-art chatbot designs and applications. WIREs Data Mining Knowl. Discov. 12 (1) (2022)
Runtao Ren, Jinqi Su, Ban Yang, Raymond Y. K. Lau, Qilei Liu
Novel Low-Power Construction of Chaotic S-Box in Multilayer Perceptron. Entropy 24 (11) (2022)
Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Han Zhang, Zongxi Li, Haoran Xie, Raymond Y. K. Lau, Gary Cheng, Qing Li, Dian Zhang
Leveraging statistical information in fine-grained financial sentiment analysis. World Wide Web 25 (2) (2022)
Tao Wang, Yi Cai, Ho-fung Leung, Raymond Y. K. Lau, Haoran Xie, Qing Li
On entropy-based term weighting schemes for text categorization. Knowl. Inf. Syst. 63 (9) (2021)
Wenda He, Raymond Y. K. Lau
A Hybrid Deep Learning Model for Emotion Detection in Emotion-sensitive Robo-advisors. IDSTA (2021)
Md. Ileas Pramanik, Raymond Y. K. Lau, Md. Sakir Hossain, Md-Mizanur Rahoman, Sumon Kumar Debnath, Md. Golam Rashed, Md. Zasim Uddin
Privacy preserving big data analytics: A critical analysis of state-of-the-art. WIREs Data Mining Knowl. Discov. 11 (1) (2021)
Md. Ileas Pramanik, Raymond Y. K. Lau, Md. Abul Kalam Azad, Md. Sakir Hossain, Md. Kamal Hossain Chowdhury, B. K. Karmaker
Healthcare informatics and analytics in big data. Expert Syst. Appl. 152 (2020)
Xiaofei Yang, Xiaofeng Zhang, Yunming Ye, Raymond Y. K. Lau, Shijian Lu, Xutao Li, Xiaohui Huang
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification. Remote. Sens. 12 (12) (2020)
Qiping Wang, Raymond Y. K. Lau, Kai Yang
Does the interplay between the personality traits of CEOs and CFOs influence corporate mergers and acquisitions intensity? An econometric analysis with machine learning-based constructs. Decis. Support Syst. 139 (2020)
Hamid Khobzi, Raymond Y. K. Lau, Terence Chun-Ho Cheung
The outcome of online social interactions on Facebook pages: A study of user engagement behavior. Internet Res. 29 (1) (2019)
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley
On the Effectiveness of Least Squares Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41 (12) (2019)
Wenping Zhang, Hui Yuan, Wei Xu, Raymond Y. K. Lau
Hospital Reliability Evaluation in Chinese Context: A Study from the Decision Theory Perspective. ICIS (2019)
Yi Cai, Haoran Xie, Raymond Y. K. Lau, Qing Li, Tak-Lam Wong, Fu Lee Wang
Temporal event searches based on event maps and relationships. Appl. Soft Comput. 85 (2019)
Kai Yang, Raymond Y. K. Lau
Detecting Senior Executives' Personalities for Predicting Corporate Behaviors: An Attention-based Deep Learning Approach. ICIS (2019)
Kai Yang, Yi Cai, Ho-fung Leung, Raymond Y. K. Lau, Qing Li
ITWF: A framework to apply term weighting schemes in topic model. Neurocomputing 350 (2019)
Qiping Wang, Raymond Y. K. Lau
The Impact of Investors' Surprise Emotion on Post-M&A Performance: A Social Media Analytics Approach. ICIS (2019)
Xiaofei Yang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. IEEE Trans. Geosci. Remote. Sens. 57 (9) (2019)
Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du
Anchor Link Prediction across Attributed Networks via Network Embedding. Entropy 21 (3) (2019)
Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu Lee Wang
Stock Prediction via Sentimental Transfer Learning. IEEE Access 6 (2018)
Xiangsheng Li, Yanghui Rao, Haoran Xie, Yufu Chen, Raymond Y. K. Lau, Fu Lee Wang, Jian Yin
Learning Dual Preferences with Non-negative Matrix Tri-Factorization for Top-N Recommender System. DASFAA (1) (2018)
Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau
Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wirel. Commun. Mob. Comput. 2018 (2018)
Hui Yuan, Raymond Y. K. Lau, Michael C. S. Wong, Chunping Li
Mining Emotions of the Public from Social Media for Enhancing Corporate Credit Rating. ICEBE (2018)
Xiaofei Yang, Yunming Ye, Xutao Li, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang
Hyperspectral Image Classification With Deep Learning Models. IEEE Trans. Geosci. Remote. Sens. 56 (9) (2018)
Hui Yuan, Raymond Y. K. Lau, Wei Xu, Zhaokang Pan, Michael C. S. Wong
Mining Individuals' Behavior Patterns from Social Media for Enhancing Online Credit Scoring. PACIS (2018)
Haoran Xie, Debby Dan Wang, Yanghui Rao, Tak-Lam Wong, Raymond Y. K. Lau, Li Chen, Fu Lee Wang
Incorporating user experience into critiquing-based recommender systems: a collaborative approach based on compound critiquing. Int. J. Mach. Learn. Cybern. 9 (5) (2018)
Hui Yuan, Wei Xu, Qian Li, Raymond Y. K. Lau
Topic sentiment mining for sales performance prediction in e-commerce. Ann. Oper. Res. 270 (1-2) (2018)
Yuefeng Li, Libiao Zhang, Yue Xu, Yiyu Yao, Raymond Y. K. Lau, Yutong Wu
Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions (Extended Abstract). ICDE (2018)
Weiming Liang, Haoran Xie, Yanghui Rao, Raymond Y. K. Lau, Fu Lee Wang
Universal affective model for Readers' emotion classification over short texts. Expert Syst. Appl. 114 (2018)
Yang Gao, Yuefeng Li, Raymond Y. K. Lau, Yue Xu, Md. Abul Bashar
Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model. ACM Trans. Intell. Syst. Technol. 9 (1) (2017)
Raymond Y. K. Lau
Toward a social sensor based framework for intelligent transportation. WoWMoM (2017)
Shaokai Wang, Yunming Ye, Xutao Li, Xiaohui Huang, Raymond Y. K. Lau
Semi-supervised Collective Classification in Multi-attribute Network Data. Neural Process. Lett. 45 (1) (2017)
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley
On the Effectiveness of Least Squares Generative Adversarial Networks. CoRR (2017)
Xiangsheng Li, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang
Bootstrapping Social Emotion Classification with Semantically Rich Hybrid Neural Networks. IEEE Trans. Affect. Comput. 8 (4) (2017)
Md. Ileas Pramanik, Raymond Y. K. Lau, Haluk Demirkan, Md. Abul Kalam Azad
Smart health: Big data enabled health paradigm within smart cities. Expert Syst. Appl. 87 (2017)
Jiangning He, Hongyan Liu, Raymond Y. K. Lau, Jun He
Relationship Identification Across Heterogeneous Online Social Networks. Comput. Intell. 33 (3) (2017)
Md. Ileas Pramanik, Raymond Y. K. Lau, Wei T. Yue, Yunming Ye, Chunping Li
Big data analytics for security and criminal investigations. WIREs Data Mining Knowl. Discov. 7 (4) (2017)
Shaokai Wang, Eric Ke Wang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaolin Du
Multi-view learning via multiple graph regularized generative model. Knowl. Based Syst. 121 (2017)
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley
Least Squares Generative Adversarial Networks. ICCV (2017)
Md. Ileas Pramanik, Wenping Zhang, Raymond Y. K. Lau, Chunping Li
A Framework for Criminal Network Analysis Using Big Data. ICEBE (2016)
Xiaolin Du, Yunming Ye, Raymond Y. K. Lau, Yueping Li, Xiaohui Huang
Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media. Multim. Tools Appl. 75 (12) (2016)
Liqiao Zhang, Hui Yuan, Raymond Y. K. Lau
Predicting and Visualizing Consumer Sentiments in Online Social Media. ICEBE (2016)
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang
Multi-class Generative Adversarial Networks with the L2 Loss Function. CoRR (2016)
Hui Yuan, Raymond Y. K. Lau, Wei Xu
The determinants of crowdfunding success: A semantic text analytics approach. Decis. Support Syst. 91 (2016)
Md. Ileas Pramanik, Raymond Y. K. Lau, Wenping Zhang
K-Anonymity through the Enhanced Clustering Method. ICEBE (2016)
Md. Ileas Pramanik, Raymond Y. K. Lau, Wei T. Yue
A Privacy Preserving Framework for Big Data in E-Government. PACIS (2016)
Yi Cai, Wen-Hao Chen, Ho-fung Leung, Qing Li, Haoran Xie, Raymond Y. K. Lau, Huaqing Min, Fu Lee Wang
Context-aware ontologies generation with basic level concepts from collaborative tags. Neurocomputing 208 (2016)
Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y. K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. Inf. Process. Manag. 52 (1) (2016)
Xiaohui Huang, Yunming Ye, Liyan Xiong, Raymond Y. K. Lau, Nan Jiang, Shaokai Wang
Time series k-means: A new k-means type smooth subspace clustering for time series data. Inf. Sci. (2016)
Kai Yang, Yi Cai, Zhenhong Chen, Ho-fung Leung, Raymond Y. K. Lau
Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation. COLING (2016)
Raymond Y. K. Lau, J. Leon Zhao, Guoqing Chen, Xunhua Guo
Big data commerce. Inf. Manag. 53 (8) (2016)
Ge Song, Yunming Ye, Haijun Zhang, Xiaofei Xu, Raymond Y. K. Lau, Feng Liu
Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift. Inf. Sci. 357 (2016)
Haoran Xie, Di Zou, Raymond Y. K. Lau, Fu Lee Wang, Tak-Lam Wong
Generating Incidental Word-Learning Tasks via Topic-Based and Load-Based Profiles. IEEE Multim. 23 (1) (2016)
Jie Zhao, Raymond Y. K. Lau, Wenping Zhang, Kaihang Zhang, Xu Chen, Deyu Tang
Extracting and reasoning about implicit behavioral evidences for detecting fraudulent online transactions in e-Commerce. Decis. Support Syst. 86 (2016)
Md. Ileas Pramanik, Raymond Y. K. Lau, Md. Kamal Hossain Chowdhury
Automatic Crime Detector: A Framework for Criminal Pattern Detection in Big Data Era. PACIS (2016)
Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau
Predictive [Guest editors' introduction]. IEEE Intell. Syst. 30 (2) (2015)
Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau
Predictive Analytics: Predictive Modeling at the Micro Level. IEEE Intell. Syst. 30 (3) (2015)
Xiaolin Du, Yunming Ye, Raymond Y. K. Lau, Yueping Li
OpinionRings: Inferring and visualizing the opinion tendency of socially connected users. Decis. Support Syst. 75 (2015)
Di Wu, Chunping Li, Raymond Y. K. Lau
Topic Based Information Diffusion Prediction Model with External Trends. ICEBE (2015)
Yang Yang, Shuyue Hu, Yi Cai, Qing Du, Ho-fung Leung, Raymond Y. K. Lau
Exploring Reviews and Ratings on Reviews for Personalized Search. ICWL Workshops (2015)
Raymond Y. K. Lau, J. Leon Zhao, Wenping Zhang, Yi Cai, Eric W. T. Ngai
Learning Context-Sensitive Domain Ontologies from Folksonomies: A Cognitively Motivated Method. INFORMS J. Comput. 27 (3) (2015)
Shaokai Wang, Yunming Ye, Raymond Y. K. Lau
A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering. ICIC (3) (2015)
Ahmed Abbasi, Raymond Y. K. Lau, Donald E. Brown
Predicting Behavior. IEEE Intell. Syst. 30 (3) (2015)
Shaokun Fan, Raymond Y. K. Lau, J. Leon Zhao
Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix. Big Data Res. 2 (1) (2015)
Kaiquan Xu, Stephen Shaoyi Liao, Raymond Y. K. Lau, J. Leon Zhao
Effective Active Learning Strategies for the Use of Large-Margin Classifiers in Semantic Annotation: An Optimal Parameter Discovery Perspective. INFORMS J. Comput. 26 (3) (2014)
Yi Cai, Raymond Y. K. Lau, Stephen S. Y. Liao, Chunping Li, Ho-fung Leung, Louis C. K. Ma
Object typicality for effective Web of Things recommendations. Decis. Support Syst. 63 (2014)
Tao Wang, Yi Cai, Ho-fung Leung, Raymond Y. K. Lau, Qing Li, Huaqing Min
Product aspect extraction supervised with online domain knowledge. Knowl. Based Syst. 71 (2014)
Yunqing Xia, Haizhou Lin, Raymond Y. K. Lau, Yi Liu
Leaning to Train: Linking Financial News Articles to Company Short Names. ICEBE (2014)
Raymond Y. K. Lau, Chunping Li, Stephen S. Y. Liao
Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis. Decis. Support Syst. 65 (2014)
Raymond Y. K. Lau, Yunqing Xia, Yunming Ye
A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media. IEEE Comput. Intell. Mag. 9 (1) (2014)
Wenping Zhang, Raymond Y. K. Lau, Chunping Li
Adaptive Big Data Analytics for Deceptive Review Detection in Online Social Media. ICIS (2014)
Long Song, Raymond Y. K. Lau, Chunxiao Yin
Discriminative Topic Mining for Social Spam Detection. PACIS (2014)
Ziang Li, Wei Xu, Likuan Zhang, Raymond Y. K. Lau
An ontology-based Web mining method for unemployment rate prediction. Decis. Support Syst. 66 (2014)
Yunqing Xia, Weifeng Su, Raymond Y. K. Lau, Yi Liu
Discovering latent commercial networks from online financial news articles. Enterp. Inf. Syst. 7 (3) (2013)
Wenping Zhang, Raymond Y. K. Lau, Yunqing Xia, Chunping Li, Wenjie Li
Latent Business Networks Mining: A Probabilistic Generative Model. Web Intelligence (2012)
Yuefeng Li, Xujuan Zhou, Peter Bruza, Yue Xu, Raymond Y. K. Lau
A two-stage decision model for information filtering. Decis. Support Syst. 52 (3) (2012)
Wenping Zhang, Raymond Y. K. Lau, Stephen S. Y. Liao, Ron Chi-Wai Kwok
A Probabilistic Generative Model for Latent Business Networks Mining. ICIS (2012)
Xiaohui Tao, Yuefeng Li, Raymond Y. K. Lau, Hua Wang
Unsupervised Multi-label Text Classification Using a World Knowledge Ontology. PAKDD (1) (2012)
Wenping Zhang, Yi Cai, Raymond Y. K. Lau, Stephen S. Y. Liao, Ron Chi-Wai Kwok
Semi-Supervised Text Mining For Dynamic Business Network Discovery. PACIS (2012)
Kaiquan Xu, Xitong Guo, Jiexun Li, Raymond Y. K. Lau, Stephen Shaoyi Liao
Discovering target groups in social networking sites: An effective method for maximizing joint influential power. Electron. Commer. Res. Appl. 11 (4) (2012)
Huan Zhao, Yunqing Xia, Raymond Y. K. Lau, Yi Liu
Word sentiment polarity disambiguition based on opinion level context. ICMLC (2012)
Yunhong Xu, Xitong Guo, Jinxing Hao, Jian Ma, Raymond Y. K. Lau, Wei Xu
Combining social network and semantic concept analysis for personalized academic researcher recommendation. Decis. Support Syst. 54 (1) (2012)
Yi Cai, Hong-Ke Zhao, Hao Han, Raymond Y. K. Lau, Ho-fung Leung, Huaqing Min
Answering Typicality Query Based on Automatically Prototype Construction. Web Intelligence (2012)
Long Song, Raymond Y. K. Lau, Yunqing Xia
A novel fraudulent transaction detection model for enhanced reputation management at e-markets. ICMLC (2012)
Raymond Y. K. Lau, L. Song
Mining fuzzy ontology for fuzzy granular IR systems. FUZZ-IEEE (2012)
Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y. K. Lau
Pattern Mining for a Two-Stage Information Filtering System. PAKDD (1) (2011)
Xin Yan, Raymond Y. K. Lau, Dawei Song, Xue Li, Jian Ma
Toward a semantic granularity model for domain-specific information retrieval. ACM Trans. Inf. Syst. 29 (3) (2011)
Raymond Y. K. Lau, Stephen Shaoyi Liao, Ron Chi-Wai Kwok, Kaiquan Xu, Yunqing Xia, Yuefeng Li
Text mining and probabilistic language modeling for online review spam detection. ACM Trans. Manag. Inf. Syst. 2 (4) (2011)
Raymond Y. K. Lau, Chapmann C. L. Lai, Yuefeng Li
Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making. Int. J. Comput. Intell. Syst. 4 (1) (2011)
Raymond Y. K. Lau, Wenping Zhang, Peter D. Bruza, Kam-Fai Wong
Learning Domain-Specific Sentiment Lexicons for Predicting Product Sales. ICEBE (2011)

Raymond Y. K. Lau.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Raymond Y. K. Lau