2025
Unveiling the Hidden Interactions Among Features: A Heterogeneous Graph Approach for Personality Prediction.
Mach. Intell. Res., February, 2025
A Fusion Pretrained Approach for Identifying the Cause of Sarcasm Remarks.
INFORMS J. Comput., 2025
Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Graph Representation Learning Based on Cognitive Spreading Activations.
IEEE Trans. Knowl. Data Eng., December, 2024
Mining the User's Personality With an Attention-Based Label Prompt Method.
IEEE Intell. Syst., 2024
A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
2023
Identifying Topic and Cause for Sarcasm: An Unsupervised Knowledge-enhanced Prompt Method.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
A Two-Stage Prompt Learning Method for Jointly Predicting Topic and Personality.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023
Style-Driven Multi-Perspective Relevance Mining Model for Hotspot Reprint Paragraph Prediction.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023
A Mutually Enhanced Bidirectional Approach for Jointly Mining User Demand and Sentiment (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Detecting Product Adoption Intentions via Multiview Deep Learning.
INFORMS J. Comput., 2022
Entity Matters in News: An Association Network-Enhanced Method for News Reprint Prediction.
IEEE Intell. Syst., 2022
A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics.
Proceedings of the International Joint Conference on Neural Networks, 2022
A Transformer-based Approach for Identifying Target-oriented Opinions from Travel Reviews.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
A Multi-level Semantic Fusion Approach for News Reprint Pattern Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021
A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Understanding and Predicting Users' Rating Behavior: A Cognitive Perspective.
INFORMS J. Comput., 2020
Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Prior Knowledge Based Neural Attention Model for Opioid Topic Identification.
Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019
Inferring Users' Usage Patterns for Drug Abuse Surveillance.
Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019
Analyzing Topics of JUUL Discussions on Social Media Using a Semantics-assisted NMF model.
Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019
A Novel Neural Approach for News Reprint Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019
Multimodal Data Enhanced Representation Learning for Knowledge Graphs.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Catching Dynamic Heterogeneous User Data for Identity Linkage Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Understanding of Users' Response to the Intervention of FDA's New Deeming Rules in Twitter.
Proceedings of the 2nd International Conference on Medical and Health Informatics, 2018
A Novel Embedding Method for News Diffusion Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective.
IEEE Trans. Knowl. Data Eng., 2017
Mining phase evolution for hot topics: A case study from multiple social media platforms.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Mapping users across social media platforms by integrating text and structure information.
Proceedings of the 2017 IEEE International Conference on Intelligence and Security Informatics, 2017
Incorporating message embedding into co-factor matrix factorization for retweeting prediction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems.
Knowl. Based Syst., 2016
Jointly Modeling Review Content and Aspect Ratings for Review Rating Prediction.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Predicting user's multi-interests with network embedding in health-related topics.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Filtering spam in Weibo using ensemble imbalanced classification and knowledge expansion.
Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 2015
2014
Extracting evolutionary communities in community question answering.
J. Assoc. Inf. Sci. Technol., 2014
Entity attribute discovery and clustering from online reviews.
Frontiers Comput. Sci., 2014
2013
User community discovery from multi-relational networks.
Decis. Support Syst., 2013
A new temporal and social PMF-based method to predict users' interests in micro-blogging.
Decis. Support Syst., 2013
The Powerful Model Adpredictor for Search Engine Switching Detection Challenge
CoRR, 2013
Label Micro-blog Topics Using the Bayesian Inference Method.
Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2013
2012
A graph-based action network framework to identify prestigious members through member's prestige evolution.
Decis. Support Syst., 2012
Detecting dynamic association among twitter topics.
Proceedings of the 21st World Wide Web Conference, 2012
How shall we catch people's concerns in micro-blogging?
Proceedings of the 21st World Wide Web Conference, 2012
Detecting popular topics in micro-blogging based on a user interest-based model.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
When Multivariate Forecasting Meets Unsupervised Feature Learning - Towards a Novel Anomaly Detection Framework for Decision Support.
Proceedings of the International Conference on Information Systems, 2012
Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
2011
Mining Evolutionary Topic Patterns in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Part A, 2011
A recommender system based on tag and time information for social tagging systems.
Expert Syst. Appl., 2011
QuestionHolic: Hot topic discovery and trend analysis in community question answering systems.
Expert Syst. Appl., 2011
Personalized search on Flickr based on searcher's preference prediction.
Proceedings of the 20th International Conference on World Wide Web, 2011
2010
Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr.
J. Inf. Sci., 2010
Fine-grained opinion mining by integrating multiple review sources.
J. Assoc. Inf. Sci. Technol., 2010
Mining Fine Grained Opinions by Using Probabilistic Models and Domain Knowledge.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010
Flickr group recommendation based on tensor decomposition.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Evolutionary Community Discovery from Dynamic Multi-relational CQA Networks.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010
Understanding a Celebrity with His Salient Events.
Proceedings of the Active Media Technology, 6th International Conference, 2010
A Spatio-temporal Framework for Related Topic Search in Micro-Blogging.
Proceedings of the Active Media Technology, 6th International Conference, 2010
Exploiting Semantic Hierarchies for Flickr Group.
Proceedings of the Active Media Technology, 6th International Conference, 2010
2009
AMAZING: A sentiment mining and retrieval system.
Expert Syst. Appl., 2009
Link based small sample learning for web spam detection.
Proceedings of the 18th International Conference on World Wide Web, 2009
2008
Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications.
Decis. Support Syst., 2008
Improving personalized services in mobile commerce by a novel multicriteria rating approach.
Proceedings of the 17th International Conference on World Wide Web, 2008
Improving web spam detection with re-extracted features.
Proceedings of the 17th International Conference on World Wide Web, 2008
A Unified Framework for Opinion Retrieval.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
A no reference image quality assessment method for JPEG2000.
Proceedings of the International Joint Conference on Neural Networks, 2008
An opinion search system for consumer products.
Proceedings of the International Joint Conference on Neural Networks, 2008
An integration strategy for mining product features and opinions.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
Improving Spamdexing Detection Via a Two-Stage Classification Strategy.
Proceedings of the Information Retrieval Technology, 2008
2007
A novel collaborative filtering-based framework for personalized services in m-commerce.
Proceedings of the 16th International Conference on World Wide Web, 2007
Providing Personalized Services for HWME System by Item-Based Collaborative Filtering.
Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2007
A Concept Lattice-Based Kernel Method for Mining Knowledge in an M-Commerce System.
Proceedings of the Advances in Neural Networks, 2007
Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
Fighting Link Spam with a Two-Stage Ranking Strategy.
Proceedings of the Advances in Information Retrieval, 2007
2006
A Clustering Model for Mining Consumption Patterns from Imprecise Electric Load Time Series Data.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
2005
A Bayesian Network-Based Framework for Personalization in Mobile Commerce Applications.
Commun. Assoc. Inf. Syst., 2005