2025
Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition.
CoRR, April, 2025
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models.
CoRR, January, 2025
FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations.
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Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
2024
Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
Contrastive Learning with Auxiliary User Detection for Identifying Activities.
Proceedings of the International Conference on Machine Learning and Applications, 2024
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Alleviating Confounding Effects with Contrastive Learning in Recommendation.
Proceedings of the Advances in Information Retrieval, 2024
ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2024
Context-Aware Diffusion-based Sequential Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2024
Empowering Large Language Models for Textual Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.
CoRR, 2023
Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
What Boosts Fake News Dissemination on Social Media? A Causal Inference View.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Toward Designing Effective Warning Labels for Health Misinformation on Social Media.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Multi-Behavior Recommendation with Hyperbolic Geometry.
Proceedings of the IEEE International Conference on Big Data, 2022
Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection.
Proceedings of the IEEE International Conference on Big Data, 2022
Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
Popularity versus quality: analyzing and predicting the success of highly rated crowdfunded projects on Amazon.
Computing, 2021
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
An Effective, Robust and Fairness-aware Hate Speech Detection Framework.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning.
Proceedings of the Social Informatics - 12th International Conference, 2020
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Regression-Based Network Estimation for High-Dimensional Genetic Data.
J. Comput. Biol., 2019
Signed Distance-based Deep Memory Recommender.
Proceedings of the World Wide Web Conference, 2019
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
A High Speed Solar MPPT Controller Design.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Detecting Fake News Articles.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Building a task blacklist for online social platforms.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
A Comparison of Penalized Regressions for Estimating Directed Acyclic Networks.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Predicting Highly Rated Crowdfunded Products.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Understanding Temporal Backing Patterns in Online Crowdfunding Communities.
Proceedings of the 2017 ACM on Web Science Conference, 2017
Characteristics of On-Time and Late Reward Delivery Projects.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
MRAttractor: Detecting communities from large-scale graphs.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Revealing and Detecting Malicious Retweeter Groups.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Identifying On-time Reward Delivery Projects with Estimating Delivery Duration on Kickstarter.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2016
Detecting experts on Quora: by their activity, quality of answers, linguistic characteristics and temporal behaviors.
Soc. Netw. Anal. Min., 2016
How to Succeed in Crowdfunding: a Long-Term Study in Kickstarter.
CoRR, 2016
Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches.
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Uncovering Fake Likers in Online Social Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Understanding citizen reactions and Ebola-related information propagation on social media.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
Detecting malicious campaigns in crowdsourcing platforms.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information.
ACM Trans. Intell. Syst. Technol., 2015
Characterizing and automatically detecting crowdturfing in Fiverr and Twitter.
Soc. Netw. Anal. Min., 2015
Uncovering Crowdsourced Manipulation of Online Reviews.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace.
Proceedings of the Ninth International Conference on Web and Social Media, 2015
A Long-Term Study of a Crowdfunding Platform: Predicting Project Success and Fundraising Amount.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015
Organic or Organized?: Exploring URL Sharing Behavior.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Social spam, campaigns, misinformation and crowdturfing.
Proceedings of the 23rd International World Wide Web Conference, 2014
Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014
The Dark Side of Micro-Task Marketplaces: Characterizing Fiverr and Automatically Detecting Crowdturfing.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014
Recommending prime spots of a destination and time to visit from geo-tagged social data.
Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, 2014
2013
Campaign extraction from social media.
ACM Trans. Intell. Syst. Technol., 2013
A content-driven framework for geolocating microblog users.
ACM Trans. Intell. Syst. Technol., 2013
Spatio-temporal dynamics of online memes: a study of geo-tagged tweets.
Proceedings of the 22nd International World Wide Web Conference, 2013
Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013
Combating Threats to Collective Attention in Social Media: An Evaluation.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013
2012
Detecting collective attention spam.
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, 2012
2011
Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Exploring Millions of Footprints in Location Sharing Services.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Content-driven detection of campaigns in social media.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Toward traffic-driven location-based web search.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
The social honeypot project: protecting online communities from spammers.
Proceedings of the 19th International Conference on World Wide Web, 2010
Uncovering social spammers: social honeypots + machine learning.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010
Devils, Angels, and Robots: Tempting Destructive Users in Social Media.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010
SocialTrust++: Building community-based trust in Social Information Systems.
Proceedings of the 6th International Conference on Collaborative Computing: Networking, 2010
You are where you tweet: a content-based approach to geo-locating twitter users.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2007
Design and Implementation of Efficient Directory Facilitator for Context-Aware Service Discovery.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007
Web-Based Integrated Service Discovery Using Agent Platform for Pervasive Computing Environments.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
SDRP: A Service Discovery with Routing Protocol for MANETs.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006
An Intelligent Middleware Architecture for Context-Aware Service Discovery.
Proceedings of the Computational Science, 2006
Agent-Based Service Discovery Middleware in Ubiquitous Environments.
Proceedings of the Computational Science, 2006
2005
Efficient Algorithm for Service Matchmaking in Ubiquitous Environments.
Proceedings of the E-Commerce and Web Technologies: 6th International Conference, 2005
Matchmaking Algorithms to Improve Dynamic Service Matching in Ubiquitous Environments.
Proceedings of the 4th Annual ACIS International Conference on Computer and Information Science (ICIS 2005), 2005
Service Discovery Using FIPA-Compliant AP to Support Scalability in Ubiquitous Environments.
Proceedings of the 4th Annual ACIS International Conference on Computer and Information Science (ICIS 2005), 2005