Chao Huang

CoRR, 2024

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

EasyRec: Simple yet Effective Language Models for Recommendation.

[BibT_eX]

[DOI]

Xubin Ren

CoRR, 2024

A Comprehensive Survey on Self-Supervised Learning for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Dual-Channel Multiplex Graph Neural Networks for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

GraphEdit: Large Language Models for Graph Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2024

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Representation Learning with Large Language Models for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

GraphPro: Graph Pre-training and Prompt Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Graphs: Progresses and Directions.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SSLRec: A Self-Supervised Learning Framework for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

DiffKG: Knowledge Graph Diffusion Model for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphGPT: Graph Instruction Tuning for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation.

[BibT_eX]

[DOI]

Yuxi Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DiffMM: Multi-Modal Diffusion Model for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

HiGPT: Heterogeneous Graph Language Model.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey of Large Language Models for Graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UrbanGPT: Spatio-Temporal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Augmentation for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

OpenGraph: Towards Open Graph Foundation Models.

[BibT_eX]

[DOI]

Ben Kao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

XRec: Large Language Models for Explainable Recommendation.

[BibT_eX]

[DOI]

Qiyao Ma

Xubin Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EasyST: A Simple Framework for Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

RecDiff: Diffusion Model for Social Recommendation.

[BibT_eX]

[DOI]

Zongwei Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Multi-Behavior Sequential Recommendation With Temporal Graph Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, May, 2023

Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Graph Pre-training and Prompt Learning for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

SSLRec: A Self-Supervised Learning Library for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Graph Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Yangqin Jiang

CoRR, 2023

Do We Really Need Graph Neural Networks for Traffic Forecasting?

[BibT_eX]

[DOI]

CoRR, 2023

Automated Spatio-Temporal Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Debiased Contrastive Learning for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Graph-less Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Automated Self-Supervised Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Multi-Modal Self-Supervised Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Fair Graph Representation Learning via Diverse Mixture-of-Experts.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Heterogeneous Graph Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Graph Masked Autoencoder for Sequential Recommendation.

[BibT_eX]

[DOI]

Yaowen Ye

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Disentangled Contrastive Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Transformer for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-Relational Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Wei Wei

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Graph Self-Supervised Rationalization for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adaptive Graph Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Yangqin Jiang

Lianghao Huang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Denoised Self-Augmented Learning for Social Recommendation.

[BibT_eX]

[DOI]

Tianle Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Disentangled Graph Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Explainable Spatio-Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

Jiabin Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatio-Temporal Meta Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

How Expressive are Graph Neural Networks in Recommendation?

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph Structure Learning on User Mobility Data for Social Relationship Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Heterogeneous graph neural network for attribute completion.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Knowledge Graph Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Hypergraph Contrastive Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-Supervised Learning for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multiplex Heterogeneous Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-Supervised Hypergraph Transformer for Recommender Systems.

[BibT_eX]

[DOI]

Chuxu Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mutual Distillation Learning Network for Trajectory-User Linking.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Scalable Motif Counting for Large-scale Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

When do contrastive learning signals help spatio-temporal graph forecasting?

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Self-Supervised Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Inductive Contextual Relation Learning for Personalization.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2021

Motif-Preserving Dynamic Attributed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Meta Network for Multi-Behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks.

[BibT_eX]

[DOI]

Jiashu Zhao

Dawei Yin

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Social Recommendation with Self-Supervised Metagraph Informax Network.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2020

Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems.

[BibT_eX]

[DOI]

Nitesh V. Chawla

IEEE Trans. Big Data, 2020

Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Fast Attributed Multiplex Heterogeneous Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Dynamic Representation Learning for Large-Scale Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Few-Shot Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Heterogeneous Deep Graph Infomax.

[BibT_eX]

[DOI]

CoRR, 2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Neural Tensor Factorization for Temporal Interaction Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Dynamic Fusion Network for Traffic Accident Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Similarity-Aware Network Embedding with Self-Paced Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Who to select: Identifying critical sources in social sensing.

[BibT_eX]

[DOI]

Nathan Vance

Knowl. Based Syst., 2018

Neural Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2018

Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Towards Reliable Hypothesis Validation in Social Sensing Applications.

[BibT_eX]

[DOI]

Daniel Zhang

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data.

[BibT_eX]

[DOI]

Jun Tao

ACM Trans. Intell. Syst. Technol., 2017

Toward local family relationship discovery in location-based social network.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2017

Towards social-aware interesting place finding in social sensing applications.

[BibT_eX]

[DOI]

Brian Mann

Knowl. Based Syst., 2017

Exploring Scalability and Time-Sensitiveness in Reliable Social Sensing With Accuracy Assessment.

[BibT_eX]

[DOI]

IEEE Access, 2017

UAPD: Predicting Urban Anomalies from Spatial-Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Where are you from: Home location profiling of crowd sensors from noisy and sparse crowdsourcing data.

[BibT_eX]

[DOI]

Shenglong Zhu

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Critical Source Selection in Social Sensing Applications.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Distributed Computing in Sensor Systems, 2017

Reliable fake review detection via modeling temporal and behavioral patterns.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Towards Diversified Local Users Identification Using Location Based Social Networks.

[BibT_eX]

[DOI]

Shenglong Zhu

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Topic-Aware Social Sensing with Arbitrary Source Dependency Graphs.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Towards Reliable Social Sensing in Cyber-Physical-Social Systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Theme-Relevant Truth Discovery on Twitter: An Estimation Theoretic Approach.

[BibT_eX]

[DOI]

Jermaine Marshall

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Unsupervised Interesting Places Discovery in Location-Based Social Sensing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Distributed Computing in Sensor Systems, 2016

Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities.

[BibT_eX]

[DOI]

Xian Wu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On robust truth discovery in sparse social media sensing.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Towards unsupervised home location inference from online social media.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Exploiting spatial-temporal-social constraints for localness inference using online social media.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Spatial-Temporal Aware Truth Finding in Big Data Social Sensing Applications.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

On Interesting Place Finding in Social Sensing: An Emerging Smart City Application Paradigm.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Confidence-aware truth estimation in social sensing applications.

[BibT_eX]

[DOI]

Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015

On spatial-temporal truth finding in social sensing.

[BibT_eX]

[DOI]

Nitesh V. Chawla

Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015

Demo paper: A confidence-aware truth estimation tool for social sensing applications.

[BibT_eX]

[DOI]

Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015

Towards Time-Sensitive Truth Discovery in Social Sensing Applications.

[BibT_eX]

[DOI]

Nitesh V. Chawla

Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Time-Aware Truth Discovery in Social Sensing.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Link weight based truth discovery in social sensing.

[BibT_eX]

[DOI]