Chang-Tien Lu

Orcid: 0000-0003-3675-0199

Affiliations:
  • Virginia Tech, Falls Church, VA, USA
  • University of Minnesota, Minneapolis, MN, USA (PhD 2001)


According to our database1, Chang-Tien Lu authored at least 252 papers between 1998 and 2024.

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Bibliography

2024
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling.
ACM Trans. Knowl. Discov. Data, July, 2024

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv., May, 2024

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.
CoRR, 2024

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction.
CoRR, 2024

InternalInspector I<sup>2</sup>: Robust Confidence Estimation in LLMs through Internal States.
CoRR, 2024

DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos.
CoRR, 2024

Network Interdiction Goes Neural.
CoRR, 2024

A Comprehensive Survey on Data Augmentation.
CoRR, 2024

Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges.
CoRR, 2024

Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques.
Proceedings of The Second Arabic Natural Language Processing Conference, 2024

GraphNILM: A Graph Neural Network for Energy Disaggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Can LLM Find the Green Circle? Investigation and Human-Guided Tool Manipulation for Compositional Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions.
IEEE Trans. Comput. Soc. Syst., April, 2023

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.
ACM Trans. Spatial Algorithms Syst., March, 2023

Memetic Algorithms for Spatial Partitioning Problems.
ACM Trans. Spatial Algorithms Syst., March, 2023

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation.
Frontiers Big Data, January, 2023

Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization.
CoRR, 2023

Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain.
CoRR, 2023

Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning.
CoRR, 2023

DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks.
CoRR, 2023

LANS: Large-scale Arabic News Summarization Corpus.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Infinitely Deep Graph Transformation Networks.
Proceedings of the IEEE International Conference on Data Mining, 2023

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM.
Proceedings of the IEEE International Conference on Big Data, 2023

Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices.
Proceedings of the IEEE International Conference on Big Data, 2023

RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023

Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset.
Proceedings of the IEEE International Conference on Big Data, 2023

LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Hypergraph Text Classification for Mental Health Misleading Advice.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.
ACM Trans. Knowl. Discov. Data, 2022

Online and Distributed Robust Regressions with Extremely Noisy Labels.
ACM Trans. Knowl. Discov. Data, 2022

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

Semantic inpainting on segmentation map via multi-expansion loss.
Neurocomputing, 2022

LANS: Large-scale Arabic News Summarization Corpus.
CoRR, 2022

Sampling-based techniques for designing school boundaries.
CoRR, 2022

Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Granger Causal Inference for Interpretable Traffic Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Cross-Domain Few-Shot Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards a Patient-Centered Virtual Hospital Ecosystem: A Fine Grained VHealth-AC Model for Hospitals' Legacy Information Systems.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties.
Proceedings of the IEEE International Conference on Big Data, 2022

HateNet: A Graph Convolutional Network Approach to Hate Speech Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models.
Proceedings of the IEEE International Conference on Big Data, 2022

Twitter Bot Identification: An Anomaly Detection Approach.
Proceedings of the IEEE International Conference on Big Data, 2022

HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets.
Proceedings of the IEEE International Conference on Big Data, 2022

DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data.
Proceedings of the IEEE International Conference on Big Data, 2022

Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blocking Influence at Collective Level with Hard Constraints (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Fine-Grained Balanced Cyberbullying Dataset.
Dataset, March, 2021

DIGDUG: Scalable Separable Dense Graph Pruning and Join Operations in MapReduce.
IEEE Trans. Big Data, 2021

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.
Frontiers Big Data, 2021

Deep Graph Learning for Circuit Deobfuscation.
Frontiers Big Data, 2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR, 2021

Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2020

Probabilistic Topic Modeling for Comparative Analysis of Document Collections.
ACM Trans. Knowl. Discov. Data, 2020

The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report.
ACM SIGSPATIAL Special, 2020

Online flu epidemiological deep modeling on disease contact network.
GeoInformatica, 2020

Learning evolving user's behaviors on location-based social networks.
GeoInformatica, 2020

Semantic Editing On Segmentation Map Via Multi-Expansion Loss.
CoRR, 2020

Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations.
CoRR, 2020

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.
CoRR, 2020

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Towards More Accurate Uncertainty Estimation In Text Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

RISECURE: Metro Incidents And Threat Detection Using Social Media.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Geospatial Clustering for Balanced and Proximal Schools.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation.
ACM Trans. Knowl. Discov. Data, 2019

Detection of clusters in traffic networks based on spatio-temporal flow modeling.
Trans. GIS, 2019

Batman or the joker?: the powerful urban computing and its ethics issues.
ACM SIGSPATIAL Special, 2019

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning.
CoRR, 2019

Collect Ethically: Reduce Bias in Twitter Datasets.
Proceedings of the Information Management and Big Data - 6th International Conference, 2019

Mitigating Uncertainty in Document Classification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Spatio-temporal Event Forecasting and Precursor Identification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

REGAL: A Regionalization framework for school boundaries.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Modeling the Relationship between User Comments and Edits in Document Revision.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Feature driven learning framework for cybersecurity event detection.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
CATrust: Context-Aware Trust Management for Service-Oriented Ad Hoc Networks.
IEEE Trans. Serv. Comput., 2018

Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring.
ACM Trans. Intell. Syst. Technol., 2018

DIMPL: a distributed in-memory drone flight path builder system.
J. Big Data, 2018

Preface: special issue on geo-social media analytics.
GeoInformatica, 2018

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator.
CoRR, 2018

Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding.
CoRR, 2018

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Media based Simulation Models for Understanding Disease Dynamics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Regression via Online Feature Selection Under Adversarial Data Corruption.
Proceedings of the IEEE International Conference on Data Mining, 2018

Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities.
Proceedings of the IEEE International Conference on Data Mining, 2018

StreetNet: preference learning with convolutional neural network on urban crime perception.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Situation-Based Interpretable Learning for Personality Prediction in Social Media.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Multi-Task Learning for Transit Service Disruption Detection.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Geography Markup Language (GML).
Proceedings of the Encyclopedia of GIS., 2017

Outlier Detection, Spatial.
Proceedings of the Encyclopedia of GIS., 2017

Outlier Detection.
Proceedings of the Encyclopedia of GIS., 2017

Concurrency Control for Spatial Access Method.
Proceedings of the Encyclopedia of GIS., 2017

Concurrency Control for Spatial Access.
Proceedings of the Encyclopedia of GIS., 2017

Nearest Neighbor Query, Definition.
Proceedings of the Encyclopedia of GIS., 2017

Nearest Neighbor Query.
Proceedings of the Encyclopedia of GIS., 2017

Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2017

Spatial Prediction for Multivariate Non-Gaussian Data.
ACM Trans. Knowl. Discov. Data, 2017

Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.
Proc. IEEE, 2017

DERIV: distributed brand perception tracking framework.
J. Big Data, 2017

SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing.
CoRR, 2017

DISCRN: A Distributed Storytelling Framework for Intelligence Analysis.
Big Data, 2017

Absenteeism Detection in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Robust Regression via Heuristic Hard Thresholding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multimodal Storytelling via Generative Adversarial Imitation Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online and Distributed Robust Regressions Under Adversarial Data Corruption.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Learning to Fuse Music Genres with Generative Adversarial Dual Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

TRACES: Generating Twitter stories via shared subspace and temporal smoothness.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Determining Relative Airport Threats from News and Social Media.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Online Spatial Event Forecasting in Microblogs.
ACM Trans. Spatial Algorithms Syst., 2016

Discovering Anomalies on Mixed-Type Data Using a Generalized Student- t Based Approach.
IEEE Trans. Knowl. Data Eng., 2016

Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model.
J. Intell. Transp. Syst., 2016

A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter.
ISPRS Int. J. Geo Inf., 2016

A framework for intelligence analysis using spatio-temporal storytelling.
GeoInformatica, 2016

The big data of violent events: algorithms for association analysis using spatio-temporal storytelling.
GeoInformatica, 2016

Automatic targeted-domain spatiotemporal event detection in twitter.
GeoInformatica, 2016

A topic-focused trust model for Twitter.
Comput. Commun., 2016

An Unsupervised Approach to Anomaly Detection in Music Datasets.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Automatic Outlier Detection in Music Genre Datasets.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

DERIV: Distributed In-Memory Brand Perception Tracking Framework.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Multi-resolution Spatial Event Forecasting in Social Media.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

DISTL: Distributed In-Memory Spatio-Temporal Event-based Storyline Categorization Platform in Social Media.
Proceedings of the GISTAM 2016, 2016

Event Categorization and Key Prospect Identification from Storylines.
Proceedings of the Geographical Information Systems Theory, Applications and Management, 2016

Automatical Storyline Generation with Help from Twitter.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Topical Analysis of Interactions Between News and Social Media.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
How events unfold: spatiotemporal mining in social media.
ACM SIGSPATIAL Special, 2015

Fast adaptive kernel density estimator for data streams.
Knowl. Inf. Syst., 2015

Model-Based Forecasting of Significant Societal Events.
IEEE Intell. Syst., 2015

Spatiotemporal Event Forecasting in Social Media.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Multi-Task Learning for Spatio-Temporal Event Forecasting.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Steds: Social Media Based Transportation Event Detection with Text Summarization.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

DIFPL - Distributed Drone Flight Path Builder System.
Proceedings of the GISTAM 2015, 2015

Find the butterfly: a social media based arterial incidents detection and causality analysis system.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Dynamic theme tracking in Twitter.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
SpecMonitor: Toward Efficient Passive Traffic Monitoring for Cognitive Radio Networks.
IEEE Trans. Wirel. Commun., 2014

A Framework for Exploiting Local Information to Enhance Density Estimation of Data Streams.
ACM Trans. Knowl. Discov. Data, 2014

On detecting spatial categorical outliers.
GeoInformatica, 2014

Misinformation Propagation in the Age of Twitter.
Computer, 2014

Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.
Big Data, 2014


Forecasting location-based events with spatio-temporal storytelling.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2014

Shopaholic: a crowd-sourced spatio-temporal product-deals evaluation system (demo paper).
Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming, 2014

A search and summary application for traffic events detection based on Twitter data.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

TREADS: a safe route recommender using social media mining and text summarization.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

The EMBERS architecture for streaming predictive analytics.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
A two-layer framework for appearance based recognition using spatial and discriminant influences.
Neurocomputing, 2013

Analyzing Civil Unrest through Social Media.
Computer, 2013

A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

STED: semi-supervised targeted-interest event detectionin in twitter.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Non-parametric passive traffic monitoring in cognitive radio networks.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Deep Sparse Coding based Recursive Disaggregation Model for Water Conservation.
Proceedings of the IJCAI 2013, 2013

Kongress: a search and data mining application for U.S. congressional voting and Twitter data.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

A carpooling recommendation system based on social VANET and geo-social data.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Robust Prediction and Outlier Detection for Spatial Datasets.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

An integrated framework for spatio-temporal-textual search and mining.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

2011
A Graph-Based Approach to Detect Abnormal Spatial Points and Regions.
Int. J. Artif. Intell. Tools, 2011

A framework for the expansion of spatial features based on semantic footprints.
Proceedings of the IEEE International Conference on Systems, 2011

DIME: Disposable Index for Moving Objects.
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011

Activity analysis based on low sample rate smart meters.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Community Situational Awareness and Resilience through Mobile Applications.
Proceedings of the IEEE 8th International Conference on e-Business Engineering, 2011

CROWDSAFE: crowd sourcing of crime incidents and safe routing on mobile devices.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Spatial categorical outlier detection: pair correlation function based approach.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Learning from positive and unlabeled documents for automated detection of alternative splicing sentences in medline abstracts.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
GLS-SOD: a generalized local statistical approach for spatial outlier detection.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Appearance Based Recognition Using Spatial and Discriminant Influence.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

C3: Concurrency control on continuous queries over moving objects.
Proceedings of the 26th International Conference on Data Engineering, 2010

Spatial outlier detection: random walk based approaches.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

A spatio-temporal-textual crime search engine.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

2009
GLIP: A Concurrency Control Protocol for Clipping Indexing.
IEEE Trans. Knowl. Data Eng., 2009

A Concurrency Control Protocol for Continuously Monitoring Moving Objects.
Proceedings of the MDM 2009, 2009

2008
Geography Markup Language (GML).
Proceedings of the Encyclopedia of GIS., 2008

Outlier Detection, Spatial.
Proceedings of the Encyclopedia of GIS., 2008

Outlier Detection.
Proceedings of the Encyclopedia of GIS., 2008

Concurrency Control for Spatial Access Method.
Proceedings of the Encyclopedia of GIS., 2008

Concurrency Control for Spatial Access.
Proceedings of the Encyclopedia of GIS., 2008

Nearest Neighbor Query, Definition.
Proceedings of the Encyclopedia of GIS., 2008

Nearest Neighbor Query.
Proceedings of the Encyclopedia of GIS., 2008

On Detecting Spatial Outliers.
GeoInformatica, 2008

Impersonator identification through dynamic fingerprinting.
Digit. Investig., 2008

An entropy-based method for assessing the number of spatial outliers.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

On Locally Linear Classification by Pairwise Coupling.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

HOMES: highway operation monitoring and evaluation system.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

A framework for estimating complex probability density structures in data streams.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Detecting and tracking regional outliers in meteorological data.
Inf. Sci., 2007

Advances in GML for Geospatial Applications.
GeoInformatica, 2007

Performance Evaluation of Desktop Search Engines.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

Spatial Outlier Detection: A Graph-Based Approach.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

CLAM: concurrent location management for moving objects.
Proceedings of the 15th ACM International Symposium on Geographic Information Systems, 2007

2006
Spatial Weighted Outlier Detection.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

AOID: adaptive on-line incident detection system.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006

AITVS: Advanced Interactive Traffic Visualization System.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
Transportation data visualisation and mining for emergency management.
Int. J. Crit. Infrastructures, 2005

A Web-based Data Visualization and Analysis System for Watershed Management.
Ann. GIS, 2005

Making Data Mining Models Useful to Model Non-paying Customers of Exchange Carriers.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Exploiting efficient data mining techniques to enhance intrusion detection systems.
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005

2004
Multivariate Spatial Outlier Detection.
Int. J. Artif. Intell. Tools, 2004

Analysis of Payment Transaction Security in Mobile Commerce.
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Web visualization of geo-spatial data using SVG and VRML/X3D.
Proceedings of the Third International Conference on Image and Graphics, 2004

Wavelet fuzzy classification for detecting and tracking region outliers in meteorological data.
Proceedings of the 12th ACM International Workshop on Geographic Information Systems, 2004

Evaluating GML Support for Spatial Databases.
Proceedings of the 28th International Computer Software and Applications Conference (COMPSAC 2004), 2004

2003
A Unified Approach to Detecting Spatial Outliers.
GeoInformatica, 2003

Detecting Spatial Outliers with Multiple Attributes.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Algorithms for Spatial Outlier Detection.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Detecting region outliers in meteorological data.
Proceedings of the ACM-GIS 2003, 2003

2002
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach.
IEEE Trans. Knowl. Data Eng., 2002

Detecting graph-based spatial outliers.
Intell. Data Anal., 2002

Data Mining for Selective Visualization of Large Spatial Datasets.
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

2001
Detecting graph-based spatial outliers: algorithms and applications (a summary of results).
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

1999
Spatial Databases - Accomplishments and Research Needs.
IEEE Trans. Knowl. Data Eng., 1999

1998
Optimizing Join Index Based Join Processing: A Graph Partitioning Approach.
Proceedings of the Seventeenth Symposium on Reliable Distributed Systems, 1998


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