Feng Chen

Orcid: 0000-0002-4508-5963

Affiliations:
  • University of Texas at Dallas, TX, USA
  • University at Albany - SUNY, NY, USA (2014-2018)
  • Virginia Polytechnic Institute and State University, Blacksburg, VA, USA (PhD 2012)


According to our database1, Feng Chen authored at least 168 papers between 2006 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness.
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

A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning.
Inf. Fusion, January, 2024

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling.
Trans. Mach. Learn. Res., 2024

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
CoRR, 2024

Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks.
CoRR, 2024

Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization.
CoRR, 2024

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models.
CoRR, 2024

Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities.
CoRR, 2024

VinJ: An Automated Tool for Large-Scale Software Vulnerability Data Generation.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

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

3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Uncertainty-aware Graph-based Hyperspectral Image Classification.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Interactive Web-Based Visual Analysis on Network Traffic Data.
Inf., January, 2023

Fairness-Aware Domain Generalization under Covariate and Dependence Shifts.
CoRR, 2023

Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation.
CoRR, 2023

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective.
CoRR, 2023

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms.
CoRR, 2023

Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information.
CoRR, 2023

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Fair Disentangled Online Learning for Changing Environments.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Web Services, 2023

VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Multi-Label Temporal Evidential Neural Networks for Early Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

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

PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration.
CoRR, 2022

Block-Structured Optimization for Subgraph Detection in Interdependent Networks.
CoRR, 2022

A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning.
CoRR, 2022

Generating realistic vulnerabilities via neural code editing: an empirical study.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Noninformative Prior Weights for Dirichlet PDFs<sup>*</sup>.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Framing Algorithmic Recourse for Anomaly Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information.
Proceedings of the International Conference on Machine Learning, 2022

How Out-of-Distribution Data Hurts Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Seed: Sound Event Early Detection Via Evidential Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2022

Defending Evasion Attacks via Adversarially Adaptive Training.
Proceedings of the IEEE International Conference on Big Data, 2022

SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge.
Proceedings of the IEEE International Conference on Big Data, 2022

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Nested Bi-level Optimization Framework for Robust Few Shot Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty.
ACM Trans. Intell. Syst. Technol., 2021

Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release.
IEEE Trans. Dependable Secur. Comput., 2021

A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs.
IEEE Trans. Comput. Soc. Syst., 2021

Evaluating and comparing memory error vulnerability detectors.
Inf. Softw. Technol., 2021

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

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fairness-Aware Online Meta-learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Multidimensional Uncertainty-Aware Evidential Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2020

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

Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network.
GeoInformatica, 2020

A Reweighted Meta Learning Framework for Robust Few Shot Learning.
CoRR, 2020

Robust Semi-Supervised Learning with Out of Distribution Data.
CoRR, 2020

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

A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization.
IEEE Access, 2020

Detecting Media Self-Censorship without Explicit Training Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Uncertainty Aware Semi-Supervised Learning on Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Primal-Dual Subgradient Approach for Fair Meta Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Fair Meta-Learning For Few-Shot Classification.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Unfairness Discovery and Prevention For Few-Shot Regression.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors.
IEEE Trans. Knowl. Data Eng., 2019

Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints.
ACM Trans. Knowl. Discov. Data, 2019

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019.
ACM SIGSPATIAL Special, 2019

Bi-submodular Optimization (BSMO) for Detecting Drug-Drug Interactions (DDIs) from On-line Health Forums.
J. Heal. Informatics Res., 2019

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks.
CoRR, 2019

Dual Averaging Method for Online Graph-structured Sparsity.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Rank-Based Multi-task Learning for Fair Regression.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Uncertainty-based Decision Making Using Deep Reinforcement Learning.
Proceedings of the 22th International Conference on Information Fusion, 2019

Uncertainty-Aware Opinion Inference Under Adversarial Attacks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Uncovering Specific-Shape Graph Anomalies in Attributed Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data.
IEEE Trans. Knowl. Data Eng., 2018

Graph Anomaly Detection Based on Steiner Connectivity and Density.
Proc. IEEE, 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

Uncertainty-Based Opinion Inference on Network Data Using Graph Convolutional Neural Networks.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Deep Learning Based Scalable Inference of Uncertain Opinions.
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

Uncertainty Characteristics of Subjective Opinions.
Proceedings of the 21st International Conference on Information Fusion, 2018

PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

Parallel algorithms for anomalous subgraph detection.
Concurr. Comput. Pract. Exp., 2017

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

An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017

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

Near-Optimal and Practical Algorithms for Graph Scan Statistics.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Effective online software anomaly detection.
Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10, 2017

Tracking Multiple Social Media for Stock Market Event Prediction.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Drug-Drug Interactions (DDIs) Detection from On-Line Health Forums: Bi-Submodular Optimization (BSMO).
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Making a Difference: Analytics for Quality Knowledge-Building Conversations.
Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017

Collective subjective logic: Scalable uncertainty-based opinion inference.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 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 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

Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection.
CoRR, 2016

Social Media as a Sensor for Censorship Detection in News Media.
CoRR, 2016

Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity.
CoRR, 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

A Generalized Matching Pursuit Approach for Graph-Structured Sparsity.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Graph-Structured Sparse Optimization for Connected Subgraph Detection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

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

Graph Topic Scan Statistic for Spatial Event Detection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 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

Human Rights Event Detection from Heterogeneous Social Media Graphs.
Big Data, 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

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

On detecting spatial categorical outliers.
GeoInformatica, 2014


Modeling mass protest adoption in social network communities using geometric brownian motion.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

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

2013
Efficient Algorithms for Mining Large Spatio-Temporal Data.
PhD thesis, 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

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

Learning thread reply structure on patient forums.
Proceedings of the 2013 International Workshop on Data Management & Analytics for Healthcare, 2013

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

2012
Mining bridging rules between conceptual clusters.
Appl. Intell., 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

Student-t Based Robust Spatio-temporal Prediction.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

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

Multi-granular demand forecasting in SmarterWater.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 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

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

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

Regional behavior change detection via local spatial scan.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

2009
Mining class-bridge rules based on rough sets.
Expert Syst. Appl., 2009

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

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

2006
Identifying bridging rules between conceptual clusters.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006


  Loading...