Feng Chen
Orcid: 0000-0002-4508-5963Affiliations:
- 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.
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Bibliography
2024
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
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
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
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Conference on Web Services, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
ACM Trans. Knowl. Discov. Data, 2022
CoRR, 2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning.
CoRR, 2022
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022
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
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
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
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
Inf. Softw. Technol., 2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
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
GeoInformatica, 2020
Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network.
GeoInformatica, 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
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
2019
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
CoRR, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
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
Proceedings of the 22th International Conference on Information Fusion, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator.
CoRR, 2018
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
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
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
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
ACM Trans. Knowl. Discov. Data, 2017
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.
Proc. IEEE, 2017
Concurr. Comput. Pract. Exp., 2017
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
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10, 2017
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017
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
Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
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
J. Intell. Transp. Syst., 2016
GeoInformatica, 2016
The big data of violent events: algorithms for association analysis using spatio-temporal storytelling.
GeoInformatica, 2016
GeoInformatica, 2016
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection.
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
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
ACM SIGSPATIAL Special, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
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
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
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2014
2013
A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013
Proceedings of the 2013 International Workshop on Data Management & Analytics for Healthcare, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
2009
2008
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006