Ping Chen

Orcid: 0000-0003-3789-7686

Affiliations:
  • University of Massachusetts Boston, Department of Computer Science, MA, USA
  • University of Houston-Downtown, Department of Computer and Mathematical Sciences, TX, USA (2001 - 2013)
  • George Mason University, Fairfax, VA, USA (PhD 2001)


According to our database1, Ping Chen authored at least 101 papers between 2000 and 2025.

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Bibliography

2025
Automatically learning linguistic structures for entity relation extraction.
Inf. Process. Manag., 2025

2024
Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks.
IEEE Trans. Cybern., August, 2024

CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability.
Neural Networks, 2024

Learning path recommendation with multi-behavior user modeling and cascading deep Q networks.
Knowl. Based Syst., 2024

DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery.
Knowl. Based Syst., 2024

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models.
CoRR, 2024

AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention.
CoRR, 2024

A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Generalized Category Discovery with Large Language Models in the Loop.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Unified Knowledge Transfer Network for Generalized Category Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Transfer and Alignment Network for Generalized Category Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Full-span named entity recognition with boundary regression.
Connect. Sci., December, 2023

EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation.
IEEE Trans. Ind. Informatics, March, 2023

A Boundary Regression Model for Nested Named Entity Recognition.
Cogn. Comput., March, 2023

Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network.
IEEE Trans. Comput. Soc. Syst., February, 2023

A Controlled Attention for Nested Named Entity Recognition.
Cogn. Comput., January, 2023

New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training.
IEEE Intell. Syst., 2023

A Diffusion Weighted Graph Framework for New Intent Discovery.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2023

Generalized Category Discovery with Decoupled Prototypical Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric.
IEEE Trans. Cybern., 2022

SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis.
ACM Trans. Comput. Heal., 2022

Maximizing Fairness in Deep Neural Networks via Mode Connectivity.
IEEE Intell. Syst., 2022

Fall risk assessment through a synergistic multi-source DNN learning model.
Artif. Intell. Medicine, 2022

Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems.
Proceedings of the IEEE International Conference on Data Mining, 2022

Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance.
ACM Trans. Knowl. Discov. Data, 2021

Annotation of Chinese Predicate Heads and Relevant Elements.
CoRR, 2021

NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.
Artif. Intell. Medicine, 2021

2020
Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model.
IEEE Intell. Syst., 2020

A Boundary Regressing Model for Nested Named Entity Recognition.
CoRR, 2020

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance.
CoRR, 2020

SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis.
CoRR, 2020

Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer.
IEEE Access, 2020

A Multi-Channel Deep Neural Network for Relation Extraction.
IEEE Access, 2020

A Boundary Assembling Method for Nested Biomedical Named Entity Recognition.
IEEE Access, 2020

A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Catalysis Clustering with GAN by Incorporating Domain Knowledge.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization.
ACM Trans. Knowl. Discov. Data, 2019

His-GAN: A histogram-based GAN model to improve data generation quality.
Neural Networks, 2019

On Improving the accuracy with Auto-Encoder on Conjunctivitis.
Appl. Soft Comput., 2019

A Set Space Model to Capture Structural Information of a Sentence.
IEEE Access, 2019

2018
Discovery of Rare Key Phrases.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Semantic QA-Based Approach for Text Summarization Evaluation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Set Space Model for Feature Calculus.
IEEE Intell. Syst., 2017

Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer.
CoRR, 2017

A Semantic QA-Based Approach for Text Summarization Evaluation.
CoRR, 2017

Topic Modeling over Short Texts by Incorporating Word Embeddings.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Predicting the Quality of Short Narratives from Social Media.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Smoking Cessation Recruitment Analysis: A Case Study.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Text Simplification and Pupillometry: An Exploratory Study.
Proceedings of the Augmented Cognition. Enhancing Cognition and Behavior in Complex Human Environments, 2017

2016
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling.
IEEE Trans. Knowl. Data Eng., 2016

Multi-document summarization using closed patterns.
Knowl. Based Syst., 2016

An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification.
CoRR, 2016

Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks.
BMC Bioinform., 2016

A new evaluation measure using compression dissimilarity on text summarization.
Appl. Intell., 2016

Topic Discovery from Heterogeneous Texts.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Comprehensive Literature Review on Big Data in Healthcare.
Proceedings of the 22nd Americas Conference on Information Systems, 2016

Text Simplification Using Neural Machine Translation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Compression and Data Mining.
J. Commun., 2015

A Boundary Assembling Method for Chinese Entity-Mention Recognition.
IEEE Intell. Syst., 2015

Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance.
Decis. Support Syst., 2015

Feature assembly method for extracting relations in Chinese.
Artif. Intell., 2015

LDA Based Event Extraction: Detecting Influenza Epidemics Using Microblog.
Proceedings of the Data Science - Second International Conference, 2015

Biomedical relation extraction using stochastic difference equations.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Extended Topic Model for Word Dependency.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Access My Campus.
Proceedings of the Smart Homes and Health Telematics - 12th International Conference, 2014

2013
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns.
Comput. Environ. Urban Syst., 2013

Introducing privacy in a data mining course (abstract only).
Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Word Sense Disambiguation with Automatically Acquired Knowledge.
IEEE Intell. Syst., 2012

Effective Co-reference Resolution in Clinical Text.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

2011
Adaptive Study Design Through Semantic Association Rule Analysis.
Int. J. Softw. Sci. Comput. Intell., 2011

2010
Fractal Mining - Self Similarity-based Clustering and its Applications.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Efficient algorithms based on relational queries to mine frequent graphs.
Proceedings of the Third Ph.D. Workshop on Information and Knowledge Management, 2010

Hypothesis generation and data quality assessment through association mining.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Word sense distribution in a web corpus.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A Lexical Knowledge Representation Model for Natural Language Understanding.
Int. J. Softw. Sci. Comput. Intell., 2009

A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation.
Proceedings of the ICTAI 2009, 2009

2008
Application of word prediction and disambiguation to improve text entry for people with physical disabilities (assistive technology).
Int. J. Soc. Humanist. Comput., 2008

Parsing Tree Matching Based Question Answering.
Proceedings of the First Text Analysis Conference, 2008

2006
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation.
Proceedings of the Third International Conference on Information Technology: New Generations (ITNG 2006), 2006

Mining Executive Compensation Data from SEC Filings.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Context-based Term Disambiguation in Biomedical Literature.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

SenseNet: A Knowledge Representation Model for Computational Semantics.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
Web-Based Interactive Visualization of Data Cubes.
Proceedings of The 2005 International Conference on Modeling, 2005

Context-based similar words detection and its application in specialized search engines.
Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

Fractal Mining - Self Similarity-based Clustering and its Applications.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Self-Similar Mining of Time Association Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Generating and Applying Rules for Interval Valued Fuzzy Observations.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
Using Self-Similarity to Cluster Large Data Sets.
Data Min. Knowl. Discov., 2003

Icon-based Visualization of Large High-Dimensional Datasets.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Association analysis with interval valued fuzzy sets and body of evidence.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Tracking Clusters in Evolving Data Sets.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

2000
Using the fractal dimension to cluster datasets.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000


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