Ping Chen

According to our database, Ping Chen authored at least 93 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A Unified Knowledge Transfer Network for Generalized Category Discovery.

Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Transfer and Alignment Network for Generalized Category Discovery.

Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Full-span named entity recognition with boundary regression.

Junhui Yu, Yanping Chen, Qinghua Zheng, Yuefei Wu, Ping Chen

Connect. Sci., December, 2023

EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation.

Wei Li, Jinlin Chen, Jiannong Cao, Chao Ma, Jia Wang, Xiaohui Cui, Ping Chen

IEEE Trans. Ind. Informatics, March, 2023

A Boundary Regression Model for Nested Named Entity Recognition.

Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen

Cogn. Comput., March, 2023

Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network.

Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng

IEEE Trans. Comput. Soc. Syst., February, 2023

A Controlled Attention for Nested Named Entity Recognition.

Yanping Chen, Rong Huang, Lijun Pan, Ruizhang Huang, Qinghua Zheng, Ping Chen

Cogn. Comput., January, 2023

New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training.

Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding

IEEE Intell. Syst., 2023

Generalized Category Discovery with Large Language Models in the Loop.

Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen

CoRR, 2023

A Diffusion Weighted Graph Framework for New Intent Discovery.

Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery.

Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting.

Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding

Proceedings of the IEEE International Conference on Big Data, 2023

Generalized Category Discovery with Decoupled Prototypical Network.

Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen

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

2022

Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric.

Wei Li, Zhixuan Liang, Ping Ma, Ruobei Wang, Xiaohui Cui, Ping Chen

IEEE Trans. Cybern., 2022

SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis.

Kevin Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen

ACM Trans. Comput. Heal., 2022

Maximizing Fairness in Deep Neural Networks via Mode Connectivity.

Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen

IEEE Intell. Syst., 2022

Fall risk assessment through a synergistic multi-source DNN learning model.

Olga Andreeva, Wei Ding, Suzanne G. Leveille, Yurun Cai, Ping Chen

Artif. Intell. Medicine, 2022

Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems.

Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning.

Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, Qianying Wang

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.

Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen

ACM Trans. Knowl. Discov. Data, 2021

Annotation of Chinese Predicate Heads and Relevant Elements.

Yanping Chen, Wenfan Jin, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen

CoRR, 2021

NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.

Wei Li, Jinlin Chen, Ping Chen, Lequan Yu, Xiaohui Cui, Yiwei Li, Fang Cheng, Wen Ouyang

Artif. Intell. Medicine, 2021

2020

Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model.

Yanping Chen, Yuefei Wu, Yongbin Qin, Ying Hu, Zeyu Wang, Ruizhang Huang, Xinyu Cheng, Ping Chen

IEEE Intell. Syst., 2020

A Boundary Regressing Model for Nested Named Entity Recognition.

Yanping Chen, Lefei Wu, Liyuan Deng, Yongbin Qing, Ruizhang Huang, Qinghua Zheng, Ping Chen

CoRR, 2020

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

Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen

CoRR, 2020

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

Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen

CoRR, 2020

Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer.

Jipeng Qiang, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen

IEEE Access, 2020

A Multi-Channel Deep Neural Network for Relation Extraction.

Yanping Chen, Kai Wang, Weizhe Yang, Yongbin Qin, Ruizhang Huang, Ping Chen

IEEE Access, 2020

A Boundary Assembling Method for Nested Biomedical Named Entity Recognition.

Yanping Chen, Ying Hu, Yijing Li, Ruizhang Huang, Yongbin Qin, Yuefei Wu, Qinghua Zheng, Ping Chen

IEEE Access, 2020

A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network.

Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding

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.

Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen

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.

Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2019

His-GAN: A histogram-based GAN model to improve data generation quality.

Wei Li, Wei Ding, Rajani S. Sadasivam, Xiaohui Cui, Ping Chen

Neural Networks, 2019

On Improving the accuracy with Auto-Encoder on Conjunctivitis.

Wei Li, Xiao Liu, Jin Liu, Ping Chen, Shaohua Wan, Xiaohui Cui

Appl. Soft Comput., 2019

A Set Space Model to Capture Structural Information of a Sentence.

Yanping Chen, Guorong Wang, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Ping Chen

IEEE Access, 2019

2018

Discovery of Rare Key Phrases.

Yanping Chen, Sha Liu, Qinghua Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen

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.

Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding

Proceedings of the IEEE International Conference on Data Mining, 2018

A Semantic QA-Based Approach for Text Summarization Evaluation.

Ping Chen, Fei Wu, Tong Wang, Wei Ding

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Set Space Model for Feature Calculus.

Yanping Chen, Qinghua Zheng, Ping Chen

IEEE Intell. Syst., 2017

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

Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen

CoRR, 2017

A Semantic QA-Based Approach for Text Summarization Evaluation.

Ping Chen, Fei Wu, Tong Wang

CoRR, 2017

Topic Modeling over Short Texts by Incorporating Word Embeddings.

Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Predicting the Quality of Short Narratives from Social Media.

Tong Wang, Ping Chen, Boyang Li

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Smoking Cessation Recruitment Analysis: A Case Study.

Wei Li, Xiaohui Cui, Kevin Michael Amaral, Rajani S. Sadasivam, Ping Chen

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Text Simplification and Pupillometry: An Exploratory Study.

Mina Shojaeizadeh, Soussan Djamasbi, Ping Chen, John Rochford

Proceedings of the Augmented Cognition. Enhancing Cognition and Behavior in Complex Human Environments, 2017

2016

Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling.

Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen

IEEE Trans. Knowl. Data Eng., 2016

Multi-document summarization using closed patterns.

Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu

Knowl. Based Syst., 2016

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

Tong Wang, Ping Chen, Kevin Michael Amaral, Jipeng Qiang

CoRR, 2016

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

Carl Tony Fakhry, Parul Choudhary, Alex Gutteridge, Ben Sidders, Ping Chen, Daniel Ziemek, Kourosh Zarringhalam

BMC Bioinform., 2016

A new evaluation measure using compression dissimilarity on text summarization.

Tong Wang, Ping Chen, Dan A. Simovici

Appl. Intell., 2016

Topic Discovery from Heterogeneous Texts.

Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu

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.

Kevin Michael Amaral, Ping Chen, Wei Ding, Rajani S. Sadasivam

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Comprehensive Literature Review on Big Data in Healthcare.

Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang

Proceedings of the 22nd Americas Conference on Information Systems, 2016

Text Simplification Using Neural Machine Translation.

Tong Wang, Ping Chen, John Rochford, Jipeng Qiang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Compression and Data Mining.

Dan A. Simovici, Ping Chen, Tong Wang, Dan Pletea

J. Commun., 2015

A Boundary Assembling Method for Chinese Entity-Mention Recognition.

Yanping Chen, Qinghua Zheng, Ping Chen

IEEE Intell. Syst., 2015

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

Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang, Qin Su, Ping Chen

Decis. Support Syst., 2015

Feature assembly method for extracting relations in Chinese.

Yanping Chen, Qinghua Zheng, Ping Chen

Artif. Intell., 2015

LDA Based Event Extraction: Detecting Influenza Epidemics Using Microblog.

Jingwei Li, Wayne Huang, Ping Chen

Proceedings of the Data Science - Second International Conference, 2015

Biomedical relation extraction using stochastic difference equations.

Carl Tony Fakhry, Kourosh Zarringhalam, Ping Chen

Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Extended Topic Model for Word Dependency.

Tong Wang, Vish Viswanath, Ping Chen

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.

Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Access My Campus.

Kevin Michael Amaral, Ping Chen, William S. Carter, John Sanchez

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.

Dawei Wang, Wei Ding, Henry Z. Lo, Melissa Morabito, Ping Chen, Josue Salazar, Tomasz F. Stepinski

Comput. Environ. Urban Syst., 2013

Introducing privacy in a data mining course (abstract only).

Lila Ghemri, Ping Chen

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.

Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Word Sense Disambiguation with Automatically Acquired Knowledge.

Ping Chen, Chris Bowes, Wei Ding, Max Choly

IEEE Intell. Syst., 2012

Effective Co-reference Resolution in Clinical Text.

David Hinote, Carlos Ramírez, Ping Chen

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

2011

Adaptive Study Design Through Semantic Association Rule Analysis.

Ping Chen, Wei Ding, Walter Garcia

Int. J. Softw. Sci. Comput. Intell., 2011

2010

Fractal Mining - Self Similarity-based Clustering and its Applications.

Daniel Barbará, Ping Chen

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.

Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding

Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Efficient algorithms based on relational queries to mine frequent graphs.

Walter Garcia, Carlos Ordonez, Kai Zhao, Ping Chen

Proceedings of the Third Ph.D. Workshop on Information and Knowledge Management, 2010

Hypothesis generation and data quality assessment through association mining.

Ping Chen, Walter Garcia

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Word sense distribution in a web corpus.

Ping Chen, David Brown, Andrew Tran, Noble Ozoka, Rafael Ortiz

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

A Lexical Knowledge Representation Model for Natural Language Understanding.

Ping Chen, Wei Ding, Chengmin Ding

Int. J. Softw. Sci. Comput. Intell., 2009

A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge.

Ping Chen, Wei Ding, Chris Bowes, David Brown

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.

Ping Chen, Wei Ding, Chris Bowes, David Brown

Proceedings of the ICTAI 2009, 2009

2008

Application of word prediction and disambiguation to improve text entry for people with physical disabilities (assistive technology).

Hisham Al-Mubaid, Ping Chen

Int. J. Soc. Humanist. Comput., 2008

Parsing Tree Matching Based Question Answering.

Ping Chen, Timothy Simmons, Carlos Lacayo, Wei Ding

Proceedings of the First Text Analysis Conference, 2008

2006

Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation.

Hisham Al-Mubaid, Ping Chen

Proceedings of the Third International Conference on Information Technology: New Generations (ITNG 2006), 2006

Mining Executive Compensation Data from SEC Filings.

Chengmin Ding, Ping Chen

Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Context-based Term Disambiguation in Biomedical Literature.

Ping Chen, Hisham Al-Mubaid

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

SenseNet: A Knowledge Representation Model for Computational Semantics.

Ping Chen, Wei Ding, Chengmin Ding

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

Web-Based Interactive Visualization of Data Cubes.

Xusheng Wang, Ping Chen, Wei Ding

Proceedings of The 2005 International Conference on Modeling, 2005

Context-based similar words detection and its application in specialized search engines.

Hisham Al-Mubaid, Ping Chen

Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

Fractal Mining - Self Similarity-based Clustering and its Applications.

Daniel Barbará, Ping Chen

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Self-Similar Mining of Time Association Rules.

Daniel Barbará, Ping Chen, Zohreh Nazeri

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Generating and Applying Rules for Interval Valued Fuzzy Observations.

André de Korvin, Chenyi Hu, Ping Chen

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Using Self-Similarity to Cluster Large Data Sets.

Daniel Barbará, Ping Chen

Data Min. Knowl. Discov., 2003

Icon-based Visualization of Large High-Dimensional Datasets.

Ping Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon

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.

Ping Chen, André de Korvin, Chenyi Hu

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001

Tracking Clusters in Evolving Data Sets.

Daniel Barbará, Ping Chen

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

2000

Using the fractal dimension to cluster datasets.

Daniel Barbará, Ping Chen

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000