Ping Chen

129 papers A* 18A 3B 7C 4Misc 4Journal 68Unranked 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automatically learning linguistic structures for entity relation extraction.
Inf. Process. Manag.
Weizhe Yang, Yanping Chen, Jinling Xu, Yongbin Qin, Ping Chen
2025 B conf
FACT: Gated Fusion-Augmented Causal Mask Transformer for Pseudotime Analysis.
IEEE Big Data
Zhen Lu, Chengjie Zheng, Iris Shen, John Quackenbush, Viola Fanfani, Wei Ding, Ping Chen
2025 J jnl
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems.
ACM Trans. Intell. Syst. Technol.
Yong Zhuang, Matthew Almeida, Wei Ding, Shafiqul Islam, Zihan Li, Ping Chen
2025 — conf
Improving Generalization in Deep Neural Networks by Mitigating Memorization.
PAKDD (2)
Yong Zhuang, Tianyu Kang, Zhen Lu, Wei Ding, Ping Chen
2025 A* conf
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention.
CVPR
Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Ping Chen, Xiaoqin Zhang, Shijian Lu
2025 J jnl
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain.
CoRR
Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
2025 A* conf
Unleashing the Potential of Model Bias for Generalized Category Discovery.
AAAI
Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen
2024 — conf
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification.
PAKDD (6)
Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter, Ping Chen
2024 J jnl
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future.
CoRR
Shilin Sun, Wenbin An, Feng Tian, Fang Nan, Qidong Liu, Jun Liu, Nazaraf Shah, Ping Chen
2024 A conf
A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery.
ICME
Haonan Lin, Wenbin An, Yan Chen, Feng Tian, Yuzhe Yao, Wei Ding, Qianying Wang, Ping Chen
2024 A* conf
A Unified Knowledge Transfer Network for Generalized Category Discovery.
AAAI
Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
2024 J jnl
AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention.
CoRR
Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Guang Dai, Ping Chen, Shijian Lu
2024 J jnl
CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability.
Neural Networks
Tianyu Kang, Wei Ding, Ping Chen
2024 J jnl
DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery.
Knowl. Based Syst.
Wenbin An, Feng Tian, Wenkai Shi, Haonan Lin, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Hua Wen, Lei Yao, Ping Chen
2024 J jnl
DW-GAN: Toward High-Fidelity Color-Tones of GAN-Generated Images With Dynamic Weights.
IEEE Trans. Neural Networks Learn. Syst.
Wei Li, Chengchun Gu, Jinlin Chen, Chao Ma, Xiaowu Zhang, Bin Chen, Ping Chen
2024 — conf
Generalized Category Discovery with Large Language Models in the Loop.
ACL (Findings)
Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen
2024 J jnl
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models.
CoRR
Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, Qianying Wang, Yaqiang Wu, Guang Dai, Ping Chen
2024 J jnl
Learning path recommendation with multi-behavior user modeling and cascading deep Q networks.
Knowl. Based Syst.
Dailusi Ma, Haiping Zhu, Siji Liao, Yan Chen, Jun Liu, Feng Tian, Ping Chen
2024 J jnl
Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks.
IEEE Trans. Cybern.
Wei Li, Wei Liu, Jinlin Chen, Libing Wu, Patrick D. Flynn, Wei Ding, Ping Chen
2024 J jnl
SIG: Graph-Based Cancer Subtype Stratification With Gene Mutation Structural Information.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chengcheng Zhang, Wei Li, Ming Deng, Yizhang Jiang, Xiaohui Cui, Ping Chen
2024 A* conf
Transfer and Alignment Network for Generalized Category Discovery.
AAAI
Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
2024 J jnl
Unleashing the Potential of Model Bias for Generalized Category Discovery.
CoRR
Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen
2023 J jnl
A Boundary Regression Model for Nested Named Entity Recognition.
Cogn. Comput.
Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen
2023 J jnl
A Controlled Attention for Nested Named Entity Recognition.
Cogn. Comput.
Yanping Chen, Rong Huang, Lijun Pan, Ruizhang Huang, Qinghua Zheng, Ping Chen
2023 A* conf
A Diffusion Weighted Graph Framework for New Intent Discovery.
EMNLP
Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen
2023 J jnl
A Diffusion Weighted Graph Framework for New Intent Discovery.
CoRR
Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen
2023 J jnl
Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network.
IEEE Trans. Comput. Soc. Syst.
Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng
2023 B conf
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting.
IEEE Big Data
Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding
2023 A* conf
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery.
EMNLP
Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen
2023 J jnl
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery.
CoRR
Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen
2023 J jnl
EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation.
IEEE Trans. Ind. Informatics
Wei Li, Jinlin Chen, Jiannong Cao, Chao Ma, Jia Wang, Xiaohui Cui, Ping Chen
2023 J jnl
Full-span named entity recognition with boundary regression.
Connect. Sci.
Junhui Yu, Yanping Chen, Qinghua Zheng, Yuefei Wu, Ping Chen
2023 A* conf
Generalized Category Discovery with Decoupled Prototypical Network.
AAAI
Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen
2023 J jnl
Generalized Category Discovery with Large Language Models in the Loop.
CoRR
Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen
2023 J jnl
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training.
IEEE Intell. Syst.
Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding
2023 J jnl
Transfer and Alignment Network for Generalized Category Discovery.
CoRR
Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
2022 J jnl
Fall risk assessment through a synergistic multi-source DNN learning model.
Artif. Intell. Medicine
Olga Andreeva, Wei Ding, Suzanne G. Leveille, Yurun Cai, Ping Chen
2022 A* conf
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning.
EMNLP
Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, Qianying Wang
2022 J jnl
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning.
CoRR
Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, Qianying Wang
2022 J jnl
Generalized Category Discovery with Decoupled Prototypical Network.
CoRR
Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen
2022 J jnl
Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric.
IEEE Trans. Cybern.
Wei Li, Zhixuan Liang, Ping Ma, Ruobei Wang, Xiaohui Cui, Ping Chen
2022 J jnl
Maximizing Fairness in Deep Neural Networks via Mode Connectivity.
IEEE Intell. Syst.
Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen
2022 J jnl
SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis.
ACM Trans. Comput. Heal.
Kevin Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen
2022 A* conf
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems.
ICDM
Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen
2021 J jnl
Annotation of Chinese Predicate Heads and Relevant Elements.
CoRR
Yanping Chen, Wenfan Jin, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen
2021 J jnl
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance.
ACM Trans. Knowl. Discov. Data
Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen
2021 J jnl
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.
Artif. Intell. Medicine
Wei Li, Jinlin Chen, Ping Chen, Lequan Yu, Xiaohui Cui, Yiwei Li, Fang Cheng, Wen Ouyang
2020 J jnl
A Boundary Assembling Method for Nested Biomedical Named Entity Recognition.
IEEE Access
Yanping Chen, Ying Hu, Yijing Li, Ruizhang Huang, Yongbin Qin, Yuefei Wu, Qinghua Zheng, Ping Chen
2020 J jnl
A Boundary Regressing Model for Nested Named Entity Recognition.
CoRR
Yanping Chen, Lefei Wu, Liyuan Deng, Yongbin Qing, Ruizhang Huang, Qinghua Zheng, Ping Chen
2020 J jnl
A Multi-Channel Deep Neural Network for Relation Extraction.
IEEE Access
Yanping Chen, Kai Wang, Weizhe Yang, Yongbin Qin, Ruizhang Huang, Ping Chen
2020 A* conf
A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network.
KDD
Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding
2020 A* conf
Catalysis Clustering with GAN by Incorporating Domain Knowledge.
KDD
Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
2020 J jnl
Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer.
IEEE Access
Jipeng Qiang, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
2020 J jnl
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance.
CoRR
Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen
2020 J jnl
Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model.
IEEE Intell. Syst.
Yanping Chen, Yuefei Wu, Yongbin Qin, Ying Hu, Zeyu Wang, Ruizhang Huang, Xinyu Cheng, Ping Chen
2020 J jnl
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis.
CoRR
Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen
2019 J jnl
A Set Space Model to Capture Structural Information of a Sentence.
IEEE Access
Yanping Chen, Guorong Wang, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Ping Chen
2019 J jnl
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization.
ACM Trans. Knowl. Discov. Data
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
2019 J jnl
His-GAN: A histogram-based GAN model to improve data generation quality.
Neural Networks
Wei Li, Wei Ding, Rajani S. Sadasivam, Xiaohui Cui, Ping Chen
2019 J jnl
On Improving the accuracy with Auto-Encoder on Conjunctivitis.
Appl. Soft Comput.
Wei Li, Xiao Liu, Jin Liu, Ping Chen, Shaohua Wan, Xiaohui Cui
2018 A* conf
A Semantic QA-Based Approach for Text Summarization Evaluation.
AAAI
Ping Chen, Fei Wu, Tong Wang, Wei Ding
2018 A* conf
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping.
ICDM
Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding
2018 — conf
Discovery of Rare Key Phrases.
ICEBE
Yanping Chen, Sha Liu, Qinghua Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen
2017 J jnl
A Semantic QA-Based Approach for Text Summarization Evaluation.
CoRR
Ping Chen, Fei Wu, Tong Wang
2017 J jnl
A Set Space Model for Feature Calculus.
IEEE Intell. Syst.
Yanping Chen, Qinghua Zheng, Ping Chen
2017 J jnl
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer.
CoRR
Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen
2017 A* conf
Predicting the Quality of Short Narratives from Social Media.
IJCAI
Tong Wang, Ping Chen, Boyang Li
2017 J jnl
Predicting the Quality of Short Narratives from Social Media.
CoRR
Tong Wang, Ping Chen, Boyang Li
2017 — conf
Smoking Cessation Recruitment Analysis: A Case Study.
ICBK
Wei Li, Xiaohui Cui, Kevin Michael Amaral, Rajani S. Sadasivam, Ping Chen
2017 — conf
Text Simplification and Pupillometry: An Exploratory Study.
HCI (15)
Mina Shojaeizadeh, Soussan Djamasbi, Ping Chen, John Rochford
2017 — conf
Topic Modeling over Short Texts by Incorporating Word Embeddings.
PAKDD (2)
Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu
2016 — conf
A Comprehensive Literature Review on Big Data in Healthcare.
AMCIS
Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang
2016 J jnl
A new evaluation measure using compression dissimilarity on text summarization.
Appl. Intell.
Tong Wang, Ping Chen, Dan A. Simovici
2016 J jnl
An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification.
CoRR
Tong Wang, Ping Chen, Kevin Michael Amaral, Jipeng Qiang
2016 J jnl
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling.
IEEE Trans. Knowl. Data Eng.
Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen
2016 J jnl
Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks.
BMC Bioinform.
Carl Tony Fakhry, Parul Choudhary, Alex Gutteridge, Ben Sidders, Ping Chen, Daniel Ziemek, Kourosh Zarringhalam
2016 J jnl
Multi-document summarization using closed patterns.
Knowl. Based Syst.
Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu
2016 — conf
Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes.
ICDM Workshops
Kevin Michael Amaral, Ping Chen, Wei Ding, Rajani S. Sadasivam
2016 A* conf
Text Simplification Using Neural Machine Translation.
AAAI
Tong Wang, Ping Chen, John Rochford, Jipeng Qiang
2016 B conf
Topic Discovery from Heterogeneous Texts.
ICTAI
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
2016 J jnl
Topic Modeling over Short Texts by Incorporating Word Embeddings.
CoRR
Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu
2015 J jnl
A Boundary Assembling Method for Chinese Entity-Mention Recognition.
IEEE Intell. Syst.
Yanping Chen, Qinghua Zheng, Ping Chen
2015 — conf
Biomedical relation extraction using stochastic difference equations.
HPEC
Carl Tony Fakhry, Kourosh Zarringhalam, Ping Chen
2015 J jnl
Compression and Data Mining.
J. Commun.
Dan A. Simovici, Ping Chen, Tong Wang, Dan Pletea
2015 Misc conf
Compression and data mining.
ICNC
Dan A. Simovici, Tong Wang, Ping Chen, Dan Pletea
2015 — conf
Extended Topic Model for Word Dependency.
ACL (2)
Tong Wang, Vish Viswanath, Ping Chen
2015 J jnl
Feature assembly method for extracting relations in Chinese.
Artif. Intell.
Yanping Chen, Qinghua Zheng, Ping Chen
2015 C conf
LDA Based Event Extraction: Detecting Influenza Epidemics Using Microblog.
ICDS
Jingwei Li, Wayne Huang, Ping Chen
2015 J jnl
Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance.
Decis. Support Syst.
Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang, Qin Su, Ping Chen
2014 C conf
Access My Campus.
ICOST
Kevin Michael Amaral, Ping Chen, William S. Carter, John Sanchez
2014 — conf
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning.
PAKDD (2)
Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito
2013 A conf
Introducing privacy in a data mining course (abstract only).
SIGCSE
Lila Ghemri, Ping Chen
2013 A* conf
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.
KDD
Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam
2013 J jnl
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns.
Comput. Environ. Urban Syst.
Dawei Wang, Wei Ding, Henry Z. Lo, Melissa Morabito, Ping Chen, Josue Salazar, Tomasz F. Stepinski
2012 J jnl
A data mining hypertextbook: design, implementation and experience.
J. Comput. Sci. Coll.
Rakesh M. Verma, Ping Chen
2012 C conf
Effective Co-reference Resolution in Clinical Text.
IEA/AIE
David Hinote, Carlos Ramírez, Ping Chen
2012 J jnl
Word Sense Disambiguation with Automatically Acquired Knowledge.
IEEE Intell. Syst.
Ping Chen, Chris Bowes, Wei Ding, Max Choly
2011 J jnl
Adaptive Study Design Through Semantic Association Rule Analysis.
Int. J. Softw. Sci. Comput. Intell.
Ping Chen, Wei Ding, Walter Garcia
2011 J jnl
Designing an undergraduate data mining course by matching teaching strategies with student learning styles.
J. Comput. Sci. Coll.
Ping Chen, Irene Chen, Rakesh M. Verma
2010 — conf
Efficient algorithms based on relational queries to mine frequent graphs.
PIKM
Walter Garcia, Carlos Ordonez, Kai Zhao, Ping Chen
2010 — ch.
Fractal Mining - Self Similarity-based Clustering and its Applications.
Data Mining and Knowledge Discovery Handbook
Daniel Barbará, Ping Chen
2010 — conf
Hypothesis generation and data quality assessment through association mining.
IEEE ICCI
Ping Chen, Walter Garcia
2010 J jnl
Improving an undergraduate data mining course with real-world projects.
J. Comput. Sci. Coll.
Ping Chen, Irene Chen, Rakesh M. Verma
2010 — conf
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain.
SemEval@ACL
Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
2010 — conf
Word sense distribution in a web corpus.
IEEE ICCI
Ping Chen, David Brown, Andrew Tran, Noble Ozoka, Rafael Ortiz
2009 — conf
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge.
HLT-NAACL
Ping Chen, Wei Ding, Chris Bowes, David Brown
2009 J jnl
A Lexical Knowledge Representation Model for Natural Language Understanding.
Int. J. Softw. Sci. Comput. Intell.
Ping Chen, Wei Ding, Chengmin Ding
2009 B conf
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation.
ICTAI
Ping Chen, Wei Ding, Chris Bowes, David Brown
2008 J jnl
Application of word prediction and disambiguation to improve text entry for people with physical disabilities (assistive technology).
Int. J. Soc. Humanist. Comput.
Hisham Al-Mubaid, Ping Chen
2008 — conf
Parsing Tree Matching Based Question Answering.
TAC
Ping Chen, Timothy Simmons, Carlos Lacayo, Wei Ding
2008 Misc conf
Semantic Analysis of Association Rules.
FLAIRS
Ping Chen, Rakesh M. Verma, Janet C. Meininger, Wenyaw Chan
2008 — conf
Semantic Multi-Document Update Summarization Techniques.
TAC
Rakesh M. Verma, David Kent, Ping Chen
2006 B conf
A Query-Based Medical Information Summarization System Using Ontology Knowledge.
CBMS
Ping Chen, Rakesh M. Verma
2006 — conf
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation.
ITNG
Hisham Al-Mubaid, Ping Chen
2006 Misc conf
Context-based Term Disambiguation in Biomedical Literature.
FLAIRS
Ping Chen, Hisham Al-Mubaid
2006 — conf
Mining Executive Compensation Data from SEC Filings.
ICDE Workshops
Chengmin Ding, Ping Chen
2006 — conf
SenseNet: A Knowledge Representation Model for Computational Semantics.
IEEE ICCI
Ping Chen, Wei Ding, Chengmin Ding
2005 A conf
Context-based similar words detection and its application in specialized search engines.
IUI
Hisham Al-Mubaid, Ping Chen
2005 — ch.
Fractal Mining - Self Similarity-based Clustering and its Applications.
The Data Mining and Knowledge Discovery Handbook
Daniel Barbará, Ping Chen
2005 — conf
Web-Based Interactive Visualization of Data Cubes.
MSV
Xusheng Wang, Ping Chen, Wei Ding
2004 J jnl
Design of a distributed computer security lab.
J. Comput. Sci. Coll.
T. Andrew Yang, Kwok-Bun Yue, Morris M. Liaw, George Collins, Jayaraman T. Venkatraman, Swati Achar, Karthik Sadasivam, Ping Chen
2004 C conf
Generating and Applying Rules for Interval Valued Fuzzy Observations.
IDEAL
André de Korvin, Chenyi Hu, Ping Chen
2004 J jnl
Open courseware and computer science education.
J. Comput. Sci. Coll.
Kwok-Bun Yue, T. Andrew Yang, Wei Ding, Ping Chen
2004 B conf
Self-Similar Mining of Time Association Rules.
PAKDD
Daniel Barbará, Ping Chen, Zohreh Nazeri
2003 A* conf
Icon-based Visualization of Large High-Dimensional Datasets.
ICDM
Ping Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon
2003 J jnl
Using Self-Similarity to Cluster Large Data Sets.
Data Min. Knowl. Discov.
Daniel Barbará, Ping Chen
2002 B conf
Association analysis with interval valued fuzzy sets and body of evidence.
FUZZ-IEEE
Ping Chen, André de Korvin, Chenyi Hu
2001 Misc conf
Tracking Clusters in Evolving Data Sets.
FLAIRS
Daniel Barbará, Ping Chen
2000 A* conf
Using the fractal dimension to cluster datasets.
KDD
Daniel Barbará, Ping Chen