Using the fractal dimension to cluster datasets. - Daniel Barbará; Ping Chen 001 (KDD, 2000)

Tracking Clusters in Evolving Data Sets. - Daniel Barbará; Ping Chen 001 (FLAIRS, 2001)

Association analysis with interval valued fuzzy sets and body of evidence. - Ping Chen 001; André de Korvin; Chenyi Hu (FUZZ-IEEE, 2002)

Icon-based Visualization of Large High-Dimensional Datasets. - Ping Chen 001; Chenyi Hu; Wei Ding 003; Heloise Lynn; Yves Simon (ICDM, 2003)

Using Self-Similarity to Cluster Large Data Sets. - Daniel Barbará; Ping Chen 001 (Data Min. Knowl. Discov., 2003)

Generating and Applying Rules for Interval Valued Fuzzy Observations. - André de Korvin; Chenyi Hu; Ping Chen 001 (IDEAL, 2004)

Self-Similar Mining of Time Association Rules. - Daniel Barbará; Ping Chen 001; Zohreh Nazeri (PAKDD, 2004)

Design of a distributed computer security lab. - T. Andrew Yang; Kwok-Bun Yue; Morris M. Liaw; George Collins 002; Jayaraman T. Venkatraman; Swati Achar; Karthik Sadasivam; Ping Chen 001 (J. Comput. Sci. Coll., 2004)

Open courseware and computer science education. - Kwok-Bun Yue; T. Andrew Yang; Wei Ding 003; Ping Chen 001 (J. Comput. Sci. Coll., 2004)

Fractal Mining - Self Similarity-based Clustering and its Applications. - Daniel Barbará; Ping Chen 001 (The Data Mining and Knowledge Discovery Handbook, 2005)

Context-based similar words detection and its application in specialized search engines. - Hisham Al-Mubaid; Ping Chen 001 (IUI, 2005)

Web-Based Interactive Visualization of Data Cubes. - Xusheng Wang; Ping Chen 001; Wei Ding 003 (MSV, 2005)

SenseNet: A Knowledge Representation Model for Computational Semantics. - Ping Chen 001; Wei Ding 003; Chengmin Ding (IEEE ICCI, 2006)

A Query-Based Medical Information Summarization System Using Ontology Knowledge. - Ping Chen 001; Rakesh M. Verma (CBMS, 2006)

Context-based Term Disambiguation in Biomedical Literature. - Ping Chen 001; Hisham Al-Mubaid (FLAIRS, 2006)

Mining Executive Compensation Data from SEC Filings. - Chengmin Ding; Ping Chen 001 (ICDE Workshops, 2006)

Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation. - Hisham Al-Mubaid; Ping Chen 001 (ITNG, 2006)

Semantic Analysis of Association Rules. - Ping Chen 001; Rakesh M. Verma; Janet C. Meininger; Wenyaw Chan (FLAIRS, 2008)

Parsing Tree Matching Based Question Answering. - Ping Chen 001; Timothy Simmons; Carlos Lacayo; Wei Ding 003 (TAC, 2008)

Semantic Multi-Document Update Summarization Techniques. - Rakesh M. Verma; David Kent 003; Ping Chen 001 (TAC, 2008)

Application of word prediction and disambiguation to improve text entry for people with physical disabilities (assistive technology). - Hisham Al-Mubaid; Ping Chen 001 (Int. J. Soc. Humanist. Comput., 2008)

Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation. - Ping Chen 001; Wei Ding 003; Chris Bowes; David Brown (ICTAI, 2009)

A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge. - Ping Chen 001; Wei Ding 003; Chris Bowes; David Brown (HLT-NAACL, 2009)

A Lexical Knowledge Representation Model for Natural Language Understanding. - Ping Chen 001; Wei Ding 003; Chengmin Ding (Int. J. Softw. Sci. Comput. Intell., 2009)

Word sense distribution in a web corpus. - Ping Chen 001; David Brown; Andrew Tran; Noble Ozoka; Rafael Ortiz (IEEE ICCI, 2010)

Hypothesis generation and data quality assessment through association mining. - Ping Chen 001; Walter Garcia (IEEE ICCI, 2010)

Efficient algorithms based on relational queries to mine frequent graphs. - Walter Garcia; Carlos Ordonez 001; Kai Zhao; Ping Chen 001 (PIKM, 2010)

TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. - Andrew Tran; Chris Bowes; David Brown; Ping Chen 001; Max Choly; Wei Ding 003 (SemEval@ACL, 2010)

Improving an undergraduate data mining course with real-world projects. - Ping Chen 001; Irene Chen; Rakesh M. Verma (J. Comput. Sci. Coll., 2010)

Fractal Mining - Self Similarity-based Clustering and its Applications. - Daniel Barbará; Ping Chen 001 (Data Mining and Knowledge Discovery Handbook, 2010)

Adaptive Study Design Through Semantic Association Rule Analysis. - Ping Chen 001; Wei Ding 003; Walter Garcia (Int. J. Softw. Sci. Comput. Intell., 2011)

Designing an undergraduate data mining course by matching teaching strategies with student learning styles. - Ping Chen 001; Irene Chen; Rakesh M. Verma (J. Comput. Sci. Coll., 2011)

Effective Co-reference Resolution in Clinical Text. - David Hinote; Carlos Ramírez; Ping Chen 001 (IEA/AIE, 2012)

Word Sense Disambiguation with Automatically Acquired Knowledge. - Ping Chen 001; Chris Bowes; Wei Ding 003; Max Choly (IEEE Intell. Syst., 2012)

A data mining hypertextbook: design, implementation and experience. - Rakesh M. Verma; Ping Chen 001 (J. Comput. Sci. Coll., 2012)

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. - Dawei Wang 008; Wei Ding 003; Kui Yu; Xindong Wu 001; Ping Chen 001; David L. Small; Shafiqul Islam (KDD, 2013)

Introducing privacy in a data mining course (abstract only). - Lila Ghemri; Ping Chen 001 (SIGCSE, 2013)

Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns. - Dawei Wang 008; Wei Ding 003; Henry Z. Lo; Melissa Morabito; Ping Chen 001; Josue Salazar; Tomasz F. Stepinski (Comput. Environ. Urban Syst., 2013)

Access My Campus. - Kevin Michael Amaral; Ping Chen 001; William S. Carter; John Sanchez (ICOST, 2014)

Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning. - Chung-Hsien Yu; Wei Ding 003; Ping Chen 001; Melissa Morabito (PAKDD (2), 2014)

Extended Topic Model for Word Dependency. - Tong Wang 007; Vish Viswanath; Ping Chen 001 (ACL (2), 2015)

Biomedical relation extraction using stochastic difference equations. - Carl Tony Fakhry; Kourosh Zarringhalam; Ping Chen 001 (HPEC, 2015)

LDA Based Event Extraction: Detecting Influenza Epidemics Using Microblog. - Jingwei Li; Wayne Huang 001; Ping Chen 001 (ICDS, 2015)

Feature assembly method for extracting relations in Chinese. - Yanping Chen 010; Qinghua Zheng; Ping Chen 001 (Artif. Intell., 2015)

Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance. - Zhou Zhang 007; Yuewen Liu; Wei Ding 003; Wayne Wei Huang; Qin Su; Ping Chen 001 (Decis. Support Syst., 2015)

A Boundary Assembling Method for Chinese Entity-Mention Recognition. - Yanping Chen 010; Qinghua Zheng; Ping Chen 001 (IEEE Intell. Syst., 2015)

Compression and Data Mining. - Dan A. Simovici; Ping Chen 001; Tong Wang 007; Dan Pletea (J. Commun., 2015)

Text Simplification Using Neural Machine Translation. - Tong Wang 007; Ping Chen 001; John Rochford; Jipeng Qiang (AAAI, 2016)

A Comprehensive Literature Review on Big Data in Healthcare. - Jingwei Li; Wei Ding 003; Hsing Cheng; Ping Chen 001; Dehai Di; Wei Huang 031 (AMCIS, 2016)

Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes. - Kevin Michael Amaral; Ping Chen 001; Wei Ding 003; Rajani S. Sadasivam (ICDM Workshops, 2016)

Topic Discovery from Heterogeneous Texts. - Jipeng Qiang; Ping Chen 001; Wei Ding 003; Tong Wang 007; Fei Xie 002; Xindong Wu 001 (ICTAI, 2016)

A new evaluation measure using compression dissimilarity on text summarization. - Tong Wang 007; Ping Chen 001; Dan A. Simovici (Appl. Intell., 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 001; Daniel Ziemek; Kourosh Zarringhalam (BMC Bioinform., 2016)

An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification. - Tong Wang 007; Ping Chen 001; Kevin Michael Amaral; Jipeng Qiang (CoRR, 2016)

Multi-document summarization using closed patterns. - Jipeng Qiang; Ping Chen 001; Wei Ding 003; Fei Xie 002; Xindong Wu 001 (Knowl. Based Syst., 2016)

Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling. - Chung-Hsien Yu; Wei Ding 003; Melissa Morabito; Ping Chen 001 (IEEE Trans. Knowl. Data Eng., 2016)

Text Simplification and Pupillometry: An Exploratory Study. - Mina Shojaeizadeh; Soussan Djamasbi; Ping Chen 001; John Rochford (HCI (15), 2017)

Smoking Cessation Recruitment Analysis: A Case Study. - Wei Li 121; Xiaohui Cui; Kevin Michael Amaral; Rajani S. Sadasivam; Ping Chen 001 (ICBK, 2017)

Predicting the Quality of Short Narratives from Social Media. - Tong Wang 007; Ping Chen 001; Boyang Li 001 (IJCAI, 2017)

Topic Modeling over Short Texts by Incorporating Word Embeddings. - Jipeng Qiang; Ping Chen 001; Tong Wang 007; Xindong Wu 001 (PAKDD (2), 2017)

A Semantic QA-Based Approach for Text Summarization Evaluation. - Ping Chen 001; Fei Wu 022; Tong Wang 007 (CoRR, 2017)

Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer. - Jipeng Qiang; Wei Ding 003; John Quackenbush; Ping Chen 001 (CoRR, 2017)

A Set Space Model for Feature Calculus. - Yanping Chen 010; Qinghua Zheng; Ping Chen 001 (IEEE Intell. Syst., 2017)

A Semantic QA-Based Approach for Text Summarization Evaluation. - Ping Chen 001; Fei Wu 022; Tong Wang 007; Wei Ding 003 (AAAI, 2018)

Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. - Tianyu Kang; Kourosh Zarringhalam; Marieke L. Kuijjer; Ping Chen 001; John Quackenbush; Wei Ding 003 (ICDM, 2018)

Discovery of Rare Key Phrases. - Yanping Chen 010; Sha Liu; Qinghua Zheng; Ruizhang Huang; Yongbin Qin; Jiwei Qin; Ping Chen 001 (ICEBE, 2018)

A Set Space Model to Capture Structural Information of a Sentence. - Yanping Chen 010; Guorong Wang; Qinghua Zheng; Yongbin Qin; Ruizhang Huang; Ping Chen 001 (IEEE Access, 2019)

On Improving the accuracy with Auto-Encoder on Conjunctivitis. - Wei Li 121; Xiao Liu 004; Jin Liu 016; Ping Chen 001; Shaohua Wan 001; Xiaohui Cui (Appl. Soft Comput., 2019)

His-GAN: A histogram-based GAN model to improve data generation quality. - Wei Li 121; Wei Ding 003; Rajani S. Sadasivam; Xiaohui Cui; Ping Chen 001 (Neural Networks, 2019)

Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization. - Jipeng Qiang; Ping Chen 001; Wei Ding 003; Tong Wang 007; Fei Xie 002; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2019)

Catalysis Clustering with GAN by Incorporating Domain Knowledge. - Olga Andreeva; Wei Li 121; Wei Ding 003; Marieke L. Kuijjer; John Quackenbush; Ping Chen 001 (KDD, 2020)

A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network. - Tianyu Kang; Ping Chen 001; John Quackenbush; Wei Ding 003 (KDD, 2020)

A Boundary Assembling Method for Nested Biomedical Named Entity Recognition. - Yanping Chen 010; Ying Hu; Yijing Li; Ruizhang Huang; Yongbin Qin; Yuefei Wu; Qinghua Zheng; Ping Chen 001 (IEEE Access, 2020)

A Multi-Channel Deep Neural Network for Relation Extraction. - Yanping Chen 010; Kai Wang 075; Weizhe Yang; Yongbin Qin; Ruizhang Huang; Ping Chen 001 (IEEE Access, 2020)

Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer. - Jipeng Qiang; Wei Ding 003; Marieke L. Kuijjer; John Quackenbush; Ping Chen 001 (IEEE Access, 2020)

SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis. - Kevin Michael Amaral; Zihan Li; Wei Ding 003; Scott E. Crouter; Ping Chen 001 (CoRR, 2020)

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance. - Matthew Almeida; Wei Ding 003; Scott E. Crouter; Ping Chen 001 (CoRR, 2020)

A Boundary Regressing Model for Nested Named Entity Recognition. - Yanping Chen 010; Lefei Wu; Liyuan Deng; Yongbin Qing; Ruizhang Huang; Qinghua Zheng; Ping Chen 001 (CoRR, 2020)

Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model. - Yanping Chen 010; Yuefei Wu; Yongbin Qin; Ying Hu; Zeyu Wang; Ruizhang Huang; Xinyu Cheng; Ping Chen 001 (IEEE Intell. Syst., 2020)

NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis. - Wei Li 121; Jinlin Chen; Ping Chen 001; Lequan Yu; Xiaohui Cui; Yiwei Li; Fang Cheng; Wen Ouyang (Artif. Intell. Medicine, 2021)

Annotation of Chinese Predicate Heads and Relevant Elements. - Yanping Chen 010; Wenfan Jin; Yongbin Qin; Ruizhang Huang; Qinghua Zheng; Ping Chen 001 (CoRR, 2021)

Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance. - Matthew Almeida; Yong Zhuang; Wei Ding 003; Scott E. Crouter; Ping Chen 001 (ACM Trans. Knowl. Discov. Data, 2021)

Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. - Wenbin An; Feng Tian 002; Ping Chen 001; Siliang Tang; Qinghua Zheng; Qianying Wang (EMNLP, 2022)

Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems. - Yong Zhuang; Matthew Almeida; Wei Ding 003; Patrick D. Flynn; Shafiqul Islam; Ping Chen 001 (ICDM, 2022)

Fall risk assessment through a synergistic multi-source DNN learning model. - Olga Andreeva; Wei Ding 003; Suzanne G. Leveille; Yurun Cai; Ping Chen 001 (Artif. Intell. Medicine, 2022)

Maximizing Fairness in Deep Neural Networks via Mode Connectivity. - Olga Andreeva; Matthew Almeida; Wei Ding 003; Scott E. Crouter; Ping Chen 001 (IEEE Intell. Syst., 2022)

SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis. - Kevin Amaral; Zihan Li; Wei Ding 003; Scott E. Crouter; Ping Chen 001 (ACM Trans. Comput. Heal., 2022)

Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric. - Wei Li 121; Zhixuan Liang; Ping Ma 007; Ruobei Wang; Xiaohui Cui; Ping Chen 001 (IEEE Trans. Cybern., 2022)

Generalized Category Discovery with Decoupled Prototypical Network. - Wenbin An; Feng Tian 002; Qinghua Zheng; Wei Ding 003; Qianying Wang; Ping Chen 001 (AAAI, 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 001; Wei Ding 003 (IEEE Big Data, 2023)

DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. - Wenbin An; Feng Tian 002; Wenkai Shi; Yan Chen 031; Qinghua Zheng; Qianying Wang; Ping Chen 001 (EMNLP, 2023)

A Diffusion Weighted Graph Framework for New Intent Discovery. - Wenkai Shi; Wenbin An; Feng Tian 002; Qinghua Zheng; Qianying Wang; Ping Chen 001 (EMNLP, 2023)

New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. - Wenbin An; Feng Tian 002; Ping Chen 001; Qinghua Zheng; Wei Ding 003 (IEEE Intell. Syst., 2023)

A Controlled Attention for Nested Named Entity Recognition. - Yanping Chen 010; Rong Huang; Lijun Pan; Ruizhang Huang; Qinghua Zheng; Ping Chen 001 (Cogn. Comput., 2023)

Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network. - Wenbin An; Feng Tian 002; Ping Chen 001; Qinghua Zheng (IEEE Trans. Comput. Soc. Syst., 2023)

A Boundary Regression Model for Nested Named Entity Recognition. - Yanping Chen 010; Lefei Wu; Qinghua Zheng; Ruizhang Huang; Jun Liu 002; Liyuan Deng; Junhui Yu; Yongbin Qing; Bo Dong 001; Ping Chen 001 (Cogn. Comput., 2023)

EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation. - Wei Li 121; Jinlin Chen; Jiannong Cao 001; Chao Ma 008; Jia Wang 009; Xiaohui Cui; Ping Chen 001 (IEEE Trans. Ind. Informatics, 2023)

Full-span named entity recognition with boundary regression. - Junhui Yu; Yanping Chen 010; Qinghua Zheng; Yuefei Wu; Ping Chen 001 (Connect. Sci., 2023)

Transfer and Alignment Network for Generalized Category Discovery. - Wenbin An; Feng Tian 002; Wenkai Shi; Yan Chen 031; Yaqiang Wu; Qianying Wang; Ping Chen 001 (AAAI, 2024)

A Unified Knowledge Transfer Network for Generalized Category Discovery. - Wenkai Shi; Wenbin An; Feng Tian 002; Yan Chen 031; Yaqiang Wu; Qianying Wang; Ping Chen 001 (AAAI, 2024)

Generalized Category Discovery with Large Language Models in the Loop. - Wenbin An; Wenkai Shi; Feng Tian 002; Haonan Lin; Qianying Wang; Yaqiang Wu; Mingxiang Cai; Luyan Wang; Yan Chen 031; Haiping Zhu; Ping Chen 001 (ACL (Findings), 2024)

A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery. - Haonan Lin; Wenbin An; Yan Chen 031; Feng Tian 002; Yuzhe Yao; Wei Ding 003; Qianying Wang; Ping Chen 001 (ICME, 2024)

A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification. - Zihan Li; Wei Ding 003; Inal Mashukov; Scott E. Crouter; Ping Chen 001 (PAKDD (6), 2024)

AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. - Wenbin An; Feng Tian 002; Sicong Leng; Jiahao Nie 002; Haonan Lin; Qianying Wang; Guang Dai; Ping Chen 001; Shijian Lu (CoRR, 2024)

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models. - Wenbin An; Feng Tian 002; Jiahao Nie 002; Wenkai Shi; Haonan Lin; Yan Chen 031; Qianying Wang; Yaqiang Wu; Guang Dai; Ping Chen 001 (CoRR, 2024)

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future. - Shilin Sun; Wenbin An; Feng Tian 002; Fang Nan; Qidong Liu 002; Jun Liu 002; Nazaraf Shah; Ping Chen 001 (CoRR, 2024)

DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery. - Wenbin An; Feng Tian 002; Wenkai Shi; Haonan Lin; Yaqiang Wu; Mingxiang Cai; Luyan Wang; Hua Wen; Lei Yao; Ping Chen 001 (Knowl. Based Syst., 2024)

Learning path recommendation with multi-behavior user modeling and cascading deep Q networks. - Dailusi Ma; Haiping Zhu; Siji Liao; Yan Chen 031; Jun Liu 002; Feng Tian 002; Ping Chen 001 (Knowl. Based Syst., 2024)

CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability. - Tianyu Kang; Wei Ding 003; Ping Chen 001 (Neural Networks, 2024)

SIG: Graph-Based Cancer Subtype Stratification With Gene Mutation Structural Information. - Chengcheng Zhang; Wei Li 121; Ming Deng; Yizhang Jiang; Xiaohui Cui; Ping Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks. - Wei Li 121; Wei Liu; Jinlin Chen; Libing Wu; Patrick D. Flynn; Wei Ding 003; Ping Chen 001 (IEEE Trans. Cybern., 2024)

DW-GAN: Toward High-Fidelity Color-Tones of GAN-Generated Images With Dynamic Weights. - Wei Li 121; Chengchun Gu; Jinlin Chen; Chao Ma 008; Xiaowu Zhang; Bin Chen; Ping Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unleashing the Potential of Model Bias for Generalized Category Discovery. - Wenbin An; Haonan Lin; Jiahao Nie 002; Feng Tian 002; Wenkai Shi; Yaqiang Wu; Qianying Wang; Ping Chen 001 (AAAI, 2025)

Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. - Wenbin An; Feng Tian 002; Sicong Leng; Jiahao Nie 002; Haonan Lin; Qianying Wang; Ping Chen 001; Xiaoqin Zhang; Shijian Lu (CVPR, 2025)

Improving Generalization in Deep Neural Networks by Mitigating Memorization. - Yong Zhuang; Tianyu Kang; Zhen Lu; Wei Ding 003; Ping Chen 001 (PAKDD (2), 2025)

Automatically learning linguistic structures for entity relation extraction. - Weizhe Yang; Yanping Chen 010; Jinling Xu; Yongbin Qin; Ping Chen 001 (Inf. Process. Manag., 2025)