Ping Chen

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 59

Top Topics

Smoking Cessation

Named Entity Recognition

Relation Extraction

Top Venues

IEEE Intell. Syst.

Publications

Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
A Unified Knowledge Transfer Network for Generalized Category Discovery. AAAI (2024)
Tianyu Kang, Wei Ding, Ping Chen
CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability. Neural Networks 172 (2024)
Wei Li, Wei Liu, Jinlin Chen, Libing Wu, Patrick D. Flynn, Wei Ding, Ping Chen
Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks. IEEE Trans. Cybern. 54 (8) (2024)
Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen
Generalized Category Discovery with Large Language Models in the Loop. ACL (Findings) (2024)
Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter, Ping Chen
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification. PAKDD (6) (2024)
Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Guang Dai, Ping Chen, Shijian Lu
AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. CoRR (2024)
Dailusi Ma, Haiping Zhu, Siji Liao, Yan Chen, Jun Liu, Feng Tian, Ping Chen
Learning path recommendation with multi-behavior user modeling and cascading deep Q networks. Knowl. Based Syst. 294 (2024)
Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
Transfer and Alignment Network for Generalized Category Discovery. AAAI (2024)
Wenbin An, Feng Tian, Wenkai Shi, Haonan Lin, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Hua Wen, Lei Yao, Ping Chen
DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery. Knowl. Based Syst. 293 (2024)
Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, Qianying Wang, Yaqiang Wu, Guang Dai, Ping Chen
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models. CoRR (2024)
Wei Li, Jinlin Chen, Jiannong Cao, Chao Ma, Jia Wang, Xiaohui Cui, Ping Chen
EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation. IEEE Trans. Ind. Informatics 19 (3) (2023)
Junhui Yu, Yanping Chen, Qinghua Zheng, Yuefei Wu, Ping Chen
Full-span named entity recognition with boundary regression. Connect. Sci. 35 (1) (2023)
Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng
Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. IEEE Intell. Syst. 38 (4) (2023)
Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen
A Boundary Regression Model for Nested Named Entity Recognition. Cogn. Comput. 15 (2) (2023)
Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, QianYing Wang, Ping Chen
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. EMNLP (2023)
Yanping Chen, Rong Huang, Lijun Pan, Ruizhang Huang, Qinghua Zheng, Ping Chen
A Controlled Attention for Nested Named Entity Recognition. Cogn. Comput. 15 (1) (2023)
Kevin Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen
SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis. ACM Trans. Comput. Heal. 3 (4) (2022)
Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen
Maximizing Fairness in Deep Neural Networks via Mode Connectivity. IEEE Intell. Syst. 37 (3) (2022)
Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, QianYing Wang
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. EMNLP (2022)
Olga Andreeva, Wei Ding, Suzanne G. Leveille, Yurun Cai, Ping Chen
Fall risk assessment through a synergistic multi-source DNN learning model. Artif. Intell. Medicine 127 (2022)
Wei Li, Zhixuan Liang, Ping Ma, Ruobei Wang, Xiaohui Cui, Ping Chen
Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric. IEEE Trans. Cybern. 52 (10) (2022)
Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems. ICDM (2022)
Wei Li, Jinlin Chen, Ping Chen, Lequan Yu, Xiaohui Cui, Yiwei Li, Fang Cheng, Wen Ouyang
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis. Artif. Intell. Medicine 117 (2021)
Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance. ACM Trans. Knowl. Discov. Data 15 (2) (2021)
Yanping Chen, Wenfan Jin, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen
Annotation of Chinese Predicate Heads and Relevant Elements. CoRR (2021)
Jipeng Qiang, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer. IEEE Access 8 (2020)
Olga Andreeva, Wei Li, Wei Ding, Marieke L. Kuijjer, John Quackenbush, Ping Chen
Catalysis Clustering with GAN by Incorporating Domain Knowledge. KDD (2020)
Yanping Chen, Yuefei Wu, Yongbin Qin, Ying Hu, Zeyu Wang, Ruizhang Huang, Xinyu Cheng, Ping Chen
Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model. IEEE Intell. Syst. 35 (1) (2020)
Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance. CoRR (2020)
Yanping Chen, Lefei Wu, Liyuan Deng, Yongbin Qing, Ruizhang Huang, Qinghua Zheng, Ping Chen
A Boundary Regressing Model for Nested Named Entity Recognition. CoRR (2020)
Yanping Chen, Ying Hu, Yijing Li, Ruizhang Huang, Yongbin Qin, Yuefei Wu, Qinghua Zheng, Ping Chen
A Boundary Assembling Method for Nested Biomedical Named Entity Recognition. IEEE Access 8 (2020)
Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis. CoRR (2020)
Yanping Chen, Kai Wang, Weizhe Yang, Yongbin Qin, Ruizhang Huang, Ping Chen
A Multi-Channel Deep Neural Network for Relation Extraction. IEEE Access 8 (2020)
Tianyu Kang, Ping Chen, John Quackenbush, Wei Ding
A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network. KDD (2020)
Yanping Chen, Guorong Wang, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Ping Chen
A Set Space Model to Capture Structural Information of a Sentence. IEEE Access 7 (2019)
Wei Li, Wei Ding, Rajani S. Sadasivam, Xiaohui Cui, Ping Chen
His-GAN: A histogram-based GAN model to improve data generation quality. Neural Networks 119 (2019)
Wei Li, Xiao Liu, Jin Liu, Ping Chen, Shaohua Wan, Xiaohui Cui
On Improving the accuracy with Auto-Encoder on Conjunctivitis. Appl. Soft Comput. 81 (2019)
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization. ACM Trans. Knowl. Discov. Data 13 (4) (2019)
Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer, Ping Chen, John Quackenbush, Wei Ding
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. ICDM (2018)
Ping Chen, Fei Wu, Tong Wang, Wei Ding
A Semantic QA-Based Approach for Text Summarization Evaluation. AAAI (2018)
Yanping Chen, Sha Liu, Qinghua Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen
Discovery of Rare Key Phrases. ICEBE (2018)
Tong Wang, Ping Chen, Boyang Li
Predicting the Quality of Short Narratives from Social Media. CoRR (2017)
Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu
Topic Modeling over Short Texts by Incorporating Word Embeddings. PAKDD (2) (2017)
Wei Li, Xiaohui Cui, Kevin Michael Amaral, Rajani S. Sadasivam, Ping Chen
Smoking Cessation Recruitment Analysis: A Case Study. ICBK (2017)
Ping Chen, Fei Wu, Tong Wang
A Semantic QA-Based Approach for Text Summarization Evaluation. CoRR (2017)
Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer. CoRR (2017)
Yanping Chen, Qinghua Zheng, Ping Chen
A Set Space Model for Feature Calculus. IEEE Intell. Syst. 32 (5) (2017)
Tong Wang, Ping Chen, Boyang Li
Predicting the Quality of Short Narratives from Social Media. IJCAI (2017)
Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang
A Comprehensive Literature Review on Big Data in Healthcare. AMCIS (2016)
Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu
Multi-document summarization using closed patterns. Knowl. Based Syst. 99 (2016)
Carl Tony Fakhry, Parul Choudhary, Alex Gutteridge, Ben Sidders, Ping Chen, Daniel Ziemek, Kourosh Zarringhalam
Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks. BMC Bioinform. 17 (2016)
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
Topic Discovery from Heterogeneous Texts. ICTAI (2016)
Tong Wang, Ping Chen, Kevin Michael Amaral, Jipeng Qiang
An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification. CoRR (2016)
Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling. IEEE Trans. Knowl. Data Eng. 28 (4) (2016)
Kevin Michael Amaral, Ping Chen, Wei Ding, Rajani S. Sadasivam
Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes. ICDM Workshops (2016)
Tong Wang, Ping Chen, John Rochford, Jipeng Qiang
Text Simplification Using Neural Machine Translation. AAAI (2016)
Tong Wang, Ping Chen, Dan A. Simovici
A new evaluation measure using compression dissimilarity on text summarization. Appl. Intell. 45 (1) (2016)
Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu
Topic Modeling over Short Texts by Incorporating Word Embeddings. CoRR (2016)
Dan A. Simovici, Tong Wang, Ping Chen, Dan Pletea
Compression and data mining. ICNC (2015)
Yanping Chen, Qinghua Zheng, Ping Chen
A Boundary Assembling Method for Chinese Entity-Mention Recognition. IEEE Intell. Syst. 30 (6) (2015)
Jingwei Li, Wayne Huang, Ping Chen
LDA Based Event Extraction: Detecting Influenza Epidemics Using Microblog. ICDS (2015)
Tong Wang, Vish Viswanath, Ping Chen
Extended Topic Model for Word Dependency. ACL (2) (2015)
Dan A. Simovici, Ping Chen, Tong Wang, Dan Pletea
Compression and Data Mining. J. Commun. 10 (9) (2015)
Carl Tony Fakhry, Kourosh Zarringhalam, Ping Chen
Biomedical relation extraction using stochastic difference equations. HPEC (2015)
Zhou Zhang, Yuewen Liu, Wei Ding, Wayne Wei Huang, Qin Su, Ping Chen
Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance. Decis. Support Syst. 79 (2015)
Yanping Chen, Qinghua Zheng, Ping Chen
Feature assembly method for extracting relations in Chinese. Artif. Intell. 228 (2015)
Kevin Michael Amaral, Ping Chen, William S. Carter, John Sanchez
Access My Campus. ICOST (2014)
Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning. PAKDD (2) (2014)
Dawei Wang, Wei Ding, Henry Z. Lo, Melissa Morabito, Ping Chen, Josue Salazar, Tomasz F. Stepinski
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns. Comput. Environ. Urban Syst. 39 (2013)
Lila Ghemri, Ping Chen
Introducing privacy in a data mining course (abstract only). SIGCSE (2013)
Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. KDD (2013)
David Hinote, Carlos Ramírez, Ping Chen
Effective Co-reference Resolution in Clinical Text. IEA/AIE (2012)
Ping Chen, Chris Bowes, Wei Ding, Max Choly
Word Sense Disambiguation with Automatically Acquired Knowledge. IEEE Intell. Syst. 27 (4) (2012)
Ping Chen, Wei Ding, Walter Garcia
Adaptive Study Design Through Semantic Association Rule Analysis. Int. J. Softw. Sci. Comput. Intell. 3 (2) (2011)
Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. SemEval@ACL (2010)
Ping Chen, David Brown, Andrew Tran, Noble Ozoka, Rafael Ortiz
Word sense distribution in a web corpus. IEEE ICCI (2010)
Ping Chen, Walter Garcia
Hypothesis generation and data quality assessment through association mining. IEEE ICCI (2010)
Walter Garcia, Carlos Ordonez, Kai Zhao, Ping Chen
Efficient algorithms based on relational queries to mine frequent graphs. PIKM (2010)
Ping Chen, Wei Ding, Chris Bowes, David Brown
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge. HLT-NAACL (2009)
Ping Chen, Wei Ding, Chengmin Ding
A Lexical Knowledge Representation Model for Natural Language Understanding. Int. J. Softw. Sci. Comput. Intell. 1 (4) (2009)
Ping Chen, Wei Ding, Chris Bowes, David Brown
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation. ICTAI (2009)
Ping Chen, Timothy Simmons, Carlos Lacayo, Wei Ding
Parsing Tree Matching Based Question Answering. TAC (2008)
Hisham Al-Mubaid, Ping Chen
Application of word prediction and disambiguation to improve text entry for people with physical disabilities (assistive technology). Int. J. Soc. Humanist. Comput. 1 (1) (2008)
Ping Chen, Hisham Al-Mubaid
Context-based Term Disambiguation in Biomedical Literature. FLAIRS Conference (2006)
Chengmin Ding, Ping Chen
Mining Executive Compensation Data from SEC Filings. ICDE Workshops (2006)
Ping Chen, Wei Ding, Chengmin Ding
SenseNet: A Knowledge Representation Model for Computational Semantics. IEEE ICCI (2006)
Hisham Al-Mubaid, Ping Chen
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation. ITNG (2006)
Xusheng Wang, Ping Chen, Wei Ding
Web-Based Interactive Visualization of Data Cubes. MSV (2005)
Hisham Al-Mubaid, Ping Chen
Context-based similar words detection and its application in specialized search engines. IUI (2005)
Daniel Barbará, Ping Chen, Zohreh Nazeri
Self-Similar Mining of Time Association Rules. PAKDD (2004)
André de Korvin, Chenyi Hu, Ping Chen
Generating and Applying Rules for Interval Valued Fuzzy Observations. IDEAL (2004)
Daniel Barbará, Ping Chen
Using Self-Similarity to Cluster Large Data Sets. Data Min. Knowl. Discov. 7 (2) (2003)
Ping Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon
Icon-based Visualization of Large High-Dimensional Datasets. ICDM (2003)
Ping Chen, André de Korvin, Chenyi Hu
Association analysis with interval valued fuzzy sets and body of evidence. FUZZ-IEEE (2002)
Daniel Barbará, Ping Chen
Tracking Clusters in Evolving Data Sets. FLAIRS Conference (2001)
Daniel Barbará, Ping Chen
Using the fractal dimension to cluster datasets. KDD (2000)