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Ping Chen 0001
Person information
- affiliation: University of Massachusetts Boston, Department of Computer Science, MA, USA
- affiliation (2001 - 2013): University of Houston-Downtown, Department of Computer and Mathematical Sciences, TX, USA
- affiliation (PhD 2001): George Mason University, Fairfax, VA, USA
Other persons with the same name
- Ping Chen — disambiguation page
- Ping Chen 0002 — Peking University, Beijing, China
- Ping Chen 0003
— Fudan University, Institute for Big Data, Shanghai, China (and 3 more)
- Ping Chen 0004
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2020 – today
- 2025
- [j42]Weizhe Yang
Automatically learning linguistic structures for entity relation extraction. Inf. Process. Manag. 62(1): 103904 (2025) - 2024
- [j41]Wenbin An, Feng Tian
DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery. Knowl. Based Syst. 293: 111666 (2024) - [j40]Dailusi Ma, Haiping Zhu, Siji Liao, Yan Chen, Jun Liu
Learning path recommendation with multi-behavior user modeling and cascading deep Q networks. Knowl. Based Syst. 294: 111743 (2024) - [j39]Tianyu Kang, Wei Ding, Ping Chen
CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability. Neural Networks 172: 106067 (2024) - [j38]Chengcheng Zhang, Wei Li, Ming Deng, Yizhang Jiang, Xiaohui Cui, Ping Chen:
SIG: Graph-Based Cancer Subtype Stratification With Gene Mutation Structural Information. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1752-1764 (2024) - [j37]Wei Li, Wei Liu
Reducing Mode Collapse With Monge-Kantorovich Optimal Transport for Generative Adversarial Networks. IEEE Trans. Cybern. 54(8): 4539-4552 (2024) - [j36]Wei Li
DW-GAN: Toward High-Fidelity Color-Tones of GAN-Generated Images With Dynamic Weights. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18090-18104 (2024) - [c50]Wenbin An, Feng Tian
Transfer and Alignment Network for Generalized Category Discovery. AAAI 2024: 10856-10864 - [c49]Wenkai Shi, Wenbin An, Feng Tian
A Unified Knowledge Transfer Network for Generalized Category Discovery. AAAI 2024: 18961-18969 - [c48]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: 8653-8665 - [c47]Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification. PAKDD (6) 2024: 239-250 - [i18]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 abs/2406.12718 (2024) - [i17]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 abs/2407.15346 (2024) - 2023
- [j35]Yanping Chen
A Controlled Attention for Nested Named Entity Recognition. Cogn. Comput. 15(1): 132-145 (2023) - [j34]Yanping Chen
A Boundary Regression Model for Nested Named Entity Recognition. Cogn. Comput. 15(2): 534-551 (2023) - [j33]Junhui Yu
Full-span named entity recognition with boundary regression. Connect. Sci. 35(1) (2023) - [j32]Wenbin An
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. IEEE Intell. Syst. 38(4): 21-31 (2023) - [j31]Wenbin An
Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network. IEEE Trans. Comput. Soc. Syst. 10(1): 403-412 (2023) - [j30]Wei Li
EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation. IEEE Trans. Ind. Informatics 19(3): 3208-3218 (2023) - [c46]Wenbin An
Generalized Category Discovery with Decoupled Prototypical Network. AAAI 2023: 12527-12535 - [c45]Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding:
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. IEEE Big Data 2023: 1031-1038 - [c44]Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen:
A Diffusion Weighted Graph Framework for New Intent Discovery. EMNLP 2023: 8033-8042 - [c43]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: 12292-12302 - [i16]Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen:
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. CoRR abs/2310.10151 (2023) - [i15]Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen:
A Diffusion Weighted Graph Framework for New Intent Discovery. CoRR abs/2310.15836 (2023) - [i14]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. CoRR abs/2312.10897 (2023) - [i13]Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen:
Transfer and Alignment Network for Generalized Category Discovery. CoRR abs/2312.16467 (2023) - 2022
- [j29]Olga Andreeva, Wei Ding, Suzanne G. Leveille, Yurun Cai
Fall risk assessment through a synergistic multi-source DNN learning model. Artif. Intell. Medicine 127: 102280 (2022) - [j28]Olga Andreeva
Maximizing Fairness in Deep Neural Networks via Mode Connectivity. IEEE Intell. Syst. 37(3): 36-44 (2022) - [j27]Kevin Amaral
SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis. ACM Trans. Comput. Heal. 3(4): 47:1-47:15 (2022) - [j26]Wei Li
Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric. IEEE Trans. Cybern. 52(10): 10407-10419 (2022) - [c42]Wenbin An
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. EMNLP 2022: 1314-1323 - [c41]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: 833-842 - [i12]Wenbin An, Feng Tian
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. CoRR abs/2210.07733 (2022) - [i11]Wenbin An, Feng Tian
Generalized Category Discovery with Decoupled Prototypical Network. CoRR abs/2211.15115 (2022) - 2021
- [j25]Wei Li, Jinlin Chen, Ping Chen, Lequan Yu
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis. Artif. Intell. Medicine 117: 102082 (2021) - [j24]Matthew Almeida, Yong Zhuang, Wei Ding
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance. ACM Trans. Knowl. Discov. Data 15(2): 27:1-27:18 (2021) - [i10]Yanping Chen, Wenfan Jin, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen:
Annotation of Chinese Predicate Heads and Relevant Elements. CoRR abs/2103.12280 (2021) - 2020
- [j23]Yanping Chen, Kai Wang
A Multi-Channel Deep Neural Network for Relation Extraction. IEEE Access 8: 13195-13203 (2020) - [j22]Jipeng Qiang
Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer. IEEE Access 8: 67775-67789 (2020) - [j21]Yanping Chen
A Boundary Assembling Method for Nested Biomedical Named Entity Recognition. IEEE Access 8: 214141-214152 (2020) - [j20]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): 74-81 (2020) - [c40]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: 1316-1324 - [c39]Olga Andreeva
Catalysis Clustering with GAN by Incorporating Domain Knowledge. KDD 2020: 1344-1352 - [i9]Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen:
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis. CoRR abs/2002.09000 (2020) - [i8]Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen:
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance. CoRR abs/2002.09963 (2020) - [i7]Yanping Chen, Lefei Wu, Liyuan Deng, Yongbin Qing, Ruizhang Huang, Qinghua Zheng, Ping Chen:
A Boundary Regressing Model for Nested Named Entity Recognition. CoRR abs/2011.14330 (2020)
2010 – 2019
- 2019
- [j19]Yanping Chen, Guorong Wang
A Set Space Model to Capture Structural Information of a Sentence. IEEE Access 7: 142515-142530 (2019) - [j18]Wei Li, Xiao Liu, Jin Liu, Ping Chen, Shaohua Wan
On Improving the accuracy with Auto-Encoder on Conjunctivitis. Appl. Soft Comput. 81 (2019) - [j17]Wei Li
His-GAN: A histogram-based GAN model to improve data generation quality. Neural Networks 119: 31-45 (2019) - [j16]Jipeng Qiang
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization. ACM Trans. Knowl. Discov. Data 13(4): 42:1-42:21 (2019) - 2018
- [c38]Ping Chen, Fei Wu, Tong Wang, Wei Ding:
A Semantic QA-Based Approach for Text Summarization Evaluation. AAAI 2018: 4800-4807 - [c37]Tianyu Kang, Kourosh Zarringhalam, Marieke L. Kuijjer
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. ICDM 2018: 1079-1084 - [c36]Yanping Chen, Sha Liu, Qinghua Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen:
Discovery of Rare Key Phrases. ICEBE 2018: 127-132 - 2017
- [j15]Yanping Chen, Qinghua Zheng, Ping Chen:
A Set Space Model for Feature Calculus. IEEE Intell. Syst. 32(5): 36-42 (2017) - [c35]Mina Shojaeizadeh, Soussan Djamasbi
Text Simplification and Pupillometry: An Exploratory Study. HCI (15) 2017: 65-77 - [c34]Wei Li, Xiaohui Cui, Kevin Michael Amaral, Rajani S. Sadasivam, Ping Chen:
Smoking Cessation Recruitment Analysis: A Case Study. ICBK 2017: 202-207 - [c33]Tong Wang, Ping Chen, Boyang Li
Predicting the Quality of Short Narratives from Social Media. IJCAI 2017: 3859-3865 - [c32]Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu:
Topic Modeling over Short Texts by Incorporating Word Embeddings. PAKDD (2) 2017: 363-374 - [i6]Jipeng Qiang, Wei Ding, John Quackenbush, Ping Chen:
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer. CoRR abs/1703.01900 (2017) - [i5]Ping Chen, Fei Wu, Tong Wang:
A Semantic QA-Based Approach for Text Summarization Evaluation. CoRR abs/1704.06259 (2017) - [i4]Tong Wang, Ping Chen, Boyang Li:
Predicting the Quality of Short Narratives from Social Media. CoRR abs/1707.02499 (2017) - 2016
- [j14]Tong Wang, Ping Chen, Dan A. Simovici:
A new evaluation measure using compression dissimilarity on text summarization. Appl. Intell. 45(1): 127-134 (2016) - [j13]Carl Tony Fakhry, Parul Choudhary, Alex Gutteridge
Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks. BMC Bioinform. 17: 318 (2016) - [j12]Jipeng Qiang, Ping Chen, Wei Ding
Multi-document summarization using closed patterns. Knowl. Based Syst. 99: 28-38 (2016) - [j11]Chung-Hsien Yu
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling. IEEE Trans. Knowl. Data Eng. 28(4): 979-993 (2016) - [c31]Tong Wang, Ping Chen, John Rochford, Jipeng Qiang:
Text Simplification Using Neural Machine Translation. AAAI 2016: 4270-4271 - [c30]Jingwei Li, Wei Ding, Hsing Cheng, Ping Chen, Dehai Di, Wei Huang:
A Comprehensive Literature Review on Big Data in Healthcare. AMCIS 2016 - [c29]Kevin Michael Amaral, Ping Chen, Wei Ding
Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes. ICDM Workshops 2016: 1179-1182 - [c28]Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu:
Topic Discovery from Heterogeneous Texts. ICTAI 2016: 196-203 - [i3]Tong Wang, Ping Chen, Kevin Michael Amaral, Jipeng Qiang:
An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification. CoRR abs/1609.03663 (2016) - [i2]Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu:
Topic Modeling over Short Texts by Incorporating Word Embeddings. CoRR abs/1609.08496 (2016) - 2015
- [j10]Yanping Chen, Qinghua Zheng, Ping Chen:
Feature assembly method for extracting relations in Chinese. Artif. Intell. 228: 179-194 (2015) - [j9]Zhou Zhang, Yuewen Liu, Wei Ding
Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance. Decis. Support Syst. 79: 46-54 (2015) - [j8]Yanping Chen, Qinghua Zheng, Ping Chen:
A Boundary Assembling Method for Chinese Entity-Mention Recognition. IEEE Intell. Syst. 30(6): 50-58 (2015) - [j7]Dan A. Simovici, Ping Chen, Tong Wang, Dan Pletea:
Compression and Data Mining. J. Commun. 10(9): 677-684 (2015) - [c27]Tong Wang, Vish Viswanath, Ping Chen:
Extended Topic Model for Word Dependency. ACL (2) 2015: 506-510 - [c26]Carl Tony Fakhry, Kourosh Zarringhalam, Ping Chen:
Biomedical relation extraction using stochastic difference equations. HPEC 2015: 1-6 - [c25]Dan A. Simovici, Tong Wang, Ping Chen, Dan Pletea:
Compression and data mining. ICNC 2015: 551-555 - [c24]Jingwei Li, Wayne Huang, Ping Chen:
LDA Based Event Extraction: Detecting Influenza Epidemics Using Microblog. ICDS 2015: 30-33 - 2014
- [c23]Kevin Michael Amaral, Ping Chen, William S. Carter, John Sanchez:
Access My Campus. ICOST 2014: 238-241 - [c22]Chung-Hsien Yu, Wei Ding
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning. PAKDD (2) 2014: 174-185 - 2013
- [j6]Dawei Wang, Wei Ding
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns. Comput. Environ. Urban Syst. 39: 93-106 (2013) - [c21]Dawei Wang, Wei Ding
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. KDD 2013: 1285-1293 - [c20]Lila Ghemri, Ping Chen:
Introducing privacy in a data mining course (abstract only). SIGCSE 2013: 740 - 2012
- [j5]Ping Chen, Chris Bowes, Wei Ding
Word Sense Disambiguation with Automatically Acquired Knowledge. IEEE Intell. Syst. 27(4): 46-55 (2012) - [c19]David Hinote, Carlos Ramírez, Ping Chen:
Effective Co-reference Resolution in Clinical Text. IEA/AIE 2012: 302-312 - 2011
- [j4]Ping Chen, Wei Ding, Walter Garcia:
Adaptive Study Design Through Semantic Association Rule Analysis. Int. J. Softw. Sci. Comput. Intell. 3(2): 34-48 (2011) - 2010
- [c18]Ping Chen, David Brown, Andrew Tran, Noble Ozoka, Rafael Ortiz:
Word sense distribution in a web corpus. IEEE ICCI 2010: 449-453 - [c17]Ping Chen, Walter Garcia:
Hypothesis generation and data quality assessment through association mining. IEEE ICCI 2010: 659-666 - [c16]Walter Garcia, Carlos Ordonez, Kai Zhao, Ping Chen:
Efficient algorithms based on relational queries to mine frequent graphs. PIKM 2010: 17-24 - [c15]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: 396-401 - [p2]Daniel Barbará, Ping Chen:
Fractal Mining - Self Similarity-based Clustering and its Applications. Data Mining and Knowledge Discovery Handbook 2010: 573-589
2000 – 2009
- 2009
- [j3]Ping Chen, Wei Ding, Chengmin Ding:
A Lexical Knowledge Representation Model for Natural Language Understanding. Int. J. Softw. Sci. Comput. Intell. 1(4): 17-35 (2009) - [c14]Ping Chen, Wei Ding
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation. ICTAI 2009: 314-318 - [c13]Ping Chen, Wei Ding, Chris Bowes, David Brown:
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge. HLT-NAACL 2009: 28-36 - 2008
- [j2]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): 10-27 (2008) - [i1]Ping Chen, Timothy Simmons, Carlos Lacayo, Wei Ding:
Parsing Tree Matching Based Question Answering. TAC 2008 - 2006
- [c12]Ping Chen, Wei Ding
SenseNet: A Knowledge Representation Model for Computational Semantics. IEEE ICCI 2006: 434-439 - [c11]Ping Chen, Hisham Al-Mubaid:
Context-based Term Disambiguation in Biomedical Literature. FLAIRS 2006: 62-67 - [c10]Chengmin Ding, Ping Chen:
Mining Executive Compensation Data from SEC Filings. ICDE Workshops 2006: 49 - [c9]Hisham Al-Mubaid
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation. ITNG 2006: 606-612 - 2005
- [c8]Hisham Al-Mubaid
Context-based similar words detection and its application in specialized search engines. IUI 2005: 260-262 - [c7]Xusheng Wang, Ping Chen, Wei Ding:
Web-Based Interactive Visualization of Data Cubes. MSV 2005: 136-143 - [p1]Daniel Barbará, Ping Chen:
Fractal Mining - Self Similarity-based Clustering and its Applications. The Data Mining and Knowledge Discovery Handbook 2005: 627-647 - 2004
- [c6]André de Korvin, Chenyi Hu
Generating and Applying Rules for Interval Valued Fuzzy Observations. IDEAL 2004: 279-284 - [c5]Daniel Barbará, Ping Chen, Zohreh Nazeri:
Self-Similar Mining of Time Association Rules. PAKDD 2004: 86-95 - 2003
- [j1]Daniel Barbará, Ping Chen:
Using Self-Similarity to Cluster Large Data Sets. Data Min. Knowl. Discov. 7(2): 123-152 (2003) - [c4]Ping Chen, Chenyi Hu
Icon-based Visualization of Large High-Dimensional Datasets. ICDM 2003: 505-508 - 2002
- [c3]Ping Chen, André de Korvin, Chenyi Hu
Association analysis with interval valued fuzzy sets and body of evidence. FUZZ-IEEE 2002: 518-523 - 2001
- [c2]Daniel Barbará, Ping Chen:
Tracking Clusters in Evolving Data Sets. FLAIRS 2001: 239-243 - 2000
- [c1]Daniel Barbará, Ping Chen:
Using the fractal dimension to cluster datasets. KDD 2000: 260-264
Coauthor Index
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