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Dingcheng Li
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2020 – today
- 2024
- [j14]Zhikai Lin
, Kexing Wang, Yongdong Wu
Fast Payments Across Heterogeneous Blockchains for Internet of Things. IEEE Access 12: 33923-33937 (2024) - [c71]Jun Li, Dingcheng Li, Ping Li, Gennady Samorodnitsky:
Generalized Pareto GAN: Generating Extremes of Distributions. IJCNN 2024: 1-8 - [c70]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. SDM 2024: 896-904 - 2023
- [c69]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI 2023: 10499-10509 - [c68]Dingcheng Li
Power Norm Based Lifelong Learning for Paraphrase Generations. SIGIR 2023: 2266-2271 - [c67]Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li:
Learning Latent Structural Relations with Message Passing Prior. WACV 2023: 5323-5332 - [i10]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR abs/2301.09300 (2023) - [i9]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. CoRR abs/2309.11824 (2023) - 2022
- [c66]Zhuoyi Wang, Dingcheng Li, Ping Li:
Latent Coreset Sampling based Data-Free Continual Learning. CIKM 2022: 2077-2087 - [c65]Peng Yang, Dingcheng Li, Ping Li:
Continual Learning for Natural Language Generations with Transformer Calibration. CoNLL 2022: 40-49 - [c64]Xiaodi Li, Zhuoyi Wang, Dingcheng Li, Latifur Khan, Bhavani Thuraisingham:
LPC: A Logits and Parameter Calibration Framework for Continual Learning. EMNLP (Findings) 2022: 7142-7155 - [c63]Shaogang Ren, Dingcheng Li, Ping Li:
Causal Effect Prediction with Flow-based Inference. ICDM 2022: 1167-1172 - [c62]Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li:
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR 2022: 254-263 - [c61]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. KDD 2022: 1493-1503 - [c60]Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li:
PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) 2022: 30-37 - [c59]Haiyan Yin, Dingcheng Li, Ping Li:
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. NAACL-HLT 2022: 1385-1395 - [c58]Dingcheng Li, Zheng Chen, Eunah Cho, Jie Hao, Xiaohu Liu
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation. NAACL-HLT 2022: 5441-5454 - [i8]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. CoRR abs/2207.02722 (2022) - [i7]Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li:
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. CoRR abs/2210.10841 (2022) - 2021
- [c57]Zhuoyi Wang, Saurabh Gupta, Jie Hao, Xing Fan, Dingcheng Li, Alexander Hanbo Li, Chenlei Guo:
Contextual Rephrase Detection for Reducing Friction in Dialogue Systems. EMNLP (1) 2021: 1899-1905 - [c56]Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li:
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) 2021: 4300-4310 - [c55]Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu:
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. EMNLP (1) 2021: 5930-5940 - [c54]Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li:
Textual Analysis and Timely Detection of Suspended Social Media Accounts. ICWSM 2021: 644-655 - [c53]Yigong Wang, Zhuoyi Wang, Yu Lin, Latifur Khan, Dingcheng Li:
CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning. SIGIR 2021: 2121-2125 - [i6]Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu:
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. CoRR abs/2109.12457 (2021) - [i5]Ming Li, Jian Weng, Yi Li, Yongdong Wu, Jiasi Weng, Dingcheng Li, Robert H. Deng:
IvyCross: A Trustworthy and Privacy-preserving Framework for Blockchain Interoperability. IACR Cryptol. ePrint Arch. 2021: 1244 (2021) - 2020
- [c52]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI 2020: 9466-9473 - [c51]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) 2020: 4927-4936 - [c50]Dingcheng Li, Xu Li, Jun Wang, Ping Li:
Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. SIGIR 2020: 1553-1556 - [c49]Shaogang Ren, Dingcheng Li, Zhixin Zhou
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. WWW 2020: 2287-2297 - [i4]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. CoRR abs/2003.11530 (2020) - [i3]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR abs/2011.00387 (2020)
2010 – 2019
- 2019
- [c48]Hongliang Fei, Xu Li, Dingcheng Li, Ping Li:
End-to-end Deep Reinforcement Learning Based Coreference Resolution. ACL (1) 2019: 660-665 - [c47]Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li:
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. NAACL-HLT (1) 2019: 940-950 - [c46]Dingcheng Li, Jingyuan Zhang, Ping Li:
TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. SDM 2019: 684-692 - [c45]Xiao Huang
Knowledge Graph Embedding Based Question Answering. WSDM 2019: 105-113 - [c44]Dingcheng Li, Jingyuan Zhang, Ping Li:
Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. WWW 2019: 950-960 - [i2]Gang Chen, Dingcheng Li, Ran Xu:
Context-aware Active Multi-Step Reinforcement Learning. CoRR abs/1911.04107 (2019) - 2018
- [c43]Boshu Ru, Dingcheng Li, Lixia Yao:
Detecting Serendipitous Drug Usage in Social Media with Deep Neural Network Models. BIBM 2018: 1083-1090 - [c42]Dingcheng Li, Jingyuan Zhang, Ping Li:
Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding. IEEE BigData 2018: 126-133 - 2017
- [c41]Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, Yaoping Ruan:
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. BIBM 2017: 386-391 - 2016
- [j13]Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Dingcheng Li, Jean-Pierre A. Kocher, Hongfang Liu:
Erratum to: Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature. BMC Bioinform. 17: 162 (2016) - [j12]Liangxiong Wei, Beisi Zhou, Xichu Ma, Dexin Chen, Jingyu Zhang, Jian Peng, Qian Luo, Limin Sun, Dingcheng Li, Liangyin Chen:
Lightning: A High-Efficient Neighbor Discovery Protocol for Low Duty Cycle WSNs. IEEE Commun. Lett. 20(5): 966-969 (2016) - [j11]Na Hong, Dingcheng Li, Yue Yu, Qiongying Xiu, Hongfang Liu, Guoqian Jiang:
A computational framework for converting textual clinical diagnostic criteria into the quality data model. J. Biomed. Informatics 63: 11-21 (2016) - [j10]Yanshan Wang
A Part-Of-Speech term weighting scheme for biomedical information retrieval. J. Biomed. Informatics 63: 379-389 (2016) - [c40]Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu:
A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text. AMIA 2016 - [c39]Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu:
Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision. AMIA 2016 - [c38]Liwei Wang, Dingcheng Li, Majid Rastegar-Mojarad, Hongfang Liu:
Discovering Associations between Problem List and Practice Setting. AMIA 2016 - [c37]Yanshan Wang, Stephen T. Wu, Dingcheng Li, Hongfang Liu:
A Part-Of-Speech Weighting Scheme for Clinical Information Retrieval. AMIA 2016 - [c36]Yuqun Zeng, Liwei Wang, Yanshan Wang, Dingcheng Li, Hongfang Liu:
Answering patients' questions using expert-vetted online resources: A case study of diabetes. AMIA 2016 - [c35]Sijia Liu, Yanshan Wang, Saeed Mehrabi, Dingcheng Li, Hongfang Liu:
MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Task. CLEF (Working Notes) 2016: 347-355 - [c34]Sijia Liu, Hongfang Liu, Vipin Chaudhary, Dingcheng Li:
An Infinite Mixture Model for Coreference Resolution in Clinical Notes. CRI 2016 - [c33]Yanshan Wang, Dingcheng Li, Stephen T. Wu, Hongfang Liu:
POS-MRF: A Part-Of-Speech Weighted Markov Random Field Model for Clinical Information Retrieval. CRI 2016 - 2015
- [j9]Dingcheng Li, Janet Okamoto, Hongfang Liu, Scott Leischow:
A bibliometric analysis on tobacco regulation investigators. BioData Min. 8: 11 (2015) - [j8]Ravikumar Komandur Elayavilli, Kavishwar B. Wagholikar, Dingcheng Li, Jean-Pierre A. Kocher, Hongfang Liu:
Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature. BMC Bioinform. 16: 185:1-185:15 (2015) - [j7]Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, Tianrui Li
Spectral co-clustering ensemble. Knowl. Based Syst. 84: 46-55 (2015) - [c32]Dingcheng Li, Saeed Mehrabi, Yue Yu, Hongfang Liu:
A Deep Learning Framework for Improving Medical Information Retrieval. AMIA 2015 - [c31]Dingcheng Li, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang
A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. BCB 2015: 315-324 - [c30]Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Dingcheng Li, Rashmi Prasad, Hongfang Liu:
A new method for prioritizing drug repositioning candidates extracted by literature-based discovery. BIBM 2015: 669-674 - [c29]Na Hong, Dingcheng Li, Yue Yu, Hongfang Liu, Christopher G. Chute, Guoqian Jiang:
Representing Clinical Diagnostic Criteria in Quality Data Model Using Natural Language Processing. BioNLP@IJCNLP 2015: 177-182 - [c28]Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver
Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. ICHI 2015: 408-416 - [c27]Yanshan Wang
Retrieval of Semantically Similar Healthcare Questions in Healthcare Forums. ICHI 2015: 517-518 - [c26]Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Dingcheng Li, Hongfang Liu:
Assessing the Need of Discourse-Level Analysis in Identifying Evidence of Drug-Disease Relations in Scientific Literature. MedInfo 2015: 539-543 - [c25]Saeed Mehrabi, Anand Krishnan, Alexandra M. Roch, Heidi Schmidt, Dingcheng Li, Joe Kesterson, Chris Beesley, Paul R. Dexter, C. Max Schmidt, Mathew J. Palakal, Hongfang Liu:
Identification of Patients with Family History of Pancreatic Cancer - Investigation of an NLP System Portability. MedInfo 2015: 604-608 - [c24]Dingcheng Li, Majid Rastegar-Mojarad, Yanpeng Li, Sunghwan Sohn, Saeed Mehrabi, Ravikumar Komandur Elayavilli, Yue Yu, Hongfang Liu:
A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing. MedInfo 2015: 1033-1034 - [i1]Yanshan Wang, Dingcheng Li, Hongfang Liu, In-Chan Choi:
Generalized Ensemble Model for Document Ranking. CoRR abs/1507.08586 (2015) - 2014
- [j6]Dongqing Zhu, Dingcheng Li, Ben Carterette, Hongfang Liu:
Integrating information retrieval with distant supervision for Gene Ontology annotation. Database J. Biol. Databases Curation 2014 (2014) - [j5]Liwei Wang, Guoqian Jiang, Dingcheng Li, Hongfang Liu:
Standardizing adverse drug event reporting data. J. Biomed. Semant. 5: 36 (2014) - [c23]Siddhartha Jonnalagadda, Soheil Moosavinasab, Chinmoy Nath, Dingcheng Li, Christopher G. Chute, Hongfang Liu:
An Automated Approach for Ranking Journals to Help in Clinician Decision Support. AMIA 2014 - [c22]Dingcheng Li, Zhen Wang, Feichen Shen, Mohammad Hassan Murad, Hongfang Liu:
Reducing the Screening Burden of Systematic Review with a Multiple-level Relevance Ranking System. AMIA 2014 - [c21]Stephen T. Wu, Dingcheng Li, James J. Masanz, Hongfang Liu:
Layered Spaces for Clinical Information Retrieval. AMIA 2014 - [c20]Dingcheng Li, Janet Okamoto
An author topic analysis on NCI DCP/DCCPS PIs. BCB 2014: 607-608 - [c19]Feichen Shen, Dingcheng Li, Hongfang Liu, Yugyung Lee, Jyotishman Pathak, Christopher G. Chute, Cui Tao:
Using semantic web technologies for quality measure phenotyping algorithm representation and automatic execution on EHR data. BHI 2014: 531-534 - [c18]Dingcheng Li, Zhen Wang, Feichen Shen, Mohammad Hassan Murad
Towards a multi-level framework for supporting systematic review - A pilot study. BIBM 2014: 43-50 - [c17]Dingcheng Li, Janet Okamoto
An Author Topic Analysis of Tobacco Regulation Investigators. PAKDD Workshops 2014: 616-627 - 2013
- [j4]Sunghwan Sohn, Kavishwar B. Wagholikar
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. J. Am. Medical Informatics Assoc. 20(5): 836-842 (2013) - [c16]Dingcheng Li, Liwei Wang, Cui Tao, Christopher G. Chute, Hongfang Liu:
Coreference Resolution from Medical Corpus with Topic Modeling. AMIA 2013 - [c15]Jyotishman Pathak, Cory M. Endle, Dale Suesse, Kevin J. Peterson, Craig Stancl, Dingcheng Li, Christopher G. Chute:
PhenotypePortal: An Open-Source Library and Platform for Authoring, Executing and Visualization of Electronic Health Records Driven Phenotyping Algorithms. AMIA 2013 - [c14]Siddhartha Jonnalagadda, Soheil Moosavinasab, Dingcheng Li, Martin D. Abel, Christopher G. Chute, Hongfang Liu:
Prioritizing journals relevant to a topic for addressing clinicians' information needs. BIBM 2013: 5-6 - [c13]Yuji Zhang
An integrative computational approach to identify disease-specific networks from PubMed literature information. BIBM 2013: 72-75 - [c12]Dingcheng Li, Hongfang Liu, Christopher G. Chute, Siddhartha Jonnalagadda:
Towards assigning references using semantic, journal and citation relevance. BIBM 2013: 499-503 - [c11]Dongqing Zhu, Dingcheng Li, Ben Carterette, Hongfang Liu:
An Incremental Approach for MEDLINE MeSH Indexing. BioASQ@CLEF 2013 - [c10]Cui Tao, Dingcheng Li, Feichen Shen, Zonghui Lian, Jyotishman Pathak, Hongfang Liu, Christopher G. Chute:
Phenotyping on EHR Data Using OWL and Semantic Web Technologies. ICSH 2013: 31-32 - [c9]Liwei Wang, Guoqian Jiang, Dingcheng Li, Hongfang Liu:
Standardizing Drug Adverse Event Reporting Data. MedInfo 2013: 1101 - 2012
- [j3]Siddhartha Jonnalagadda, Dingcheng Li, Sunghwan Sohn, Stephen Tze-Inn Wu, Kavishwar B. Wagholikar
Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. J. Am. Medical Informatics Assoc. 19(5): 867-874 (2012) - [j2]Stephen T. Wu, Hongfang Liu, Dingcheng Li, Cui Tao
Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis. J. Am. Medical Informatics Assoc. 19(e1) (2012) - [j1]Dingcheng Li, Swapna Somasundaran, Amit Chakraborty:
ERD-MedLDA: Entity relation detection using supervised topic models with maximum margin learning. Nat. Lang. Eng. 18(2): 263-289 (2012) - [c8]Cory M. Endle, Sahana Murthy, Dale Suesse, Craig Stancle, Dingcheng Li, Lacey Hart, Christopher G. Chute, Jyotishman Pathak:
Visualization and Reporting of Results for Electronic Health Records Driven Phenotyping using the Open-Source popHealth Platform. AMIA 2012 - [c7]Dingcheng Li:
Applying JBoss® Drools Business Rules Management System for Electronic Health Records Driven Phenotyping. AMIA 2012 - [c6]Dingcheng Li, Sahana Murthy, Davide Sottara, Christopher G. Chute, Stanley M. Huff, Jyotishman Pathak, Cory M. Endle, Dale Suesse, Craig Stancle:
Modeling and Executing Electronic Health Records Driven Phenotyping Algorithms using the NQF Quality Data Model and JBoss® Drools Engine. AMIA 2012 - [c5]Hongfang Liu, Stephen T. Wu, Dingcheng Li, Siddhartha Jonnalagadda, Sunghwan Sohn, Kavishwar B. Wagholikar, Peter J. Haug, Stanley M. Huff, Christopher G. Chute:
Towards a semantic lexicon for clinical natural language processing. AMIA 2012 - [c4]Dingcheng Li, Cui Tao, Hongfang Liu, Christopher G. Chute:
Ontology-Based Temporal Relation Modeling with MapReduce Latent Dirichlet Allocations for Big EHR Data. CGC 2012: 708-715 - 2011
- [c3]Dingcheng Li, Timothy A. Miller, William Schuler:
A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. ACL 2011: 1169-1178 - [c2]Dingcheng Li, Swapna Somasundaran, Amit Chakraborty:
A Combination of Topic Models with Max-margin Learning for Relation Detection. Graph-based Methods for Natural Language Processing 2011: 1-9
2000 – 2009
- 2008
- [c1]Dingcheng Li, Guergana Savova, Karin Kipper Schuler:
Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts. BioNLP 2008: 94-95
Coauthor Index
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