Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts. - Dingcheng Li; Guergana Savova; Karin Kipper Schuler (BioNLP, 2008)

A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. - Dingcheng Li; Tim Miller 002; William Schuler (ACL, 2011)

A Combination of Topic Models with Max-margin Learning for Relation Detection. - Dingcheng Li; Swapna Somasundaran; Amit Chakraborty (Graph-based Methods for Natural Language Processing, 2011)

Visualization and Reporting of Results for Electronic Health Records Driven Phenotyping using the Open-Source popHealth Platform. - Cory M. Endle; Sahana Murthy; Dale Suesse; Craig Stancle; Dingcheng Li; Lacey Hart; Christopher G. Chute; Jyotishman Pathak (AMIA, 2012)

Applying JBoss® Drools Business Rules Management System for Electronic Health Records Driven Phenotyping. - Dingcheng Li (AMIA, 2012)

Modeling and Executing Electronic Health Records Driven Phenotyping Algorithms using the NQF Quality Data Model and JBoss® Drools Engine. - Dingcheng Li; Sahana Murthy; Davide Sottara; Christopher G. Chute; Stanley M. Huff; Jyotishman Pathak; Cory M. Endle; Dale Suesse; Craig Stancle (AMIA, 2012)

Towards a semantic lexicon for clinical natural language processing. - Hongfang Liu; Stephen T. Wu; Dingcheng Li; Siddhartha Jonnalagadda; Sunghwan Sohn; Kavishwar B. Wagholikar; Peter J. Haug; Stanley M. Huff; Christopher G. Chute (AMIA, 2012)

Ontology-Based Temporal Relation Modeling with MapReduce Latent Dirichlet Allocations for Big EHR Data. - Dingcheng Li; Cui Tao; Hongfang Liu; Christopher G. Chute (CGC, 2012)

Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. - Siddhartha Jonnalagadda; Dingcheng Li; Sunghwan Sohn; Stephen Tze-Inn Wu; Kavishwar B. Wagholikar; Manabu Torii; Hongfang Liu (J. Am. Medical Informatics Assoc., 2012)

Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis. - Stephen T. Wu; Hongfang Liu; Dingcheng Li; Cui Tao; Mark A. Musen; Christopher G. Chute; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2012)

ERD-MedLDA: Entity relation detection using supervised topic models with maximum margin learning. - Dingcheng Li; Swapna Somasundaran; Amit Chakraborty (Nat. Lang. Eng., 2012)

Coreference Resolution from Medical Corpus with Topic Modeling. - Dingcheng Li; Liwei Wang 010; Cui Tao; Christopher G. Chute; Hongfang Liu (AMIA, 2013)

PhenotypePortal: An Open-Source Library and Platform for Authoring, Executing and Visualization of Electronic Health Records Driven Phenotyping Algorithms. - Jyotishman Pathak; Cory M. Endle; Dale Suesse; Kevin J. Peterson; Craig Stancl; Dingcheng Li; Christopher G. Chute (AMIA, 2013)

Prioritizing journals relevant to a topic for addressing clinicians' information needs. - Siddhartha Jonnalagadda; Soheil Moosavinasab; Dingcheng Li; Martin D. Abel; Christopher G. Chute; Hongfang Liu (BIBM, 2013)

Towards assigning references using semantic, journal and citation relevance. - Dingcheng Li; Hongfang Liu; Christopher G. Chute; Siddhartha Jonnalagadda (BIBM, 2013)

An integrative computational approach to identify disease-specific networks from PubMed literature information. - Yuji Zhang 001; Dingcheng Li; Cui Tao; Feichen Shen; Hongfang Liu (BIBM, 2013)

An Incremental Approach for MEDLINE MeSH Indexing. - Dongqing Zhu; Dingcheng Li; Ben Carterette; Hongfang Liu (BioASQ@CLEF, 2013)

Phenotyping on EHR Data Using OWL and Semantic Web Technologies. - Cui Tao; Dingcheng Li; Feichen Shen; Zonghui Lian; Jyotishman Pathak; Hongfang Liu; Christopher G. Chute (ICSH, 2013)

Standardizing Drug Adverse Event Reporting Data. - Liwei Wang 010; Guoqian Jiang; Dingcheng Li; Hongfang Liu (MedInfo, 2013)

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. - Sunghwan Sohn; Kavishwar B. Wagholikar; Dingcheng Li; Siddhartha Jonnalagadda; Cui Tao; Ravikumar Komandur Elayavilli; Hongfang Liu (J. Am. Medical Informatics Assoc., 2013)

An Automated Approach for Ranking Journals to Help in Clinician Decision Support. - Siddhartha Jonnalagadda; Soheil Moosavinasab; Chinmoy Nath; Dingcheng Li; Christopher G. Chute; Hongfang Liu (AMIA, 2014)

Reducing the Screening Burden of Systematic Review with a Multiple-level Relevance Ranking System. - Dingcheng Li; Zhen Wang; Feichen Shen; Mohammad Hassan Murad; Hongfang Liu (AMIA, 2014)

Layered Spaces for Clinical Information Retrieval. - Stephen T. Wu; Dingcheng Li; James J. Masanz; Hongfang Liu (AMIA, 2014)

An author topic analysis on NCI DCP/DCCPS PIs. - Dingcheng Li; Janet Okamoto; Hongfang Liu; Scott Leischow (BCB, 2014)

Using semantic web technologies for quality measure phenotyping algorithm representation and automatic execution on EHR data. - Feichen Shen; Dingcheng Li; Hongfang Liu; Yugyung Lee; Jyotishman Pathak; Christopher G. Chute; Cui Tao (BHI, 2014)

Towards a multi-level framework for supporting systematic review - A pilot study. - Dingcheng Li; Zhen Wang; Feichen Shen; Mohammad Hassan Murad; Hongfang Liu (BIBM, 2014)

An Author Topic Analysis of Tobacco Regulation Investigators. - Dingcheng Li; Janet Okamoto; Scott Leischow; Hongfang Liu (PAKDD Workshops, 2014)

Integrating information retrieval with distant supervision for Gene Ontology annotation. - Dongqing Zhu; Dingcheng Li; Ben Carterette; Hongfang Liu (Database J. Biol. Databases Curation, 2014)

Standardizing adverse drug event reporting data. - Liwei Wang 010; Guoqian Jiang; Dingcheng Li; Hongfang Liu (J. Biomed. Semant., 2014)

A Deep Learning Framework for Improving Medical Information Retrieval. - Dingcheng Li; Saeed Mehrabi 003; Yue Yu; Hongfang Liu (AMIA, 2015)

A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. - Dingcheng Li; Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Yanshan Wang; Saeed Mehrabi 003; Yue Yu; Sunghwan Sohn; Yanpeng Li; Naveed Afzal; Hongfang Liu (BCB, 2015)

A new method for prioritizing drug repositioning candidates extracted by literature-based discovery. - Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Dingcheng Li; Rashmi Prasad; Hongfang Liu (BIBM, 2015)

Representing Clinical Diagnostic Criteria in Quality Data Model Using Natural Language Processing. - Na Hong; Dingcheng Li; Yue Yu; Hongfang Liu; Christopher G. Chute; Guoqian Jiang (BioNLP@IJCNLP, 2015)

Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. - Saeed Mehrabi 003; Sunghwan Sohn; Dingcheng Li; Joshua J. Pankratz; Terry M. Therneau; Jennifer L. St. Sauver; Hongfang Liu; Mathew J. Palakal (ICHI, 2015)

Retrieval of Semantically Similar Healthcare Questions in Healthcare Forums. - Yanshan Wang; Saeed Mehrabi 003; Majid Rastegar-Mojarad; Dingcheng Li; Hongfang Liu (ICHI, 2015)

A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing. - Dingcheng Li; Majid Rastegar-Mojarad; Yanpeng Li; Sunghwan Sohn; Saeed Mehrabi 003; Ravikumar Komandur Elayavilli; Yue Yu; Hongfang Liu (MedInfo, 2015)

Identification of Patients with Family History of Pancreatic Cancer - Investigation of an NLP System Portability. - Saeed Mehrabi 003; Anand Krishnan; Alexandra M. Roch; Heidi Schmidt; Dingcheng Li; Joe Kesterson; Chris Beesley; Paul R. Dexter; C. Max Schmidt; Mathew J. Palakal; Hongfang Liu (MedInfo, 2015)

Assessing the Need of Discourse-Level Analysis in Identifying Evidence of Drug-Disease Relations in Scientific Literature. - Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Dingcheng Li; Hongfang Liu (MedInfo, 2015)

A bibliometric analysis on tobacco regulation investigators. - Dingcheng Li; Janet Okamoto; Hongfang Liu; Scott Leischow (BioData Min., 2015)

Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature. - Ravikumar Komandur Elayavilli; Kavishwar B. Wagholikar; Dingcheng Li; Jean-Pierre A. Kocher; Hongfang Liu (BMC Bioinform., 2015)

Generalized Ensemble Model for Document Ranking. - Yanshan Wang; Dingcheng Li; Hongfang Liu; In-Chan Choi (CoRR, 2015)

Spectral co-clustering ensemble. - Shudong Huang; Hongjun Wang 002; Dingcheng Li; Yan Yang 001; Tianrui Li 001 (Knowl. Based Syst., 2015)

A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text. - Dingcheng Li; Sijia Liu 002; Majid Rastegar-Mojarad; Yanshan Wang; Xiaodi Li; Vipin Chaudhary; Terry M. Therneau; Hongfang Liu (AMIA, 2016)

Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision. - Dingcheng Li; Sijia Liu 002; Majid Rastegar-Mojarad; Yanshan Wang; Xiaodi Li; Vipin Chaudhary; Terry M. Therneau; Hongfang Liu (AMIA, 2016)

Discovering Associations between Problem List and Practice Setting. - Liwei Wang 010; Dingcheng Li; Majid Rastegar-Mojarad; Hongfang Liu (AMIA, 2016)

A Part-Of-Speech Weighting Scheme for Clinical Information Retrieval. - Yanshan Wang; Stephen T. Wu; Dingcheng Li; Hongfang Liu (AMIA, 2016)

Answering patients' questions using expert-vetted online resources: A case study of diabetes. - Yuqun Zeng; Liwei Wang 010; Yanshan Wang; Dingcheng Li; Hongfang Liu (AMIA, 2016)

MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Task. - Sijia Liu 002; Yanshan Wang; Saeed Mehrabi 003; Dingcheng Li; Hongfang Liu (CLEF (Working Notes), 2016)

An Infinite Mixture Model for Coreference Resolution in Clinical Notes. - Sijia Liu 002; Hongfang Liu; Vipin Chaudhary; Dingcheng Li (CRI, 2016)

POS-MRF: A Part-Of-Speech Weighted Markov Random Field Model for Clinical Information Retrieval. - Yanshan Wang; Dingcheng Li; Stephen T. Wu; Hongfang Liu (CRI, 2016)

Erratum to: Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature. - Ravikumar Komandur Elayavilli; Kavishwar B. Wagholikar; Dingcheng Li; Jean-Pierre A. Kocher; Hongfang Liu (BMC Bioinform., 2016)

Lightning: A High-Efficient Neighbor Discovery Protocol for Low Duty Cycle WSNs. - Liangxiong Wei; Beisi Zhou; Xichu Ma; Dexin Chen; Jingyu Zhang; Jian Peng 002; Qian Luo; Limin Sun; Dingcheng Li; Liangyin Chen (IEEE Commun. Lett., 2016)

A computational framework for converting textual clinical diagnostic criteria into the quality data model. - Na Hong; Dingcheng Li; Yue Yu; Qiongying Xiu; Hongfang Liu; Guoqian Jiang (J. Biomed. Informatics, 2016)

A Part-Of-Speech term weighting scheme for biomedical information retrieval. - Yanshan Wang; Stephen T. Wu; Dingcheng Li; Saeed Mehrabi 003; Hongfang Liu (J. Biomed. Informatics, 2016)

Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. - Dingcheng Li; Peini Liu; Ming Huang 006; Yu Gu 001; Yue Zhang; Xiaodi Li; Daniel Dean; Xiaoxi Liu; Jingmin Xu; Hui Lei 001; Yaoping Ruan (BIBM, 2017)

Detecting Serendipitous Drug Usage in Social Media with Deep Neural Network Models. - Boshu Ru; Dingcheng Li; Lixia Yao (BIBM, 2018)

Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding. - Dingcheng Li; Jingyuan Zhang; Ping Li 001 (IEEE BigData, 2018)

End-to-end Deep Reinforcement Learning Based Coreference Resolution. - Hongliang Fei; Xu Li 001; Dingcheng Li; Ping Li 001 (ACL (1), 2019)

Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. - Dingcheng Li; Siamak Zamani; Jingyuan Zhang; Ping Li 001 (NAACL-HLT (1), 2019)

TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. - Dingcheng Li; Jingyuan Zhang; Ping Li 001 (SDM, 2019)

Knowledge Graph Embedding Based Question Answering. - Xiao Huang 001; Jingyuan Zhang; Dingcheng Li; Ping Li 001 (WSDM, 2019)

Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. - Dingcheng Li; Jingyuan Zhang; Ping Li 001 (WWW, 2019)

Context-aware Active Multi-Step Reinforcement Learning. - Gang Chen 032; Dingcheng Li; Ran Xu 001 (CoRR, 2019)

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. - Haiyan Yin; Dingcheng Li; Xu Li 001; Ping Li 001 (AAAI, 2020)

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. - Kaize Ding; Jianling Wang; Jundong Li; Dingcheng Li; Huan Liu 001 (EMNLP (1), 2020)

Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. - Dingcheng Li; Xu Li 001; Jun Wang; Ping Li 001 (SIGIR, 2020)

Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. - Shaogang Ren; Dingcheng Li; Zhixin Zhou; Ping Li 001 (WWW, 2020)

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. - Kaize Ding; Dingcheng Li; Alexander Hanbo Li; Xing Fan; Chenlei Guo; Yang Liu; Huan Liu 001 (EMNLP (1), 2021)

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. - Dingcheng Li; Hongliang Fei; Shaogang Ren; Ping Li 001 (EMNLP (Findings), 2021)

Contextual Rephrase Detection for Reducing Friction in Dialogue Systems. - Zhuoyi Wang; Saurabh Gupta 008; Jie Hao; Xing Fan; Dingcheng Li; Alexander Hanbo Li; Chenlei Guo (EMNLP (1), 2021)

Textual Analysis and Timely Detection of Suspended Social Media Accounts. - Dominic Seyler; Shulong Tan; Dingcheng Li; Jingyuan Zhang; Ping Li 001 (ICWSM, 2021)

CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning. - Yigong Wang; Zhuoyi Wang; Yu Lin 002; Latifur Khan; Dingcheng Li (SIGIR, 2021)

IvyCross: A Trustworthy and Privacy-preserving Framework for Blockchain Interoperability. - Ming Li 049; Jian Weng 001; Yi Li; Yongdong Wu; Jiasi Weng 001; Dingcheng Li; Robert H. Deng (IACR Cryptol. ePrint Arch., 2021)

Latent Coreset Sampling based Data-Free Continual Learning. - Zhuoyi Wang; Dingcheng Li; Ping Li 001 (CIKM, 2022)

Continual Learning for Natural Language Generations with Transformer Calibration. - Peng Yang 013; Dingcheng Li; Ping Li 001 (CoNLL, 2022)

LPC: A Logits and Parameter Calibration Framework for Continual Learning. - Xiaodi Li 002; Zhuoyi Wang; Dingcheng Li; Latifur Khan; Bhavani Thuraisingham (EMNLP (Findings), 2022)

Causal Effect Prediction with Flow-based Inference. - Shaogang Ren; Dingcheng Li; Ping Li 001 (ICDM, 2022)

Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. - Siamak Zamany; Dingcheng Li; Hongliang Fei; Ping Li 001 (ICTIR, 2022)

Variational Flow Graphical Model. - Shaogang Ren; Belhal Karimi; Dingcheng Li; Ping Li 001 (KDD, 2022)

Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation. - Dingcheng Li; Zheng Chen 010; Eunah Cho; Jie Hao; Xiaohu Liu; Fan Xing; Chenlei Guo; Yang Liu (NAACL-HLT, 2022)

Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. - Haiyan Yin; Dingcheng Li; Ping Li 001 (NAACL-HLT, 2022)

PromptGen: Automatically Generate Prompts using Generative Models. - Yue Zhang; Hongliang Fei; Dingcheng Li; Ping Li 001 (NAACL-HLT (Findings), 2022)

Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. - Yue Zhang; Hongliang Fei; Dingcheng Li; Tan Yu; Ping Li 001 (CoRR, 2022)

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. - Jianwen Xie; Yaxuan Zhu; Yifei Xu; Dingcheng Li; Ping Li 001 (AAAI, 2023)

Power Norm Based Lifelong Learning for Paraphrase Generations. - Dingcheng Li; Peng Yang 013; Yue Zhang; Ping Li 001 (SIGIR, 2023)

Learning Latent Structural Relations with Message Passing Prior. - Shaogang Ren; Hongliang Fei; Dingcheng Li; Ping Li 001 (WACV, 2023)

Generalized Pareto GAN: Generating Extremes of Distributions. - Jun Li; Dingcheng Li; Ping Li; Gennady Samorodnitsky (IJCNN, 2024)

Word Embedding with Neural Probabilistic Prior. - Shaogang Ren; Dingcheng Li; Ping Li 001 (SDM, 2024)

Efficient Multi-subset Fine-grained Authorization PSI over Outsourced Encrypted Datasets. - Jinlong Zheng; Jia-Nan Liu; Minhua Su; Dingcheng Li; Kai He; Xueqiao Liu (TrustCom, 2024)

Fast Payments Across Heterogeneous Blockchains for Internet of Things. - Zhikai Lin; Kexing Wang; Yongdong Wu; Dingcheng Li (IEEE Access, 2024)

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning. - Xiaodi Li 002; Dingcheng Li; Rujun Gao; Mahmoud Zamani; Latifur Khan (ICAIIC, 2025)

Backtracking for Safety. - Bilgehan Sel; Dingcheng Li; Phillip Wallis; Vaishakh Keshava; Ming Jin 002; Siddhartha Reddy Jonnalagadda (CoRR, 2025)