Dingcheng Li

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 52

Top Topics

Coreference Resolution

Information Retrieval

Weighting Scheme

Graph Embedding

Top Venues

Publications

Shaogang Ren, Dingcheng Li, Ping Li
Word Embedding with Neural Probabilistic Prior. SDM (2024)
Zhikai Lin, Kexing Wang, Yongdong Wu, Dingcheng Li
Fast Payments Across Heterogeneous Blockchains for Internet of Things. IEEE Access 12 (2024)
Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li
Learning Latent Structural Relations with Message Passing Prior. WACV (2023)
Dingcheng Li, Peng Yang, Yue Zhang, Ping Li
Power Norm Based Lifelong Learning for Paraphrase Generations. SIGIR (2023)
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)
Shaogang Ren, Dingcheng Li, Ping Li
Word Embedding with Neural Probabilistic Prior. CoRR (2023)
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 (2023)
Xiaodi Li, Zhuoyi Wang, Dingcheng Li, Latifur Khan, Bhavani Thuraisingham
LPC: A Logits and Parameter Calibration Framework for Continual Learning. EMNLP (Findings) (2022)
Shaogang Ren, Dingcheng Li, Ping Li
Causal Effect Prediction with Flow-based Inference. ICDM (2022)
Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. CoRR (2022)
Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR (2022)
Dingcheng Li, Zheng Chen, Eunah Cho, Jie Hao, Xiaohu Liu, Fan Xing, Chenlei Guo, Yang Liu
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation. NAACL-HLT (2022)
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
Variational Flow Graphical Model. CoRR (2022)
Zhuoyi Wang, Dingcheng Li, Ping Li
Latent Coreset Sampling based Data-Free Continual Learning. CIKM (2022)
Haiyan Yin, Dingcheng Li, Ping Li
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. NAACL-HLT (2022)
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
Variational Flow Graphical Model. KDD (2022)
Peng Yang, Dingcheng Li, Ping Li
Continual Learning for Natural Language Generations with Transformer Calibration. CoNLL (2022)
Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li
PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) (2022)
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)
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)
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 (2021)
Yigong Wang, Zhuoyi Wang, Yu Lin, Latifur Khan, Dingcheng Li
CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning. SIGIR (2021)
Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li
Textual Analysis and Timely Detection of Suspended Social Media Accounts. ICWSM (2021)
Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) (2021)
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 (2021)
Haiyan Yin, Dingcheng Li, Xu Li, Ping Li
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI (2020)
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR (2020)
Dingcheng Li, Xu Li, Jun Wang, Ping Li
Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. SIGIR (2020)
Haiyan Yin, Dingcheng Li, Xu Li, Ping Li
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. CoRR (2020)
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) (2020)
Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. WWW (2020)
Dingcheng Li, Jingyuan Zhang, Ping Li
Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. WWW (2019)
Gang Chen, Dingcheng Li, Ran Xu
Context-aware Active Multi-Step Reinforcement Learning. CoRR (2019)
Hongliang Fei, Xu Li, Dingcheng Li, Ping Li
End-to-end Deep Reinforcement Learning Based Coreference Resolution. ACL (1) (2019)
Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li
Knowledge Graph Embedding Based Question Answering. WSDM (2019)
Dingcheng Li, Jingyuan Zhang, Ping Li
TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. SDM (2019)
Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. NAACL-HLT (1) (2019)
Dingcheng Li, Jingyuan Zhang, Ping Li
Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding. IEEE BigData (2018)
Boshu Ru, Dingcheng Li, Lixia Yao
Detecting Serendipitous Drug Usage in Social Media with Deep Neural Network Models. BIBM (2018)
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)
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)
Sijia Liu, Hongfang Liu, Vipin Chaudhary, Dingcheng Li
An Infinite Mixture Model for Coreference Resolution in Clinical Notes. CRI (2016)
Liwei Wang, Dingcheng Li, Majid Rastegar-Mojarad, Hongfang Liu
Discovering Associations between Problem List and Practice Setting. AMIA (2016)
Yanshan Wang, Stephen T. Wu, Dingcheng Li, Hongfang Liu
A Part-Of-Speech Weighting Scheme for Clinical Information Retrieval. AMIA (2016)
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) (2016)
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)
Sijia Liu, Yanshan Wang, Saeed Mehrabi, Dingcheng Li, Hongfang Liu
MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Task. CLEF (Working Notes) (2016)
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 (2016)
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)
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)
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 (2016)
Yanshan Wang, Stephen T. Wu, Dingcheng Li, Saeed Mehrabi, Hongfang Liu
A Part-Of-Speech term weighting scheme for biomedical information retrieval. J. Biomed. Informatics 63 (2016)
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)
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)
Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, Tianrui Li
Spectral co-clustering ensemble. Knowl. Based Syst. 84 (2015)
Dingcheng Li, Janet Okamoto, Hongfang Liu, Scott Leischow
A bibliometric analysis on tobacco regulation investigators. BioData Min. 8 (2015)
Dingcheng Li, Saeed Mehrabi, Yue Yu, Hongfang Liu
A Deep Learning Framework for Improving Medical Information Retrieval. AMIA (2015)
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)
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 (2015)
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)
Dingcheng Li, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang, Saeed Mehrabi, Yue Yu, Sunghwan Sohn, Yanpeng Li, Naveed Afzal, Hongfang Liu
A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. BCB (2015)
Yanshan Wang, Saeed Mehrabi, Majid Rastegar-Mojarad, Dingcheng Li, Hongfang Liu
Retrieval of Semantically Similar Healthcare Questions in Healthcare Forums. ICHI (2015)
Yanshan Wang, Dingcheng Li, Hongfang Liu, In-Chan Choi
Generalized Ensemble Model for Document Ranking. CoRR (2015)
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)
Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver, Hongfang Liu, Mathew J. Palakal
Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. ICHI (2015)
Liwei Wang, Guoqian Jiang, Dingcheng Li, Hongfang Liu
Standardizing adverse drug event reporting data. J. Biomed. Semant. 5 (2014)
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)
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)
Stephen T. Wu, Dingcheng Li, James J. Masanz, Hongfang Liu
Layered Spaces for Clinical Information Retrieval. AMIA (2014)
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)
Dingcheng Li, Zhen Wang, Feichen Shen, Mohammad Hassan Murad, Hongfang Liu
Towards a multi-level framework for supporting systematic review - A pilot study. BIBM (2014)
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)
Dingcheng Li, Janet Okamoto, Hongfang Liu, Scott Leischow
An author topic analysis on NCI DCP/DCCPS PIs. BCB (2014)
Dingcheng Li, Janet Okamoto, Scott Leischow, Hongfang Liu
An Author Topic Analysis of Tobacco Regulation Investigators. PAKDD Workshops (2014)
Liwei Wang, Guoqian Jiang, Dingcheng Li, Hongfang Liu
Standardizing Drug Adverse Event Reporting Data. MedInfo (2013)
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)
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)
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)
Dongqing Zhu, Dingcheng Li, Ben Carterette, Hongfang Liu
An Incremental Approach for MEDLINE MeSH Indexing. BioASQ@CLEF (2013)
Dingcheng Li, Liwei Wang, Cui Tao, Christopher G. Chute, Hongfang Liu
Coreference Resolution from Medical Corpus with Topic Modeling. AMIA (2013)
Yuji Zhang, Dingcheng Li, Cui Tao, Feichen Shen, Hongfang Liu
An integrative computational approach to identify disease-specific networks from PubMed literature information. BIBM (2013)
Dingcheng Li, Hongfang Liu, Christopher G. Chute, Siddhartha Jonnalagadda
Towards assigning references using semantic, journal and citation relevance. BIBM (2013)
Sunghwan Sohn, Kavishwar B. Wagholikar, Dingcheng Li, Siddhartha Jonnalagadda, Cui Tao, Ravikumar Komandur Elayavilli, Hongfang Liu
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. J. Am. Medical Informatics Assoc. 20 (5) (2013)
Dingcheng Li
Applying JBoss® Drools Business Rules Management System for Electronic Health Records Driven Phenotyping. AMIA (2012)
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)
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)
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)
Siddhartha Jonnalagadda, Dingcheng Li, Sunghwan Sohn, Stephen Tze-Inn Wu, Kavishwar B. Wagholikar, Manabu Torii, Hongfang Liu
Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. J. Am. Medical Informatics Assoc. 19 (5) (2012)
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)
Dingcheng Li, Swapna Somasundaran, Amit Chakraborty
ERD-MedLDA: Entity relation detection using supervised topic models with maximum margin learning. Nat. Lang. Eng. 18 (2) (2012)
Stephen T. Wu, Hongfang Liu, Dingcheng Li, Cui Tao, Mark A. Musen, Christopher G. Chute, Nigam H. Shah
Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis. J. Am. Medical Informatics Assoc. 19 (e1) (2012)
Dingcheng Li, Timothy A. Miller, William Schuler
A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. ACL (2011)
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)
Dingcheng Li, Guergana Savova, Karin Kipper Schuler
Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts. BioNLP (2008)