| 2025 | APSEC | Seed-Adapted Cross-State Protocol Fuzzing. | Dingcheng Li, Shihao Zhu, Yan Cai, Long Zhang |
| 2024 | IJCNN | Generalized Pareto GAN: Generating Extremes of Distributions. | Jun Li, Dingcheng Li, Ping Li, Gennady Samorodnitsky |
| 2024 | TrustCom | Efficient Multi-subset Fine-grained Authorization PSI over Outsourced Encrypted Datasets. | Jinlong Zheng, Jia-Nan Liu, Minhua Su, Dingcheng Li, Kai He, Xueqiao Liu |
| 2024 | SDM | Word Embedding with Neural Probabilistic Prior. | Shaogang Ren, Dingcheng Li, Ping Li |
| 2023 | AAAI | 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 |
| 2023 | SIGIR | Power Norm Based Lifelong Learning for Paraphrase Generations. | Dingcheng Li, Peng Yang, Yue Zhang, Ping Li |
| 2023 | WACV | Learning Latent Structural Relations with Message Passing Prior. | Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li |
| 2022 | CIKM | Latent Coreset Sampling based Data-Free Continual Learning. | Zhuoyi Wang, Dingcheng Li, Ping Li |
| 2022 | CoNLL | Continual Learning for Natural Language Generations with Transformer Calibration. | Peng Yang, Dingcheng Li, Ping Li |
| 2022 | EMNLP | LPC: A Logits and Parameter Calibration Framework for Continual Learning. | Xiaodi Li, Zhuoyi Wang, Dingcheng Li, Latifur Khan, Bhavani Thuraisingham |
| 2022 | ICDM | Causal Effect Prediction with Flow-based Inference. | Shaogang Ren, Dingcheng Li, Ping Li |
| 2022 | ICTIR | Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. | Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li |
| 2022 | KDD | Variational Flow Graphical Model. | Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li |
| 2022 | NAACL | Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation. | Dingcheng Li, Zheng Chen, Eunah Cho, Jie Hao, Xiaohu Liu, Fan Xing, Chenlei Guo, Yang Liu |
| 2022 | NAACL | Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. | Haiyan Yin, Dingcheng Li, Ping Li |
| 2022 | NAACL | PromptGen: Automatically Generate Prompts using Generative Models. | Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li |
| 2021 | EMNLP | Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. | Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu |
| 2021 | EMNLP | A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. | Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li |
| 2021 | EMNLP | Contextual Rephrase Detection for Reducing Friction in Dialogue Systems. | Zhuoyi Wang, Saurabh Gupta, Jie Hao, Xing Fan, Dingcheng Li, Alexander Hanbo Li, Chenlei Guo |
| 2021 | ICWSM | Textual Analysis and Timely Detection of Suspended Social Media Accounts. | Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li |
| 2021 | SIGIR | CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning. | Yigong Wang, Zhuoyi Wang, Yu Lin, Latifur Khan, Dingcheng Li |
| 2020 | AAAI | Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. | Haiyan Yin, Dingcheng Li, Xu Li, Ping Li |
| 2020 | EMNLP | Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. | Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu |
| 2020 | WWW | Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. | Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li |
| 2020 | SIGIR | Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. | Dingcheng Li, Xu Li, Jun Wang, Ping Li |
| 2019 | ACL | End-to-end Deep Reinforcement Learning Based Coreference Resolution. | Hongliang Fei, Xu Li, Dingcheng Li, Ping Li |
| 2019 | NAACL | Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process. | Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li |
| 2019 | WWW | Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning. | Dingcheng Li, Jingyuan Zhang, Ping Li |
| 2019 | WSDM | Knowledge Graph Embedding Based Question Answering. | Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li |
| 2019 | SDM | TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding. | Dingcheng Li, Jingyuan Zhang, Ping Li |
| 2016 | AMIA | A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text. | Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu |
| 2016 | AMIA | Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision. | Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu |
| 2016 | AMIA | Discovering Associations between Problem List and Practice Setting. | Liwei Wang, Dingcheng Li, Majid Rastegar-Mojarad, Hongfang Liu |
| 2016 | AMIA | A Part-Of-Speech Weighting Scheme for Clinical Information Retrieval. | Yanshan Wang, Stephen T. Wu, Dingcheng Li, Hongfang Liu |
| 2016 | AMIA | Answering patients' questions using expert-vetted online resources: A case study of diabetes. | Yuqun Zeng, Liwei Wang, Yanshan Wang, Dingcheng Li, Hongfang Liu |
| 2015 | AMIA | A Deep Learning Framework for Improving Medical Information Retrieval. | Dingcheng Li, Saeed Mehrabi, Yue Yu, Hongfang Liu |
| 2014 | AMIA | 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 |
| 2014 | AMIA | 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 |
| 2014 | AMIA | Layered Spaces for Clinical Information Retrieval. | Stephen T. Wu, Dingcheng Li, James J. Masanz, Hongfang Liu |
| 2014 | PAKDD | An Author Topic Analysis of Tobacco Regulation Investigators. | Dingcheng Li, Janet Okamoto, Scott Leischow, Hongfang Liu |
| 2013 | AMIA | Coreference Resolution from Medical Corpus with Topic Modeling. | Dingcheng Li, Liwei Wang, Cui Tao, Christopher G. Chute, Hongfang Liu |
| 2013 | AMIA | 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 |
| 2012 | AMIA | 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 |
| 2012 | AMIA | Applying JBoss Drools Business Rules Management System for Electronic Health Records Driven Phenotyping. | Dingcheng Li |
| 2012 | AMIA | 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 |
| 2012 | AMIA | 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 |
| 2011 | ACL | A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. | Dingcheng Li, Tim Miller, William Schuler |