A different approach of teaching introductory visual basic course. - Keyuan Jiang; John Maniotes; Reza Kamali (SIGITE Conference, 2004)

An implementation of the SIGITE model curriculum. - Reza Kamali; Samuel Liles; Charles Winer; Keyuan Jiang; Barbara Nicolai (SIGITE Conference, 2005)

Data Integration with BioPAX Pathway Datasets for Automated Navigation. - Keyuan Jiang (BIOCOMP, 2006)

Application of XML Database Technology to Biological Pathway Datasets. - Keyuan Jiang; Christopher Nash (EMBC, 2006)

A Curriculum Model Based on the SIGITE Guidelines. - Reza Kamali; Samuel Liles; Charles Winer; Keyuan Jiang; Barbara Nicolai (J. Inf. Technol. Educ., 2006)

An Object Model Based Repository for Biological Pathways Using XML Database Technology. - Keyuan Jiang (International Conference on Computational Science (2), 2007)

Integration of configuration management into the IT curriculum. - Keyuan Jiang; Reza Kamali (SIGITE Conference, 2008)

Introducing an application integration course in IT curriculum. - Keyuan Jiang; Charles Winer (SIGITE Conference, 2009)

Development of Immersive Virtual Reality Rehabilitation System with Data Glove. - Ge Jin 005; Nimish Nimish; Keyuan Jiang; Lash Mapa; Mohammad Zahraee (CGVR, 2010)

Disaster assessment with parallel image processing for GIS based local area disaster decision support system. - Barbara Nicolai; Ge Jin 005; Keyuan Jiang; Charles Winer (COM.Geo, 2010)

An analysis of the common body of knowledge of software assurance. - Susan Uzubell; Samuel Liles; Keyuan Jiang (SIGITE Conference, 2010)

Software assurance in academia. - Susan Uzubell; Samuel Liles; Keyuan Jiang (SIGITE Conference, 2010)

Distributed image processing and classification for GIS based disaster management and communication system. - Ge Jin 005; Barbara Nicolai; Keyuan Jiang; Charles Winer (COM.Geo, 2011)

Mining Twitter Data for Potential Drug Effects. - Keyuan Jiang; Yujing Zheng (ADMA (1), 2013)

Overlapping Community Detection in social network based on Microblog User Model. - Yajun Gu; Bofeng Zhang; Guobing Zou; Mingqing Huang; Keyuan Jiang (DSAA, 2014)

Content-based query for class-level tagged items via the EPC network. - Zhijun Wang; Keyuan Jiang; Ming Du; Jiajin Le (IOT, 2014)

A Streaming Execution Method for Multi-services in Mobile Cloud Computing. - Lei Li; Yonghua Xiong; Shufan Guo; Keyuan Jiang; Yongbing Tang (ICA3PP (3), 2015)

A Preliminary Investigation of Container-Based Virtualization in Information Technology Education. - Keyuan Jiang; Qunhao Song (SIGITE, 2015)

Neighborhood-user profiling based on perception relationship in the micro-blog scenario. - Jianxing Zheng; Bofeng Zhang; Xiaodong Yue; Guobing Zou; Jianhua Ma 002; Keyuan Jiang (J. Web Semant., 2015)

Construction of a Personal Experience Tweet Corpus for Health Surveillance. - Keyuan Jiang; Ricardo A. Calix; Matrika Gupta (BioNLP@ACL, 2016)

An Energy-Aware Workload Balancing Method for Cloud Video Data Storage Management. - Yonghua Xiong; Zhihao Cheng; Chengda Lu; Min Wu 002; Keyuan Jiang (CBD, 2016)

A Task Scheduling Method for Energy-Efficient Cloud Video Surveillance System Using a Time-Clustering-Based Genetic Algorithm. - Dongping Fu; Yonghua Xiong; Chengda Lu; Min Wu 002; Keyuan Jiang (ICPADS, 2016)

Third-Party Broker-Based Resource Management in Mobile Computing. - Yonghua Xiong; Lei Li; Keyuan Jiang; Hong Yu (J. Adv. Comput. Intell. Intell. Informatics, 2016)

An energy-optimization-based method of task scheduling for a cloud video surveillance center. - Yonghua Xiong; Shao-Yun Wan; Jin-Hua She; Min Wu 002; Yong He 003; Keyuan Jiang (J. Netw. Comput. Appl., 2016)

A Low Energy Consumption Storage Method for Cloud Video Surveillance Data Based on SLA Classification. - Yonghua Xiong; Chengda Lu; Min Wu 002; Keyuan Jiang; Dianhong Wang (Mob. Inf. Syst., 2016)

Deep gramulator: Improving precision in the classification of personal health-experience tweets with deep learning. - Ricardo A. Calix; Ravish Gupta; Matrika Gupta; Keyuan Jiang (BIBM, 2017)

Discovering Potential Effects of Dietary Supplements from Twitter Data. - Keyuan Jiang; Yongbing Tang; G. Elliott Cook; Michael M. Madden 002 (DH, 2017)

Identifying personal health experience tweets with deep neural networks. - Keyuan Jiang; Ravish Gupta; Matrika Gupta; Ricardo A. Calix; Gordon R. Bernard (EMBC, 2017)

An energy-aware task consolidation algorithm for cloud computing data centre. - Yonghua Xiong; Ya Chen; Keyuan Jiang; Yongbing Tang (Int. J. High Perform. Comput. Netw., 2017)

Detecting Personal Experience Tweets for Health Surveillance Using Unsupervised Feature Learning and Recurrent Neural Networks. - Shichao Feng; Keyuan Jiang; Jiyun Li; Ricardo A. Calix; Matrika Gupta (AAAI Workshops, 2018)

Matching Algorithm of Composite Service Based on Indexing Mechanism in BPM. - Qiubo Huang; Yuxiao Qian; Guohua Liu; Keyuan Jiang (ICCCS (1), 2018)

Identifying Consumer Health Terms of Side Effects in Twitter Posts. - Keyuan Jiang; Tingyu Chen; Ricardo A. Calix; Gordon R. Bernard (ICIMTH, 2018)

A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter. - Keyuan Jiang; Tingyu Chen; Liyuan Huang; Ricardo A. Calix; Gordon R. Bernard (MIE, 2018)

Identifying tweets of personal health experience through word embedding and LSTM neural network. - Keyuan Jiang; Shichao Feng; Qunhao Song; Ricardo A. Calix; Matrika Gupta; Gordon R. Bernard (BMC Bioinform., 2018)

Identifying influential individuals in microblogging networks using graph partitioning. - Mingqing Huang; Guobing Zou; Bofeng Zhang; Yanglan Gan; Susu Jiang; Keyuan Jiang (Expert Syst. Appl., 2018)

A Lightweight Approach to Access to Wireless Network without Operating System Support. - Yonghua Xiong; Jinhua She; Keyuan Jiang (Intell. Autom. Soft Comput., 2018)

Overlapping community detection in heterogeneous social networks via the user model. - Mingqing Huang; Guobing Zou; Bofeng Zhang; Yue Liu; Yajun Gu; Keyuan Jiang (Inf. Sci., 2018)

An Explainable Approach of Inferring Potential Medication Effects from Social Media Data. - Keyuan Jiang; Tingyu Chen; Liyuan Huang; Ravish Gupta; Ricardo A. Calix; Gordon R. Bernard (KR4HC/ProHealth/TEAAM@AIME, 2019)

Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations. - Keyuan Jiang; Tingyu Chen; Ricardo A. Calix; Gordon R. Bernard (EMBC, 2019)

Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding. - Keyuan Jiang; Tingyu Chen; Liyuan Huang; Gelareh Karbaschi; Gordon R. Bernard (SEPDA@ISWC, 2019)

A Johnson's-Rule-Based Genetic Algorithm for Two-Stage-Task Scheduling Problem in Data-Centers of Cloud Computing. - Yonghua Xiong; Suzhen Huang; Min Wu 002; Jinhua She; Keyuan Jiang (IEEE Trans. Cloud Comput., 2019)

Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating. - Minghao Zhu; Youzhe Song; Ge Jin 005; Keyuan Jiang (LOUHI@EMNLP, 2020)

Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids. - Keyuan Jiang; Liyuan Huang; Tingyu Chen; Gelareh Karbaschi; Dingkai Zhang; Gordon R. Bernard (BIBM, 2020)

Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity. - Keyuan Jiang; Shichao Feng; Liyuan Huang; Tingyu Chen; Gordon R. Bernard (MIE, 2020)

Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses. - Keyuan Jiang; Shichao Feng; Ricardo A. Calix; Gordon R. Bernard (Precision Health and Medicine, 2020)

Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects. - Minghao Zhu; Keyuan Jiang (BioNLP@NAACL-HLT, 2021)

Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network. - Keyuan Jiang; Dingkai Zhang; Gordon R. Bernard (MedInfo, 2021)

Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model. - Keyuan Jiang; Dingkai Zhang; Gordon R. Bernard (PKDD/ECML Workshops (2), 2021)

Mapping Chinese Oracle-bone Glyphs to Simplified Glyphs with Generative Adversarial Networks. - Xiaoyu Long; Xianping Wang; Ricardo A. Calix; Tae-Hoon Kim; Keyuan Jiang (UEMCON, 2021)

Categorizing Chinese Glyphs Based on Liushu With Convolutional Neural Networks. - Xiaoyu Long; Xianping Wang; Ricardo A. Calix; Tae-Hoon Kim; Keyuan Jiang (UEMCON, 2021)

Discovery of COVID-19 Symptomatic Experience Reported by Twitter Users. - Keyuan Jiang; Minghao Zhu; Gordon R. Bernard (MIE, 2022)

Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models. - Keyuan Jiang; Minghao Zhu; Gordon R. Bernard (PKDD/ECML Workshops (2), 2022)

Detection of Day-Based Health Evidence with Pretrained Large Language Models: A Case of COVID-19 Symptoms in Social Media Posts. - Keyuan Jiang; Valli Devendra; Soniya Chavan; Gordon R. Bernard (BIBM, 2023)

Answering List-Type Questions in Health Domain with Pretrained Large Language Model: A Case for COVID-19 Symptoms. - Keyuan Jiang; Mohammed M. Mujtaba; Gordon R. Bernard (MedInfo, 2023)

Large Language Model as Unsupervised Health Information Retriever. - Keyuan Jiang; Mohammed M. Mujtaba; Gordon R. Bernard (MIE, 2023)

The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts. - Keyuan Jiang; Gordon R. Bernard (BIBM, 2024)