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2020 – today
- 2024
[c44]Keyuan Jiang, Gordon R. Bernard:
The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts. BIBM 2024: 5494-5498- 2023
- [c43]Keyuan Jiang, Valli Devendra, Soniya Chavan, Gordon R. Bernard:
Detection of Day-Based Health Evidence with Pretrained Large Language Models: A Case of COVID-19 Symptoms in Social Media Posts. BIBM 2023: 4208-4212 - [c42]Keyuan Jiang
, Mohammed M. Mujtaba, Gordon R. Bernard:
Answering List-Type Questions in Health Domain with Pretrained Large Language Model: A Case for COVID-19 Symptoms. MedInfo 2023: 629-633 - [c41]Keyuan Jiang, Mohammed M. Mujtaba, Gordon R. Bernard:
Large Language Model as Unsupervised Health Information Retriever. MIE 2023: 833-834 - 2022
- [c40]Keyuan Jiang, Minghao Zhu, Gordon R. Bernard:
Discovery of COVID-19 Symptomatic Experience Reported by Twitter Users. MIE 2022: 664-668 - [c39]Keyuan Jiang, Minghao Zhu, Gordon R. Bernard:
Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models. PKDD/ECML Workshops (2) 2022: 307-316 - 2021
- [c38]Minghao Zhu, Keyuan Jiang:
Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects. BioNLP@NAACL-HLT 2021: 228-237 - [c37]Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard:
Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network. MedInfo 2021: 767-771 - [c36]Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard:
Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model. PKDD/ECML Workshops (2) 2021: 468-478 - [c35]Xiaoyu Long, Xianping Wang, Ricardo A. Calix, Tae-Hoon Kim, Keyuan Jiang:
Mapping Chinese Oracle-bone Glyphs to Simplified Glyphs with Generative Adversarial Networks. UEMCON 2021: 352-357 - [c34]Xiaoyu Long, Xianping Wang, Ricardo A. Calix, Tae-Hoon Kim, Keyuan Jiang:
Categorizing Chinese Glyphs Based on Liushu With Convolutional Neural Networks. UEMCON 2021: 396-401 - 2020
- [c33]Minghao Zhu, Youzhe Song, Ge Jin, Keyuan Jiang:
Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating. LOUHI@EMNLP 2020: 127-137 - [c32]Keyuan Jiang, Liyuan Huang, Tingyu Chen, Gelareh Karbaschi, Dingkai Zhang, Gordon R. Bernard:
Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids. BIBM 2020: 2603-2609 - [c31]Keyuan Jiang, Shichao Feng, Liyuan Huang, Tingyu Chen, Gordon R. Bernard:
Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity. MIE 2020: 874-878 - [p1]Keyuan Jiang, Shichao Feng, Ricardo A. Calix, Gordon R. Bernard:
Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses. Precision Health and Medicine 2020: 45-55
2010 – 2019
- 2019
- [j10]Yonghua Xiong, Suzhen Huang, Min Wu, Jinhua She, Keyuan Jiang:
A Johnson's-Rule-Based Genetic Algorithm for Two-Stage-Task Scheduling Problem in Data-Centers of Cloud Computing. IEEE Trans. Cloud Comput. 7(3): 597-610 (2019) - [c30]Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ravish Gupta, Ricardo A. Calix, Gordon R. Bernard:
An Explainable Approach of Inferring Potential Medication Effects from Social Media Data. KR4HC/ProHealth/TEAAM@AIME 2019: 82-92 - [c29]Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard:
Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations. EMBC 2019: 6093-6096 - [c28]Keyuan Jiang, Tingyu Chen, Liyuan Huang, Gelareh Karbaschi, Gordon R. Bernard:
Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding. SEPDA@ISWC 2019: 68-77 - 2018
- [j9]Keyuan Jiang, Shichao Feng, Qunhao Song, Ricardo A. Calix, Matrika Gupta, Gordon R. Bernard:
Identifying tweets of personal health experience through word embedding and LSTM neural network. BMC Bioinform. 19-S(8): 67-74 (2018) - [j8]Mingqing Huang, Guobing Zou, Bofeng Zhang, Yanglan Gan, Susu Jiang, Keyuan Jiang:
Identifying influential individuals in microblogging networks using graph partitioning. Expert Syst. Appl. 102: 70-82 (2018) - [j7]Mingqing Huang, Guobing Zou, Bofeng Zhang, Yue Liu, Yajun Gu, Keyuan Jiang:
Overlapping community detection in heterogeneous social networks via the user model. Inf. Sci. 432: 164-184 (2018) - [c27]Shichao Feng, Keyuan Jiang, Jiyun Li, Ricardo A. Calix, Matrika Gupta:
Detecting Personal Experience Tweets for Health Surveillance Using Unsupervised Feature Learning and Recurrent Neural Networks. AAAI Workshops 2018: 425-430 - [c26]Qiubo Huang, Yuxiao Qian, Guohua Liu, Keyuan Jiang:
Matching Algorithm of Composite Service Based on Indexing Mechanism in BPM. ICCCS (1) 2018: 635-647 - [c25]Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard:
Identifying Consumer Health Terms of Side Effects in Twitter Posts. ICIMTH 2018: 273-276 - [c24]Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ricardo A. Calix, Gordon R. Bernard:
A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter. MIE 2018: 136-140 - 2017
- [j6]Yonghua Xiong, Ya Chen, Keyuan Jiang, Yongbing Tang:
An energy-aware task consolidation algorithm for cloud computing data centre. Int. J. High Perform. Comput. Netw. 10(4/5): 352-358 (2017) - [c23]Ricardo A. Calix, Ravish Gupta, Matrika Gupta, Keyuan Jiang:
Deep gramulator: Improving precision in the classification of personal health-experience tweets with deep learning. BIBM 2017: 1154-1159 - [c22]Keyuan Jiang, Yongbing Tang, G. Elliott Cook, Michael M. Madden:
Discovering Potential Effects of Dietary Supplements from Twitter Data. DH 2017: 119-126 - [c21]Keyuan Jiang, Ravish Gupta, Matrika Gupta, Ricardo A. Calix, Gordon R. Bernard:
Identifying personal health experience tweets with deep neural networks. EMBC 2017: 1174-1177 - 2016
- [j5]Yonghua Xiong, Lei Li, Keyuan Jiang, Hong Yu:
Third-Party Broker-Based Resource Management in Mobile Computing. J. Adv. Comput. Intell. Intell. Informatics 20(2): 262-270 (2016) - [j4]Yonghua Xiong, Shao-Yun Wan, Jin-Hua She, Min Wu, Yong He, Keyuan Jiang:
An energy-optimization-based method of task scheduling for a cloud video surveillance center. J. Netw. Comput. Appl. 59: 63-73 (2016) - [j3]Yonghua Xiong, Chengda Lu, Min Wu, Keyuan Jiang, Dianhong Wang:
A Low Energy Consumption Storage Method for Cloud Video Surveillance Data Based on SLA Classification. Mob. Inf. Syst. 2016: 6270738:1-6270738:13 (2016) - [c20]Keyuan Jiang, Ricardo A. Calix, Matrika Gupta:
Construction of a Personal Experience Tweet Corpus for Health Surveillance. BioNLP@ACL 2016: 128-135 - [c19]Yonghua Xiong, Zhihao Cheng, Chengda Lu, Min Wu, Keyuan Jiang:
An Energy-Aware Workload Balancing Method for Cloud Video Data Storage Management. CBD 2016: 7-12 - [c18]Dongping Fu, Yonghua Xiong, Chengda Lu, Min Wu, Keyuan Jiang:
A Task Scheduling Method for Energy-Efficient Cloud Video Surveillance System Using a Time-Clustering-Based Genetic Algorithm. ICPADS 2016: 661-668 - 2015
- [j2]Jianxing Zheng, Bofeng Zhang, Xiaodong Yue, Guobing Zou, Jianhua Ma, Keyuan Jiang:
Neighborhood-user profiling based on perception relationship in the micro-blog scenario. J. Web Semant. 34: 13-26 (2015) - [c17]Lei Li, Yonghua Xiong, Shufan Guo, Keyuan Jiang, Yongbing Tang:
A Streaming Execution Method for Multi-services in Mobile Cloud Computing. ICA3PP (3) 2015: 55-67 - [c16]Keyuan Jiang, Qunhao Song:
A Preliminary Investigation of Container-Based Virtualization in Information Technology Education. SIGITE 2015: 149-152 - 2014
- [c15]Yajun Gu, Bofeng Zhang, Guobing Zou, Mingqing Huang, Keyuan Jiang:
Overlapping Community Detection in social network based on Microblog User Model. DSAA 2014: 333-339 - [c14]Zhijun Wang, Keyuan Jiang, Ming Du, Jiajin Le:
Content-based query for class-level tagged items via the EPC network. IOT 2014: 43-48 - 2013
- [c13]Keyuan Jiang, Yujing Zheng:
Mining Twitter Data for Potential Drug Effects. ADMA (1) 2013: 434-443 - 2011
- [c12]Ge Jin, Barbara Nicolai, Keyuan Jiang, Charles Winer:
Distributed image processing and classification for GIS based disaster management and communication system. COM.Geo 2011: 27:1-27:6 - 2010
- [c11]Ge Jin, Nimish Nimish, Keyuan Jiang, Lash Mapa, Mohammad Zahraee:
Development of Immersive Virtual Reality Rehabilitation System with Data Glove. CGVR 2010: 46-50 - [c10]Barbara Nicolai, Ge Jin, Keyuan Jiang, Charles Winer:
Disaster assessment with parallel image processing for GIS based local area disaster decision support system. COM.Geo 2010 - [c9]Susan Uzubell, Samuel Liles, Keyuan Jiang:
An analysis of the common body of knowledge of software assurance. SIGITE Conference 2010: 125-130 - [c8]Susan Uzubell, Samuel Liles, Keyuan Jiang:
Software assurance in academia. SIGITE Conference 2010: 157-158
2000 – 2009
- 2009
- [c7]Keyuan Jiang, Charles Winer:
Introducing an application integration course in IT curriculum. SIGITE Conference 2009: 33-36 - 2008
- [c6]Keyuan Jiang, Reza Kamali:
Integration of configuration management into the IT curriculum. SIGITE Conference 2008: 183-186 - 2007
- [c5]Keyuan Jiang:
An Object Model Based Repository for Biological Pathways Using XML Database Technology. International Conference on Computational Science (2) 2007: 393-396 - 2006
- [j1]Reza Kamali, Samuel Liles, Charles Winer, Keyuan Jiang, Barbara Nicolai:
A Curriculum Model Based on the SIGITE Guidelines. J. Inf. Technol. Educ. 5: 363-371 (2006) - [c4]Keyuan Jiang:
Data Integration with BioPAX Pathway Datasets for Automated Navigation. BIOCOMP 2006: 63-68 - [c3]Keyuan Jiang, Christopher Nash:
Application of XML Database Technology to Biological Pathway Datasets. EMBC 2006: 4217-4220 - 2005
- [c2]Reza Kamali, Samuel Liles, Charles Winer, Keyuan Jiang, Barbara Nicolai:
An implementation of the SIGITE model curriculum. SIGITE Conference 2005: 15-17 - 2004
- [c1]Keyuan Jiang, John Maniotes, Reza Kamali:
A different approach of teaching introductory visual basic course. SIGITE Conference 2004: 219-223
Coauthor Index
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