Wei Jin

Previous Scheduled Teaching

Published Intellectual Contributions

Book Chapter

• Yang, W., Chowdhury, S., Jin, W. (2023). Finding New Connections between Concepts from Medline Database Incorporating Domain Knowledge. Research Advances in Data Mining Techniques and Applications. pp. 2-17.
• Singh, A., Porwal, U., Bhardwaj, A., Jin, W. (2023). Multi-Scale Representation Learning for Biomedical Analysis. Deep Learning. 48 pp. 9-27. Elsevier.
• Yan, P., Slator, B., Jin, W. (2015). Intelligent Tutors In Immersive Virtual Environments. E-Learning Systems, Environments and Approaches: Theory and Implementation.

Conference Proceeding

• Xu, R., Li, G., Jin, W., Chen, A., Sheng, V. (2023). ACCD: An Adaptive Clustering-based Collusion Detector in Crowdsourcing.. The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023).
• Xu, R., Li, G., Jin, W., Chen, A., Sheng, V. (2023). Adaptive Clustering-Based Collusion Detection in Crowdsourcing. Advanced Intelligent Computing Technology and Applications - 19th International Conference. pp. 261-275.
• Yang, W., Chowdhury, S., Jin, W. (2022). Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques. Advanced Data Mining and Applications - Proceedings of the 18th International Conference, ADMA 2022. pp. 41-52.
• Ding, J., Jin, W. (2021). Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets. The 30th International Conference on Artificial Neural Networks (ICANN). 477-490.
• Ding, J., Jin, W. (2021). Exploring Self-Supervised Graph Learning in Literature-Based Discovery. The 9th IEEE International Conference on Healthcare Informatics (ICHI). 53-62. IEEE.
• Singh, A., Jin, W. (2020). On Using Composite Word Embeddings to Improve Biomedical Term Similarity. IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). 281-287. IEEE.
• Ding, J., Jin, W. (2019). OverlapLDA: A Generative Approach for Literature-Based Discovery. Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019). 1-8. IEEE.
• Ding, J., Jin, W. (2019). A Prior Setting that Improves LDA in both Document Representation and Topic Extraction. Proceedings of 2019 international Joint Conference on Neural Networks (IJCNN 2019). 9-16. International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society.
• Ding, J., Jin, W. (2019). MDLDA: A New Multi-Dimension Topic Approach. Proceedings of 2019 international Joint Conference on Neural Networks (IJCNN 2019). 1-8. International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society.
• Shaik, A., Jin, W. (2019). Biomedical Semantic Embeddings: Using hybrid sentences to construct biomedical word embeddings and its applications. Proceedings of the 7th IEEE International Conference on Healthcare Informatics (ICHI 2019). 1-9. IEEE.
• Singh, A., Blanco, E., Jin, W. (2019). Incorporating Emoji Descriptions Improves Tweet Classification. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2096--2101. Minneapolis, Minnesota, Association for Computational Linguistics. https://www.aclweb.org/anthology/N19-1214
• Dharmavaram, S., Shaik, A., Jin, W. (2019). Mining Biomedical Data for Hidden Relationship Discovery. Proceedings of the 7th IEEE International Conference on Healthcare Informatics (ICHI 2019). 1-10. IEEE.
• Florescu, C., Jin, W. (2019). A Supervised Keyphrase Extraction System Based on Graph Representation Learning. Proceedings of Advances in Information Retrieval - 41st European Conference on IR Research (ECIR 2019). 197-212. Lecture Notes in Computer Science, Springer.
• Ding, J., Jin, W., Chen, H. (2018). Regression-Based Documents Reranking for Precision Medicine. Proceedings of the 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE 2018). 283-286. IEEE.
• Jin, W., Florescu, C. (2018). Improving Search and Retrieval in Digital Libraries by Leveraging Keyphrase Extraction Systems. Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (JCDL 2018). 419-420. ACM/IEEE.
• Florescu, C., Jin, W. (2018). Learning Feature Representations for Keyphrase Extraction. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). 8077-8078. The Association for the Advancement of Artificial Intelligence and The MIT Press.
• Zhu, Y., Jin, W., Zhang, Y. (2017). Identifying Implicit Features in Sentiment Analysis with Conditional Random Fields and Pattern Analysis. Proceedings of the The 30th International Conference on Computer Applications in Industry and Engineering. 185-192. International Society for Computers and Their Applications (ISCA).
• Li, X., Jin, W. (2016). Cross-Document Knowledge Discovery Using Semantic Concept Topic Model. 108-114. The 15th IEEE International Conference on Machine Learning and Applications (ICMLA'16).
• Jha, K., Jin, W. (2016). Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge. 317-326. The 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics.
• Chen, D., Edstrom, J., Chen, X., Jin, W., Wang, J., Gong, N. (2016). Data-Driven Low-Cost On-Chip Memory with Adaptive Power-Quality Trade-off for Mobile Video Streaming. 188-193. The 2016 IEEE/ACM International Symposium on Low Power Electronics and Design.
• Jha, K., Jin, W. (2016). Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach. 310-317. The 21st International Conference on Applications of Natural Language to Information System.
• Singh, A., Jin, W. (2016). Ranking Summaries for Informativeness and Coherence without Reference Summaries. 104-109. The Twenty-Ninth International Florida Artificial Intelligence Research Society Conference.
• Gopalakrishnan, V., Jha, K., Zhang, A., Jin, W. (2016). Generating Hypothesis: Using Global and Local Features in Graph to Discover New Knowledge from Medical Literature. 23 – 30. The 8th International Conference on Bioinformatics and Computational Biology (BICoB 2016).
• Yan, P., Jha, K., Jin, W. (2016). Discovering Semantic Relationships between Concepts from MEDLINE. 370- 373. The 10th IEEE International Conference on Semantic Computing (ICSC 2016).
• Jin, W., Ho, H.H., Srihari, R.K. (2009). OpinionMiner: a novel machine learning system for web opinion mining and extraction. Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. 1195–1204.

Journal Article

• Ding, J., Jin, W. (2021). COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications. PLOS One. PLoS One. 2021; 16(5): e0251094. pp. 1-16. PLOS.
• Gopalakrishnan, V., Jha, K., Jin, W., Zhang, A. (2019). A survey on literature based discovery approaches in biomedical domain. Vol. 93 141-159. Elsevier.
• Yan, P., Jin, W. (2017). Building semantic kernels for cross-document knowledge discovery using Wikipedia. 51 (1) 287-310. Springer.
• Yan, P., Jin, W. (2015). Improving Cross-Document Knowledge Discovery through Content and Link Analysis of Wikipedia. Other. 21 161-184. Springer.

Contracts, Grants and Sponsored Research

Contract

• Jin, W. (Principal), "EAGER: Data-Mining Driven Power-Efficient Intelligent Memory Storage for Mobile Video Applications," sponsored by National Science Foundation, Federal, $28831 Funded. (2016 - 2018).

Grant - Research

• Jin, W. (Principal), "CAREER: Creation, Visualization, and Mining of Domain Textual Graphs: Integrating Domain Knowledge and Human Intelligence," sponsored by National Science Foundation, Federal, $498432 Funded. (2015 - 2023).
• Jin, W. (Principal), "CAREER: Creation, Visualization, and Mining of Domain Textual Graphs: Integrating Domain Knowledge and Human Intelligence," sponsored by National Science Foundation, FED, Funded. (2017 - 2022).
• Jin, W. (Principal), "EAGER: Data-Mining Driven Power-Efficient Intelligent Memory Storage for Mobile Video Applications," sponsored by North Dakota State University, NFP, Funded. (2016 - 2018).