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.
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.
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.