Wang, R. ., Wang, J. ., Idreos, S. ., Ozsu, T. ., & Aref, W. G. (2022). The Case for Distributed Shared-Memory Databases With RDMA-Enabled Memory Disaggregation. ArXiv, abs/2207.03027. https://doi.org/10.48550/arXiv.2207.03027
Publications
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Kargar, M. ., Golab, L. ., Srivastava, D. ., Szlichta, J. ., & Zihayat, M. . (2022). Effective Keyword Search Over Weighted Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34, 601-616. https://doi.org/10.1109/TKDE.2020.2985376
Abebe, M. ., Lazu, H. ., & Daudjee, K. . (2022). Proteus: Autonomous Adaptive Storage for Mixed Workloads. Proteus: Autonomous Adaptive Storage for Mixed Workloads. Presented at the. https://doi.org/10.1145/3514221.3517834
Jin, G. ., & Salihoglu, S. . (2022). Making RDBMSs Efficient on Graph Workloads Through Predefined Joins. Proceedings of the VLDB Endowment (PVLDB), 15, 1011-1023. Retrieved from https://www.vldb.org/pvldb/vol15/p1011-jin.pdf
Dehghan, M. ., Kumar, D. ., & Golab, L. . (2022). GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. Presented at the. Retrieved from https://aclanthology.org/2022.findings-acl.77
Zhong, Y. ., Xiao, J. ., Vetterli, T. ., Matin, M. ., Loo, E. ., Lin, J. ., Bourgon, R. ., & Shapira, O. . (2022). Improving Precancerous Case Characterization via Transformer-Based Ensemble Learning. ArXiv, abs/2212.05150. https://doi.org/10.48550/arXiv.2212.05150
Zhong, W. ., Xie, Y. ., & Lin, J. . (2022). Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef. Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef. Presented at the. Retrieved from http://ceur-ws.org/Vol-3180/paper-09.pdf
Zhong, W. ., Yang, J.-H. ., & Lin, J. . (2022). Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval. ArXiv, abs/2203.11163. https://doi.org/10.48550/arXiv.2203.11163
Shi, P. ., Zhang, R. ., Bai, H. ., & Lin, J. . (2022). XRICL: Cross-Lingual Retrieval-Augmented in-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing. ArXiv, abs/2210.13693. https://doi.org/10.48550/arXiv.2210.13693
Dehghan, M. ., Kumar, D. ., & Golab, L. . (2022). GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. ArXiv, abs/2203.09742. https://doi.org/10.48550/arXiv.2203.09742