Devins, J., Tibshirani, J., & Lin, J. (2022). Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini Presented at the Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini conference. https://doi.org/10.1145/3488560.3502186
References
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2022
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
Zhong, W., Xie, Y., & Lin, J. (2022). Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef Presented at the Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef conference. Retrieved from http://ceur-ws.org/Vol-3180/paper-09.pdf
Durvasula, S., Kiguru, R., Mathur, S., Xu, J., Lin, J., & Vijaykumar, N. (2022). VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks Presented at the VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks conference. https://doi.org/10.1145/3559009.3569675
Hebert, L., Golab, L., Poupart, P., & Cohen, R. (2022). FedFormer: Contextual Federation With Attention in Reinforcement Learning ArXiv, abs/2205.13697. https://doi.org/10.48550/arXiv.2205.13697
Kalavri, V., & Salihoglu, S. (2022). GRADES-NDA\textquoteright22: 5th International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) Presented at the GRADES-NDA\textquoteright22: 5th International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) conference. https://doi.org/10.1145/3514221.3524074
Hebert, L., Golab, L., & Cohen, R. (2022). Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context Presented at the Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context conference. https://doi.org/10.1109/WI-IAT55865.2022.00012
Ghayyur, S., Ghosh, D., He, X., & Mehrotra, S. (2022). MIDE: Accuracy Aware Minimally Invasive Data Exploration for Decision Support Proceedings of the VLDB Endowment (PVLDB), 15, 2653-2665. Retrieved from https://www.vldb.org/pvldb/vol15/p2653-ghayyur.pdf
Tang, R., Kumar, K., Xin, J., Vyas, P., Li, W., Yang, G., … Lin, J. (2022). Temporal Early Exiting for Streaming Speech Commands Recognition Presented at the Temporal Early Exiting for Streaming Speech Commands Recognition conference. https://doi.org/10.1109/ICASSP43922.2022.9746863
Liu, L., Li, M., Lin, J., Riedel, S., & Stenetorp, P. (2022). Query Expansion Using Contextual Clue Sampling With Language Models ArXiv, abs/2210.07093. https://doi.org/10.48550/arXiv.2210.07093