|
2026 Conference Publication On-device large language models for sequential recommendationXia, Xin, Yin, Hongzhi and Culpepper, Shane (2026). On-device large language models for sequential recommendation. WSDM '26: Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, Boise, ID, United States, 22-26 February 2026. New York, NY, United States: ACM. doi: 10.1145/3773966.3777961 |
|
2026 Journal Article Missing Value Imputation in Tabular Data Lakes Unleashed: A Hybrid ApproachLuo, Feng, Lan, Hai, Luo, Hui, Bao, Zhifeng, Culpepper, J. Shane, Sadiq, Shazia and Wang, Xiaoli (2026). Missing Value Imputation in Tabular Data Lakes Unleashed: A Hybrid Approach. The VLDB Journal, 35 (2) 11. doi: 10.1007/s00778-025-00957-1 |
|
2026 Book Chapter Revisiting Human-vs-LLM Judgments Using the TREC Podcast TrackMansour, Watheq, Shane Culpepper, J., Mackenzie, Joel and Yates, Andrew (2026). Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track. Lecture Notes in Computer Science. (pp. 436-443) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_34 |
|
2025 Conference Publication IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) approachBriegel, Hunter, Pagal, Maya and Culpepper, J. Shane (2025). IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) approach. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730273 |
|
2025 Conference Publication The effects of demographic instructions on LLM personasMagnossão de Paula, Angel Felipe, Culpepper, J. Shane, Moffat, Alistair, Pathiyan Cherumanal, Sachin, Scholer, Falk and Trippas, Johanne (2025). The effects of demographic instructions on LLM personas. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730255 |
|
2025 Journal Article Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)Trippas, Johanne R., Culpepper, J. Shane, Aliannejadi, Mohammad, Allan, James, Amigó, Enrique, Arguello, Jaime, Azzopardi, Leif, Bailey, Peter, Callan, Jamie, Capra, Rob, Craswell, Nick, Croft, Bruce, Dalton, Jeff, Demartini, Gianluca, Dietz, Laura, Dou, Zhicheng, Eickhoff, Carsten, Ekstrand, Michael, Ferro, Nicola, Fuhr, Norbert, Glowacka, Dorota, Hasibi, Faegheh, Hettiachchi, Danula, Jones, Rosie, Kamps, Jaap, Kando, Noriko, Karimi, Sarvnaz, Kato, Makoto P., Koopman, Bevan ... Zuccon, Guido (2025). Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). ACM SIGIR Forum, 59 (1), 1-68. doi: 10.1145/3769733.3769739 |
|
2025 Conference Publication Dataset Discovery via Line ChartsJi, Daomin, Luo, Hui, Bao, Zhifeng and Culpepper, J. Shane (2025). Dataset Discovery via Line Charts. 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, Hong Kong, 19-23 May 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde65448.2025.00046 |
|
2025 Conference Publication Let the Augmentation Path SpeakJi, Daomin, Luo, Hui, Bao, Zhifeng, Sadiq, Shazia and Culpepper, J. Shane (2025). Let the Augmentation Path Speak. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715183 |
|
2025 Journal Article Table integration in data lakes unleashed: pairwise integrability judgment, integrable set discovery, and multi-tuple conflict resolutionJi, Daomin, Luo, Hui, Bao, Zhifeng and Culpepper, J. Shane (2025). Table integration in data lakes unleashed: pairwise integrability judgment, integrable set discovery, and multi-tuple conflict resolution. The VLDB Journal, 34 (3) 36, 1-24. doi: 10.1007/s00778-025-00917-9 |
|
2025 Conference Publication Distinctiveness Maximization in Datasets AssemblageWang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan and Arablouei, Reza (2025). Distinctiveness Maximization in Datasets Assemblage. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April-2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714830 |
|
2025 Conference Publication Examining the Impact of Transcript Variation on Podcast Search and Re-rankingMansour, Watheq, Culpepper, J. Shane and Mackenzie, Joel (2025). Examining the Impact of Transcript Variation on Podcast Search and Re-ranking. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6–10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88714-7_9 |
|
2025 Conference Publication Multimodal feature extraction for assistive technology: evaluation and datasetBriegel, Hunter, Pagal, Maya, Liddle, Jacki and Culpepper, Shane (2025). Multimodal feature extraction for assistive technology: evaluation and dataset. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6 -10 April 2025. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-88717-8_13 |
|
2024 Conference Publication A fully on-disk updatable learned indexLan, Hai, Bao, Zhifeng, Culpepper, J. Shane, Borovica-Gajic, Renata and Dong, Yu (2024). A fully on-disk updatable learned index. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icde60146.2024.00369 |
|
2024 Conference Publication Enhancing human annotation: leveraging large language models and efficient batch processingZendel, Oleg, Culpepper, J. Shane, Scholer, Falk and Thomas, Paul (2024). Enhancing human annotation: leveraging large language models and efficient batch processing. CHIIR ’24: 2024 Conference on Human Information Interaction and Retrieval, Sheffield, United Kingdom, 10-14 March 2024. New York, NY, United States: ACM. doi: 10.1145/3627508.3638322 |
|
2024 Conference Publication Optimizing data acquisition to enhance machine learning performanceWang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan and Arablouei, Reza (2024). Optimizing data acquisition to enhance machine learning performance. 50th International Conference on Very Large Data Bases, Guangzhou, China, 26-30 August 2024. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3648160.3648172 |
|
2024 Conference Publication Navigating data repositories: utilizing line charts to discover relevant datasetsJi, Daomin, Luo, Hui, Bao, Zhifeng and Culpepper, Shane (2024). Navigating data repositories: utilizing line charts to discover relevant datasets. 50th International Conference on Very Large Databases, Guangzhou, China, 26-30 August 2024. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3685800.3685857 |
|
2023 Journal Article Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design ChoicesLan, Hai, Bao, Zhifeng, Culpepper, J. Shane and Borovica-Gajic, Renata (2023). Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. Proceedings of the ACM on Management of Data, 1 (2), 1-22. doi: 10.1145/3589284 |
|
2023 Conference Publication Facility relocation search for good: when facility exposure meets user convenienceLuo, Hui, Bao, Zhifeng, Culpepper, J. Shane, Li, Mingzhao and Zhao, Yanchang (2023). Facility relocation search for good: when facility exposure meets user convenience. ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: ACM. doi: 10.1145/3543507.3583859 |
|
2023 Conference Publication Entropy-based query performance prediction for neural information retrieval systemsZendel, Oleg, Liu, Binsheng, Culpepper, J. Shane and Scholer, Falk (2023). Entropy-based query performance prediction for neural information retrieval systems. QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks, co-located with The 45th European Conference on Information Retrieval (ECIR), Dublin, Ireland, 2 - 6 April 2023. CEUR-WS. |
|
2022 Conference Publication Representative routes discovery from massive trajectoriesWang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane and Arablouei, Reza (2022). Representative routes discovery from massive trajectories. KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, United States, 14-18 August 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3534678.3539079 |
