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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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. |
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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 |
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2022 Conference Publication Can users predict relative query effectiveness?Zendel, Oleg, Ebrahim, Melika P., Culpepper, J. Shane, Moffat, Alistair and Scholer, Falk (2022). Can users predict relative query effectiveness?. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11-15 July 2022. New York, NY USA: Assocation for Computing Machinery. doi: 10.1145/3477495.3531893 |
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2022 Journal Article sMARE: a new paradigm to evaluate and understand query performance prediction methodsFaggioli, Guglielmo, Zendel, Oleg, Culpepper, J. Shane, Ferro, Nicola and Scholer, Falk (2022). sMARE: a new paradigm to evaluate and understand query performance prediction methods. Information Retrieval, 25 (2), 94-122. doi: 10.1007/s10791-022-09407-w |
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2021 Journal Article Let trajectories speak out the traffic bottlenecksLuo, Hui, Bao, Zhifeng, Cong, Gao, Culpepper, J. Shane and Khoa, Nguyen Lu Dang (2021). Let trajectories speak out the traffic bottlenecks. ACM Transactions on Intelligent Systems and Technology, 13 (1) 8. doi: 10.1145/3465058 |
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2021 Journal Article Topic difficulty: collection and query formulation effectsCulpepper, J. Shane, Faggioli, Guglielmo, Ferro, Nicola and Kurland, Oren (2021). Topic difficulty: collection and query formulation effects. ACM Transactions on Information Systems, 40 (1) 19, 1-36. doi: 10.1145/3470563 |
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2021 Journal Article Strong natural language query generationLiu, Binsheng, Lu, Xiaolu and Culpepper, J. Shane (2021). Strong natural language query generation. Information Retrieval Journal, 24 (4-5), 322-346. doi: 10.1007/s10791-021-09395-3 |
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2021 Journal Article Dynamic ridesharing in peak travel periodsLuo, Hui, Bao, Zhifeng, Choudhury, Farhana M. and Culpepper, J. Shane (2021). Dynamic ridesharing in peak travel periods. IEEE Transactions on Knowledge and Data Engineering, 33 (7) 8937731, 2888-2902. doi: 10.1109/tkde.2019.2961341 |
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2021 Conference Publication Different keystrokes for different folks: visualizing crowdworker querying behaviorBenham, Rodger, MacKenzie, Joel, Culpepper, J. Shane and Moffat, Alistair (2021). Different keystrokes for different folks: visualizing crowdworker querying behavior. CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, Canberra, ACT Australia, 14 - 19 March 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3406522.3446054 |
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2021 Journal Article A survey on trajectory data management, analytics, and learningWang, Sheng, Bao, Zhifeng, Culpepper, J. Shane and Cong, Gao (2021). A survey on trajectory data management, analytics, and learning. ACM Computing Surveys, 54 (2) 39, 1-36. doi: 10.1145/3440207 |
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2021 Conference Publication Generalizing discriminative retrieval models using generative tasksLiu, Binsheng, Zamani, Hamed, Lu, Xiaolu and Culpepper, J. Shane (2021). Generalizing discriminative retrieval models using generative tasks. 30th World Wide Web Conference (WWW), Virtual, 12-23 April 2021. New York, NY, United States: ACM. doi: 10.1145/3442381.3449863 |
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2021 Conference Publication Is query performance prediction with multiple query variations harder than topic performance prediction?Zendel, Oleg, Culpepper, J. Shane and Scholer, Falk (2021). Is query performance prediction with multiple query variations harder than topic performance prediction?. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual, 11-15 July 2021. New York, NY, United States: ACM. doi: 10.1145/3404835.3463039 |
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2021 Conference Publication An enhanced evaluation framework for query performance predictionFaggioli, Guglielmo, Zendel, Oleg, Culpepper, J. Shane, Ferro, Nicola and Scholer, Falk (2021). An enhanced evaluation framework for query performance prediction. 43rd European Conference on IR Research, ECIR 2021, Virtual, 28 March - 1 April 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-72113-8_8 |
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2021 Conference Publication Do hard topics exist? A statistical analysisCulpepper, J. Shane, Faggioli, Guglielmo, Ferro, Nicola and Kurland, Oren (2021). Do hard topics exist? A statistical analysis. IIR 2021: 11th Italian Information Retrieval Workshop 2021, Bari, Italy, 13-15 September 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen. |
