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Professor Shane Culpepper
Professor

Shane Culpepper

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Overview

Background

Shane Culpepper is a Professor of Artificial Intelligence at the University of Queensland in St. Lucia, Australia. Before joining the University of Queensland in 2023, Professor Culpepper held a continuing academic position at RMIT University in Melbourne, Australia. He received his PhD in Computer Science from the University of Melbourne in 2008. His research focuses primarily on building better Search and Recommendation Systems and is primarily interested how to responsibly integrate efficient and scalable generative AI models for search, recommendation, and question answering. Professor Culpepper’s work has applications in a number of downstream applications for Legal, Health, real estate speculation. He has been instrumental in founding the AI Research Network and the Research Center for Enterprise AI at the University of Queensland.

Over his 17 year career, Professor Culpepper has supervised 19 PhD students and co-authored more than 140 peer reviewed papers with 132 different research collaborators on problems that range from core basic research, such as algorithm efficiency and scalability, to practical real world problems on building and deploying new machine learning algorithms for search and recommendation systems. While often technical, his work is always user-driven as humans are the main consumers of this technology. This user-centric research focus has led to several papers on controlled user studies which guide the development of better evaluation techniques which model human behaviour. In the last 5 years, Professor Culpepper has been a program co-chair for international conferences such as SIGIR and CIKM, and co-organized conferences such as WSDM and SWIRL. Professor Culpepper previously held an ARC DECRA fellowship in 2013 as well as an RMIT Vice-Chancellor's Principal Researcher fellowship in 2017. Before joining the University of Queensland. Professor Culpepper was the founding director of the Centre for Information Discovery and Data Analytics at RMIT University. In total, he has been a chief investigator on 11 research grants totalling ~$3.8 Million AUD.

Availability

Professor Shane Culpepper is:
Available for supervision
Media expert

Qualifications

  • Doctor of Philosophy of Computer Science, University of Melbourne
  • Member, Association for Computing Machinery, Association for Computing Machinery
  • Honorary Fellow, RMIT University, RMIT University

Works

Search Professor Shane Culpepper’s works on UQ eSpace

134 works between 1995 and 2026

81 - 100 of 134 works

2017

Conference Publication

Answering top-k exemplar trajectory queries

Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Sellis, Timos, Sanderson, Mark and Qin, Xiaolin (2017). Answering top-k exemplar trajectory queries. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, United States, 19-22 April 2017. Piscataway, NJ United States: IEEE. doi: 10.1109/icde.2017.114

Answering top-k exemplar trajectory queries

2017

Conference Publication

Personalized influential topic search via social network summarization

Li, Jianxin, Liu, Chengfei, Yu, Jeffrey Xu, Chen, Yi, Sellis, Timos and Culpepper, J. Shane (2017). Personalized influential topic search via social network summarization. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, United States, 19-22 April 2017. Piscataway, NJ United States: IEEE. doi: 10.1109/icde.2017.15

Personalized influential topic search via social network summarization

2017

Conference Publication

A comparison of document-at-a-time and score-at-a-time query evaluation

Crane, Matt, Culpepper, J. Shane, Lin, Jimmy, Mackenzie, Joel and Trotman, Andrew (2017). A comparison of document-at-a-time and score-at-a-time query evaluation. 10th ACM International Conference on Web Search and Data Mining (WSDM), Cambridge, United Kingdom, 6-10 February 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3018661.3018726

A comparison of document-at-a-time and score-at-a-time query evaluation

2017

Conference Publication

Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval

Chen, Ruey-Cheng, Gallagher, Luke, Blanco, Roi and Culpepper, J. Shane (2017). Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval. 40th International ACM SIGIR conference on research and development in Information Retrieval, Shinjuku, Japan, 7-11 August 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3077136.3080819

Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval

2017

Conference Publication

Gauging the Quality of Relevance Assessments using Inter-Rater Agreement

Damessie, Tadele T., Nghiem, Thao P., Scholer, Falk and Culpepper, J. Shane (2017). Gauging the Quality of Relevance Assessments using Inter-Rater Agreement. 40th International ACM SIGIR conference on research and development in Information Retrieval, Shinjuku, Japan, 7-11 August 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3077136.3080729

Gauging the Quality of Relevance Assessments using Inter-Rater Agreement

2017

Conference Publication

Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?

Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2017). Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?. 40th International ACM SIGIR conference on research and development in Information Retrieval, Shinjuku, Japan, 7-11 August 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3077136.3080793

Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?

2016

Conference Publication

Interactive trip planning using activity trajectories

Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Sellis, Timos, Sanderson, Mark and Yadamjav, Munkh-Erdene (2016). Interactive trip planning using activity trajectories. 21st Australasian Document Computing Symposium, ADCS 2016, Caulfield, VIC Australia, 6 - 7 December 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3015022.3015030

Interactive trip planning using activity trajectories

2016

Conference Publication

Dynamic cutoff prediction in multi-stage retrieval systems

Culpepper, J. Shane, Clarke, Charles L. A. and Lin, Jimmy (2016). Dynamic cutoff prediction in multi-stage retrieval systems. 21st Australasian Document Computing Symposium, ADCS 2016, Caulfield, VIC Australia, 5 - 7 December 2016. New York, NY, United States: ACM. doi: 10.1145/3015022.3015026

Dynamic cutoff prediction in multi-stage retrieval systems

2016

Conference Publication

The influence of topic difficulty, relevance level, and document ordering on relevance judging

Damessie, Tadele T., Scholer, Falk and Culpepper, J. Shane (2016). The influence of topic difficulty, relevance level, and document ordering on relevance judging. ADCS '16: 21st Australasian Document Computing Symposium, Caulfield, VIC Australia, 5 - 7 December 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3015022.3015033

The influence of topic difficulty, relevance level, and document ordering on relevance judging

2016

Conference Publication

Modeling relevance as a function of retrieval rank

Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2016). Modeling relevance as a function of retrieval rank. 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, 30 November - 2 December 2016. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-48051-0_1

Modeling relevance as a function of retrieval rank

2016

Conference Publication

Spatial textual top-k search in mobile peer-to-peer networks

Nghiem, Thao P., Ma, Cong, Culpepper, J. Shane and Sellis, Timos (2016). Spatial textual top-k search in mobile peer-to-peer networks. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, NSW Australia, 28-29 September 2016. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-46922-5_6

Spatial textual top-k search in mobile peer-to-peer networks

2016

Conference Publication

The effect of document order and topic difficulty on assessor agreement

Damessie, Tadele T., Järvelin, Kalervo, Scholer, Falk and Culpepper, J. Shane (2016). The effect of document order and topic difficulty on assessor agreement. Association for Computing Machinery, Inc. doi: 10.1145/2970398.2970431

The effect of document order and topic difficulty on assessor agreement

2016

Conference Publication

Efficient and effective higher order proximity modeling

Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2016). Efficient and effective higher order proximity modeling. 2016 ACM International Conference on the Theory of Information Retrieval, Newark, NJ United States, 12 - 16 September 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2970398.2970404

Efficient and effective higher order proximity modeling

2016

Conference Publication

Maximizing bichromatic reverse spatial and textual k nearest neighbor queries

Choudhury, Farhana M., Culpepper, J. Shane, Sellis, Timos and Cao, Xin (2016). Maximizing bichromatic reverse spatial and textual k nearest neighbor queries. 42nd International Conference on Very Large Data Bases, New Delhi, India, 9 September 2016. New York, NY United States: Association for Computing Machinery. doi: 10.14778/2904121.2904122

Maximizing bichromatic reverse spatial and textual k nearest neighbor queries

2016

Journal Article

Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments

Clarke, Charles L. A., Culpepper, J. Shane and Moffat, Alistair (2016). Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments. Information Retrieval Journal, 19 (4), 351-377. doi: 10.1007/s10791-016-9279-1

Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments

2016

Journal Article

The effect of pooling and evaluation depth on IR metrics

Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2016). The effect of pooling and evaluation depth on IR metrics. Information Retrieval Journal, 19 (4), 416-445. doi: 10.1007/s10791-016-9282-6

The effect of pooling and evaluation depth on IR metrics

2016

Conference Publication

Load-balancing in distributed selective search

Kim, Yubin, Callan, Jamie, Culpepper, J. Shane and Moffat, Alistair (2016). Load-balancing in distributed selective search. SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval, Pisa, Italy, 17 - 21 July 2016. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2911451.2914689

Load-balancing in distributed selective search

2016

Journal Article

Personalized Influential Topic Search via Social Network Summarization

Li, Jianxin, Liu, Chengfei, Yu, Jeffrey Xu, Chen, Yi, Sellis, Timos and Culpepper, J. Shane (2016). Personalized Influential Topic Search via Social Network Summarization. IEEE Transactions on Knowledge and Data Engineering, 28 (7) 7434634, 1820-1834. doi: 10.1109/TKDE.2016.2542804

Personalized Influential Topic Search via Social Network Summarization

2016

Conference Publication

Does selective search benefit from WAND optimization?

Kim, Yubin, Callan, Jamie, Culpepper, J. Shane and Moffat, Alistair (2016). Does selective search benefit from WAND optimization?. 38th European Conference on IR Research, ECIR 2016, Padua, Italy, 20-23 March 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-30671-1_11

Does selective search benefit from WAND optimization?

2016

Conference Publication

RMIT at the TREC 2016 LiveQA Track

Mackenzie, Joel, Chen, Ruey-Cheng and Culpepper, J. Shane (2016). RMIT at the TREC 2016 LiveQA Track. 25th Text REtrieval Conference, TREC 2016, Gaithersburg, MD United States, 15 November 2016. Gaithersburg, MD United States: National Institute of Standards and Technology.

RMIT at the TREC 2016 LiveQA Track

Funding

Current funding

  • 2024 - 2027
    Scaling Disk-Resident Learned Indexes for Database Systems
    ARC Discovery Projects
    Open grant
  • 2024 - 2026
    Scaling Disk-Resident Learned Indexes For Database Systems (ARC Discovery Project Administered by RMIT)
    Royal Melbourne Institute of Technology University
    Open grant

Past funding

  • 2023 - 2026
    Advancing Analytical Query Processing with Urban Trajectory Data
    ARC Discovery Projects
    Open grant
  • 2023 - 2025
    Advancing Analytical Query Processing with Urban Trajectory Data (ARC Discovery Project Administered by RMIT)
    Royal Melbourne Institute of Technology University
    Open grant

Supervision

Availability

Professor Shane Culpepper is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • Large Language Models for Search and Recommendation

    Large Language Models such as ChatGPT offer enormous promise to users completing everyday tasks. However, these models confidently provide misinformation which can be very convincing. This project aims to explore new techniques to improve the effectiveness of LLMs.

Supervision history

Current supervision

  • Doctor Philosophy

    Using Large Language Models and Knowledge Graphs to Improve Search and Recommendation

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Using Large Language Models to Improve Search andRecommendation

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Using Large Language Models to Improve Search andRecommendation

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Efficient Next-Generation Information Retrieval Systems

    Associate Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Enhancing Effectiveness and Interpretability of Autonomous Agents for Complex Data Science Workflows Through Structured Domain Knowledge Integration

    Associate Advisor

    Other advisors: Dr Tingting Wang, Professor Zhifeng Bao

  • Doctor Philosophy

    Compressed indexes for scalable genomic pattern matching and retrieval

    Associate Advisor

    Other advisors: Dr Joel Mackenzie

Media

Enquiries

Contact Professor Shane Culpepper directly for media enquiries about:

  • Generative AI
  • Large Language Models
  • Search and Recommendation

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au