Hui Luo

I am currently a Lecturer in the School of Computing and Information Technology at University of Wollongong since July 2023. Prior to that, I was an ARC research fellow at School of Computing Technologies from RMIT University under the surpervison of Prof. Zhifeng Bao since September 2022. My research interests include data science and data mining.

Education

Publications

• Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao. Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. In International World Wide Web Conference (WWW), 2023. (Full paper, CORE A*)

• Daomin Ji, Hui Luo, Zhifeng Bao. Visualization Recommendation Through Visual Relation Learning and Visual Preference Learning. In IEEE International Conference on Data Engineering (ICDE), 2023. (Full paper, CORE A*)

• Hui Luo, Jessica Bhardwaj, Suelynn Choy, and Yuriy Kuleshov. Applying machine learning for threshold selection in drought early warning system. Climate, 10(7): 97, 2022.

• David Alexander Tedjopurnomo, Zhifeng Bao, Farhana Choudhury, Hui Luo, and A. K. Qin. Equitable public bus network optimization for social good: a case study of Singapore. In ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022.

• Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J.Shane Culpepper, Haochao Ying, Hao Liu, and Hui Xiong. Spatial object recommendation with hints: When spatial granularity matters. In International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pages 781-790, 2020. (Full paper, CORE A*). [Paper][Slide][Video]

• Bo Dong, Shi Ying, Lin Li, Hui Luo, and Zhe Yang. Impact Analysis About Response Time Considering Deployment Change of SaaS Software. In International Conference on Software Engineering and Knowledge Engineering (SEKE), pages 977-1004, 2020. (Full paper, CORE B)

• Hui Luo, Farhana M. Choudhury, Zhifeng Bao, J. Shane Culpepper, and Bang Zhang. MaxBRkNN Queries for Streaming Geo-Data. Maxbrknn queries for streaming geo-data. In International Conference on Database Systems for Advanced Applications (DASFAA), pages 647-664, 2018. (Full paper, CORE B) [Paper][Slide]

• Tingting Wang, Hui Luo, Zhifeng Bao, and Lei Duan: Dynamic Ridesharing with Minimal Regret: Towards an Enhanced Engagement Among Three Stakeholders. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022: 1-14. (CORE A*)

• Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, and Nguyen Lu Dang Khoa. Let trajectories speak out the traffic bottlenecks. ACM Transactions on Intelligent Systems and Technology (TIST), 2021. (SJR Q1) [Paper]

• Hui Luo, Zhifeng Bao, Farhana Choudhury, and J. Shane Culpepper. Dynamic ridesharing in peak travel periods. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019: 2888-2902. (CORE A*) [Paper]

• Guangyu Zhang, Shi Ying, Xiangyang Jia, Hui Luo. A Method to Orchestrate both RESTful Service and SOAP Service Driven by Metadata. Application Research of Computers, 2018, 35(03):777-781.
• Hui Luo, Shi Ying, Lin Li, Bo Dong. Software Deployment Description Language for Performance Optimization. Computer Engineering, 2017, 43(06):11-18.

• Shi Ying, Bo Dong, Weidong Wen, Min Peng, Xiangyang Jia, Xu Chen, Min Luo, Hui Luo, Ting Zhang, and Yong Wang. Establishment method of SaaS software deployment scheme supporting performance analysis. Chinese Patent, 105159736A.

Awards

• Best PC Award of CIKM, 2022
• Research Achievement Award for outstanding research performance in the academic year of RMIT, 2020
• PhD Stipend and Top-up Scholarship of Data61 CSIRO, 2017-2021
• 2^nd Scholarship of WHU, 2016
• 2^nd Scholarship of WHU, 2015
• Third Prize Award of the National Graduate Contest on Smart City Technology and Creative Design, 2015
• Outstanding Undergraduate of Hebei Province Ordinary University, 2014
• Excellent Undergraduate of NCEPU, 2014
• Alumni Scholarship of NCEPU, 2013
• 2^nd Scholarship of NCEPU, 2013
• Third Prize Award in the National College Students English Competition, 2013
• 1^st Scholarship of NCEPU, 2012

Professional Services

• Conference Program Committee
  • – AAAI 2023: AAAI Conference on Artificial Intelligence (CORE A*)
  • – SIGKDD 2022: Special Interest Group on Knowledge Discovery in Data (CORE A*)
  • – SIGIR 2022: International ACM SIGIR Conference on Research and Development in Information Retrieval (CORE A*)
  • – WSDM 2022: ACM International Conference on Web Search and Data Mining (CORE A*)
  • – CIKM 2021: ACM International Conference on Information and Knowledge Management (CORE A)
  • – ER 2021 since 2020: International Conference on Conceptual Modeling (CORE A)
  • – APWeb-WAIM 2021: International Joint Conference on Web and Big Data

• Journal Reviewer
  • – TKDE: IEEE Transactions on Knowledge and Data Engineering (CORE A*)

• Subreviewer
  • – SIGMOD 2022: ACM SIGMOD International Conference on Management of Data (CORE A*)
  • – SIGKDD since 2020: Special Interest Group on Knowledge Discovery in Data (CORE A*)
  • – VLDB since 2019: International Conference on Very Large Data Bases (CORE A*)
  • – SIGIR since 2019: International ACM SIGIR Conference on Research and Development in Information Retrieval (CORE A*)
  • – ICDE since 2018: IEEE International Conference on Data Engineering (CORE A*)

Skills

• English - Fluent
• Mandarin - Native speaker