[University Webpage]
[Google Scholar]
[ORCID]
[DBLP]
[GitHub]
|
Harry Kai-Ho Chan
- Lecturer (Assistant Professor) in Data Science
Information School, The University of Sheffield
- Deputy Programme Coordinator MSc Data Science
- Department Employability Lead (Data Science)
Email: |
h.k.chan@sheffield.ac.uk |
Office: |
C229 |
Address: |
The Wave, The University of Sheffield
2 Whitham Road, Sheffield, S10 2AH, United Kingdom
|
|
Biography
I joined the Information School at the University of Sheffield in September 2022. Prior to that, I was a Postdoc researcher in the Department of People and Technology at Roskilde University (RUC) in Denmark,
where I worked on the research project Data Management for Indoor LBS led by Prof. Hua Lu.
In 2019, I obtained my PhD degree in Computer Science and Engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong, under the supervision of Prof. Raymond Chi-Wing Wong.
In Fall 2019, I worked as a Visiting Lecturer at The Hong Kong Community College (HKCC), The Hong Kong Polytechnic University (PolyU). From Apr 2019 to Jul 2019, I was a visiting PhD student at the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore, hosted by Prof. Cheng Long.
Research Interests
My research interests include data mining and analytics, data science, and data visualisation. My work focuses on various types of data, such as spatial data and temporal data. I worked on the problems in the following areas: (1) query processing on spatio-textual data, (2) spatial data mining, and (3) indoor location-based services (LBS). Recently, I have also been working on (4) applying machine learning models in databases to improve the query quality and efficiency of spatial data, and (5) enhancing data visualisation approaches for machine learning models.
-
Query Processing (published in TKDE23, ICDE22, ICDE19, TKDE18, SSTD17)
-
Data Mining (published in TKDE24, ICDE19)
-
Indoor Location-based Services (published in ICDE23, TKDE23, VLDB22, SSTD19)
Opening: I am currently looking for PhD students interested in machine learning and data mining research. If you're interested in working with me, your're welcome to contact me via email. Include your research proposal, CV and transcripts for all degrees.
Funded Project
- Understanding visualisation approaches for non-technical users engaging with predictive models. Regional Innovation Support Programme (RISP), University of Sheffield, Apr 2024.
Conference papers:
-
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan,
"Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract)",
In The 40th IEEE International Conference on Data Engineering (ICDE),
2024.
(pdf)
-
Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, and Christian S. Jensen,
"Data Imputation for Sparse Radio Maps in Indoor Positioning",
In The 39th IEEE International Conference on Data Engineering (ICDE), page 2226-2239, 2023.
(pdf)
(extended version)
(code)
-
Harry Kai-Ho Chan, Huan Li, Xiao Li, and Hua Lu,
"Continuous Social Distance Monitoring in Indoor Space",
In The 48th International Conference on Very Large Data Bases (VLDB), Vol. 15, No.7, pages 1390-1402, 2022.
(pdf)
(slides)
(code)
-
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, and Raymond Chi-Wing Wong,
"Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract)",
In The 38th IEEE International Conference on Data Engineering (ICDE),
2022.
(pdf)
-
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu,
"Time-Constrained Indoor Keyword-aware Routing",
In The 17th International Symposium on Spatial and Temporal Databases (SSTD), pages 74-84, 2021.
(Selected as one of the best paper candidates)
(pdf)
(slides)
(code)
(video)
-
Harry Kai-Ho Chan, Cheng Long, Da Yan, and Raymond Chi-Wing Wong,
"Fraction-Score: A New Support Measure for Co-location Pattern Mining",
In The 35th IEEE International Conference on Data Engineering (ICDE), pages 1514–1525, 2019
(pdf)
(slides)
(code)
-
Harry Kai-Ho Chan, Cheng Long, and Raymond Chi-Wing Wong,
"On Generalizing Collective Spatial Keyword Queries (Extended Abstract)",
In The 35th IEEE International Conference on Data Engineering (ICDE), pages 2115–2116, 2019
(pdf)
-
Harry Kai-Ho Chan, Cheng Long, and Raymond Chi-Wing Wong,
"Inherent-Cost Aware Collective Spatial Keyword Queries",
In The 15th International Symposium on Spatial and Temporal Databases (SSTD), pages 357–375, 2017
(pdf)
(slides)
(code)
Journal papers:
-
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, and Hua Lu,
"Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-location Pattern Mining",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 4, pages 1582-1596, April 2024
(pdf)
(code)
-
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan,
"Contact Tracing over Uncertain Indoor Positioning Data",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, No. 10, pages 10324-10338, October 2023
(pdf)
(extended version)
(code)
-
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu,
"Time-Constrained Indoor Keyword-aware Routing: Foundations and Extensions",
In GeoInformatica (Special Issue of SSTD21 Best Papers), Vol. 27, pages 375-426, April 2023
(pdf)
(code)
-
Huan Li, Tiantian Liu, Harry Kai-Ho Chan, and Hua Lu,
"Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty",
In Frontiers in Big Data, Rising Stars in Data Mining and Management 2022
(pdf)
-
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, and Raymond Chi-Wing Wong,
"Cost-Aware and Distance-Constrained Collective Spatial Keyword Query",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, No. 2, pages 1324-1336, February 2023
(pdf)
(appendix)
(code)
-
Harry Kai-Ho Chan, Cheng Long, and Raymond Chi-Wing Wong,
"On Generalizing Collective Spatial Keyword Queries",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 30, No. 9, pages 1712-1726, September 2018
(pdf)
(appendix)
(code)
The code could also be found on GitHub:
https://github.com/harryckh
Teaching
The University of Sheffield:
- INF114 - Communicating Data : Spring 2025 (module coordinator), Spring 2024 (module coordinator)
- INF217 - Databases and Beyond : Autumn 2024
- INF4000 - Data Visualisation : Autumn 2024, Autumn 2023 (module coordinator), Autumn 2022
- INF4001 - Information Visualisation for Decision-Making : Spring 2024, Spring 2023
- INF6050 - Database Design : Spring 2023
HKCC, PolyU:
- SEHH1031 - Information Technology for Languages Studies: Fall 2019
HKUST (Teaching Assistant):
- COMP1942 - Exploring and Visualizing Data: Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014
- COMP2711 - Discrete Mathematical Tools for Computer Science: Fall 2016, Fall 2013
- COMP5331 - Knowledge Discovery in Databases: Fall 2017
Academic Services
Conference Session Chair:
- ICDE 2024: Spatial Databases and Temporal Databases I
- ICDE 2023: Session 7: Virtual Demo
- SSTD 2021: Demo Track
Conference/Workshop Program Committee Member:
- VLDB 2025
- ICDE 2025, 2024, 2023 (demo track), 2022 (demo track)
- KDD 2025, 2024, 2023
- ACM CIKM 2024 (full paper track, short paper track), 2023, 2022, 2021
- ACM SIGSPATIAL 2024, 2023
- SDM 2024
- ECML-PKDD 2024, 2023
- PAKDD 2024, 2023, 2022
- IEEE BigData 2024, 2023, 2022
- MDM 2024 (Industry and application track)
- SSTD 2021
- APWeb-WAIM 2024, 2023, 2022
- DSAA 2024, 2023
- ADMA 2022
- ALIAS (The 3rd IEEE Intl. Workshop on ALgorithms for Indoor Architectures and Systems, collocated with MDM) 2023
Journal Referee:
- International Journal on Very Large Data Bases (VLDBJ)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- Journal of Distributed and Parallel Databases (DAPD)
- IEEE Access
- Information Systems
- GeoInformatica
- Knowledge and Information Systems (KAIS)
- Springer Data Science and Engineering Journal (DSEJ)
- ACM Transactions on Spatial Algorithms and Systems (TSAS)
- Web Intelligence (WI)
- Knowledge-Based Systems
Awards
- Best Paper Candidate in SSTD 2021, Aug 2021
- Research Travel Grant in ICDE 2019, HKUST, Apr 2019
- Student Travel Grant, ICDE 2019, Mar 2019
- Overseas Research Award, HKUST, Feb 2019
- Li Po Chun Charitable Trust Fund Scholarships, Aug 2018
- Research Travel Grant in SSTD 2017, HKUST, Oct 2017
- Hong Kong ICT Awards 2017, Office of the Government Chief Information Officer
- Best Student Invention Grand Award
- Best Student Invention (Tertiary or Above) Gold Award
- Postgraduate Studentship, HKUST, 2013-2019
- Professor Samuel Chanson Best Teaching Assistant Award, HKUST, 2014
- Academic Achievement Award for Graduating Students, CSE, HKUST, 2013
- Dean's List, HKUST, 2011-2013 (Four out of six semesters)
- HKMA Information Technology Management Club Scholarship, 2012
- Hong Kong and Kowloon Electrical Appliances Merchants Association Scholarship, 2012
Talks
- IJC PGR Symposium 2024, University of Sheffield
Theme: Bridging Theory and Practice: Innovation in Information and Journalism in Digital Age
Topic: Towards Accurate Indoor Positioning Through Missing Data Imputation
Date: 30th Oct, 2024
- DIREC Seminar 2021, Digital Research Centre Denmark
Workshop: WS3 – Advanced and Efficient Big Data Management and Analysis
Topic: Time-Constrained Indoor Keyword-aware Routing
Date: 13th Sep, 2021
- Guest lecturer in GEODESIGN course, Roskilde University
Topic: Spatial Data and Databases
Date: 18th Feb, 2021
- Research Seminar, Roskilde University
Topic: Co-location Pattern Mining
Date: 17th Feb, 2021
- Guest speaker in ENGG1010 seminar, HKUST
Theme: How engineers decide their major
Topic: Sharing on Computer Science and Engineering
Date: 13th Mar, 2019
Updated on Nov 2024