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https://sites.google.com/site/phamninh/

Other IDs

Scopus Author ID: 36158489500

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Employment (4)

University of Auckland: Auckland, NZ

2022-01 to present | Senior Lecturer (Computer Science)
Employment
Source: Self-asserted source
Ninh Pham

University of Auckland: Auckland, NZ

2018-12 to 2021-12 | Lecturer (Computer Science)
Employment
Source: Self-asserted source
Ninh Pham

Københavns Universitet Datalogisk Institut: Kobenhavn, DK

2016-09 to 2018-11 | Postdoc
Employment
Source: Self-asserted source
Ninh Pham

IT-Universitet i København: Kobenhavn, DK

2014-09 to 2016-08 | Postdoc
Employment
Source: Self-asserted source
Ninh Pham

Education and qualifications (1)

IT-Universitet i København: Kobenhavn, DK

2011-08 to 2014-07 | PhD
Education
Source: Self-asserted source
Ninh Pham

Funding (1)

Federated Nearest Neighbour Search: Theory and Practice

2023 to 2026 | Contract
Marsden Fund (Wellington, NZ)
PROPOSAL_ID:

MFP-22-UOA-182

GRANT_NUMBER:

MFP-UOA2226
Source: check_circle
Royal Society Te Apārangi

Works (19)

On Deploying Mobile Deep Learning to Segment COVID-19 PCR Test Tube Images

Image and Video Technology
2024 | Conference paper
DOI: 10.1007/978-981-97-0376-0_30
Part of ISBN: 9789819703753
Part of ISBN: 9789819703760
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Ting Xiang; Richard Dean; Jiawei Zhao; Ninh Pham
Source: Self-asserted source
Ninh Pham

A Transductive Forest for Anomaly Detection with Few Labels

Machine Learning and Knowledge Discovery in Databases: Research Track
2023 | Conference paper | Author
DOI: 10.1007/978-3-031-43412-9_17
Part of ISBN: 9783031434112
Part of ISBN: 9783031434129
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Jingrui Zhang; Ninh Pham; Gillian Dobbie
Source: Self-asserted source
Ninh Pham
grade
Preferred source (of 2)‎

Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search

NeurIPS
2022 | Conference paper
URI:

http://papers.nips.cc/paper\_files/paper/2022/hash/ca2963d1cfb25e93362e86fb427a9524-Abstract-Conference.html
Contributors: Ninh Pham and Tao Liu
Source: Self-asserted source
Ninh Pham

Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search

Machine Learning and Knowledge Discovery in Databases
2021 | Conference paper | Author
DOI: 10.1007/978-3-030-67658-2_25
Part of ISBN: 9783030676575
Part of ISBN: 9783030676582
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Stephan S. Lorenzen; Ninh Pham
Source: Self-asserted source
Ninh Pham
grade
Preferred source (of 2)‎

Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract)

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
2021-08 | Conference paper
DOI: 10.24963/ijcai.2021/652
Contributors: Stephan S. Lorenzen; Ninh Pham
Source: Self-asserted source
Ninh Pham

Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
2021-08-14 | Conference paper
DOI: 10.1145/3447548.3467345
Contributors: Ninh Pham
Source: Self-asserted source
Ninh Pham

L1-depth revisited: A robust angle-based outlier factor in high-dimensional space

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | Book
DOI: 10.1007/978-3-030-10925-7_7
EID:

2-s2.0-85061153578
Contributors: Pham, N.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

DABAI: A data driven project for e-Learning in Denmark

Proceedings of the European Conference on e-Learning, ECEL
2017 | Conference paper
EID:

2-s2.0-85037543232
Contributors: Alstrup, S.; Hansen, C.; Hansen, C.; Hjuler, N.; Lorenzen, S.; Pham, N.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

Hybrid LSH: Faster near neighbors reporting in high-dimensional space

Advances in Database Technology - EDBT
2017 | Conference paper
DOI: 10.5441/002/edbt.2017.43
EID:

2-s2.0-85041506865
Contributors: Pham, N.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

I/O-Efficient Similarity Join

Algorithmica
2017 | Journal article
DOI: 10.1007/s00453-017-0285-5
EID:

2-s2.0-85011691773
Contributors: Pagh, R.; Pham, N.; Silvestri, F.; Stöckel, M.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

On predicting student performance using low-rank matrix factorization techniques

Proceedings of the European Conference on e-Learning, ECEL
2017 | Conference paper
EID:

2-s2.0-85037533014
Contributors: Lorenzen, S.; Pham, N.; Alstrup, S.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

Scalability and total recall with fast covering LSH

International Conference on Information and Knowledge Management, Proceedings
2016 | Conference paper
DOI: 10.1145/2983323.2983742
EID:

2-s2.0-84996588149
Contributors: Pham, N.; Pagh, R.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

I/O-efficient similarity join

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | Book
DOI: 10.1007/978-3-662-48350-3_78
EID:

2-s2.0-84945584495
Contributors: Pagh, R.; Pham, N.; Silvestri, F.; St�ckel, M.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

Efficient estimation for high similarities using odd sketches

WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web
2014 | Conference paper
DOI: 10.1145/2566486.2568017
EID:

2-s2.0-84909632662
Contributors: Mitzenmacher, M.; Pagh, R.; Pham, N.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

Fast and scalable polynomial kernels via explicit feature maps

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2013 | Conference paper
DOI: 10.1145/2487575.2487591
EID:

2-s2.0-85023199520
Contributors: Pham, N.; Pagh, R.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2012 | Conference paper
DOI: 10.1145/2339530.2339669
EID:

2-s2.0-84866011202
Contributors: Pham, N.; Pagh, R.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

Online discovery of top-k similar motifs in time series data

Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011
2011 | Conference paper
EID:

2-s2.0-84880120928
Contributors: Lam, H.T.; Pham, N.D.; Calders, T.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

HOT aSAX: A novel adaptive symbolic representation for time series discords discovery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | Book
DOI: 10.1007/978-3-642-12145-6_12
EID:

2-s2.0-77956986275
Contributors: Pham, N.D.; Le, Q.L.; Dang, T.K.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

Two novel adaptive symbolic representations for similarity search in time series databases

Advances in Web Technologies and Applications - Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010
2010 | Conference paper
DOI: 10.1109/APWeb.2010.23
EID:

2-s2.0-77954256329
Contributors: Pham, N.D.; Le, Q.L.; Dang, T.K.
Source: Self-asserted source
Ninh Pham via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for Data science and engineering. (1)
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