Research team
Current students/researchers
| Name | Level | Project title | Start Date | Role | Publication(s) |
|---|---|---|---|---|---|
|
Saqib Nawaz |
Associate researcher |
Biological data analysis / Proof searching / Pattern mining |
2022 - ... 2019 - 2021 (postdoc) |
Supervisor |
1 journal papers as first author in IEEE Access (SCI) 1 journal paper in Applied Soft Computing 1 journal paper as co-author in Kybernetes 1 conference paper as co-author in ACM SAC 2020 (EI) 1 conference paper in ACIIDS 2021 (EI) 1 conference paper in ICSI 2021 (EI) 2 papers in PKDD workshops |
M. Zohaib Nawaz
|
Ph.D. | Biological structure analysis | 2022 | Supervisor | |
|
Jiawei Huang |
M.Sc. | Graph learning for biological data | 2021 | Supervisor | |
|
Yuechun Li |
M.Sc. | Sequence analysis | 2021 | Supervisor | |
|
Yang Hongyang |
M.Sc. | Cryptography | 2021 | Supervisor | |
|
Min Wei |
M.Sc. | Machine learning for software engineering | 2021 | Supervisor | |
|
O. Ouarem |
Ph.D. (Algeria) |
Discovering patterns in sequences | 2019-... | Co-supervisor | 1 conference paper in IEA AIE 2021 (EI) 1 journal paper submitted |
|
M. Lefkir. |
Ph.D. (Algeria) |
Discovering patterns in uncertain data | 2019-... | Co-supervisor | 1 journal paper in Applied Intelligence (SCI) |
|
Rodrigue Govan |
Ph.D. (New Caledonia) |
Analysis of dynamic graphs from satellite images | 2021- ... |
Co-supervisor
|
|
|
Di Zhao |
Ph.D. (New Zealand) |
Data Stream Analysis with Drifts | 2021-... | Co-supervisor (University of Auckland) |
1 conference paper in IJCNN 2022 |
|
I. Doukoure |
Ph.D. (Canada) |
Data mining techniques to extract expertise for intergenerational knowledge transfer | 2015 -... | Co-Supervisor (U. of Quebec in Montreal) |
... |
Former students/researchers
| Name | Level | Project title / Topics | End Date | Role | Publication(s) |
|---|---|---|---|---|---|
|
|
Post-doc | Pattern mining | 2021 | Supervisor |
1 book chapter ... |
|
Yangming Chen |
M.Sc. | Algorithms for episode rule discovery with applications to sequence prediction | 2021 | Supervisor |
1 conference paper - ACIIDS 2021 - EI (best paper award) 1 conference paper - DAWAK 2021 - EI 1 workshop paper in ICDM Workshop (EI) |
|
Jiahong Liu |
M.Sc. | Algorithms to discover representative patterns in dynamic attributed graphs | 2021 | Supervisor |
1 conference paper in ICDE 2022 (EI, CCF-A) 1 journal paper submitted 1 workshop paper at NeurIPS 2021 Excellent thesis award (top 5% at Harbin Inst. of Techn.) |
|
Yanjun Yang |
M.Sc. |
Algorithms for mining trending patterns
Keywords: itemsets, episodes, pattern mining, temporal patterns, trends
|
2020 | Supervisor |
1 conference paper in PAKDD 2020 (EI, CCF: C) 1 conference paper in IEA AIE 2020 (EI) |
|
Ying Wang |
M.Sc. |
Algorithms for high utility pattern mining
Keywords: itemset mining, pattern mining, taxonomy, cross-level patterns, |
2020 | Supervisor |
1 conference paper in IEA AIE 2020 (EI) 1 journal paper in Applied Intelligence （SCI JCR:Q2) 1 workshop paper in ICDM workshops proceeding (EI) |
|
Ganghuan He |
M.Sc. | Algorithms for analyzing dynamic
attributed graphs Keywords: dynamic attributed graphs, pattern mining, graph mining |
2020 | Supervisor |
1 survey journal paper in Wiley WIRES DMKD
(EI, SCI, JCR: Q2) |
|
Chao Cheng |
M.Sc. |
Algorithms for mining trend sequences in dynamic graphs
Keywords: frequent subgraph mining, trend sequences |
2019 | Supervisor |
1 journal paper (SCI) in KBS (Q1, CCF-C) 2 conference papers 1 journal paper as co-author in WIRES DMKD (EI, SCI, JCR: Q2)
|
|
Peng Yang |
M.Sc. |
Algorithms for Mining Periodic Patterns
Keywords: stable periodic patterns, high utility episodes |
2019 | Supervisor |
3 journal papers (SCI)
3 conference papers accepted: - IEA AIE 2020 (EI) |
|
Jiaxuan Li |
M.Sc. |
Algorithms for Discovering Cost-Efficient Patterns
Keywords: low-cost high utility patterns, cost-efficient patterns |
2019 | Supervisor |
1 journal paper in KBS (SCI, Q1, CCF-C) 1 conference paper (EI) in DAWAK 2019 1 workshop paper in UDM 2018 at KDD 2018 1 journal paper as co-author in WIRES DMKD
(EI, SCI, JCR: Q2) |
|
Zhitian Li |
M.Sc. |
Algorithms for Discovering Periodic Patterns in Multiple Sequences
|
2018 | Supervisor |
1 conference paper (EI) in DAWAK 2018 1 journal paper in Information Sciences
(SCI, Q1, CCF-B) |
|
Yimin Zhang |
M.Sc. |
Algorithms for Discovering Local and Peak High utility patterns
Keywords: local high utility patterns, peak high utility patterns |
2018 | Supervisor |
2 journal paper accepted (SCI): 2 conference papers (EI):
|
|
Xiang Li |
M.Sc. | Interactive Mining of Statistically
Significant Itemsets Keywords: productive itemsets, itemset-tree |
2018 | Supervisor | 1 paper in IEEE Access (SCI) 1 paper in IEA AIE 2018 (EI) |
|
Kevin De Souza |
M.Sc. |
Intelligent Algorithms for Sensor Networks
Keywords: sensor network, electricity consumption |
2018 | Co-supervisor |
2 conference papers:
|
|
Jean-Marc Pokou |
M.Sc. |
Algorithms for Automatic Authorship Attribution
Keywords: Authorship attribution, Skip-grams, Sequential patterns |
2016 | Supervisor |
|
|
Ted Gueniche |
M.Sc. |
Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction
Keywords: sequence
prediction |
2015 | Co-Supervisor |
5 conference papers (EI): 1 journal paper (SCI): |
|
Souleymane Zida |
M.Sc. |
Algorithm for the discovery of high-utility itemsets and rules
Keywords: high utility itemset mining |
2015 | Supervisor |
2 conference papers (EI): 1 journal paper (SCI): |
|
Yapan Raissa Dougnon |
M.Sc. |
Algorithms for the discovery of information about social network users
Keywords: social network, inferring user profile on social networks |
2015 | Supervisor |
3 conference papers (EI): |
|
Eric Snow |
M.Sc. |
Assessing Procedural Knowledge in Free-text Answers through a Hybrid Semantic Web Approach
Keywords: Free-text answer evaluation |
2015 | Co-supervisor |
2 conference papers: 1 book chapter |
|
Esperance Mwamikazi |
M.Sc. |
Automatic Assessment of Learning Styles
Keywords: dynamic questionnaires, learning styles |
2015 | Co-supervisor |
2 conference papers (EI): |
Totally, I have (co)-supervised 18 master degree students.
Many graduate students from my team have found jobs in top technology companies after their studies, such as:
- ByteDance (5),
- Huawei (2),
- Amazon (1),
- Google (1),
- Pingduoduo (1)
Collaborators
My team is collaborating with high-level researchers from all over the world. A partial overview of some past/present collaborations is given below:
Facilities
My research team utilizes state-of-the-art research facilities and equipment, including numerous servers equiped with high-end GPUs.
