Research team
| Name | Level | Project title | Start Date | Role | Publication(s) |
|---|---|---|---|---|---|
Saqib Nawaz
|
Researcher | Biological data analysis / Proof searching / Pattern mining |
2022–… (associate researcher) 2019–2021 (postdoc) |
Supervisor |
Journals papers in Information Fusion (SCI, CAS Q1), BIOMAC (2) (SCI, CAS Q1), BDMA (SCI, CAS Q1), COMIND (SCI, CAS Q1), CIBM (SCI, JCR Q1) EEE Access (SCI), Applied Intelligence (SCI, Q1), Applied Soft Computing, Kybernetes, IEEE Access (SCI),…
and many others… |
M. Zohaib Nawaz
|
Ph.D. | Algorithms to discover patterns in sequences | 2022 | Supervisor |
1 journal paper in Information Fusion (SCI, CAS Q1, IF 14.8) 1 journal paper in BDMA (SCI, CAS Q1) 1 journal paper in Expert Systems (SCI) 1 journal paper in COMIND (SCI, CAS Q1) 1 journal paper submitted 1 conference paper in BIBM 2024 (CCF B) 1 workshop paper in PAKDD 2024 |
Yi Chen
|
M.Sc. | Algorithms for biological sequence analysis | 2023 | Supervisor | 1 journal paper submitted |
Enze Chen
|
M.Sc. | Heuristic data mining algorithms | 2023 | Supervisor | 1 journal paper in ASOC (JCR Q1, CAS Q2) |
Di Zhao
|
Ph.D. (New Zealand) | Data Stream Analysis with Drifts / Transfer learning for domain generalization | 2021–… | Co-supervisor (University of Auckland) |
1 conference paper in ICLR 2026 (CCF-A) 1 conference paper in IJCAI 2025 (CCF-A) 1 conference paper in AAAI 2024 (CCF-A) 1 conference paper in IJCNN 2022 1 submitted conference paper |
Former students/researchers
| Name | Level | Project title / Topics | End Date | Role | Publication(s) |
|---|---|---|---|---|---|
|
Rodrigue Govan
|
Ph.D. (New Caledonia) | Analysis of dynamic graphs from satellite images | 2025 | Co-supervisor (University of New Caledonia) |
5 conference papers: EGC 2025, CNIA 2025, DAWAK 2025 (EI), DEXA 2023 (EI, CCF-C), CNIA 2023 1 journal paper in PLOS NTDs |
Oualid Ouarem
|
Ph.D. (Algeria) | Discovering episode patterns and rules in sequences | 2024 | Co-supervisor |
1 conference paper in IEA AIE 2021 (EI) 1 journal paper in Wiley DMKD (SCI) 1 journal paper in Applied Intelligence (SCI) 1 journal paper in preparation |
|
Mira Lefkir
|
Ph.D. (Algeria) | Discovering patterns in uncertain data | 2024 | Co-supervisor |
1 journal paper in Applied Intelligence (SCI) 1 conference paper in PAIS 2023 1 journal paper under review |
Jiawei Huang
|
M.Sc. | Graph learning for biological data | 2024 | Supervisor | — |
Yuechun Li
|
M.Sc. | Algorithms to analyze time-interval sequence data | 2024 | Supervisor |
1 conference paper in BDA 2022 (EI) 1 journal paper submitted |
Hongyang Yang
|
M.Sc. | High utility itemset mining | 2024 | Supervisor (student from industry) | (industrial project) |
Min Wei
|
M.Sc. | Machine learning for software engineering | 2024 | Supervisor (student from industry) | (industrial project) |
|
Haowei Zhu
|
B.Sc. | Sequential pattern mining based approach for genome analysis and classification | 2024 | Supervisor | (undergraduate project) |
Mourad Nouioua
|
Post-doc | Pattern mining algorithms | 2021 | Supervisor |
1 book chapter 3 workshop papers at ICDM, DASFAA… 1 journal paper in APIN (SCI, Q2) 1 conference paper as co-author in ICDE (CCF-A) 1 journal paper as co-author in Wiley DMKD (SCI) |
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 in Information Science (SCI, CCF-B) 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 workshop (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) 1 conference paper in DAWAK 2020 (EI) 1 workshop paper in AIOPS 2020 1 chapter in Springer book |
Chao Cheng
|
M.Sc. |
Algorithms for mining trend sequences in dynamic graphs
Keywords: frequent subgraph mining, trend sequences
|
2019 | Supervisor |
1 journal paper in KBS (SCI, Q1, CCF-C) 2 conference papers: DAWAK 2019 (EI), BDA 2019 (EI) 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): DKE (Q2, CCF-B), AEEE, KBS (Q1, CCF-C) 3 conference papers: IEA AIE 2020 (EI), IEA AIE 2019 (EI) Best paper award ADMA 2019 (EI) |
Jiaxuan Li
|
M.Sc. | Algorithms for Discovering Cost-Efficient Patterns | 2019 | Supervisor |
1 journal paper in KBS (SCI, Q1, CCF-C) 1 conference paper in DAWAK 2019 (EI) 1 workshop paper in UDM 2018 at KDD 2018 1 journal paper as co-author in WIRES DMKD (EI, SCI, JCR Q2) 1 journal paper as co-author in IEEE Access (EI, SCI) |
Zhitian Li
|
M.Sc. | Algorithms for Discovering Periodic Patterns in Multiple Sequences | 2018 | Supervisor |
1 conference paper in DAWAK 2018 (EI) 1 journal paper in Information Sciences (SCI, Q1, CCF-B) |
Yimin Zhang
|
M.Sc. | Algorithms for Discovering Local and Peak High Utility Patterns | 2018 | Supervisor |
2 journal papers (SCI): Logic Journal of the IGPL, Information Science (Q1, CCF-B) 2 conference papers (EI): DEXA 2018 (CCF-C), ADMA 2018 |
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: WICON 2017, IWCMC 2018 |
Jean-Marc Pokou
|
M.Sc. |
Algorithms for Automatic Authorship Attribution
Keywords: authorship attribution, skip-grams, sequential patterns
|
2016 | Supervisor |
3 conference papers: FLAIRS-29, ICAART 2016, AIAI 2016 (EI) 📄 Thesis |
Ted Gueniche
|
M.Sc. |
Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction
Keywords: sequence prediction
|
2015 | Co-Supervisor |
5 conference papers (EI): — PAKDD 2015 (acceptance rate: 6%) — EGC 2015 (nominated for best paper award) — ISMIS 2014 (200+ citations) — ADMA 2013 (acceptance rate: 14%) — ADMA 2012 (acceptance rate: 19%) 1 journal paper (SCI): JMLR (Q1, CCF-A) 📄 Thesis |
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): MLDM 2015 (nominated for best paper award), MICAI 2015 1 journal paper: KAIS (SCI, Q2) 📄 Thesis |
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): AI 2015 (acceptance rate: 18%), KI 2015, MICAI 2015 1 journal paper: JIIS (SCI, Q4) 📄 Thesis |
|
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: AOW2012, ICTAI 2013 1 book chapter 📄 Thesis |
|
Esperance Mwamikazi
|
M.Sc. |
Automatic Assessment of Learning Styles
Keywords: dynamic questionnaires, learning styles
|
2015 | Co-supervisor |
2 conference papers (EI): AIAI 2014, IEA AIE 2014 📄 Thesis |
Totally, I have (co)-supervised 25 graduate 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)
International 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 equipped with high-end GPUs.
