Project opportunities

• For available projects, please refer to the following:
1. Graph Research Lab
2. Student Projects
• You may propose a project you're most interested in and also in my areas of expertise for your studies. If you intend to do this, please contact me for a discussion.

Current HDR Students

• Asiri Wijesinghe, PhD student
Research area: Network Representation Learning
• Ghodai Abdelrahman, PhD student
Research area: Knowledge Tracing
• Fangbing Liu, PhD student
Research area: Knowledge Graphs
• Muhammad Farhan Akhtar, PhD student
Research area: Shortest Path Distance Queries over Large-Scale Networks
• Masooma Iftikhar, PhD student
Research area: Privacy-preserving Query Mechanism
• Sean Li, PhD student
Research area: Graph Representation Learning (with Dongwoo Kim and Ke Sun)
• Gathika Ratnayaka, PhD student
Research area: Graph Matching

Previous HDR Students

• Jingyu Shao: Entity Resolution with Active Learning
• Ye Wang: Exploring Shortest Paths on Large-Scale Networks
• Miranda Zhang: Cloud Infrastructure Services Selection and Evaluation
• Jeffrey Fisher: Advanced Entity Resolution Techniques
• Mojtaba Rezvani: Community Detection over Large-Scale Networks

Previous Project Students

(not updated anymore)

• Nathan Elazar, Personalised Learning Recommendation System, Honours student, July 2017 - June 2018
• Yinshuo Bai, Pattern-Driven Feedback Generation for SQL Programming Problems, Postgraduate student, July 2017 - June 2018
• Xueqin Cui, Exploring Knowledge Graphs for Adaptive Learning, Postgraduate student, July 2017 - June 2018
• Novia Arum Sari, Entity Resolution in Complex Networks, Postgraduate student, July 2017 - June 2018
• Boyu Zhang, Spatial-temporal Evolution of Communities in Large Networks, Honours student, July 2017 - June 2018
• Quyen Bui-Nguyen, Dynamic Repairing of Record Linkage, Undergraduate student, Feburary 2018 - November 2018
• Hao Zhang, Community-based Labeling for Shortest Path Distance Queries on Large Networks, Undergraduate student, 2017
• Sirui Li, Iterative Graph Summarization based on Grouping, Undergraduate student, 2017
• Timothy Wicks, Inconsistent Data in a Dynamic World, ANU summer scholar, November 2016 - January 2017
• Qiongkai Xu, Collaborative Vertex Classification via Recursive Neural Network, Postgraduate student, 2016 - 2017
• Han Wang, Building a Hybrid Row-Column Database System, Honours student, 2016 - 2017
• Chong Feng, Repairing Data Linkage, Postgraduate student, 2016
• Xu Wang, Entity Provenance: Data Provenance Support in Entity Resolution, Postgraduate student, 2016
• Yan Xiao, Dynamic Network Analysis in Rogas, Google summer of code student, April-August, 2016
• Omid Rezvani, Local Community Detection Search Using a Conceptual View, Google summer of code student, April-August, 2016
• Chong Feng, Query Optimization in the RG Framework, Postgraduate student, 2016
• Minjian Liu. Building a Conceptual Framework for Network Analytics, postgraduate student, 2015
Minjian's Masters thesis
Rogas: A Declarative Framework for Network Analytics
M. Liu and Q. Wang
42nd International Conference on Very Large Data Bases (VLDB), 2016.
• Jingyi Gao. Provenance Analysis for Entity Resolution, Honours student, 2015
A Clustering-based Framework for Incrementally Repairing Entity Resolution
Q. Wang, J. Gao and P. Christen
20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016.
• Narayan Mani. Linking Households Data to Identify Households with Similar Hierarchies, Masters student, 2015
• Yiting Zhao. Temporal analysis of bibliographic databases --when are academics most productive?, Undergraduate student, 2014
• Mingyuan Cui. Towards a Scalable and Robust Entity resolution Framework -- Blocking under Relational Constraints, Masters student, 2014
  Semantic-Aware LSH Blocking for Entity Resolution
  Q. Wang, M. Cui and H. Liang
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.
• Haoran Du. Big Data Analysis -- A Case Study for Recommender Systems, Masters student, 2014
  LSH for Cosine Distance (code)
  Real-time Collaborative Filtering Recommender Systems
  H. Liang, H. Du and Q. Wang
  Proceedings of the 12nd Australasian Data Mining Conference (AusDM), published in Conferences in Research and Practice in Information Technology (CRPIT), 2014
  PDF | Slides
  
• Bingxin Li. Entity resolution over Graphs, Masters student, 2014
• Emily Sharpe. Association rule mining and active learning-based entity resolution, Honours student, 2013
• Zeyu Shen. Entity resolution in the presence of constraints, Masters student, 2013
  Entity Resolution with Weighted Constraints
  Z. Shen and Q. Wang
  Proceedings of the 18th East-European Conference on Advances in Databases and Information Systems (ADBIS), 2014.
  Abstract | PDF | Slides
  
• Jingwei Zhang. Real-time collective entity resolution, Masters student, 2013 (supervisor)
• Jeffrey Fisher. Entity resolution of authors and institutions in bibliographic databases, Masters student, 2013
  Data Cleaning and Matching of Institutions in Bibliographic Databases
  J. Fisher, Q. Wang, P. Wong and P. Christen
  Proceedings of the 11th Australasian Data Mining Conference (AusDM), published in Conferences in Research and Practice in Information Technology (CRPIT), 2013.
  PDF