Professor Tony Wirth

  • Room: Level: 09 Room: 9.20
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Algorithms (Algorithms for processing text; graph algorithms; streaming algorithms)
  • Data Mining and Machine Learning
  • Psychophysical Testing (Psychometric Function Estimation)

Personal webpage

http://people.eng.unimelb.edu.au/awirth

Biography

Dr Tony Wirth is Professor in the School of Computing and Information Systems at The University of Melbourne. 

He completed a BSc(Hons) and MSc at the University of Melbourne; supported by a Gordon Wu Fellowship, he completed an MA and PhD at Princeton University. Wirth has previously been the Seminar and Excellence Coordinator in the Department of Computer Science and Software Engineering. Wirth has a significant publication record in, amongst others, approximation and graph algorithms, bioinformatics, and data mining. He has refereed for numerous international journals and served on several conference program committees. Wirth's teaching has been commended both at the department and school level.

Recent publications

  1. Gleich, DF.; Veldt, N.; Wirth, A. Correlation clustering generalized. Leibniz International Proceedings in Informatics, LIPIcs. 2018, Vol. 123. DOI: 10.4230/LIPIcs.ISAAC.2018.44
  2. Liao, K.; Moffat, A.; Petri, M.; Wirth, A. A Cost Model for Long-Term Compressed Data Retention. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17. ASSOC COMPUTING MACHINERY. 2017, pp. 241-249. DOI: 10.1145/3018661.3018738
  3. Veldt, N.; Wirth, A.; Gleich, DF. Correlation clustering with low-rank matrices. Proceedings of the 26th International Conference on World Wide Web - WWW '17. International World Wide Web Conferences Steering Committee. 2017, pp. 1025-1034. DOI: 10.1145/3038912.3052586
  4. Fray, K.; Morgan, K.; Wirth, A.; Zobel, J. Practical adaptive search trees with performance bounds. Proceedings of the Australasian Computer Science Week Multiconference on - ACSW '17. ACM Press. 2017. DOI: 10.1145/3014812.3014836
  5. Mcclintock, J.; Mestre, J.; Wirth, A. Precedence-constrained min sum set cover. Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl. 2017, Vol. 92. DOI: 10.4230/LIPIcs.ISAAC.2017.55
  6. Liao, K.; Petri, M.; Moffat, A.; Wirth, A. Effective Construction of Relative Lempel-Ziv Dictionaries. Proceedings of the 25th International Conference on World Wide Web - WWW '16. ASSOC COMPUTING MACHINERY. 2016, pp. 806-815. DOI: 10.1145/2872427.2883042
  7. Mcclintock, J.; Wirth, A. Efficient Parallel Algorithms for k-Center Clustering. 2016 45th International Conference on Parallel Processing (ICPP). IEEE COMPUTER SOC. 2016, Vol. 2016-September, pp. 133-138. DOI: 10.1109/ICPP.2016.22
  8. Chakrabarti, A.; Wirth, A. Incidence Geometries and the Pass Complexity of Semi-Streaming Set Cover. Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms. SIAM. 2016, pp. 1365-1373. DOI: 10.1137/1.9781611974331.ch94
  9. Charikar, M.; Naamad, Y.; Wirth, A. On approximating target set selection. Leibniz International Proceedings in Informatics, LIPIcs. 2016, Vol. 60. DOI: 10.4230/LIPIcs.APPROX-RANDOM.2016.4
  10. Petri, M.; Moffat, A.; Nagesh, PC.; Wirth, A. Access Time Tradeoffs in Archive Compression. Proc. 11th Asian Information Retrieval Societies Conf.. SPRINGER INT PUBLISHING AG. 2015, Vol. 9460, pp. 15-28. DOI: 10.1007/978-3-319-28940-3_2
  11. Ahn, KJ.; Cormode, G.; Guha, S.; Mcgregor, A.; Wirth, A. Correlation clustering in data streams. 32nd International Conference on Machine Learning, ICML 2015. JMLR Workshop and Conference Proceedings. 2015, Vol. 3, pp. 2227-2236.
  12. Tong, J.; Wirth, A.; Zobel, J. Blended dictionaries for reduced-memory lempel-ziv corpus compression. Proceedings of the 2014 Australasian Document Computing Symposium on - ADCS '14. ACM Press. 2014, Vol. 27-28-November-2014, pp. 113-116. DOI: 10.1145/2682862.2682866
  13. Tong, J.; Wirth, A.; Zobel, J. Compact auxiliary dictionaries for incremental compression of large repositories. Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14. ACM Press. 2014, pp. 1629-1638. DOI: 10.1145/2661829.2661961
  14. Petri, M.; Moffat, A.; Wirth, A. Graph representations and applications of citation networks. Proceedings of the 2014 Australasian Document Computing Symposium on - ADCS '14. ACM. 2014, Vol. 27-28-November-2014, pp. 18-25. DOI: 10.1145/2682862.2682865
  15. Gog, S.; Moffat, A.; Culpepper, JS.; Turpin, A.; Wirth, AI. Large-Scale Pattern Search Using Reduced-Space On-Disk Suffix Arrays. IEEE Transactions on Knowledge and Data Engineering. IEEE COMPUTER SOC. 2014, Vol. 26, Issue 8, pp. 1918-1931. DOI: 10.1109/TKDE.2013.129
  16. Lim, C.; Moffat, A.; Wirth, AI. Lazy and Eager Approaches for the Set Cover Problem. Conferences in Research and Practice in Information Technology Series. Australian Computer Society. 2014, Vol. 147, pp. 19-27.
  17. Tong, J.; Wirth, AI.; Zobel, J. Principled Dictionary Pruning for Low-Memory Corpus Compression. Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14. ACM Press. 2014, pp. 283-292. DOI: 10.1145/2600428.2609576
  18. Molfetas, A.; Wirth, AI.; Zobel, J. Scalability in Recursively Stored Delta Compressed Collections of Files. Proceedings of the Second Australasian Web Conference. ACSA Press. 2014, Vol. 155.
  19. Molfetas, A.; Wirth, AI.; Zobel, J. Storing a Collection of Differentially Compressed Files Recursively. 2014 IEEE International Congress on Big Data. IEEE Press. 2014, pp. 88-95. DOI: 10.1109/BigData.Congress.2014.22
  20. Molfetas, A.; Wirth, AI.; Zobel, J. Using Inter-file Similarity to Improve Intra-file Compression. 2014 IEEE International Congress on Big Data. IEEE Press. 2014, pp. 192-199. DOI: 10.1109/BigData.Congress.2014.35

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile