Wei Liu


2023

dblp
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022

2022

doi dblp
Applied Machine Learning Methods for Time Series Forecasting
Linsey Pang | Wei Liu | Lingfei Wu | Kexin Xie | Stephen Guo | Raghav Chalapathy | Musen Wen
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
Deep Learning for Search and Recommendation
Wei Liu | Kexin Xie | Linsey Pang | James Bailey | Longbing Cao | Yuxi Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2019

doi dblp
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance
Ali Braytee | Wei Liu | Ali Anaissi | Paul J. Kennedy
2019 Volume 10 Issue 5

2018

doi dblp
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization
Yongshun Gong | Zhibin Li | Jian Zhang | Wei Liu | Yu Zheng | Christina Kirsch
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2017

doi dblp
Multi-Label Feature Selection using Correlation Information
Ali Braytee | Wei Liu | Daniel R. Catchpoole | Paul J. Kennedy
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

2016

doi dblp
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients
Ali Braytee | Daniel R. Catchpoole | Paul J. Kennedy | Wei Liu
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

doi dblp
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data
Prasad Cheema | Nguyen Lu Dang Khoa | Mehrisadat Makki Alamdari | Wei Liu | Yang Wang | Fang Chen | Peter Runcie
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

2014

doi dblp
Using Local Information to Significantly Improve Classification Performance
Wei Liu | Dong Lee | Rao Kotagiri
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014

2013

doi dblp
Discrimination aware classification for imbalanced datasets
Goce Ristanoski | Wei Liu | James Bailey
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

doi dblp
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation
Jeffrey Chan | Wei Liu | Andrey Kan | Christopher Leckie | James Bailey | Kotagiri Ramamohanarao
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

2012

doi dblp
On compressing weighted time-evolving graphs
Wei Liu | Andrey Kan | Jeffrey Chan | James Bailey | Christopher Leckie | Jian Pei | Kotagiri Ramamohanarao
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

doi dblp
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs
Wei Liu | Jeffrey Chan | James Bailey | Christopher Leckie | Kotagiri Ramamohanarao
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012