Call For Papers
The 7th Asian Conference on Machine Learning (ACML2015) will be held in Hong Kong on November 20-22, 2015. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progresses and achievements. Submissions from regions other than the Asia-Pacific are highly encouraged.
The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning.
The proceedings will be published as a volume of Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings series.
For questions and suggestions on paper submission, please write to acml2015hk@gmail.com
Important Dates
| Workshop Proposal Deadline: | May 11, 2015 at 23:59pm Pacific Time |
| Tutorial Proposal Deadline: | May 11, 2015 at 23:59pm Pacific Time |
| Early Submission Deadline: | May 11, 2015 at 23:59pm Pacific Time |
| Early Notification Date: | June 22, 2015 |
| Final Submission Deadline: | August 3, 2015 at 23:59pm Pacific Time |
| Final Notification Date: | September 21, 2015 |
| Camera Ready Deadline: | October 5, 2015 |
| Conference Dates: | November 20-22, 2015 |
Topics of Interest
Topics of interest include but are not limited to:
- Learning problems
- Active learning
- Bayesian machine learning
- Deep learning, latent variable models
- Dimensionality reduction
- Feature selection
- Graphical models Learning for big data
- Learning in graphs
- Multiple instance learning
- Multi-objective learning
- Multi-task learning
- Semi-supervised learning
- Sparse learning
- Structured output learning
- Supervised learning
- Online learning
- Transfer learning
- Unsupervised learning
- Analysis of learning systems
- Computational learning theory
- Experimental evaluation
- Knowledge refinement
- Reproducible research
- Statistical learning theory
- Applications
- Bioinformatics
- Biomedical information
- Collaborative filtering
- Healthcare
- Computer vision
- Human activity recognition
- Information retrieval
- Natural language processing
- Social networks
- Web search
- Learning in knowledge-intensive systems
- Knowledge refinement and theory revision
- Multi-strategy learning
- Other systems
Organizing Committee
General Co-Chairs
- Irwin King, The Chinese University of Hong Kong, Hong Kong
- Hang Li, Huawei Noah’s Ark Lab, Hong Kong
Program Co-Chairs
- Geoffrey Holmes, Waikato University, New Zealand
- Tie-Yan Liu, Microsoft Research Asia, China
Local Arrangements Co-Chairs
- Raymond Wong, Hong Kong University of Science and Technology, Hong Kong
- Haiqin Yang, The Chinese University of Hong Kong, Hong Kong
Workshop Co-Chairs
- Zhengdong Lu, Huawei Noah’s Ark Lab, Hong Kong
- Zenglin Xu, University of Electronic Science and Technology of China, China
Tutorial Co-Chairs
- Yiu-Ming Cheung, Hong Kong Baptist University
- Chi-Sing Leung, City University of Hong Kong, Hong Kong
Publication Co-Chairs
- Kaizhu Huang, Xi’an Jiaotong-Liverpool University, China
- Paul Pang, Unitec Institut of Technology, New Zealand
Steering Committee
- Wray Buntine, National ICT Australia, Australia
- Tom Dietterich, Oregon State University, USA
- Tu Bao Ho, Co-chair, Japan Advanced Institute of Science and Technology, Japan
- Wee Sun Lee, National University of Singapore, Singapore
- Chih-Jen Lin, National Taiwan University, Taiwan
- Bernhard Pfahringer, Waikato University, New Zealand
- Masashi Sugiyama, Tokyo Institute of Technology, Japan
- Takashi Washio, Osaka University, Japan
- Geoff Webb, Monash University, Australia
- Qiang Yang, Hong Kong University of Science and Technology, Hong Kong
- Zhi-Hua Zhou, Chair, Nanjing University, China
Senior Program Committee
- Wray Buntine, Monash University, Australia
- Kevin Duh, NAIST, Japan
- Stephen Gould, NICTA/Australian National University, Australia
- Steven Hoi, NTU Singapore, Singapore
- Hisashi Kashima, Kyoto University, Japan
- Kristian Kersting, Technical University of Dortmund, Germany
- Kee-Eung Kim, KAIST, South Korea
- James Kwok, Hong Kong University of Science and Technology, Hong Kong
- Hoai An Le Thi, University of Metz, France
- Yuh-Jye Lee, NTUST Taiwan, Taiwan
- Ping Li, Rutgers University, USA
- Hsuan-Tien Lin, National Taiwan University, Taiwan
- Shoude Lin, National Taiwan University, Taiwan
- Zhengdong Lu, Huawei Technologies, Hong Kong
- Michael Lyu, Chinese University of Hong Kong, Hong Kong
- Alice Oh, KAIST, South Korea
- Bernhard Pfahringer, University of Waikato, New Zealand
- Dinh Phung, Deakin University, Australia
- Tao Qin, Microsoft Research Asia, China
- Volker Roth, University of Basel, Switzerland
- Shirish Shevade, Indian Institute of Science, India
- Masashi Sugiyama, Tokyo Institute of Technology, Japan
- Dat Tran, University of Canberra, Australia
- Truyen Tran, Deakin University, Australia
- Liwei Wang, Peking University, China
- Jun Xu, Chinese Academy of Sciences, China
- Jieping Ye, Arizona State University, USA
- Hwanjo Yu, POSTECH, South Korea
- Junping Zhang, Fudan University, China
- Min-Ling Zhang, Southeast University, China