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ICONIP 2017 Call for Tutorials and Workshops

The 24th International Conference on Neural Information Processing (ICONIP 2017) invites proposals for half- or full-day tutorials/workshops which offer participants in-depth discussions of specific topics in neural networks. ICONIP 2017 will have a special focus on the emerging and growing areas of neural networks such as the deep learning and brain-inspired research. The tutorial/workshop organizers should be scientists or professionals with significant expertise in their fields. The topics of the proposed tutorials/workshops should include new findings and/or current research trends that will drive the neural network field forward in the near future. The format of each tutorial/workshop is up to the organizer. Tutorial/workshop organizers are encouraged to prepare various materials including handouts or electronic resources that can be made available for distribution before or after the workshops.

Researchers interested in organizing tutorials/workshops at ICONIP 2017 are invited to submit a formal proposal including the following information as a single PDF file to Professor Long Cheng (long.cheng@ia.ac.cn) with a copy to iconip2017@foxmail.com:

- Tutorial/Workshop title;

- Tutorial/Workshop duration: Half day (3 hours) or full day (6 hours);

- Organizers and their short bio;

- Brief description of the tutorial/workshop topic;

- Confirmed and/or potential speakers;

- Link to organizer's web page and/or tutorial/workshop web site (optional).

All proposals should be submitted by August 1, 2017. Early proposals are highly encouraged. Please contact the tutorial/workshop chairs for questions.





Tutorial and Workshop Chairs

	Long Cheng Chinese Academy of Sciences, China
	Kaizhu Huang Xi’an Jiaotong-Liverpool University, China
	Amir Hussain University of Stirling, UK
	James Kwok Hong Kong University of Science and Technology, China
	Huajin Tang Sichuan University, China





List of accepted tutorials





Time	Title	Organizers	Contact	Affiliations
Nov.14 8:30--12:00	Information theoretic learning in pattern classification	Baogang Hu	hubg@nlpr.ia.ac.cn	National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
Nov.14 8:30--12:00	Automatic determination of multi-layer perception neural net structure with pseudoinverse learning algorithm	Ping Guo	pguo@bnu.edu.cn	School of Systems Sciences, Beijing Normal University, Beijing, China
Nov.14 14:00--17:30	Tensor networks and neural networks	Zonglin Xu	zenglin@gmail.com	Statistical Machine Intelligence & LEarning (SMILE) Lab, University of Electronic Science & Technology (UESTC), Chengdu, Sichuan, China
Nov.14 14:00--17:30	Spiking neural networks and deep learning of temporal and spatio-temporal data	Nikola Kasabov	nkasabov@aut.ac.nz	Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, New Zealand
Nov.14 14:00--17:30	Signal Processing and Machine Learning for Brain-Computer Interfaces	Dongrui Wu	drwu@hust.edu.cn	School of Automation, Huazhong University of Science and Technology, Wuhan, China
		Zhaohong Deng	dzh666828@aliyun.com	School of Digital Media, Jiangnan University, Wuxi, China
		Kup-Sze Choi	kschoi@ieee.org	School of Nursing, Hong Kong Polytechnic University, Hong Kong, China





List of accepted workshops





ID	Title	Organizers	Contact	Affiliations
1	Data mining and cybersecurity workshop (afternoons of Nov. 15 and Nov. 16) Website:http://www.csmining.org/cdmc2017/	Kaizhu Huang, Paul Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Geong Sen Poh, Iqbal Gondal	Kaizhu.huang@xjtlu.edu.cn; ppang@unitec.ac.nz; bantao@nict.go.jp	Xi’an Jiaotong-Liverpool University; Institute of Technology, New Zealand; Institute of Information and Communications Technology (NICT), Japan

• Paper Submission Deadline
  June 15, 2017
  June 30, 2017
  
• Notification of Acceptance
  July 31, 2017
  
• Final Paper Submission
  August 20, 2017
  
• Congress Date
  November 14–18, 2017