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Hi there.                           
My name is waqas jadoon. Currently I'm a PhD scholar at Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu China. Beside doing research I like to explore new places, love nature, enjoys the company of friends and like to watch movies.

 

Biography:

Mr Jadoon is a PhD student at Department of Computer Science, Sichuan University Chengdu P.R.China, under supervision of Professor Zhang Yi since September 2011. Before joining Sichuan university he is a lecturer  at department of computer Science COMSATS Institute of IT Abbottabad Pakistan.  He completed his  Master of Engineering  degree in Computer Application Technology from Hunan University P.R.China in July 2009.

 


 

 

 

Machine Intelligence Lab, Department of Computer Science

Sichuan University Chengdu P.R.China

Room 320, Building of department of Computer Science and Technology, Wanjiang Campus.

 

You can reach me at:

Phone: +86-15208194776

Fax:

E-mail: waqas.jadoon@gmail.com

1-Jadoon Waqas, Zhang Yi, Zhang Lei, “Graph Based Features Extraction via Datum Adaptive Weighted Collaborative Representation for Face Recognition” Int. J. Patt. Recogn. Artif. Intell. DOI: 10.1142/S0218001414510033 ,10 February 2014.

2-Jadoon Waqas, Zhang Yi, Zhang Lei, “Collaborative Neighbor Representation based Classification using l2-minimization ApproachPattern Recognition Letters,Volume 34, Issue 2, 15 January 2013, Pages 201–208. [Access it.]

 

Journal Papers:

Conference papers:

· Waqas Jadoon, Haixian Zhang “Locality Features Encoding in Regularized Linear Representation Learning for Face RecognitionIEEE conf. Frontiers of Information Technology (FIT), 2013

· Waqas Jadoon, Le Ken Lee, "Fault Tolerant Quality Aware Resource Scheduling Strategy in Computational Economy Based Grid Framework," fitme, pp.233-237, 2008 International Seminar on Future Information Technology and Management Engineering, 2008.

Research Interests:

Publications:

Jadoon research interests includes Artificial Neural Networks, Cortical Computing, Sparse coding, Multi-layer representations.  Machine Learning, especially Multi-instance learning and Multi-label learning.