Ramin Raziperchikolaei

Research Scientist Rakuten 800 Concar Dr San Mateo, CA 94402 Email: ramin.raziperchikola [at] rakuten.com

About

I am a research scientist at Rakuten Institute of Technology (RIT). I did my PhD in the EECS Department of UC Merced, under supervision of Prof. Paul Maglio and Prof. Harish Bhat. I received my MSc in Artificial Intelligence form Sharif Univeristy of Technology and my BSc in Computer Engineering from Iran University of Science and Technology.

My research is focused on machine learning and its applications in computer vision, image processing, time series, recommendation systems, etc.

CV:

Publications

Raziperchikolaei, R. and Liang, G. and Chung, Y. (2021): "Shared Neural Item Representations for Completely Cold Start Problem".
Proceedings of the 14th ACM Conference on Recommender Systems ( RecSys 2021, Acceptance Rate ~ 18%), to appear
Raziperchikolaei, R. and Li, T. and Chung, Y. (2021): "Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization".
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021, Acceptance Rate ~ 27%), July 2021
[external link] [paper preprint] [ slides] [poster] [Python code]
▸ Longer version: Oct. 12, 2020, arXiv:2010.06070 [cs.IR]. [external link] [paper preprint]
▸ Extended abstract at the Bay Area Machine Learning Symposium, Oct. 15, 2020 (BayLearn 2020) [external link] [paper preprint] [video]
Bhat, H. S. and Reeves, M. and Raziperchikolaei, R. (2020): "Estimating Vector Fields from Noisy Time Series".
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
[ paper preprint]
Raziperchikolaei, R. and Harish S. Bhat (2019): "A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation".
Thirty-sixth International Conference on Machine Learning (ICML 2019, Acceptance Rate ~ 22%), June 2019,
[ external link] [paper preprint] [Supplementary material][Python code]
Raziperchikolaei, R. and Carreira-Perpinan, M. A. (2017): "Learning circulant support vector machines for fast image search".
IEEE Int. Conf. Image Processing (ICIP 2017), Beijing, China, pp. 385-389.
[ external link] [paper preprint] [slides]
Raziperchikolaei, R. and Carreira-Perpinan, M. A. (2017): "Learning supervised binary hashing: Optimization vs Diversity".
IEEE Int. Conf. Image Processing (ICIP 2017), Beijing, China, pp. 3695-3699.
[ external link] [paper preprint] [poster]
▸ Short version at Workshop on Optimization for Machine Learning (NIPS 2017) : [external link] [paper preprint] [poster]
Raziperchikolaei, R. and Carreira-Perpinan, M. A. (2016): "Learning independent, diverse binary hash functions: pruning and locality".
17th IEEE Int. Conf. Data Mining (ICDM 2016, Acceptance Rate ~ 19%), pp. 117-1178.
[ external link ] [paper preprint] [slides] [Matlab code]
Raziperchikolaei, R. and Carreira-Perpinan, M. A. (2016): "Optimizing affinity-based binary hashing using auxiliary coordinates".
Advances in Neural Information Processing Systems 29 (NIPS 2016, Acceptance Rate ~ 21%), pp. 640-648.
[ external link] [paper preprint] [ supplementary material] [ spotlight video] [poster] [Matlab code]
▸ Longer version: Jan. 21, 2015, arXiv:1501.05352 [cs.LG]. [external link] [paper preprint]
▸ Short version at Workshop on Non-Convex Analysis and Optimization (ICML 2016) : [external link] [paper preprint] [poster]
▸ Extended abstract at the Bay Area Machine Learning Symposium, Oct. 6, 2016 (BayLearn 2016) [ external link] [paper preprint] [poster]
Carreira-Perpinan, M. A. and Raziperchikolaei, R. (2016): "An ensemble diversity approach to supervised binary hashing".
Advances in Neural Information Processing Systems 29 (NIPS 2016, Acceptance Rate ~ 21%), 757-765.
[ external link] [paper preprint] [ supplementary material] [ spotlight video] [poster] [Matlab code]
▸ Longer version: Feb. 04, 2016, arXiv:1602.01557 [cs.LG][external link] [paper preprint]
▸ Extended abstract at the Bay Area Machine Learning Symposium, Oct. 22, 2015 (BayLearn 2015) : "An Ensemble Diversity Approach to Binary Hashing." [ external link] [paper preprint] [slides]
Carreira-Perpinan, M. A. and Raziperchikolaei, R. (2015): "Hashing with Binary Autoencoders".
IEEE Conf. Computer Vision and Pattern Recognition (CVPR 2015, Acceptance rate ~ 28%), pp. 557-566.
[ external link] [paper preprint] [slides] [poster] [Matlab code]
▸ Longer version: Jan. 5, 2015, arXiv:1501.00756 [cs.LG]. [ external link] [paper preprint] [slides]
▸ Extended abstract at the Bay Area Machine Learning Symposium, Oct. 21, 2014 (BayLearn 2014) : "Hashing with binary autoencoders" [ external link] [paper preprint] [slides] [poster]
▸ Short version at Workshop on Optimization Methods for the Next Generation of Machine Learning (ICML 2016) : [external link] [paper preprint] [poster]
▸ Workshop paper at the 2015 INFORMS Workshop on Data Mining and Analytics : [external link] [paper preprint] [slides]
Raziperchikolaei, R. and Jamzad. M. (2012): "Visual Tracking using D2-Clustering and Particle Filter".
IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2012), pp. 230-125.
[ external link] [paper preprint]
Bagheri-Khaligh, A. and Raziperchikolaei, R. and Ebrahimi Moghaddam. M. (2012): "A new method for shot classification in soccer sports video based on SVM classifier,".
IEEE South West symposium on image analysis and interpretation (SSIAI 2012), pp. 109-112.
[ external link] [paper preprint]

EECS, UC Merced