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Jonathan Shihao Ji

Associate Professor    
Education

B.S., Electrical Engineering, Xidian University, China, 1998
M.S., Electrical Engineering, Xidian University, China, 2001
Ph.D., Electrical and Computer Engineering, Duke University, 2006

Specializations

Machine learning, deep learning, high-performance computing

Biography

I received my Ph.D. in Electrical and Computer Engineering from Duke University. I was then a research associate at Duke for about a year. Prior to joining GSU, I spent about 10 years in industry research labs.

My principal research interests lie in the area of machine learning and deep learning with an emphasis on high-performance computing. I’m interested in developing efficient algorithms that can learn from a variety of data sources (e.g., image, audio, and text) on a large scale and automate decision-making processes in dynamic environments.

Publications

S. Ji, S. V. N. Vishwanathan, N. Satish, M. Anderson, and P. Dubey, Blackout: speeding up recurrent neural network language models with very large vocabularies, International Conference on Learning Representations (ICLR Oral, acceptance rate 6%), May, 2016.

S. Ji, N. Satish, S. Li, and P. Dubey, Parallelizing Word2Vec in multi-core and many-core architectures, NIPS Workshop on Efficient Methods for Deep Neural Networks, December, 2016.

S. Ji, H. Yun, P. Yanardag, S. Matsushima, and S. V. N. Vishwanathan, WordRank: learning word embeddings via robust ranking, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 658–668.

O. Chapelle, S. Ji, C. Liao, E. Velipasaoglu, L. Lai, and S.-L. Wu, Intent-based diversification of web search results: metrics and algorithms, Information Retrieval Journal, vol. 14, no. 6, 2011, pp. 572–592.

S. Ji, K. Zhou, C. Liao, Z. Zheng, G.-R. Xue, O. Chapelle, G. Sun, and H. Zha, Global ranking by exploiting user clicks, Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’09), 2009, pp. 35–42.

S. Ji, D. Dunson, and L. Carin, Multi-task compressive sensing, IEEE Transactions on Signal Processing, vol. 57, no. 1, 2009, pp. 92–106.

S. Ji, Y. Xue, and L. Carin, Bayesian compressive sensing, IEEE Transactions on Signal Processing, vol. 56, no. 6, 2008, pp. 2346–2356.

S. Ji, R. Parr, H. Li, X. Liao, and L. Carin, Point-based policy iteration, Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI ’07), 2007, pp. 1243–1249.

S. Ji and L. Carin, Bayesian compressive sensing and projection optimization, Proceedings of the 24th International Conference on Machine Learning (ICML ’07), 2007, pp. 377–384.

S. Ji and L. Carin, Cost-sensitive feature acquisition and classification, Pattern Recognition, vol. 40, no. 5, 2007, pp. 1474–1485.

S. Ji, R. Parr, and L. Carin, Non-myopic multi-aspect sensing with partially observable Markov decision processes, IEEE Transactions on Signal Processing, vol. 55, no. 6, 2007, pp. 2720–2730.

S. Ji, B. Krishnapuram, and L. Carin, Variational Bayes for continuous hidden Markov models and its application to active learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 28, no. 4, 2006, pp. 522–532.