Shihao Ji
According to our database1,
Shihao Ji
authored at least 31 papers
between 2004 and 2019.
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Bibliography
2019
Parallelizing Word2Vec in Shared and Distributed Memory.
IEEE Trans. Parallel Distrib. Syst., 2019
Learning with Multiplicative Perturbations.
CoRR, 2019
Sparse Graph Attention Networks.
CoRR, 2019
Neural Image Compression and Explanation.
CoRR, 2019
Neural Plasticity Networks.
CoRR, 2019
L0-ARM: Network Sparsification via Stochastic Binary Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Toward Filament Segmentation Using Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2016
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies.
Proceedings of the 4th International Conference on Learning Representations, 2016
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures.
CoRR, 2016
WordRank: Learning Word Embeddings via Robust Ranking.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2011
Intent-based diversification of web search results: metrics and algorithms.
Inf. Retr., 2011
2010
User behavior driven ranking without editorial judgments.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2009
Multitask Compressive Sensing.
IEEE Trans. Signal Process., 2009
Semisupervised Learning of Hidden Markov Models via a Homotopy Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2009
Comparing both relevance and robustness in selection of web ranking functions.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Global ranking by exploiting user clicks.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Empirical Exploitation of Click Data for Task Specific Ranking.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
Incorporating robustness into web ranking evaluation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Bayesian Compressive Sensing.
IEEE Trans. Signal Process., 2008
Multitask Classification by Learning the Task Relevance.
IEEE Signal Process. Lett., 2008
2007
Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes.
IEEE Trans. Signal Process., 2007
Adaptive Multimodality Sensing of Landmines.
IEEE Trans. Geosci. Remote. Sens., 2007
Cost-sensitive feature acquisition and classification.
Pattern Recognit., 2007
Bayesian compressive sensing and projection optimization.
Proceedings of the Machine Learning, 2007
Point-Based Policy Iteration.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2006
Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2004
Adaptive multi-aspect target classification and detection with hidden Markov models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004