Shihao Ji
Orcid: 0000-0002-3573-5379Affiliations:
- University of Connecticut, Storrs, CT, USA
- Georgia State University, Atlanta, GA, USA
According to our database1,
Shihao Ji
authored at least 56 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., September, 2024
CoRR, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence.
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
IEEE Internet Things J., 2021
Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection.
CoRR, 2021
Proceedings of the 2021 IEEE SmartWorld, 2021
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Dep-L<sub>0</sub>: Improving L<sub>0</sub>-Based Network Sparsification via Dependency Modeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
A Unified Density-Driven Framework For Effective Data Denoising And Robust Abstention.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention.
CoRR, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
IEEE Trans. Parallel Distributed Syst., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 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
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2011
Inf. Retr., 2011
2010
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
IEEE Signal Process. Lett., 2008
2007
IEEE Trans. Signal Process., 2007
Proceedings of the Machine Learning, 2007
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
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004