Michael Zhu
According to our database1,
Michael Zhu
authored at least 24 papers
between 2010 and 2023.
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Bibliography
2023
IACR Cryptol. ePrint Arch., 2023
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
CoRR, 2023
2022
2020 U.S. presidential election in swing states: Gender differences in Twitter conversations.
Int. J. Inf. Manag. Data Insights, 2022
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Validating the effects of immersion and spatial audio using novel continuous biometric sensor measures for Virtual Reality.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022
Using Transformers and Deep Learning with Stance Detection to Forecast Cryptocurrency Price Movement.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
2021
CoRR, 2021
CoRR, 2021
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization.
CoRR, 2020
LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017
2015
Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2010
Packing Shelves with Items that Divide the Shelves' Length: a Case of a Universal Number Partition Problem.
Discret. Math. Algorithms Appl., 2010