Michael Zhu

According to our database1, Michael Zhu authored at least 24 papers between 2010 and 2023.

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Bibliography

2023
Cicada: A framework for private non-interactive on-chain auctions and voting.
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
2020 U.S. Presidential Election: Analysis of Female and Male Users on Twitter.
CoRR, 2021

COVID-19 Vaccine and Social Media: Exploring Emotions and Discussions on Twitter.
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

Towards Differentiable Resampling.
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

Variance Reduction and Quasi-Newton for Particle-Based Variational Inference.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Sample Adaptive MCMC.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Learning topic models - provably and efficiently.
Commun. ACM, 2018

To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Group Additive Structure Identification for Kernel Nonparametric Regression.
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

Large-Scale Camera Network Topology Estimation by Lighting Variation.
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

A Hybrid Approach for Probabilistic Inference using Random Projections.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Camera Network Topology Estimation by Lighting Variation.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2013
A Practical Algorithm for Topic Modeling with Provable Guarantees.
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


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