Michael Zhu

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 22

Top Topics

Natural Language Processing

Hierarchical Structures

Regression Analysis

Top Venues

Publications

Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. CoRR (2023)
Noemi Glaeser, István András Seres, Michael Zhu, Joseph Bonneau
Cicada: A framework for private non-interactive on-chain auctions and voting. IACR Cryptol. ePrint Arch. 2023 (2023)
Zhaoxin Luo, Michael Zhu
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing. LREC (2022)
Zhaoxin Luo, Michael Zhu
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing. CoRR (2022)
Amir Karami, Spring B. Clark, Anderson Mackenzie, Dorathea Lee, Michael Zhu, Hannah R. Boyajieff, Bailey Goldschmidt
2020 U.S. presidential election in swing states: Gender differences in Twitter conversations. Int. J. Inf. Manag. Data Insights 2 (2) (2022)
Yeonwoo Son, Soham Vohra, Rohit Vakkalagadda, Michael Zhu, Aadvait Hirde, Saurav Kumar, Arjun Rajaram
Using Transformers and Deep Learning with Stance Detection to Forecast Cryptocurrency Price Movement. ICTC (2022)
Richard Warp, Michael Zhu, Ivana Kiprijanovska, Jonathan Wiesler, Scot Stafford, Ifigeneia Mavridou
Validating the effects of immersion and spatial audio using novel continuous biometric sensor measures for Virtual Reality. ISMAR Adjunct (2022)
Zhaoxin Luo, Michael Zhu
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. CoRR (2021)
Amir Karami, Michael Zhu, Bailey Goldschmidt, Hannah R. Boyajieff, Mahdi M. Najafabadi
COVID-19 Vaccine and Social Media: Exploring Emotions and Discussions on Twitter. CoRR (2021)
Amir Karami, Spring B. Clark, Anderson Mackenzie, Dorathea Lee, Michael Zhu, Hannah R. Boyajieff, Bailey Goldschmidt
2020 U.S. Presidential Election: Analysis of Female and Male Users on Twitter. CoRR (2021)
Zhaoxin Luo, Michael Zhu
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. IJCNN (2021)
Michael Zhu, Chang Liu, Jun Zhu
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference. ICML (2020)
Timothy Reese, Michael Zhu
LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification. ICMLA (2020)
Yang Yang, Ke Deng, Michael Zhu
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization. CoRR (2020)
Michael Zhu, Kevin Murphy, Rico Jonschkowski
Towards Differentiable Resampling. CoRR (2020)
Michael Zhu
Sample Adaptive MCMC. NeurIPS (2019)
Sanjeev Arora, Rong Ge, Yoni Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu
Learning topic models - provably and efficiently. Commun. ACM 61 (4) (2018)
Michael Zhu, Suyog Gupta
To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression. ICLR (Workshop) (2018)
Chao Pan, Michael Zhu
Group Additive Structure Identification for Kernel Nonparametric Regression. NIPS (2017)
Michael Zhu, Anthony R. Dick, Anton van den Hengel
Large-Scale Camera Network Topology Estimation by Lighting Variation. ACIVS (2017)
Michael Zhu, Suyog Gupta
To prune, or not to prune: exploring the efficacy of pruning for model compression. CoRR (2017)
Qiming Huang, Michael Zhu
SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis. KDD (2017)
Pan Chao, Qiming Huang, Michael Zhu
Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics. KDD (2015)
Michael Zhu, Anthony R. Dick, Anton van den Hengel
Camera Network Topology Estimation by Lighting Variation. DICTA (2015)
Michael Zhu, Stefano Ermon
A Hybrid Approach for Probabilistic Inference using Random Projections. ICML (2015)
Sanjeev Arora, Rong Ge, Yonatan Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu
A Practical Algorithm for Topic Modeling with Provable Guarantees. ICML (2) (2013)
Sanjeev Arora, Rong Ge, Yoni Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu
A Practical Algorithm for Topic Modeling with Provable Guarantees CoRR (2012)
Moshe Dror, James B. Orlin, Michael Zhu
Packing Shelves with Items that Divide the Shelves' Length: a Case of a Universal Number Partition Problem. Discret. Math. Algorithms Appl. 2 (2) (2010)