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2020 – today
- 2023
[i10]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 abs/2307.04018 (2023)- [i9]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: 1473 (2023) - 2022
- [j3]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): 100097 (2022) - [c15]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: 1-6 - [c14]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: 262-265 - [c13]Zhaoxin Luo, Michael Zhu:
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing. LREC 2022: 6104-6113 - [i8]Zhaoxin Luo, Michael Zhu:
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing. CoRR abs/2201.08919 (2022) - 2021
- [c12]Zhaoxin Luo, Michael Zhu:
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. IJCNN 2021: 1-8 - [i7]Zhaoxin Luo, Michael Zhu:
Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. CoRR abs/2106.02562 (2021) - [i6]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 abs/2108.04816 (2021) - [i5]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 abs/2108.09416 (2021) - 2020
- [c11]Michael Zhu, Chang Liu, Jun Zhu:
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference. ICML 2020: 11576-11587 - [c10]Timothy Reese
, Michael Zhu:
LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification. ICMLA 2020: 142-147 - [i4]Michael Zhu, Kevin Murphy, Rico Jonschkowski:
Towards Differentiable Resampling. CoRR abs/2004.11938 (2020) - [i3]Yang Yang, Ke Deng, Michael Zhu:
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization. CoRR abs/2007.09953 (2020)
2010 – 2019
- 2019
- [c9]Michael Zhu:
Sample Adaptive MCMC. NeurIPS 2019: 9063-9074 - 2018
- [j2]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): 85-93 (2018) - [c8]Michael Zhu, Suyog Gupta:
To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression. ICLR (Workshop) 2018 - 2017
- [c7]Michael Zhu, Anthony R. Dick, Anton van den Hengel:
Large-Scale Camera Network Topology Estimation by Lighting Variation. ACIVS 2017: 455-467 - [c6]Qiming Huang, Michael Zhu:
SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis. KDD 2017: 857-865 - [c5]Chao Pan, Michael Zhu:
Group Additive Structure Identification for Kernel Nonparametric Regression. NIPS 2017: 4907-4916 - [i2]Michael Zhu, Suyog Gupta:
To prune, or not to prune: exploring the efficacy of pruning for model compression. CoRR abs/1710.01878 (2017) - 2015
- [c4]Michael Zhu, Anthony R. Dick, Anton van den Hengel:
Camera Network Topology Estimation by Lighting Variation. DICTA 2015: 1-6 - [c3]Michael Zhu, Stefano Ermon:
A Hybrid Approach for Probabilistic Inference using Random Projections. ICML 2015: 2039-2047 - [c2]Pan Chao, Qiming Huang, Michael Zhu:
Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics. KDD 2015: 905-914 - 2013
- [c1]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: 280-288 - 2012
- [i1]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 abs/1212.4777 (2012) - 2010
- [j1]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): 189-198 (2010)
Coauthor Index
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