| 2026 | CRYPTO | Twist and Shout: Faster Memory Checking Arguments via One-Hot Addressing and Increments. | Srinath Setty, Justin Thaler, Michael Zhu |
| 2022 | ISMAR | Validating the effects of immersion and spatial audio using novel continuous biometric sensor measures for Virtual Reality. | Richard Warp, Michael Zhu, Ivana Kiprijanovska, Jonathan Wiesler, Scot Stafford, Ifigeneia Mavridou |
| 2022 | LREC | Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing. | Zhaoxin Luo, Michael Zhu |
| 2021 | IJCNN | Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. | Zhaoxin Luo, Michael Zhu |
| 2020 | ICML | Variance Reduction and Quasi-Newton for Particle-Based Variational Inference. | Michael Zhu, Chang Liu, Jun Zhu |
| 2020 | ICMLA | LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification. | Timothy Reese, Michael Zhu |
| 2018 | ICLR | To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression. | Michael Zhu, Suyog Gupta |
| 2017 | ACIVS | Large-Scale Camera Network Topology Estimation by Lighting Variation. | Michael Zhu, Anthony R. Dick, Anton van den Hengel |
| 2017 | KDD | SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis. | Qiming Huang, Michael Zhu |
| 2015 | DICTA | Camera Network Topology Estimation by Lighting Variation. | Michael Zhu, Anthony R. Dick, Anton van den Hengel |
| 2015 | ICML | A Hybrid Approach for Probabilistic Inference using Random Projections. | Michael Zhu, Stefano Ermon |
| 2015 | KDD | Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics. | Pan Chao, Qiming Huang, Michael Zhu |
| 2013 | ICML | A Practical Algorithm for Topic Modeling with Provable Guarantees. | Sanjeev Arora, Rong Ge, Yonatan Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu |