| Point-PEFT: Parameter-efficient fine-tuning for 3D pre-trained models Y Tang, R Zhang, Z Guo, X Ma, B Zhao, Z Wang, D Wang, X Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5171-5179, 2024 | 3 | 2024 |
| On Quasirandom Permutations EK Zhang Eighth Annual MIT PRIMES Conference, 2018 | 3 | 2018 |
| The Lorenz Attractor and Bifurcations R Dhull, J D’Souza, E Zhang Harvard University, November 23, 2020 | 1 | 2020 |
| Generative Modeling of Bach Chorales by Gradient Estimation E Zhang, R Sirohi | 1 | 2020 |
| On 3-Inflatable permutations T Khovanova, E Zhang arXiv preprint arXiv:1809.08490, 2018 | 1 | 2018 |
| Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN Q Wu, Y Jiang, J Wu, K Wang, E Zhang, H Shi, Z Wang, S Chang Conference on Parsimony and Learning (Proceedings Track), 2023 | | 2023 |
| Designing Datalog-Based Embedded Languages EK Zhang | | 2023 |
| Statistics 211: Statistical Inference I EK Zhang | | 2021 |
| Learning, Space, and Cryptography A Gu, F Wang, E Zhang | | 2021 |
| Limit Densities of Patterns in Permutation Inflations T Khovanova, E Zhang The Electronic Journal of Combinatorics 28 (1), 24, 2021 | | 2021 |
| CS 252r: Advanced Topics in Programming Languages EK Zhang | | 2021 |
| Taint Analysis for Browser Fingerprinting J Ahn, W Dey, E Zhang | | 2020 |
| F= ma Contests: 2011–2019 Solutions Manual B Kisačanin, EK Zhang | | 2020 |
| Compression-Based Generalization Bounds EK Zhang | | 2020 |
| CS 228: Computational Learning Theory EK Zhang, FH Wang | | 2020 |
| Single Bidder Multi-Item Auctions F Wang, E Zhang | | 2019 |
| Versatile Diffusion: Text, Images and Variations All in One Diffusion Model–Supplementary– X Xu, Z Wang, E Zhang, K Wang, H Shi | | |
| Multi-Architecture Parallelism in Deep Learning Compilers CS 243 Project Report W Jiang, J Runevic, E Zhang | | |
| An Efficient Implementation of Pressure Field Models V Huang, F Wang, E Zhang | | |
Tanya KhovanovaMITVerified email at math.mit.edu
Tanya KhovanovaMITVerified email at math.mit.edu