| Hdmapgen: A hierarchical graph generative model of high definition maps L Mi, H Zhao, C Nash, X Jin, J Gao, C Sun, C Schmid, N Shavit, Y Chai, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 51 | 2021 |
| Training-free uncertainty estimation for dense regression: sensitivity as a surrogate L Mi, H Wang, Y Tian, N Shavit Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022), 2019 | 45* | 2019 |
| Cross-classification clustering: An efficient multi-object tracking technique for 3-d instance segmentation in connectomics Y Meirovitch*, L Mi*, H Saribekyan, A Matveev, D Rolnick, N Shavit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 39 | 2019 |
| A fluidic circuit based, high-efficiency and large-scale single cell trap L Mi, L Huang, J Li, G Xu, Q Wu, W Wang Lab on a Chip 16 (23), 4507-4511, 2016 | 38 | 2016 |
| A probe towards understanding GAN and VAE models L Mi*, M Shen*, J Zhang* arXiv preprint arXiv:1812.05676, 2018 | 30 | 2018 |
| Study of a microfluidic chip integrating single cell trap and 3D stable rotation manipulation L Huang, L Tu, X Zeng, L Mi, X Li, W Wang Micromachines 7 (8), 141, 2016 | 24 | 2016 |
| im2nerf: Image to neural radiance field in the wild L Mi, A Kundu, D Ross, F Dellaert, N Snavely, A Fathi arXiv preprint arXiv:2209.04061, 2022 | 11 | 2022 |
| Revisiting latent-space interpolation via a quantitative evaluation framework L Mi, T He, CF Park, H Wang, Y Wang, N Shavit arXiv preprint arXiv:2110.06421, 2021 | 6 | 2021 |
| Learning guided electron microscopy with active acquisition L Mi, H Wang, Y Meirovitch, R Schalek, SC Turaga, JW Lichtman, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
| Connectome-constrained latent variable model of whole-brain neural activity L Mi, R Xu, S Prakhya, A Lin, N Shavit, ADT Samuel, SC Turaga The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 5 | 2022 |
| Towards on-chip single cell manipulation of trap and rotation L Huang, L Tu, X Zeng, L Mi, X Li, W Wang 2016 International Conference on Manipulation, Automation and Robotics at …, 2016 | 5 | 2016 |
| X-Ray2EM: uncertainty-aware cross-modality image reconstruction from X-Ray to electron microscopy in connectomics Y Li, Y Meirovitch, AT Kuan, JS Phelps, A Pacureanu, WCA Lee, N Shavit, ... IEEE - International Symposium on Biomedical Imaging - ISBI 2023, 2023 | 3 | 2023 |
| Energy-based concept bottleneck models: unifying prediction, concept intervention, and conditional interpretations X Xu, Y Qin, L Mi, H Wang, X Li arXiv preprint arXiv:2401.14142, 2024 | 2 | 2024 |
| Energy-based concept bottleneck models X Xu, Y Qin, L Mi, H Wang, X Li The Twelfth International Conference on Learning Representations (ICLR 2023), 2023 | 2 | 2023 |
| LatticeGen: A cooperative framework which hides generated text in a lattice for privacy-aware generation on cloud M Zhang, T He, T Wang, F Mireshghallah, B Chen, H Wang, Y Tsvetkov arXiv preprint arXiv:2309.17157, 2023 | 2 | 2023 |
| Energy-based concept bottleneck models: Unifying prediction, concept intervention, and probabilistic interpretations X Xu, Y Qin, L Mi, H Wang, X Li The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
| Learning time-invariant representations for individual neurons from population dynamics L Mi*, T Le*, T He, E Shlizerman, U Sümbül Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 1 | 2023 |
| SmartEM: machine-learning guided electron microscopy Y Meirovitch, CF Park, L Mi, P Potocek, S Sawmya, Y Li, IS Chandok, ... bioRxiv, 2023.10. 05.561103, 2023 | 1 | 2023 |
| The XPRESS challenge: X-Ray projectomic reconstruction--extracting segmentation with skeletons T Nguyen, M Narwani, M Larson, Y Li, S Xie, H Pfister, D Wei, N Shavit, ... IEEE - International Symposium on Biomedical Imaging - ISBI Challenge 2023, 2023 | 1 | 2023 |
| System and method for learning-guided electron microscopy N Shavit, A Samuel, J Lichtman, L Mi US Patent 11,557,459, 2023 | 1 | 2023 |
Hao WangAssistant Professor of Computer Science, Rutgers University在 mit.edu 的电子邮件经过验证
