Honglak Lee, Ph.D.
Affiliations: | Computer Science | University of Michigan, Ann Arbor, Ann Arbor, MI |
Website:
http://web.eecs.umich.edu/~honglak/Google:
"Honglak Lee"Parents
Sign in to add mentor| Andrew Y. Ng | grad student | Stanford (Neurotree) | |
| Andrew Ng | grad student | Stanford |
Children
Sign in to add trainee| Michael B Chang | research assistant | 2015-2015 | University of Michigan (Neurotree) |
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Publications
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| Jiang C, Hou X, Kondepudi A, et al. (2023) Hierarchical discriminative learning improves visual representations of biomedical microscopy. Proceedings. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2023: 19798-19808 |
| Hollon TC, Pandian B, Urias E, et al. (2020) Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks. Neuro-Oncology |
| Hollon TC, Pandian B, Adapa AR, et al. (2020) Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks. Nature Medicine |
| Rajendran J, Lewis R, Veeriah V, et al. (2020) How Should an Agent Practice? Proceedings of the Aaai Conference On Artificial Intelligence. 34: 5454-5461 |
| Hollon T, Urias E, Adapa A, et al. (2019) NIMG-69. RAPID INTRAOPERATIVE DIAGNOSIS OF GLIOMA RECURRENCE USING STIMULATED RAMAN HISTOLOGY AND DEEP NEURAL NETWORKS Neuro-Oncology. 21: vi177-vi177 |
| Burnap A, Pan Y, Liu Y, et al. (2016) Improving Design Preference Prediction Accuracy Using Feature Learning Journal of Mechanical Design. 138 |
| Bengio Y, Lee H. (2015) Editorial introduction to the Neural Networks special issue on Deep Learning of Representations. Neural Networks : the Official Journal of the International Neural Network Society. 64: 1-3 |
| Lenz I, Lee H, Saxena A. (2015) Deep learning for detecting robotic grasps The International Journal of Robotics Research. 34: 705-724 |
| Bengio S, Deng L, Larochelle H, et al. (2013) Guest editors' introduction: special section on learning deep architectures. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1795-7 |
| Mittelman R, Lee H, Kuipers B, et al. (2013) Weakly supervised learning of mid-level features with beta-bernoulli process restricted boltzmann machines Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 476-483 |