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A real-time 2D/3D hand pose estimation model robust to occlusion. Utilizes a biologically inspired constraint and synthetic hand data to enhance model generalization.
Published in , 2016
Recommended citation: Lee, E.H., Grassi, R. and Low, T. Theoretical investigation of phonon-polariton modes in cylindrical hexagonal boron nitride. Undergraduate Research Opportunity Program (2016).
Published in , 2022
Recommended citation: Lee, E. H., Jiang, W., Alsalman, H., Low, T. & Cherkassky, V. Methodological framework for materials discovery using machine learning. Physical Review Materials 6, 043802 (2022).
Published in , 2022
Recommended citation: Lee, E.H. and Cherkassky, V. VC theoretical explanation of double descent. CSE Graduate Students Welcome Session (2022).
Published in , 2022
Recommended citation: Lee, E.H. and Cherkassky, V. VC theoretical explanation of double descent. Institute for Engineering in Medicine Annual Conference (2022).
Published in , 2022
Recommended citation: Lee, E.H. and Cheng, W.H. Lithography system and methods. US patent no.: US20220382167A1 (2022).
Published in , 2023
Recommended citation: Lee, S., Seo, D., Park, S.H., Izquierdo, N., Lee, E.H., Younas, R., Zhou, G., Palei, M., Hoffman, A.J., Jang, M.S., Hinkle, C.L., Koester, S.J., Low, T. Achieving near-perfect light absorption in atomically thin transition metal dichalcogenides through band nesting. Nature Communications 14, 3889 (2023).
Published in , 2023
Recommended citation: Cherkassky, V. & Lee, E. H. To understand double descent, we need to understand VC theory. Neural Networks 169, 242–256 (2024).
Published in , 2024
Recommended citation: Heller, N., Mallery, K., Bristow, N., Travadi, Y., Lee, E.H., Hong, J. Abstract 2304: Detection of early-disseminated cancer cells with deep learning-enabled holographic imaging. Cancer Research 84, 2304–2304 (2024).
Published in , 2024
Recommended citation: Lee, E. H. & Cherkassky, V. Understanding double descent using VC-theoretical framework. IEEE Transactions on Neural Networks and Learning Systems 35, 18838–18847 (2024).
Published in , 2024
Recommended citation: Cherkassky, V. & Lee, E. H. A perspective on large language models, intelligent machines, and knowledge acquisition. arXiv preprint arXiv:2408.06598 (2024).
Published in , 2024
Recommended citation: Lee, E.H., Lee, S., Feummeler, E., Tadmor, E., Low, T., and Cherkassky, V. Enhancing materials discovery with the LUPI framework: a novel approach to predicting material properties. 3M Poster Symposium (2024).
Published in , 2024
Recommended citation: Lee, E.H., Lee, S., Feummeler, E., Tadmor, E., Low, T., and Cherkassky, V. Enhancing materials discovery with the LUPI framework: a novel approach to predicting material properties. Midwest Machine Learning Symposium (2024).
Published in , 2024
Recommended citation: Lee, E.H., Lee, S., Feummeler, E., Tadmor, E., Low, T., and Cherkassky, V. Enhancing materials discovery with the LUPI framework: a novel approach to predicting material properties. Knowledge Guided Machine Learning Workshop (2024).
Published in , 2025
Recommended citation: Khammanivong, A., Lee, E.H., Khonkhammy, D., Gunnarson, C., Sockalingum, G.D., Bedros, S., Petcavich, R., Pham, D.Q. Abstract LB409: OncodeAi™-Breast CED: A nanoparticle-enhanced IR molecular sensing platform for early breast cancer detection. Cancer Research 85, LB409–LB409 (2025).
Published in , 2025
Recommended citation: Khaw, M.J., Zorko, N.A., Kennedy, P.R., Bendzick, L.E., Shackelford, M., Selleck, C., Hinderlie, P., Walker, J.T., Soignier, Y., Lyons, R.C., Femino, E.L., Stenger, T., Dasgupta, T., Kotz, L.E., Shetty, M., Phung, S.K., Lee, E.H., Lu, Q., Lim, J., Provenzano, P.P., Fujioka, N., Davis, Z.B., Geller, M.A., Wagner, J.E., MacMillan, M.L., Felices, M., Miller, J.S. Novel trispecific killer engager targeting B7-H3 enhances natural killer cell antitumor activity against head and neck cancer. Journal for Immunotherapy Cancer 13, e011370 (2025).
Published in , 2025
Recommended citation: Lee, S., Lee, E.H., Kwon, Y.-K., Koester, S.J., Avouris, P., Cherkassky, V., Tersoff, J., Low, T. Generalized energy band alignment model for van der Waals heterostructures with a charge spillage dipole. ACS Nano 19, 37749–37757 (2025).
Published in , 2026
Recommended citation: Cherkassky, V., Lee, E.H.. VC-Theoretical Explanation of Double Descent.. in The Importance of Being Learnable: Essays Dedicated to Alexander Gammerman (eds An Nguyen, K. & Luo, Z.) 157-176, Springer Nature Switzerland, Cham (2026).
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