| Physics-assisted generative adversarial network for X-ray tomography Z Guo, JK Song, G Barbastathis, ME Glinsky, CT Vaughan, KW Larson, ... Optics Express 30 (13), 23238-23259, 2022 | 12 | 2022 |
| Improving Small Language Models in Domain-Specific QA via Generative Data Augmentation Z Guo, P Wang, Y Wang, S Yu LLM4AI’23: Workshop on Foundations and Applications in Large-scale AI Models …, 2023 | 8* | 2023 |
| Ferromagnetism emerged from non-ferromagnetic atomic crystals C Gong, P Zhang, T Norden, Q Li, Z Guo, A Chaturvedi, A Najafi, S Lan, ... Nature Communications 14 (1), 3839, 2023 | 7 | 2023 |
| AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising Z Guo, S Yu NeurIPS’23 Workshop on Generative AI for Education (GAIED), 2023 | 4 | 2023 |
| Randomized probe imaging through deep k-learning Z Guo, A Levitan, G Barbastathis, R Comin Optics Express 30 (2), 2247-2264, 2022 | 4 | 2022 |
| Wafer-scale on-chip synthesis and field emission properties of vertically aligned boron nitride based nanofiber arrays H Long, T Pham, A Yan, Z Guo, H Ishida, W Shi, S Turner, SM Gilbert, ... Applied Physics Letters 114 (9), 2019 | 3 | 2019 |
| Noise-resilient deep learning for integrated circuit tomography Z Guo, Z Liu, G Barbastathis, Q Zhang, ME Glinsky, BK Alpert, ZH Levine Optics Express 31 (10), 15355-15371, 2023 | 2 | 2023 |
| Noise resilience deep reconstruction for X-ray tomography Z Guo, Z Liu, Q Zhang, G Barbastathis Machine Learning and Other Accelerators, 78, 2022 | 2 | 2022 |
| Noise-resilient approach for deep tomographic imaging Z Guo, Z Liu, Q Zhang, G Barbastathis, ME Glinsky CLEO: Science and Innovations, JTu2A. 20, 2023 | 1 | 2023 |
| On the use of deep learning for three-dimensional computational imaging G Barbastathis, S Pang, I Kang, Z Wu, Z Liu, Z Guo, F Zhang Practical Holography XXXVII: Displays, Materials, and Applications 12445 …, 2023 | 1 | 2023 |
| Advantage of machine learning over maximum likelihood in limited-angle low-photon X-ray tomography Z Guo, JK Song, G Barbastathis, ME Glinsky, CT Vaughan, KW Larson, ... arXiv preprint arXiv:2111.08011, 2021 | 1 | 2021 |
| JetMoE: Reaching Llama2 Performance with 0.1 M Dollars Y Shen, Z Guo, T Cai, Z Qin arXiv preprint arXiv:2404.07413, 2024 | | 2024 |
| Non-invasive Estimation of the Powder Size Distribution from a Single Speckle Image Q Zhang, G Barbastathis, A Pandit, Z Liu, Z Guo, S Muddu, Y Wei, ... | | 2024 |
| API Pack: A Massive Multilingual Dataset for API Call Generation Z Guo, AM Soria, W Sun, Y Shen, R Panda arXiv preprint arXiv:2402.09615, 2024 | | 2024 |
| Diversity Measurement and Subset Selection for Instruction Tuning Datasets P Wang, Y Shen, Z Guo, M Stallone, Y Kim, P Golland, R Panda arXiv preprint arXiv:2402.02318, 2024 | | 2024 |
| Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering Z Guo, Y Hua arXiv preprint arXiv:2311.00204, 2023 | | 2023 |
| Coherent diffractive imaging for dynamic printing Z Guo, Z Liu, S Pang, F Zhang, G Barbastathis Computational Optical Sensing and Imaging, CTh4D. 5, 2023 | | 2023 |
| Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography Z Guo, JK Song, G Barbastathis, ME Glinsky, CT Vaughn, KW Larson, ... Electronic Imaging 34, 1-6, 2022 | | 2022 |
| Physics-assisted machine learning for X-ray imaging Z Guo Massachusetts Institute of Technology, 2022 | | 2022 |
| Towards information limit in a low photon 3 dimensional x-ray imaging. J Song, Z Guo, Z Levine, M Glinsky, G Barbastathis Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
George BarbastathisProfessor of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
