| Post-training piecewise linear quantization for deep neural networks J Fang, A Shafiee, H Abdel-Aziz, D Thorsley, G Georgiadis, JH Hassoun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 144 | 2020 |
| The protective effect of polyphenols for colorectal cancer S Ding, S Xu, J Fang, H Jiang Frontiers in immunology 11, 555805, 2020 | 60 | 2020 |
| Thermal effect on permeability in a single granite fracture: experiment and theoretical model H Peng, Z Zhao, W Chen, Y Chen, J Fang, B Li International Journal of Rock Mechanics and Mining Sciences 131, 104358, 2020 | 25 | 2020 |
| Learning dominant wave directions for plane wave methods for high-frequency Helmholtz equations J Fang, J Qian, L Zepeda-Núñez, H Zhao Research in the Mathematical Sciences 4, 1-35, 2017 | 20 | 2017 |
| Near-lossless post-training quantization of deep neural networks via a piecewise linear approximation J Fang, A Shafiee, H Abdel-Aziz, D Thorsley, G Georgiadis, J Hassoun arXiv preprint arXiv:2002.00104 10, 978-3, 2020 | 17 | 2020 |
| A hybrid approach to solve the high-frequency Helmholtz equation with source singularity in smooth heterogeneous media J Fang, J Qian, L Zepeda-Núñez, H Zhao Journal of Computational Physics 371, 261-279, 2018 | 15 | 2018 |
| Characterization of myeloid-derived suppressor cells and tumor associated macrophages using MultiOmyxTM hyperplexed immunofluorescence assay in Hodgkin lymphoma Q Au, J Fang, A Juncker-Jensen, J Kuo, E Leones, F Sahafi, ... Blood 132, 4135, 2018 | 3 | 2018 |
| Towards regression-free neural networks for diverse compute platforms R Duggal, H Zhou, S Yang, J Fang, Y Xiong, W Xia European Conference on Computer Vision, 598-614, 2022 | 2 | 2022 |
| Efficient large-scale cell classification and analysis for MultiOmyxTMassays: A deep learning approach ML Nagy, A Hanifi, A Tirupsur, G Wong, J Fang, N Hoe, Q Au, ... Cancer Research 78 (13_Supplement), 2256-2256, 2018 | 2 | 2018 |
| Ray-based Finite Element Method for High-frequency Helmholtz Equations J Fang University of California, Irvine, 2017 | 2 | 2017 |
| An In-depth Study of Stochastic Backpropagation J Fang, M Xu, H Chen, B Shuai, Z Tu, J Tighe NeurIPS, 2022 | 1 | 2022 |
| Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators A Pedram, AS Ardestani, L Li, H Abdelaziz, J Fang, J Hassoun Journal of Systems Architecture 126, 102454, 2022 | 1 | 2022 |
| Using multiomyx™ to analyze correlations between immunosuppressive cells and tumor-infiltrating lymphocytes in the pancreatic tumor microenvironment A Juncker-Jensen, J Fang, J Kuo, ML Nagy, RK Padmanabhan, E Leones, ... Annals of Oncology 29, viii422, 2018 | 1 | 2018 |
| Musketeer: Joint Training/Inference for Multi-task Vision-Language Model with Task Explanation Prompts Z Zhang, Y Shen, K Shi, Z Cai, J Fang, S Deng, H Yang, D Modolo, Z Tu, ... | | 2023 |
| Threshold-Consistent Margin Loss for Open-World Deep Metric Learning Q ZHANG, L Xu, J Fang, Q Tang, YN Wu, J Tighe, Y Xing The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Piecewise quantization for neural networks J Fang, JH Hassoun, AS Ardestani, HAA Abdelaziz, G Georgiadis, ... US Patent 11,775,611, 2023 | | 2023 |
| Calibration-Aware Margin Loss: Pushing the Accuracy-Calibration Consistency Pareto Frontier for Deep Metric Learning Q Zhang, L Xu, Q Tang, J Fang, YN Wu, J Tighe, Y Xing arXiv preprint arXiv:2307.04047, 2023 | | 2023 |
| Creating an accurate latency lookup table for npu J Fang, L Yang, D Thorsley, JH Hassoun US Patent App. 17/576,914, 2023 | | 2023 |
| Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts Z Zhang, Y Shen, K Shi, Z Cai, J Fang, S Deng, H Yang, D Modolo, Z Tu, ... arXiv preprint arXiv:2305.07019, 2023 | | 2023 |
| System and method for training a neural network under performance and hardware constraints L Yang, J Fang, DPL Thorsley, JH Hassoun, HAA Abdelaziz US Patent App. 17/738,931, 2023 | | 2023 |
