| Understanding straight-through estimator in training activation quantized neural nets P Yin, J Lyu, S Zhang, S Osher, Y Qi, J Xin arXiv preprint arXiv:1903.05662, 2019 | 270 | 2019 |
| Binaryrelax: A relaxation approach for training deep neural networks with quantized weights P Yin, S Zhang, J Lyu, S Osher, Y Qi, J Xin SIAM Journal on Imaging Sciences 11 (4), 2205-2223, 2018 | 93 | 2018 |
| Blended coarse gradient descent for full quantization of deep neural networks P Yin, S Zhang, J Lyu, S Osher, Y Qi, J Xin Research in the Mathematical Sciences 6, 1-23, 2019 | 68 | 2019 |
| Autoshufflenet: Learning permutation matrices via an exact lipschitz continuous penalty in deep convolutional neural networks J Lyu, S Zhang, Y Qi, J Xin Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 30 | 2020 |
| Dense network expansion for class incremental learning Z Hu, Y Li, J Lyu, D Gao, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Computing residual diffusivity by adaptive basis learning via spectral method J Lyu, J Xin, Y Yu Numerical Mathematics: Theory, Methods and Applications 10 (2), 351-372, 2017 | 16 | 2017 |
| Channel pruning for deep neural networks via a relaxed groupwise splitting method B Yang, J Lyu, S Zhang, Y Qi, J Xin 2019 Second International Conference on Artificial Intelligence for …, 2019 | 15 | 2019 |
| Residual diffusivity in elephant random walk models with stops J Lyu, J Xin, Y Yu arXiv preprint arXiv:1705.02711, 2017 | 12 | 2017 |
| Curvature effect in shear flow: Slowdown of turbulent flame speeds with Markstein number J Lyu, J Xin, Y Yu Communications in Mathematical Physics 359, 515-533, 2018 | 6 | 2018 |
| A channel-pruned and weight-binarized convolutional neural network for keyword spotting J Lyu, S Sheen Advanced Computational Methods for Knowledge Engineering: Proceedings of the …, 2020 | 5 | 2020 |
| Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.(2019) P Yin, J Lyu, S Zhang, S Osher, Y Qi, J Xin arXiv preprint cs.LG/1903.05662, 2019 | 5 | 2019 |
| Mobileinst: Video instance segmentation on the mobile R Zhang, T Cheng, S Yang, H Jiang, S Zhang, J Lyu, X Li, X Ying, D Gao, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7260-7268, 2024 | 3 | 2024 |
| Computing residual diffusivity by adaptive basis learning via super-resolution deep neural networks J Lyu, J Xin, Y Yu International Conference on Computer Science, Applied Mathematics and …, 2019 | 3 | 2019 |
| Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition S Sheen, J Lyu arXiv preprint arXiv:1811.02784, 2018 | 1 | 2018 |
| Scene segmentation and object tracking LYU Jiancheng, D Gao, Y Qi, S Zhang, N Bi US Patent App. 17/828,962, 2023 | | 2023 |
| System and method for performing semantic image segmentation S Zhang, Y Xiaowen, LYU Jiancheng, Y Qi US Patent App. 17/669,040, 2023 | | 2023 |
| POP: Prompt Of Prompts for Continual Learning Z Hu, J Lyu, D Gao, N Vasconcelos arXiv preprint arXiv:2306.08200, 2023 | | 2023 |
| Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks F Xue, J Xin, J Lyu, S Zhang, Y Qi 2019 Second International Conference on Artificial Intelligence for …, 2019 | | 2019 |
| A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks F Xue, J Xin, J Lyu, S Zhang, Y Qi 2019 Second International Conference on Artificial Intelligence for Industries, 2019 | | 2019 |
| Studies of Residual Diffusivity and Curvature Dependent Effective Velocity in Fluid Flows by Analytical and Machine Learning Methods J Lyu UC Irvine, 2018 | | 2018 |
Jack XinChancellor's Professor of Mathematics, UC IrvineVerified email at uci.edu
