| Minimization of for Compressed Sensing P YIN, Y LOU, QI HE, J XIN SIAM Journal on Scientific Computing 37 (1), A536-A563, 2015 | 448 | 2015 |
| Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets P Yin, J Lyu, S Zhang, S Osher, Y Qi, J Xin International Conference on Learning Representations (ICLR), 2019 | 350 | 2019 |
| Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L1 and L2 Y Lou, P Yin, Q He, J Xin Journal of Scientific Computing 64 (1), 178-196, 2015 | 178 | 2015 |
| Deep learning for real-time crime forecasting and its ternarization B Wang, P Yin, AL Bertozzi, PJ Brantingham, SJ Osher, J Xin Chinese Annals of Mathematics, 2019 | 116 | 2019 |
| SCRABBLE: Single-Cell RNA-Seq Imputation Constrained by Bulk RNA-Seq Data T Peng, Q Zhu, P Yin, K Tan Genome Biology 20 (1), 88, 2019 | 114 | 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 | 98 | 2018 |
| Ratio and Difference of l1 and l2 Norms and Sparse Representation with Coherent Dictionaries P Yin, E Esser, J Xin Communications in Information and Systems 14 (2), 87-109, 2014 | 96 | 2014 |
| 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 | 77 | 2019 |
| Laplacian smoothing gradient descent S Osher, B Wang, P Yin, X Luo, F Barekat, M Pham, A Lin Research in the Mathematical Sciences 9 (3), 55, 2022 | 68 | 2022 |
| Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection P Yin, S Zhang, Y Qi, J Xin Journal of Computational Mathematics, 2018 | 61* | 2018 |
| Point Source Super-resolution Via Non-convex L1 Based Methods Y Lou, P Yin, J Xin Journal of Scientific Computing 68 (3), 1082-1100, 2016 | 54 | 2016 |
| Non-ergodic Convergence Analysis of Heavy-Ball Algorithms T Sun, P Yin, D Li, C Huang, L Guan, H Jiang AAAI Conference on Artificial Intelligence (AAAI), 2019 | 52 | 2019 |
| Computations of optimal transport distance with Fisher information regularization W Li, P Yin, S Osher Journal of Scientific Computing, 2017 | 45 | 2017 |
| Alternating direction method of multipliers with difference of convex functions T Sun, P Yin, L Cheng, H Jiang Advances in Computational Mathematics 44, 723-744, 2018 | 35 | 2018 |
| Transformed Schatten-1 Iterative Thresholding Algorithms for Low Rank Matrix Completion S Zhang, P Yin, J Xin Communications in Mathematical Sciences 15 (3), 839-862, 2017 | 34* | 2017 |
| Adversarial defense via the data-dependent activation, total variation minimization, and adversarial training B Wang, A Lin, P Yin, W Zhu, A L Bertozzi, S J Osher Inverse Problems & Imaging, 2020 | 33* | 2020 |
| PhaseLiftOff: an Accurate and Stable Phase Retrieval Method Based on Difference of Trace and Frobenius Norms P Yin, J Xin Communications in Mathematical Sciences 13 (4), 1033-1049, 2015 | 29 | 2015 |
| Unbalanced and Partial L1 Monge–Kantorovich Problem: A Scalable Parallel First-Order Method E Ryu, W Li, P Yin, S Osher Journal of Scientific Computing, 2017 | 26* | 2017 |
| Generalized Proximal Smoothing For Phase Retrieval M Pham, P Yin, A Rana, S Osher, J Miao Optics Express 27 (3), 2792-2808, 2019 | 25 | 2019 |
| Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for K-means Clustering P Yin, M Pham, A Oberman, S Osher Journal of Scientific Computing 77 (2), 1133-1146, 2018 | 15 | 2018 |
Jack XinChancellor's Professor of Mathematics, UC Irvine確認したメール アドレス: uci.edu