| Multiview robust adversarial stickers for arbitrary objects in the physical world S Oslund, C Washington, A So, T Chen, H Ji Journal of Computational and Cognitive Engineering 1 (4), 152-158, 2022 | 62 | 2022 |
| Convergence analysis of Markov chain Monte Carlo linear solvers using Ulam--von Neumann algorithm H Ji, M Mascagni, Y Li SIAM Journal on Numerical Analysis 51 (4), 2107-2122, 2013 | 42 | 2013 |
| A breakdown-free block conjugate gradient method H Ji, Y Li BIT Numerical Mathematics 57, 379-403, 2017 | 35 | 2017 |
| The impact of XBRL on information asymmetry: evidence from loan contracting D Chong, H Shi, L Fu, H Ji, G Yan Journal of Management Analytics 4 (2), 145-158, 2017 | 35 | 2017 |
| A rank revealing randomized singular value decomposition (R3SVD) algorithm for low-rank matrix approximations H Ji, W Yu, Y Li arXiv preprint arXiv:1605.08134, 2016 | 34 | 2016 |
| GPU accelerated randomized singular value decomposition and its application in image compression H Ji, Y Li Proc. of MSVESCC, 39-45, 2014 | 19 | 2014 |
| A load-balancing workload distribution scheme for three-body interaction computation on Graphics Processing Units (GPU) A Yaseen, H Ji, Y Li Journal of Parallel and Distributed Computing 87, 91-101, 2016 | 16 | 2016 |
| An apache spark implementation of block power method for computing dominant eigenvalues and eigenvectors of large-scale matrices H Ji, SH Weinberg, M Li, J Wang, Y Li 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud …, 2016 | 14 | 2016 |
| A conservation-moment-based implicit finite volume lattice Boltzmann method for steady nearly incompressible flows W Li, W Li, P Song, H Ji Journal of Computational Physics 398, 108882, 2019 | 13 | 2019 |
| Block conjugate gradient algorithms for least squares problems H Ji, Y Li Journal of Computational and Applied Mathematics 317, 203-217, 2017 | 13 | 2017 |
| Monte Carlo methods and their applications in Big Data analysis LM Chen, Z Su, B Jiang, H Ji, Y Li Mathematical problems in data science: Theoretical and practical methods …, 2015 | 13 | 2015 |
| March madness prediction: a matrix completion approach H Ji, E O’Saben, A Boudion, Y Li Proceedings of Modeling, Simulation, and Visualization Student Capstone …, 2015 | 12 | 2015 |
| Network traffic images: A deep learning approach to the challenge of internet traffic classification I Saleh, H Ji 2020 10th Annual Computing and Communication Workshop and Conference (CCWC …, 2020 | 11 | 2020 |
| Reusing random walks in Monte Carlo methods for linear systems H Ji, Y Li Procedia Computer Science 9, 383-392, 2012 | 11 | 2012 |
| An empirical evaluation of machine learning approaches for species identification through bioacoustics L Zhang, I Saleh, S Thapaliya, J Louie, J Figueroa-Hernandez, H Ji 2017 International Conference on Computational Science and Computational …, 2017 | 10 | 2017 |
| An implementation of block conjugate gradient algorithm on CPU-GPU processors H Ji, M Sosonkina, Y Li 2014 Hardware-Software Co-Design for High Performance Computing, 72-77, 2014 | 9 | 2014 |
| Matrix completion based model v2. 0: Predicting the winning probabilities of march madness matches H Ji, E O’Saben, R Lambi, Y Li Proc. of MSVESCC 2016, 2016 | 8 | 2016 |
| On multiview robustness of 3d adversarial attacks P Yao, A So, T Chen, H Ji Practice and Experience in Advanced Research Computing, 372-378, 2020 | 7 | 2020 |
| Calcium ion fluctuations alter channel gating in a stochastic luminal calcium release site model H Ji, Y Li, SH Weinberg IEEE/ACM transactions on computational biology and bioinformatics 14 (3 …, 2015 | 7 | 2015 |
| Towards better accuracy and robustness with localized adversarial training E Rothberg, T Chen, H Ji Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 10017 …, 2019 | 6 | 2019 |