| Relaxed Wasserstein with applications to GANs X Guo, J Hong, T Lin, N Yang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 43 | 2021 |
| To rarefy or not to rarefy: robustness and efficiency trade-offs of rarefying microbiome data J Hong, U Karaoz, P De Valpine, W Fithian Bioinformatics 38 (9), 2389-2396, 2022 | 15 | 2022 |
| Equivariant perturbation in Gomory and Johnson's infinite group problem (V). Software for the continuous and discontinuous 1-row case CY Hong, M Köppe, Y Zhou Optimization Methods and Software 33 (3), 475-498, 2018 | 9 | 2018 |
| Machine learning techniques for price change forecast using the limit order book data J Han, J Hong, N Sutardja, SF Wong Working Paper, 2015 | 7 | 2015 |
| Ambiguity set and learning via Bregman and Wasserstein X Guo, J Hong, N Yang arXiv preprint arXiv:1705.08056, 2017 | 3 | 2017 |
| Relaxed Wasserstein, with applications to GANs and distributionally robust optimization X Guo, J Hong, T Lin, N Yang Arxive Preprint Series, arXiv 1705, v5, 2019 | 1 | 2019 |
| An introduction to the use of hidden Markov models for stock return analysis CY Hong, Y Pitcan | 1 | 2015 |
