| Path development network with finite-dimensional Lie group representation H Lou, S Li, H Ni arXiv preprint arXiv:2204.00740, 2022 | 8 | 2022 |
| PCF-GAN: generating sequential data via the characteristic function of measures on the path space H Lou, S Li, H Ni Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Subtle variation in sepsis-III definitions markedly influences predictive performance within and across methods SN Cohen, J Foster, P Foster, H Lou, T Lyons, S Morley, J Morrill, H Ni, ... Scientific Reports 14 (1), 1920, 2024 | 3 | 2024 |
| Beating the best: improving on AlphaFold2 at protein structure prediction A Abdel-Rehim, O Orhobor, H Lou, H Ni, RD King arXiv preprint arXiv:2301.07568, 2023 | 3 | 2023 |
| A simple spatial extension to the extended connectivity interaction features for binding affinity prediction OI Orhobor, AA Rehim, H Lou, H Ni, RD King Royal Society Open Science 9 (5), 211745, 2022 | 3 | 2022 |
| Path development with applications in deep learning H Lou UCL (University College London), 2023 | | 2023 |
| Protein–ligand binding affinity prediction exploiting sequence constituent homology A Abdel-Rehim, O Orhobor, L Hang, H Ni, RD King Bioinformatics 39 (8), btad502, 2023 | | 2023 |
| Path Development Network with Finite-dimensional Lie Group H Lou, S Li, H Ni Transactions on Machine Learning Research, 0 | | |
