| 16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses S Woloszynek, Z Zhao, J Chen, GL Rosen PLoS computational biology 15 (2), e1006721, 2019 | 39 | 2019 |
| Label-retrieval-augmented diffusion models for learning from noisy labels J Chen, R Zhang, T Yu, R Sharma, Z Xu, T Sun, C Chen Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints J Chen, R Zhang, Y Zhou, R Jain, Z Xu, R Rossi, C Chen The Twelfth International Conference on Learning Representations, 2024 | 5 | 2024 |
| Timed hazard networks: Incorporating temporal difference for oncogenetic analysis J Chen PLOS ONE 18 (3), e0283004, 2023 | 4 | 2023 |
| Alignment-free comparison of metagenomics sequences via approximate string matching J Chen, L Yang, L Li, S Goodison, Y Sun Bioinformatics Advances 2 (1), vbac077, 2022 | 3 | 2022 |
| TRINS: Towards Multimodal Language Models that Can Read R Zhang, Y Zhang, J Chen, Y Zhou, J Gu, C Chen, T Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Predicting alignment distances via continuous sequence matching J Chen, LL Le Yang, Y Sun bioRxiv, 2020 | 2 | 2020 |
| MMR: Evaluating Reading Ability of Large Multimodal Models J Chen, R Zhang, Y Zhou, R Rossi, J Gu, C Chen arXiv preprint arXiv:2408.14594, 2024 | | 2024 |
| LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models R Zhang, Y Zhou, J Chen, J Gu, C Chen, T Sun arXiv preprint arXiv:2407.19185, 2024 | | 2024 |
Ruiyi ZhangAdobe Research在 cs.duke.edu 的电子邮件经过验证
