| DrugChat: towards enabling ChatGPT-like capabilities on drug molecule graphs Y Liang, R Zhang, L Zhang, P Xie arXiv preprint arXiv:2309.03907, 2023 | 24 | 2023 |
| When does maml work the best? an empirical study on model-agnostic meta-learning in nlp applications Z Liu, R Zhang, Y Song, M Zhang arXiv preprint arXiv:2005.11700, 2020 | 14 | 2020 |
| Graphine: A Dataset for Graph-aware Terminology Definition Generation Z Liu, S Wang, Y Gu, R Zhang, M Zhang, S Wang EMNLP 2021, 2021 | 9 | 2021 |
| scPretrain: multi-task self-supervised learning for cell-type classification R Zhang, Y Luo, J Ma, M Zhang, S Wang Bioinformatics 38 (6), 1607-1614, 2022 | 7 | 2022 |
| Proteinchat: Towards achieving chatgpt-like functionalities on protein 3d structures H Guo, M Huo, R Zhang, P Xie Authorea Preprints, 2023 | 5 | 2023 |
| BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models R Qiang, R Zhang, P Xie arXiv preprint arXiv:2403.13037, 2024 | 1 | 2024 |
| AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning R Zhang, R Qiang, SA Somayajula, P Xie NAACL 2024, 2024 | 1 | 2024 |
| scEpiLock: A Weakly Supervised Learning Framework for cis-Regulatory Element Localization and Variant Impact Quantification for Single-Cell Epigenetic Data Y Gong, SS Srinivasan, R Zhang, K Kessenbrock, J Zhang Biomolecules 12 (7), 874, 2022 | 1 | 2022 |
| Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization H Guo, R Hosseini, R Zhang, SA Somayajula, RR Chowdhury, RK Gupta, ... arXiv preprint arXiv:2402.18128, 2024 | | 2024 |
| BiLoRA: A Bi-level Optimization Framework for Low-rank Adapters R Qiang, R Zhang, P Xie | | 2023 |
| Turtling: A Time-aware Neural Topic Model on NIH Grant Data R Zhang, Z Duan, CY Lee, D Riffle, MR Min, J Zhang Bioinformatics Advances, vbad096, 2023 | | 2023 |
