| Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations X Yue, Z Wang, J Huang, S Parthasarathy, S Moosavinasab, Y Huang, ... Bioinformatics 36 (4), 1241-1251, 2020 | 358 | 2020 |
| Predicting drug-disease associations by using similarity constrained matrix factorization W Zhang, X Yue, W Lin, W Wu, R Liu, F Huang, F Liu BMC bioinformatics 19, 1-12, 2018 | 216 | 2018 |
| SFPEL-LPI: sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions W Zhang, X Yue, G Tang, W Wu, F Huang, X Zhang PLoS computational biology 14 (12), e1006616, 2018 | 134 | 2018 |
| Manifold regularized matrix factorization for drug-drug interaction prediction W Zhang, Y Chen, D Li, X Yue Journal of biomedical informatics 88, 90-97, 2018 | 100 | 2018 |
| Mammoth: Building math generalist models through hybrid instruction tuning X Yue, X Qu, G Zhang, Y Fu, W Huang, H Sun, Y Su, W Chen ICLR 2024 (Spotlight), 2024 | 87 | 2024 |
| Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network W Zhang, X Yue, F Huang, R Liu, Y Chen, C Ruan Methods 145, 51-59, 2018 | 84 | 2018 |
| Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi X Yue, Y Ni, K Zhang, T Zheng, R Liu, G Zhang, S Stevens, D Jiang, ... CVPR 2024 (Oral), 2024 | 64 | 2024 |
| Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations F Huang*, X Yue*, Z Xiong, Z Yu, S Liu, W Zhang Briefings in Bioinformatics, 2020 | 61 | 2020 |
| A unified frame of predicting side effects of drugs by using linear neighborhood similarity W Zhang, X Yue, F Liu, Y Chen, S Tu, X Zhang BMC systems biology 11, 23-34, 2017 | 61 | 2017 |
| Automatic evaluation of attribution by large language models X Yue, B Wang, K Zhang, Z Chen, Y Su, H Sun Findings of EMNLP 2023, 2023 | 49 | 2023 |
| Predicting drug-disease associations based on the known association bipartite network W Zhang, X Yue, Y Chen, W Lin, B Li, F Liu, X Li 2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017 | 47 | 2017 |
| Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset X Yue, BJ Gutierrez, H Sun ACL 2020, 2020 | 46 | 2020 |
| Differential Privacy for Text Analytics via Natural Text Sanitization X Yue, M Du, T Wang, Y Li, H Sun, SSM Chow ACL 2021 Findings, 2021 | 40* | 2021 |
| Synthetic text generation with differential privacy: A simple and practical recipe X Yue, HA Inan, X Li, G Kumar, J McAnallen, H Sun, D Levitan, R Sim ACL 2023, 2022 | 37 | 2022 |
| Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition G Wu, J Liu, X Yue BMC bioinformatics 20, 1-13, 2019 | 32 | 2019 |
| CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering X Yue, FX Zhang, Z Yao, S Lin, H Sun BIBM 2021, 2020 | 31 | 2020 |
| Sequence-based bacterial small RNAs prediction using ensemble learning strategies G Tang, J Shi, W Wu, X Yue, W Zhang BMC bioinformatics 19, 13-23, 2018 | 20 | 2018 |
| Can ChatGPT defend its belief in truth? evaluating LLM reasoning via debate B Wang, X Yue, H Sun Findings of the Association for Computational Linguistics: EMNLP 2023, 11865 …, 2023 | 19* | 2023 |
| SurfCon: Synonym Discovery on Privacy-Aware Clinical Data Z Wang, X Yue, S Moosavinasab, Y Huang, S Lin, H Sun KDD 2019, 1578--1586, 2019 | 19 | 2019 |
| Dp-forward: Fine-tuning and inference on language models with differential privacy in forward pass M Du, X Yue, SSM Chow, T Wang, C Huang, H Sun Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 18 | 2023 |
Huan SunAssociate Professor & CoE Innovation Scholar, The Ohio State UniversityDirección de correo verificada de osu.edu
