| Medclip: Contrastive learning from unpaired medical images and text Z Wang, Z Wu, D Agarwal, J Sun EMNLP 2022, 2022 | 155 | 2022 |
| Transtab: Learning transferable tabular transformers across tables Z Wang, J Sun Advances in Neural Information Processing Systems 35, 2902-2915, 2022 | 61 | 2022 |
| Information theoretic counterfactual learning from missing-not-at-random feedback Z Wang, X Chen, R Wen, SL Huang, E Kuruoglu, Y Zheng Advances in Neural Information Processing Systems 33, 1854-1864, 2020 | 58 | 2020 |
| Deep semantic segmentation for visual understanding on construction sites Z Wang, Y Zhang, KM Mosalam, Y Gao, SL Huang Computer‐Aided Civil and Infrastructure Engineering 37 (2), 145-162, 2022 | 47 | 2022 |
| Less is better: Unweighted data subsampling via influence function Z Wang, H Zhu, Z Dong, X He, SL Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6340-6347, 2020 | 47 | 2020 |
| SurvTRACE: transformers for survival analysis with competing events Z Wang, J Sun Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 35 | 2022 |
| Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks Z Wang, R Wen, X Chen, S Cao, SL Huang, B Qian, Y Zheng Proceedings of the Web Conference 2021, 3349-3358, 2021 | 32 | 2021 |
| Data-driven Risk Assessment on Urban Pipeline Network based on a Cluster Model Z Wang, S Li Reliability Engineering & System Safety 196, 106781, 2019 | 30 | 2019 |
| Mindmap: Knowledge graph prompting sparks graph of thoughts in large language models Y Wen, Z Wang, J Sun arXiv preprint arXiv:2308.09729, 2023 | 25 | 2023 |
| PAC-bayes information bottleneck Z Wang, SL Huang, EE Kuruoglu, J Sun, X Chen, Y Zheng ICLR 2022 (Spotlight), 2021 | 25 | 2021 |
| Finding influential instances for distantly supervised relation extraction Z Wang, R Wen, X Chen, SL Huang, N Zhang, Y Zheng COLING 2022, 2022 | 22 | 2022 |
| MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Z Wang, C Gao, C Xiao, J Sun IJCAI 2024, 2023 | 19* | 2023 |
| Matching patients to clinical trials with large language models Q Jin, Z Wang, CS Floudas, J Sun, Z Lu ArXiv, 2023 | 17 | 2023 |
| PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning Z Wang, J Sun EMNLP 2022, 2022 | 11 | 2022 |
| Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision Z Wang, J Sun Findings of EMNLP 2022, 2022 | 10 | 2022 |
| SPOT: Sequential predictive modeling of clinical trial outcome with meta-learning Z Wang, C Xiao, J Sun ACM-BCB 2023, 2023 | 8 | 2023 |
| AutoTrial: Prompting Language Models for Clinical Trial Design Z Wang, C Xiao, J Sun EMNLP 2023, 2023 | 7 | 2023 |
| Twin: Personalized clinical trial digital twin generation T Das, Z Wang, J Sun Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
| PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications Z Wang, B Theodorou, T Fu, C Xiao, J Sun arXiv preprint arXiv:2306.04018, 2023 | 6* | 2023 |
| Lifelong learning based disease diagnosis on clinical notes Z Wang, Y Yang, R Wen, X Chen, SL Huang, Y Zheng Pacific-Asia Conference on Knowledge Discovery and Data Mining, 213-224, 2021 | 4 | 2021 |
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
