| Covid-ct-dataset: a ct scan dataset about covid-19 X Yang, X He, J Zhao, Y Zhang, S Zhang, P Xie arXiv preprint arXiv:2003.13865, 2020 | 1165 | 2020 |
| Sample-efficient deep learning for COVID-19 diagnosis based on CT scans X He, X Yang, S Zhang, J Zhao, Y Zhang, E Xing, P Xie medrxiv, 2020.04. 13.20063941, 2020 | 459 | 2020 |
| Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis W Feng, X He, TJ Fu, V Jampani, A Arjun, N Pradyumna, B Sugato, ... ICLR 2023, 2022 | 290 | 2022 |
| Towards Visual Question Answering on Pathology Images X He, Z Cai, W Wei, Y Zhang, L Mou, E Xing, P Xie ACL 2022, 2021 | 274* | 2021 |
| LayoutGPT: Compositional Visual Planning and Generation with Large Language Models W Feng, W Zhu, T Fu, V Jampani, A Akula, X He, S Basu, XE Wang, ... NeurIPS 2023, 2023 | 181 | 2023 |
| Parameter-efficient Fine-tuning for Vision Transformers X He, C Li, P Zhang, J Yang, XE Wang AAAI 2023, 2022 | 139* | 2022 |
| Minigpt-5: Interleaved vision-and-language generation via generative vokens K Zheng, X He, XE Wang arXiv preprint arXiv:2310.02239, 2023 | 82 | 2023 |
| Transfer learning or self-supervised learning? A tale of two pretraining paradigms X Yang, X He, Y Liang, Y Yang, S Zhang, P Xie arXiv preprint arXiv:2007.04234, 2020 | 69* | 2020 |
| On the generation of medical dialogs for COVID-19 M Zhou, Z Li, B Tan, G Zeng, W Yang, X He, Z Ju, S Chakravorty, S Chen, ... ACL 2022, 2021 | 67* | 2021 |
| Jarvis: A neuro-symbolic commonsense reasoning framework for conversational embodied agents K Zheng, K Zhou, J Gu, Y Fan, J Wang, Z Di, X He, XE Wang SoCalNLP 2022, 2022 | 30 | 2022 |
| CPL: Counterfactual Prompt Learning for Vision and Language Models X He, D Yang, W Feng, TJ Fu, A Akula, V Jampani, P Narayana, S Basu, ... EMNLP 2022, 2022 | 26 | 2022 |
| MedDialog: Two Large-scale Medical Dialogue Datasets X He, S Chen, Z Ju, X Dong, H Fang, S Wang, Y Yang, J Zeng, R Zhang, ... arXiv preprint arXiv:2004.03329, 2020 | 17 | 2020 |
| ComCLIP: Training-Free Compositional Image and Text Matching K Jiang, X He, R Xu, XE Wang NAACL 2024, 2022 | 15 | 2022 |
| Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA Q Yan, X He, X Yue, XE Wang arXiv preprint arXiv:2405.20421, 2024 | 8 | 2024 |
| Multimodal Graph Transformer for Multimodal Question Answering X He, XE Wang EACL 2023, 2023 | 8 | 2023 |
| Mastering robot manipulation with multimodal prompts through pretraining and multi-task fine-tuning J Li, Q Gao, M Johnston, X Gao, X He, S Shakiah, H Shi, R Ghanadan, ... ICML 2024, 2023 | 7 | 2023 |
| MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos X He, W Feng, K Zheng, Y Lu, W Zhu, J Li, Y Fan, J Wang, L Li, Z Yang, ... ICLR 2025, 2024 | 6 | 2024 |
| Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners X He, W Feng, TJ Fu, V Jampani, A Akula, P Narayana, S Basu, WY Wang, ... Transactions on Machine Learning Research (TMLR), 2023 | 6 | 2023 |
| Improve the performance of CT-based pneumonia classification via source data reweighting P Xie, X Zhao, X He Scientific Reports. Nature Portfolio, 2023 | 5 | 2023 |
| Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms T Gupta, X He, MR Uddin, X Zeng, A Zhou, J Zhang, Z Freyberg, M Xu Frontiers in Physiology, 1757, 2021 | 3 | 2021 |
