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 | 1092 | 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 | 443 | 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 | 202 | 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 | 163* | 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 | 99 | 2023 |
Parameter-efficient Fine-tuning for Vision Transformers X He, C Li, P Zhang, J Yang, XE Wang AAAI 2023, 2022 | 91* | 2022 |
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 | 57 | 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 | 55* | 2021 |
Minigpt-5: Interleaved vision-and-language generation via generative vokens K Zheng, X He, XE Wang arXiv preprint arXiv:2310.02239, 2023 | 43 | 2023 |
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 | 19 | 2022 |
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 | 17 | 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 | 13 | 2020 |
ComCLIP: Training-Free Compositional Image and Text Matching K Jiang, X He, R Xu, XE Wang NAACL 2024, 2022 | 9 | 2022 |
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 | 6 | 2023 |
Multimodal Graph Transformer for Multimodal Question Answering X He, XE Wang EACL 2023, 2023 | 6 | 2023 |
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, ... arXiv preprint arXiv:2305.10722, 2023 | 4 | 2023 |
Improve the performance of CT-based pneumonia classification via source data reweighting P Xie, X Zhao, X He Scientific Reports. Nature Portfolio, 2023 | 3 | 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 |
Learned Turbo Message Passing for Affine Rank Minimization and Compressed Robust Principal Component Analysis X He, Z Xue, X Yuan IEEE Access 7, 140606-140617, 2019 | 3 | 2019 |
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 | 2 | 2024 |