| PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization J Zhang, Y Zhao, M Saleh, PJ Liu International Conference on Machine Learning, 11328--11339, 2020 | 2363 | 2020 |
| Deep Reinforcement Learning H Dong, Z Ding, S Zhang, H Yuan, H Zhang, J Zhang, Y Huang, T Yu, ... Springer Singapore, 2020 | 311 | 2020 |
| Deep Sequence Learning with Auxiliary Information for Traffic Prediction B Liao, J Zhang, C Wu, D McIlwraith, T Chen, S Yang, Y Guo, F Wu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 252 | 2018 |
| Integrating Semantic Knowledge to Tackle Zero-shot Text Classification J Zhang, P Lertvittayakumjorn, Y Guo Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 154 | 2019 |
| Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification X Zhang, J Zhang, K Sun, X Yang, C Dai, Y Guo 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019 | 89 | 2019 |
| I2T2I: Learning text to image synthesis with textual data augmentation H Dong, J Zhang, D McIlwraith, Y Guo International Conference on Image Processing 2017 (ICIP), 2017 | 74 | 2017 |
| Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction B Liao, J Zhang, M Cai, S Tang, Y Gao, C Wu, S Yang, W Zhu, Y Guo, ... Proceedings of the 2018 ACM on Multimedia Conference, 2018 | 42 | 2018 |
| The deep poincaré map: A novel approach for left ventricle segmentation Y Mo, F Liu, D McIlwraith, G Yang, J Zhang, T He, Y Guo Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 37 | 2018 |
| The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant J Zhang, K Sun, A Jagadeesh, M Ghahfarokhi, D Gupta, A Gupta, V Gupta, ... arXiv preprint arXiv:2307.08152, 2023 | 26 | 2023 |
| Introduction to deep learning J Zhang, H Yuan, H Dong Deep Reinforcement Learning: Fundamentals, Research, and Applications, 3-46, 2020 | 25 | 2020 |
| Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case J Zhang, L Bolanos, T Li, A Tanwar, G Freire, X Yang, J Ive, V Gupta, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 17 | 2021 |
| Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records J Zhang, X Zhang, K Sun, X Yang, C Dai, Y Guo 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019 | 7 | 2019 |
| Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use J Zhang, LDB Trujillo, A Tanwar, J Ive, V Gupta, Y Guo BMJ Health & Care Informatics 29 (1), 2022 | 5 | 2022 |
| Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge A Tanwar, J Zhang, J Ive, V Gupta, Y Guo Multimodal AI in Healthcare, 11--28, 2023 | 4 | 2023 |
| Medical scientific table-to-text generation with human-in-the-loop under the data sparsity constraint HY Wu, J Zhang, J Ive, T Li, V Gupta, B Chen, Y Guo arXiv preprint arXiv:2205.12368, 2022 | 3 | 2022 |
| A scalable workflow to build machine learning classifiers with clinician-in-the-loop to identify patients in specific diseases J Zhang, A Sharma, L Bolanos, T Li, A Tanwar, V Gupta, Y Guo arXiv preprint arXiv:2205.08891, 2022 | 3 | 2022 |
| Clinical utility of the automatic phenotype annotation in unstructured clinical notes: ICU use cases J Zhang, L Bolanos, A Tanwar, J Ive, V Gupta, Y Guo arXiv preprint arXiv:2107.11665, 2021 | 3 | 2021 |
| Deep poincaré map for robust medical image segmentation Y Mo, F Liu, J Zhang, G Yang, T He, Y Guo arXiv preprint arXiv 1703, 2017 | 3 | 2017 |
| Automating question-and-answer session capture using neural networks YGZ Wei, J Zhang 2019 KDD workshop on deep learning for education, DL4ed, 2019 | 2 | 2019 |
| Medical Scientific Table-to-Text Generation with Synthetic Data under Data Sparsity Constraint HY Wu, J Zhang, J Ive, T Li, V Gupta, B Chen, Y Guo NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 1 | 2022 |
Yike GuoDept of CSE, The Hong Kong University of Science and TechnologyE-mail megerősítve itt: ust.hk