| 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 | 685 | 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 | 134 | 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 | 71 | 2019 |
| Deep Reinforcement Learning H Dong, H Dong, Z Ding, S Zhang, Chang Springer Singapore, 2020 | 69 | 2020 |
| 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 | 45 | 2017 |
| 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 International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 32 | 2018 |
| 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 | 25 | 2018 |
| 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 | 24 | 2019 |
| 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 | 6 | 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 | 4 | 2017 |
| 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 | 3 | 2019 |
| Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases J Zhang, L Bolanos, A Tanwar, A Sokol, J Ive, V Gupta, Y Guo arXiv preprint arXiv:2107.11665, 2021 | 2 | 2021 |
| Introduction to deep learning J Zhang, H Yuan, H Dong Deep reinforcement learning, 3-46, 2020 | 2 | 2020 |
| Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge A Tanwar, J Zhang, J Ive, V Gupta, Y Guo The 6th International Workshop on Health Intelligence (W3PHIAI-22), 2022 | 1 | 2022 |
| Automating Question-and-Answer Session Capture using Neural Networks YGZ Wei, J Zhang 2019 KDD Workshop on Deep Learning for Education, DL4Ed, 2019 | 1 | 2019 |
| Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint HY Wu, J Zhang, J Ive, T Li, N Tabari, B Chen, V Gupta, Y Guo arXiv preprint arXiv:2205.12368, 2022 | | 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 | | 2022 |
| TensorDB: Database Infrastructure for Continuous Machine Learning F Liu, A Oehmichen, J Zhang, K Sun, H Dong, Y Mo, Y Guo Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2017 | | 2017 |
Yike GuoProfessor of Computing Science , Imperial College LondonVerified email at doc.ic.ac.uk
