| Deep belief networks based voice activity detection XL Zhang, J Wu IEEE Transactions on Audio, Speech, and Language Processing 21 (4), 697-710, 2012 | 444 | 2012 |
| A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films H Chen, K Zhang, P Lyu, H Li, L Zhang, J Wu, CH Lee Scientific reports 9 (1), 3840, 2019 | 385 | 2019 |
| Tensor graph convolutional networks for text classification X Liu, X You, X Zhang, J Wu, P Lv Proceedings of the AAAI conference on artificial intelligence 34 (05), 8409-8416, 2020 | 278 | 2020 |
| Multi-view graph contrastive representation learning for drug-drug interaction prediction Y Wang, Y Min, X Chen, J Wu Proceedings of the web conference 2021, 2921-2933, 2021 | 157 | 2021 |
| An effective teeth recognition method using label tree with cascade network structure K Zhang, J Wu, H Chen, P Lyu Computerized Medical Imaging and Graphics 68, 61-70, 2018 | 127 | 2018 |
| Study on a 3D Possion's equation slover based on deep learning technique T Shan, X Dang, M Li, F Yang, S Xu, J Wu 2018 IEEE International Conference on Computational Electromagnetics (ICCEM …, 2018 | 122 | 2018 |
| Rapid adaptation for deep neural networks through multi-task learning. Z Huang, J Li, SM Siniscalchi, IF Chen, J Wu, CH Lee Interspeech, 3625-3629, 2015 | 90 | 2015 |
| Study on a fast solver for Poisson’s equation based on deep learning technique T Shan, W Tang, X Dang, M Li, F Yang, S Xu, J Wu IEEE Transactions on Antennas and Propagation 68 (9), 6725-6733, 2020 | 77 | 2020 |
| Pick-and-learn: Automatic quality evaluation for noisy-labeled image segmentation H Zhu, J Shi, J Wu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 73 | 2019 |
| Denoising deep neural networks based voice activity detection XL Zhang, J Wu 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 72 | 2013 |
| Efficient multiple kernel support vector machine based voice activity detection J Wu, XL Zhang IEEE Signal Processing Letters 18 (8), 466-469, 2011 | 72 | 2011 |
| Medical exam question answering with large-scale reading comprehension X Zhang, J Wu, Z He, X Liu, Y Su Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 66 | 2018 |
| Tinyllava: A framework of small-scale large multimodal models B Zhou, Y Hu, X Weng, J Jia, J Luo, X Liu, J Wu, L Huang arXiv preprint arXiv:2402.14289, 2024 | 65 | 2024 |
| An ontology-driven, case-based clinical decision support model for removable partial denture design Q Chen, J Wu, S Li, P Lyu, Y Wang, M Li Scientific reports 6 (1), 27855, 2016 | 50 | 2016 |
| Fuzzy clustering and Bayesian information criterion based threshold estimation for robust voice activity detection Y Tian, J Wu, Z Wang, D Lu 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 41 | 2003 |
| GCN-BMP: Investigating graph representation learning for DDI prediction task X Chen, X Liu, J Wu Methods 179, 47-54, 2020 | 40 | 2020 |
| Automatic clinical target volume delineation for cervical cancer in CT images using deep learning J Shi, X Ding, X Liu, Y Li, W Liang, J Wu Medical Physics 48 (7), 3968-3981, 2021 | 39 | 2021 |
| Master clinical medical knowledge at certificated-doctor-level with deep learning model J Wu, X Liu, X Zhang, Z He, P Lv Nature communications 9 (1), 4352, 2018 | 38 | 2018 |
| Drug-drug interaction prediction with graph representation learning X Chen, X Liu, J Wu 2019 IEEE International conference on bioinformatics and biomedicine (BIBM …, 2019 | 37 | 2019 |
| Speech emotion recognition with i-vector feature and RNN model T Zhang, J Wu 2015 IEEE China Summit and International Conference on Signal and …, 2015 | 37 | 2015 |
Xien LiuTsinghua UniversityVerifierad e-postadress på mail.tsinghua.edu.cn
