| Predicting Alzheimers Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging J Guo, W Qiu, X Li, X Zhao, N Guo, Q Li 2019 IEEE International Conference on Big Data (Big Data), 5359-5363, 2019 | 22 | 2019 |
| An optimal reduction of tv-denoising to adaptive online learning D Baby, X Zhao, YX Wang AISTATS 2021, 2021 | 5 | 2021 |
| Provably Confidential Language Modelling X Zhao, L Li, YX Wang NAACL 2022, 2022 | 2 | 2022 |
| Multi-Size Computer-Aided Diagnosis of Positron Emission Tomography Images Using Graph Convolutional Networks X Zhao, X Li, N Guo, Z Zhou, X Meng, Q Li IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 837-840, 2019 | 2 | 2019 |
| Pre-trained Language Models can be Fully Zero-Shot Learners X Zhao, S Ouyang, Z Yu, M Wu, L Li arXiv preprint arXiv:2212.06950, 2022 | 1 | 2022 |
| A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning X Zhao, J Xue, J Yu, X Li, H Yang arXiv preprint arXiv:2007.11380, 2020 | 1 | 2020 |
| Distillation-Resistant Watermarking for Model Protection in NLP X Zhao, L Li, YX Wang Findings of EMNLP 2022, 2022 | | 2022 |
| Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation X Zhao, Z Yu, M Wu, L Li Findings of ACL 2022, 2022 | | 2022 |
| Supplementary Material for: An Optimal Reduction of TV-Denoising to Adaptive Online Learning D Baby, X Zhao, YX Wang | | |
Quanzheng LiMassachusetts General Hospital, Harvard Medical Schoolmgh.harvard.edu의 이메일 확인됨
