| Deep-RBPPred: Predicting RNA binding proteins in the proteome scale based on deep learning J Zheng, X Zhang, X Zhao, X Tong, X Hong, J Xie, S Liu Scientific reports 8 (1), 15264, 2018 | 51 | 2018 |
| Survey on Efficient Training of Large Neural Networks. J Gusak, D Cherniuk, A Shilova, A Katrutsa, D Bershatsky, X Zhao, ... IJCAI, 5494-5501, 2022 | 8 | 2022 |
| Survey on large scale neural network training J Gusak, D Cherniuk, A Shilova, A Katrutsa, D Bershatsky, X Zhao, ... arXiv preprint arXiv:2202.10435, 2022 | 7 | 2022 |
| Mitigate SIR epidemic spreading via contact blocking in temporal networks S Zhang, X Zhao, H Wang Applied network science 7 (1), 2, 2022 | 7 | 2022 |
| Weight Offloading Strategies for Training Large DNN Models O Beaumont, L Eyraud-Dubois, A Shilova, X Zhao | 1 | 2022 |
| Suppressing epidemic spreading via contact blocking in temporal networks X Zhao, H Wang International Conference on Complex Networks and Their Applications, 444-454, 2020 | 1 | 2020 |
| Rockmate: an efficient, fast, automatic and generic tool for re-materialization in pytorch X Zhao, T Le Hellard, L Eyraud-Dubois, J Gusak, O Beaumont International Conference on Machine Learning, 42018-42045, 2023 | | 2023 |
| H-Rockmate: Hierarchical Approach for Efficient Re-materialization of Large Neural Networks J Gusak, X Zhao, T Le Hellard, Z Li, L Eyraud-Dubois, O Beaumont | | 2023 |
