| Adversarial domain adaptation with domain mixup M Xu, J Zhang, B Ni, T Li, C Wang, Q Tian, W Zhang Proceedings of the AAAI conference on artificial intelligence 34 (04), 6502-6509, 2020 | 486 | 2020 |
| Cross-domain detection via graph-induced prototype alignment M Xu, H Wang, B Ni, Q Tian, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 297 | 2020 |
| Self-supervised Graph-level Representation Learning with Local and Global Structure M Xu, H Wang, B Ni, H Guo, J Tang International Conference on Machine Learning. PMLR, 2021. 139, 11548--11558, 2021 | 250 | 2021 |
| Protein representation learning by geometric structure pretraining Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano, P Das, ... arXiv preprint arXiv:2203.06125, 2022 | 236 | 2022 |
| Learning context graph for person search Y Yan, Q Zhang, B Ni, W Zhang, M Xu, X Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 232 | 2019 |
| Variational few-shot learning J Zhang, C Zhao, B Ni, M Xu, X Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 193 | 2019 |
| Learning to combine: Knowledge aggregation for multi-source domain adaptation H Wang, M Xu, B Ni, W Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 142 | 2020 |
| Protst: Multi-modality learning of protein sequences and biomedical texts M Xu, X Yuan, S Miret, J Tang International Conference on Machine Learning, 38749-38767, 2023 | 113 | 2023 |
| Peer: a comprehensive and multi-task benchmark for protein sequence understanding M Xu, Z Zhang, J Lu, Z Zhu, Y Zhang, M Chang, R Liu, J Tang Advances in Neural Information Processing Systems 35, 35156-35173, 2022 | 100 | 2022 |
| Hcsc: Hierarchical contrastive selective coding Y Guo, M Xu, J Li, B Ni, X Zhu, Z Sun, Y Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 94 | 2022 |
| Torchdrug: A powerful and flexible machine learning platform for drug discovery Z Zhu, C Shi, Z Zhang, S Liu, M Xu, X Yuan, Y Zhang, J Chen, H Cai, J Lu, ... arXiv preprint arXiv:2202.08320, 2022 | 86 | 2022 |
| Cross-category video highlight detection via set-based learning M Xu, H Wang, B Ni, R Zhu, Z Sun, C Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 59 | 2021 |
| Pit: Position-invariant transform for cross-fov domain adaptation Q Gu, Q Zhou, M Xu, Z Feng, G Cheng, X Lu, J Shi, L Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 44 | 2021 |
| Enhancing protein language model with structure-based encoder and pre-training Z Zhang, M Xu, A Lozano, V Chenthamarakshan, P Das, J Tang ICLR 2023-Machine Learning for Drug Discovery workshop, 2023 | 36 | 2023 |
| Payel Das, and Jian Tang Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano Protein structure representation learning by geometric pretraining, 2022 | 33 | 2022 |
| Graphical modeling for multi-source domain adaptation M Xu, H Wang, B Ni IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1727-1741, 2022 | 23 | 2022 |
| A systematic study of joint representation learning on protein sequences and structures Z Zhang, C Wang, M Xu, V Chenthamarakshan, A Lozano, P Das, J Tang arXiv preprint arXiv:2303.06275, 2023 | 21 | 2023 |
| A roadmap for big model S Yuan, H Zhao, S Zhao, J Leng, Y Liang, X Wang, J Yu, X Lv, Z Shao, ... arXiv preprint arXiv:2203.14101, 2022 | 21 | 2022 |
| Fine-grained video captioning via graph-based multi-granularity interaction learning Y Yan, N Zhuang, B Ni, J Zhang, M Xu, Q Zhang, Z Zhang, S Cheng, ... IEEE transactions on pattern analysis and machine intelligence 44 (2), 666-683, 2019 | 21 | 2019 |
| Pre-training protein encoder via siamese sequence-structure diffusion trajectory prediction Z Zhang, M Xu, AC Lozano, V Chenthamarakshan, P Das, J Tang Advances in Neural Information Processing Systems 36, 43496-43524, 2023 | 20 | 2023 |
Zuobai ZhangQuebec AI Institute (Mila)Verified email at umontreal.ca
