Követés
Minghao Xu
Minghao Xu
Peking University, Mila - Quebec AI Institute
E-mail megerősítve itt: mila.quebec - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
4862020
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
2972020
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
2512021
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
2362022
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
2322019
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
1932019
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
1422020
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
1132023
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
1002022
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
942022
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
872022
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
592021
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
442021
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
362023
Payel Das, and Jian Tang
Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano
Protein structure representation learning by geometric pretraining, 2022
332022
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
232022
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
212023
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
212022
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
212019
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
202023
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