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Minghao Xu
Minghao Xu
Mila - Quebec AI Institute
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
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
4032020
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
2262020
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
2032019
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
1592021
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
1582019
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
1182022
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
1122020
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
572022
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
562022
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
382022
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
362021
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
332023
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
252021
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
182019
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
172022
Joint modeling of visual objects and relations for scene graph generation
M Xu, M Qu, B Ni, J Tang
Advances in Neural Information Processing Systems 34, 7689-7702, 2021
162021
Graphical modeling for multi-source domain adaptation
M Xu, H Wang, B Ni
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
132022
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
122023
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, 2024
112024
Cross-domain detection via graph-induced prototype alignment. In 2020 IEEE
M Xu, H Wang, B Ni, Q Tian, W Zhang
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12352-12361, 2020
72020
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