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Jiangmeng Li
Jiangmeng Li
Institute of Software, Chinese Academy of Science
在 iscas.ac.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A molecular multimodal foundation model associating molecule graphs with natural language
B Su, D Du, Z Yang, Y Zhou, J Li, A Rao, H Sun, Z Lu, JR Wen
arXiv preprint arXiv:2209.05481, 2022
222022
Metaug: Contrastive learning via meta feature augmentation
J Li, W Qiang, C Zheng, B Su, H Xiong
International Conference on Machine Learning (ICML), Spotlight, 12964-12978, 2022
222022
Robust local preserving and global aligning network for adversarial domain adaptation
W Qiang*, J Li*, C Zheng, B Su, H Xiong
IEEE Transactions on Knowledge and Data Engineering, 2021
202021
Interventional Contrastive Learning with Meta Semantic Regularizer
W Qiang*, J Li*, C Zheng, B Su, H Xiong
International Conference on Machine Learning (ICML), Spotlight, 18018-18030, 2022
182022
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
Y Jin*, J Li*, Z Lian, C Jiao, X Hu
International Conference on Computational Linguistics (COLING), Oral, 2022
162022
Meta attention-generation network for cross-granularity few-shot learning
W Qiang*, J Li*, B Su, J Fu, H Xiong, JR Wen
International Journal of Computer Vision 131 (5), 1211-1233, 2023
122023
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su ...
Neural Information Processing Systems (NeurIPS), Spotlight, 2022
11*2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
H Gao*, J Li*, W Qiang, L Si, C Zheng, F Sun
International Joint Conference on Artificial Intelligence (IJCAI), 2022
92022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu ...
AAAI Conference on Artificial Intelligence (AAAI), 2023
8*2023
RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding
J Li, W Qiang, C Zheng, B Su
Knowledge-Based Systems 241, 108201, 2022
82022
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation
W Qiang, J Li, C Zheng, B Su
Knowledge-Based Systems 223, 107066, 2021
82021
Supporting vision-language model inference with causality-pruning knowledge prompt
J Li, W Mo, W Qiang, B Su, C Zheng
arXiv preprint arXiv:2205.11100, 2022
72022
Robust Causal Graph Representation Learning against Confounding Effects
Hang Gao*, Jiangmeng Li*, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng ...
AAAI Conference on Artificial Intelligence (AAAI), Oral, 2023
6*2023
Weight-aware graph contrastive learning
H Gao, J Li, P Qiao, C Zheng
International Conference on Artificial Neural Networks, 719-730, 2022
42022
Modeling multiple views via implicitly preserving global consistency and local complementarity
J Li, W Qiang, C Zheng, B Su, F Razzak, JR Wen, H Xiong
IEEE Transactions on Knowledge and Data Engineering, 2022
32022
Short text clustering with a deep multi-embedded self-supervised model
K Zhang, Z Lian, J Li, H Li, X Hu
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
22021
Rethinking Causal Relationships Learning in Graph Neural Networks
H Gao, C Yao, J Li, L Si, Y Jin, F Wu, C Zheng, H Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12145 …, 2024
12024
Multi-view representation learning from local consistency and global alignment
L Si, W Qiang, J Li, F Xu, F Sun
Neurocomputing 501, 727-740, 2022
12022
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
Q Ji, J Li, J Hu, R Wang, C Zheng, F Xu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12810 …, 2024
2024
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
J Li, Y Jin, H Gao, W Qiang, C Zheng, F Sun
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13518 …, 2024
2024
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