| 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 | 24 | 2022 |
| 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 | 22 | 2022 |
| 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 | 20 | 2021 |
| 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 | 18 | 2022 |
| 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 | 17 | 2022 |
| 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 | 12 | 2023 |
| 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 | 10 | 2022 |
| 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 | 9* | 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 | 8 | 2022 |
| 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 | 8 | 2021 |
| 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 | 7 | 2022 |
| 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 | 4 | 2022 |
| 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 | 4 | 2022 |
| 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 | 3 | 2021 |
| 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 | 1 | 2024 |
| Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering Y Guo, Z Zang, H Gao, X Xu, R Wang, L Liu, J Li Knowledge-Based Systems 284, 111225, 2024 | 1 | 2024 |
| 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 | 1 | 2022 |
| Introducing diminutive causal structure into graph representation learning H Gao, P Qiao, Y Jin, F Wu, J Li, C Zheng Knowledge-Based Systems 293, 111592, 2024 | | 2024 |
Changwen Zheng中国科学院软件研究所Verified email at iscas.ac.cn
