| Subgraph networks with application to structural feature space expansion Q Xuan, J Wang, M Zhao, J Yuan, C Fu, Z Ruan, G Chen IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 | 59 | 2021 |
| Learning decomposed representations for treatment effect estimation A Wu, J Yuan, K Kuang, B Li, R Wu, Q Zhu, YT Zhuang, F Wu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 54* | 2022 |
| Black-box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN J Yuan, S Zhou, L Lin, F Wang, J Cui European Conference on Artificial Intelligence (ECAI), 2020 | 47 | 2020 |
| Auto iv: Counterfactual prediction via automatic instrumental variable decomposition J Yuan, A Wu, K Kuang, B Li, R Wu, F Wu, L Lin ACM Transactions on Knowledge Discovery from Data (TKDD), 2022 | 30 | 2022 |
| CNN-based DGA detection with high coverage S Zhou, L Lin, J Yuan, F Wang, Z Ling, J Cui IEEE International Conference on Intelligence and Security Informatics (ISI …, 2019 | 27 | 2019 |
| Cae v2: Context autoencoder with clip target X Zhang, J Chen, J Yuan, Q Chen, J Wang, X Wang, S Han, X Chen, J Pi, ... Transactions on Machine Learning Research (TMLR), 2023 | 22 | 2023 |
| Domain-specific bias filtering for single labeled domain generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin International Journal of Computer Vision (IJCV), 2023 | 17 | 2023 |
| Instrumental Variable-Driven Domain Generalization with Unobserved Confounders J Yuan, X Ma, K Kuang, R Xiong, M Gong, L Lin ACM Transactions on Knowledge Discovery from Data (TKDD), 2023 | 16* | 2023 |
| Label-Efficient Domain Generalization via Collaborative Exploration and Generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin ACM International Conference on Multimedia (MM), 2022 | 16 | 2022 |
| Knowledge Distillation-based Domain-invariant Representation Learning for Domain Generalization Z Niu, J Yuan, X Ma, Y Xu, J Liu, YW Chen, R Tong, L Lin IEEE Transactions on Multimedia (TMM), 2023 | 12 | 2023 |
| Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 | 12 | 2023 |
| Attention-based cross-layer domain alignment for unsupervised domain adaptation X Ma, J Yuan, Y Chen, R Tong, L Lin Neurocomputing, 2022 | 11 | 2022 |
| Universal domain adaptation via compressive attention matching D Zhu, Y Li, J Yuan, Z Li, K Kuang, C Wu International Conference on Computer Vision (ICCV), 2023 | 10 | 2023 |
| MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters M Zhang, J Yuan, Y He, W Li, Z Chen, K Kuang International Conference on Computer Vision (ICCV), 2023 | 10 | 2023 |
| Domain generalization via contrastive causal learning Q Miao, J Yuan, K Kuang arXiv preprint, 2022 | 8 | 2022 |
| HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception J Yuan, X Zhang, H Zhou, J Wang, Z Qiu, Z Shao, S Zhang, S Long, ... Advances in Neural Information Processing Systems (NeurIPS), 2023 | 5 | 2023 |
| Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Y Tong, J Yuan, M Zhang, D Zhu, K Zhang, F Wu, K Kuang Conference on Knowledge Discovery and Data Mining (KDD), 2023 | 5 | 2023 |
| Bridging the gap: neural collapse inspired prompt tuning for generalization under class imbalance D Zhu, Y Li, M Zhang, J Yuan, J Liu, K Kuang, C Wu arXiv preprint, 2023 | 4 | 2023 |
| Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data Q Miao, J Yuan, S Zhang, F Wu, K Kuang International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2024 | | 2024 |
| Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models S Long, Z Zhao, J Yuan, Z Tan, J Liu, L Zhou, S Wang, J Wang International Conference on Computer Vision (ICCV), 2023 | | 2023 |
Kun KuangZhejiang UniversityVerified email at zju.edu.cn
