Subgraph Networks with Application to Structural Feature Space Expansion Q Xuan, J Wang, M Zhao, J Yuan, C Fu, Z Ruan, G Chen (TKDE 2021) IEEE Transactions on Knowledge and Data Engineering, 2021 | 62 | 2021 |
Learning Decomposed Representations for Treatment Effect Estimation A Wu, J Yuan, K Kuang, B Li, R Wu, Q Zhu, Y Zhuang, F Wu (TKDE 2023) IEEE Transactions on Knowledge and Data Engineering, 2023 | 59* | 2023 |
Black-box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN J Yuan, S Zhou, L Lin, F Wang, J Cui (ECAI 2020) European Conference on Artificial Intelligence, 2020 | 51 | 2020 |
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition J Yuan, A Wu, K Kuang, B Li, R Wu, F Wu, L Lin (TKDD 2022) ACM Transactions on Knowledge Discovery from Data, 2022 | 32 | 2022 |
CNN-based DGA Detection with High Coverage S Zhou, L Lin, J Yuan, F Wang, Z Ling, J Cui (ISI 2019) IEEE International Conference on Intelligence and Security …, 2019 | 28 | 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, ... (TMLR 2023) Transactions on Machine Learning Research, 2023 | 25* | 2023 |
Domain-Specific Bias Filtering for Single Labeled Domain Generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin (IJCV 2022) International Journal of Computer Vision, 2022 | 18 | 2022 |
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin (MM 2022) ACM International Conference on Multimedia, 2022 | 17 | 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 (TMM 2023) IEEE Transactions on Multimedia, 2023 | 15 | 2023 |
Universal Domain Adaptation via Compressive Attention Matching D Zhu, Y Li, J Yuan, Z Li, K Kuang, C Wu (ICCV 2023) International Conference on Computer Vision, 2023 | 14 | 2023 |
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization J Yuan, X Ma, D Chen, K Kuang, F Wu, L Lin (TKDE 2023) IEEE Transactions on Knowledge and Data Engineering, 2023 | 13 | 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 (ICCV 2023) International Conference on Computer Vision, 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, 2022 | 11 | 2022 |
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Y Tong, J Yuan, M Zhang, D Zhu, K Zhang, F Wu, K Kuang (SIGKDD 2023) ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 | 8 | 2023 |
Domain Generalization via Contrastive Causal Learning Q Miao, J Yuan, K Kuang arXiv preprint 2022, 2022 | 8 | 2022 |
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 (SIGKDD 2024) ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024 | 7 | 2024 |
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders J Yuan, X Ma, K Kuang, R Xiong, M Gong, L Lin (TKDD 2023) ACM Transactions on Knowledge Discovery from Data, 2023 | 6 | 2023 |
Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation Y Ma, H Liu, H Wang, H Pan, Y He, J Yuan, A Zeng, C Cai, HY Shum, ... arXiv preprint 2024, 2024 | 2 | 2024 |
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, ... (NeurIPS 2023) Advances in Neural Information Processing Systems, 2023 | 2 | 2023 |
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 (ICCV 2023) International Conference on Computer Vision, 2023 | 2 | 2023 |