| How does disagreement help generalization against label corruption? X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama International Conference on Machine Learning, 2019 | 1150 | 2019 |
| DeepInception: Hypnotize large language model to be jailbreaker X Li, Z Zhou, J Zhu, J Yao, T Liu, B Han NeurIPS Safe Generative AI Workshop, 2024 | 331 | 2024 |
| Masking: A new perspective of noisy supervision B Han*, J Yao*, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama Advances in Neural Information Processing Systems, 5836-5846, 2018 | 322 | 2018 |
| Sparse-interest network for sequential recommendation Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu Proceedings of the 14th ACM international conference on web search and data …, 2021 | 199 | 2021 |
| Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ... IEEE Transactions on Knowledge and Data Engineering, 2022 | 193 | 2022 |
| Deep learning from noisy image labels with quality embedding J Yao, J Wang, IW Tsang, Y Zhang, J Sun, C Zhang, R Zhang IEEE Transactions on Image Processing 28 (4), 1909-1922, 2018 | 174 | 2018 |
| Learning on Attribute-Missing Graphs X Chen, S Chen, J Yao, H Zheng, Y Zhang, IW Tsang IEEE transactions on pattern analysis and machine intelligence, 2020 | 170 | 2020 |
| Federated domain generalization with generalization adjustment R Zhang, Q Xu, J Yao, Y Zhang, Q Tian, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 151 | 2023 |
| Reliable Adversarial Distillation with Unreliable Teachers J Zhu, J Yao, B Han, J Zhang, T Liu, G Niu, J Zhou, J Xu, H Yang International Conference on Learning Representation, 2022 | 114 | 2022 |
| Class-Balancing Diffusion Models Y Qin, H Zheng, J Yao, M Zhou, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 92 | 2023 |
| Device-Cloud Collaborative Learning for Recommendation J Yao, F Wang, KY Jia, B Han, J Zhou, H Yang KDD 2021, 2021 | 74 | 2021 |
| Safeguarded dynamic label regression for noisy supervision J Yao, H Wu, Y Zhang, IW Tsang, J Sun Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9103-9110, 2019 | 70 | 2019 |
| Collaborative learning for weakly supervised object detection J Wang, J Yao, Y Zhang, R Zhang IJCAI, 2018 | 60 | 2018 |
| ReMamber: Referring Image Segmentation with Mamba Twister Y Yang, C Ma, J Yao, Z Zhong, Y Zhang, Y Wang European Conference on Computer Vision, 2024 | 58 | 2024 |
| CogKR: cognitive graph for multi-hop knowledge reasoning Z Du, C Zhou, J Yao, T Tu, L Cheng, H Yang, J Zhou, J Tang IEEE Transactions on Knowledge and Data Engineering, 2021 | 53 | 2021 |
| Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation J Zhu, G Yu, J Yao, T Liu, G Niu, M Sugiyama, B Han Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 51 | 2023 |
| Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation F Zhang, T Zhou, B Li, H He, C Ma, T Zhang, J Yao, Y Zhang, Y Wang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 46 | 2023 |
| Bayes embedding (bem) refining representation by integrating knowledge graphs and behavior-specific networks Y Ye, X Wang, J Yao, K Jia, J Zhou, Y Xiao, H Yang Proceedings of the 28th ACM international conference on information and …, 2019 | 46 | 2019 |
| Contrastive Learning with Boosted Memorization Z Zhou, J Yao, Y Wang, B Han, Y Zhang International Conference on Machine Learning, 2022 | 44 | 2022 |
| Long-Tailed Partial Label Learning via Dynamic Rebalancing F Hong, J Yao, Z Zhou, Y Zhang, Y Wang International Conference on Learning Representation, 2023 | 42 | 2023 |
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
