Consensus-Based Distributed Kernel One-Class Support Vector Machine for Anomaly Detection T Wang, F He, R Yang, Z Ye, X Huang 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature R Yang, F He, M He, J Yang, X Huang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 3 | 2024 |
Remaining-Data-Free Machine Unlearning by Suppressing Sample Contribution X Cheng, Z Huang, W Zhou, Z He, R Yang, Y Wu, X Huang arXiv preprint arXiv:2402.15109, 2024 | 3* | 2024 |
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints F He, R Yang, L Shi, X Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 2 | 2025 |
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method R Yang, F He, M He, K Wang, X Huang arXiv preprint arXiv:2405.07800, 2024 | 2* | 2024 |
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes R Yang, M He, Z He, Y Qiu, X Huang arXiv preprint arXiv:2410.08557, 2024 | 1 | 2024 |
Diffusion Representation for Asymmetric Kernels via Magnetic Transform M He, F He, R Yang, X Huang Advances in Neural Information Processing Systems 36, 53742-53761, 2023 | 1 | 2023 |
通信中接收端的同步处理及在 PlutoSDR 上的实现. 张翠翠, 杨睿恺, 张莹, 徐静 Experimental Technology & Management 38 (11), 2021 | 1 | 2021 |
Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks H Tian, Y Liu, M He, Z He, Z Huang, R Yang, X Huang The Thirteenth International Conference on Learning Representations, 0 | | |
Primphormer: Leveraging Primal Representation for Graph Transformers M He, R Yang, H Tian, Y Qiu, X Huang | | |