| Matryoshka Representation Learning for Recommendation R Lai, L Chen, W Chen, R Chen arXiv preprint arXiv:2406.07432, 2024 | | 2024 |
| Parallel Dual-Branch Fusion Network for Epileptic Seizure Prediction H Ma, Y Wu, Y Tang, R Chen, T Xu, W Zhang Computers in Biology and Medicine 176, 108565, 2024 | | 2024 |
| SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation C Zhang, Q Han, R Chen, X Zhao, P Tang, H Song arXiv preprint arXiv:2403.04278, 2024 | | 2024 |
| Adaptive-weighted deep multi-view clustering with uniform scale representation R Chen, Y Tang, W Zhang, W Feng Neural Networks 171, 114-126, 2024 | 1 | 2024 |
| LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario H Liu, Z Liu, R Tang, J Yuan, S Zhong, YN Chuang, L Li, R Chen, X Hu arXiv preprint arXiv:2403.00108, 2024 | | 2024 |
| Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach ZS Jiang, X Han, H Jin, G Wang, R Chen, N Zou, X Hu Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning Over Mobile Devices Y Li, X Qin, J Geng, R Chen, Y Hou, Y Gong, M Pan, P Zhang IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| Indirect estimation of pediatric reference interval via density graph deep embedded clustering J Zheng, Y Tang, X Peng, J Zhao, R Chen, R Yan, Y Peng, W Zhang Computers in Biology and Medicine 169, 107852, 2024 | | 2024 |
| Adaptive hardness negative sampling for collaborative filtering R Lai, R Chen, Q Han, C Zhang, L Chen arXiv preprint arXiv:2401.05191, 2024 | 4 | 2024 |
| M3Rec: A Context-aware Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation Y Wang, Y Ge, Z Li, L Li, R Chen ACM Transactions on Information Systems, 2024 | | 2024 |
| Setting the trap: Capturing and defeating backdoors in pretrained language models through honeypots RR Tang, J Yuan, Y Li, Z Liu, R Chen, X Hu Advances in Neural Information Processing Systems 36, 73191-73210, 2023 | 4 | 2023 |
| Deep Graph Clustering Network for Phytopathology Image Recognition R Chen, Y Tang, G Wu, W Zhang 2023 5th International Academic Exchange Conference on Science and …, 2023 | | 2023 |
| DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions H Su, P Prakash, R Chen, Y Gong, R Yu, X Fu, M Pan GLOBECOM 2023-2023 IEEE Global Communications Conference, 5262-5267, 2023 | | 2023 |
| Double wins: Boosting accuracy and efficiency of graph neural networks by reliable knowledge distillation Q Tan, D Zha, N Liu, SH Choi, L Li, R Chen, X Hu 2023 IEEE International Conference on Data Mining (ICDM), 1343-1348, 2023 | 5 | 2023 |
| Graph Structure Aware Contrastive Multi-View Clustering R Chen, Y Tang, X Cai, X Yuan, W Feng, W Zhang IEEE Transactions on Big Data, 2023 | 2 | 2023 |
| Augmented Negative Sampling for Collaborative Filtering Y Zhao, R Chen, R Lai, Q Han, H Song, L Chen Proceedings of the 17th ACM Conference on Recommender Systems, 256-266, 2023 | 5 | 2023 |
| Machine learning with instance-dependent label noise Z Jiang, K Zhou, LIU Zirui, L Li, R Chen, C Soo-Hyun, X Hu US Patent App. 17/972,302, 2023 | | 2023 |
| Trajectory data collection with local differential privacy Y Zhang, Q Ye, R Chen, H Hu, Q Han arXiv preprint arXiv:2307.09339, 2023 | 3 | 2023 |
| Adaptive riskaware bidding with budget constraint in display advertising Z Jiang, K Zhou, M Zhang, R Chen, X Hu, SH Choi ACM SIGKDD Explorations Newsletter 25 (1), 73-82, 2023 | 2 | 2023 |
| HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation R Chen, G Liang, C Ma, Q Han, L Li, X Huang 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
Benjamin C. M. FungCanada Research Chair & Professor, School of Information Studies, McGill University在 mcgill.ca 的电子邮件经过验证
