| Distilled one-shot federated learning Y Zhou, G Pu, X Ma, X Li, D Wu arXiv preprint arXiv:2009.07999, 2020 | 115 | 2020 |
| A batch normalized inference network keeps the KL vanishing away Q Zhu, J Su, W Bi, X Liu, X Ma, X Li, D Wu arXiv preprint arXiv:2004.12585, 2020 | 70 | 2020 |
| Improving question generation with sentence-level semantic matching and answer position inferring X Ma, Q Zhu, Y Zhou, X Li Proceedings of the AAAI conference on artificial intelligence 34 (05), 8464-8471, 2020 | 62 | 2020 |
| Beyond class-level privacy leakage: Breaking record-level privacy in federated learning X Yuan, X Ma, L Zhang, Y Fang, D Wu IEEE Internet of Things Journal 9 (4), 2555-2565, 2021 | 21 | 2021 |
| Adaptive leader-follower formation control and obstacle avoidance via deep reinforcement learning Y Zhou, F Lu, G Pu, X Ma, R Sun, HY Chen, X Li 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 18 | 2019 |
| Statistical learning for semantic parsing: A survey Q Zhu, X Ma, X Li Big Data Mining and Analytics 2 (4), 217-239, 2019 | 14 | 2019 |
| Communication-efficient and attack-resistant federated edge learning with dataset distillation Y Zhou, X Ma, D Wu, X Li IEEE Transactions on Cloud Computing, 2022 | 6 | 2022 |
| 2022 International Joint Conference on Neural Networks (IJCNN) X Ma, Q Hu, Z Gao, M AbdelHady | 6 | 2022 |
| Asking complex questions with multi-hop answer-focused reasoning X Ma, Q Zhu, Y Zhou, X Li, D Wu arXiv preprint arXiv:2009.07402, 2020 | 6 | 2020 |
| Contrastive knowledge graph attention network for request-based recipe recommendation X Ma, Z Gao, Q Hu, M Abdelhady ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Collaborative data relabeling for robust and diverse voice apps recommendation in intelligent personal assistants Q Hu, T Mohamed, W Xiao, Z Gao, X Gao, R Arava, X Ma, M AbdelHady Proceedings of the 3rd Workshop on Natural Language Processing for …, 2021 | 4 | 2021 |
| HCL: Hybrid contrastive learning for graph-based recommendation X Ma, Z Gao, Q Hu, M AbdelHady 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Contrastive co-training for diversified recommendation X Ma, Q Hu, Z Gao, M AbdelHady 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 1 | 2022 |
| FROST: Fallback voice apps recommendation for unhandled voice commands in intelligent personal assistants Q Hu, T Mohamed, W Xiao, X Ma, X Gao, Z Gao, R Arava, M AbdelHady Frontiers in big Data 5, 867251, 2022 | 1 | 2022 |
| MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning Y Li, X Ma, S Lu, K Lee, X Liu, C Guo The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
| FROST: Fallback voice apps recommendation for unhandled commands in intelligent personal assistants Q Hu, T Mohamed, W Xiao, X Ma, X Gao, Z Gao, R Arava, M AbdelHady | | 2022 |
| Modular Platooning and Formation Control Y Zhou, G Pu, F Lu, X Ma, X Li | | 2019 |
| RetailNet: Enhancing Retails of Perishable Products with Multiple Selling Strategies via Pair-Wise Multi-Q Learning X Ma, F Lu, X Pan, Y Zhou, X Li The Thirty-sixth International Conference on Machine Learning Reinforcement …, 0 | | |
Yanlin ZhouSenior Machine Learning Engineer/Research Scientist, Samsung Electronics AmericaVerified email at samsung.com
