Adabert: Task-adaptive bert compression with differentiable neural architecture search D Chen, Y Li, M Qiu, Z Wang, B Li, B Ding, H Deng, J Huang, W Lin, ... arXiv preprint arXiv:2001.04246, 2020 | 109 | 2020 |
An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription Y Shen, K Yuan, D Chen, J Colloc, M Yang, Y Li, K Lei Artificial intelligence in medicine 86, 20-32, 2018 | 100 | 2018 |
Federatedscope: A flexible federated learning platform for heterogeneity Y Xie, Z Wang, D Gao, D Chen, L Yao, W Kuang, Y Li, B Ding, J Zhou arXiv preprint arXiv:2204.05011, 2022 | 75 | 2022 |
Joint learning of answer selection and answer summary generation in community question answering Y Deng, W Lam, Y Xie, D Chen, Y Li, M Yang, Y Shen Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7651-7658, 2020 | 70 | 2020 |
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning D Chen, D Gao, W Kuang, Y Li, B Ding arXiv preprint arXiv:2206.03655, 2022 | 53 | 2022 |
Cooperative denoising for distantly supervised relation extraction K Lei, D Chen, Y Li, N Du, M Yang, W Fan, Y Shen Proceedings of the 27th International Conference on Computational …, 2018 | 46 | 2018 |
Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning W Kuang, B Qian, Z Li, D Chen, D Gao, X Pan, Y Xie, Y Li, B Ding, J Zhou arXiv preprint arXiv:2309.00363, 2023 | 37 | 2023 |
Efficient personalized federated learning via sparse model-adaptation D Chen, L Yao, D Gao, B Ding, Y Li International Conference on Machine Learning, 5234-5256, 2023 | 21 | 2023 |
Path-based reasoning with constrained type attention for knowledge graph completion K Lei, J Zhang, Y Xie, D Wen, D Chen, M Yang, Y Shen Neural Computing and Applications 32, 6957-6966, 2020 | 19 | 2020 |
医学知识图谱构建技术与研究进展 袁凯琦, 邓扬, 陈道源, 张冰, 雷凯, 沈颖 计算机应用研究 35 (7), 1929r1936, 2018 | 18 | 2018 |
Data-juicer: A one-stop data processing system for large language models D Chen, Y Huang, Z Ma, H Chen, X Pan, C Ge, D Gao, Y Xie, Z Liu, J Gao, ... Companion of the 2024 International Conference on Management of Data, 120-134, 2024 | 17 | 2024 |
Revisiting personalized federated learning: Robustness against backdoor attacks Z Qin, L Yao, D Chen, Y Li, B Ding, M Cheng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 16 | 2023 |
Relabel the noise: joint extraction of entities and relations via cooperative multiagents D Chen, Y Li, K Lei, Y Shen arXiv preprint arXiv:2004.09930, 2020 | 16 | 2020 |
Federatedscope: A comprehensive and flexible federated learning platform via message passing Y Xie, Z Wang, D Chen, D Gao, L Yao, W Kuang, Y Li, B Ding, J Zhou arXiv preprint arXiv:2204.05011 11, 2022 | 15 | 2022 |
Fs-real: Towards real-world cross-device federated learning D Chen, D Gao, Y Xie, X Pan, Z Li, Y Li, B Ding, J Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 14 | 2023 |
Knowledge-aware textual entailment with graph attention network D Chen, Y Li, M Yang, HT Zheng, Y Shen Proceedings of the 28th ACM International Conference on Information and …, 2019 | 12 | 2019 |
A pluggable learned index method via sampling and gap insertion Y Li, D Chen, B Ding, K Zeng, J Zhou arXiv preprint arXiv:2101.00808, 2021 | 11 | 2021 |
Enhancing multimodal large language models with vision detection models: An empirical study Q Jiao, D Chen, Y Huang, Y Li, Y Shen arXiv preprint arXiv:2401.17981, 2024 | 10 | 2024 |
Federated fine-tuning of large language models under heterogeneous language tasks and client resources J Bai, D Chen, B Qian, L Yao, Y Li arXiv preprint arXiv:2402.11505, 2024 | 9 | 2024 |
Federated full-parameter tuning of billion-sized language models with communication cost under 18 kilobytes Z Qin, D Chen, B Qian, B Ding, Y Li, S Deng arXiv preprint arXiv:2312.06353, 2023 | 9 | 2023 |