Daoyuan Chen
Daoyuan Chen
Alibaba Group
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
A benchmark for federated hetero-task learning
L Yao, D Gao, Z Wang, Y Xie, W Kuang, D Chen, H Wang, C Dong, ...
arXiv preprint arXiv:2206.03436, 2022
The system can't perform the operation now. Try again later.
Articles 1–20