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Daoyuan Chen
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2020 – today
- 2024
- [c22]Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen:
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. LREC/COLING 2024: 3057-3074 - [c21]Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng:
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. ICML 2024 - [c20]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen:
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. KDD 2024: 1827-1838 - [c19]Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD 2024: 5260-5271 - [c18]Daoyuan Chen, Yaliang Li, Bolin Ding:
Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD 2024: 6414-6415 - [c17]Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen:
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. SIGIR 2024: 774-784 - [c16]Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 2024: 120-134 - [i23]Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen:
Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. CoRR abs/2401.17981 (2024) - [i22]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen:
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. CoRR abs/2402.05926 (2024) - [i21]Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li:
Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. CoRR abs/2402.11505 (2024) - [i20]Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou:
AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR abs/2402.14034 (2024) - [i19]Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen:
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. CoRR abs/2403.11236 (2024) - [i18]Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen:
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. CoRR abs/2404.02505 (2024) - [i17]Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding:
Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR abs/2405.14908 (2024) - [i16]Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng:
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR abs/2407.08583 (2024) - [i15]Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. CoRR abs/2407.11784 (2024) - [i14]Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen:
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CoRR abs/2408.04594 (2024) - 2023
- [j6]Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16(5): 1059-1072 (2023) - [j5]Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16(12): 4046-4049 (2023) - [j4]Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen:
Knowledge-Based Reasoning Network for Relation Detection. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5051-5063 (2023) - [c15]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [c14]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML 2023: 5234-5256 - [c13]Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD 2023: 3829-3841 - [c12]Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD 2023: 4743-4755 - [i13]Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR abs/2302.01677 (2023) - [i12]Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR abs/2303.13363 (2023) - [i11]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR abs/2305.02776 (2023) - [i10]Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR abs/2309.00363 (2023) - [i9]Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR abs/2309.02033 (2023) - [i8]Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng:
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR abs/2312.06353 (2023) - 2022
- [c11]Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding:
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS 2022 - [i7]Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR abs/2204.05011 (2022) - [i6]Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li:
A Benchmark for Federated Hetero-Task Learning. CoRR abs/2206.03436 (2022) - [i5]Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding:
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR abs/2206.03655 (2022) - 2021
- [i4]Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR abs/2101.00808 (2021) - 2020
- [j3]Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen:
Path-based reasoning with constrained type attention for knowledge graph completion. Neural Comput. Appl. 32(11): 6957-6966 (2020) - [c10]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI 2020: 7651-7658 - [c9]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. ACL 2020: 5940-5950 - [c8]Daoyuan Chen, Qinyi Liu, Jia Meng, Jionglong Su:
Gibbs Sampling Based Banoian Biclustering of Gene Expression Data. CISP-BMEI 2020: 790-795 - [c7]Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen:
An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM 2020: 165-174 - [c6]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [i3]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i2]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. CoRR abs/2004.09930 (2020)
2010 – 2019
- 2019
- [c5]Daoyuan Chen, Qinyi Liu, Xuanhao Yang, Xinyu Yu, Fei Ma, Jionglong Su:
Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale. CISP-BMEI 2019: 1-8 - [c4]Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen:
Knowledge-aware Textual Entailment with Graph Attention Network. CIKM 2019: 2145-2148 - [c3]Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen:
Answer-enhanced Path-aware Relation Detection over Knowledge Base. SIGIR 2019: 1021-1024 - [i1]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR abs/1911.09801 (2019) - 2018
- [j2]Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei:
An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. Artif. Intell. Medicine 86: 20-32 (2018) - [j1]Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei:
EAPB: entropy-aware path-based metric for ontology quality. J. Biomed. Semant. 9(1): 20:1-20:11 (2018) - [c2]Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen:
Cooperative Denoising for Distantly Supervised Relation Extraction. COLING 2018: 426-436 - [c1]Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei:
Ontology Evaluation with Path-based Text-aware Entropy Computation. SIGIR 2018: 881-884
Coauthor Index
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last updated on 2024-11-14 21:02 CET by the dblp team
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