Daoyuan Chen

According to our database, Daoyuan Chen authored at least 42 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Parallel and Distributed Expander Decomposition: Simple, Fast, and Near-Optimal.

Daoyuan Chen, Simon Meierhans, Maximilian Probst Gutenberg, Thatchaphol Saranurak

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2024

Is Sharing Neighbor Generator in Federated Graph Learning Safe?

Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding

IEEE Trans. Knowl. Data Eng., December, 2024

HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data.

Ting Zhou, Daoyuan Chen, Qirui Jiao, Bolin Ding, Yaliang Li, Ying Shen

CoRR, 2024

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction.

Zhongjie Duan, Qianyi Zhao, Cen Chen, Daoyuan Chen, Wenmeng Zhou, Yaliang Li, Yingda Chen

CoRR, 2024

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models.

Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen

CoRR, 2024

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development.

Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective.

Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng

CoRR, 2024

Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining.

Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding

CoRR, 2024

AgentScope: A Flexible yet Robust Multi-Agent Platform.

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

CoRR, 2024

Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources.

Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li

CoRR, 2024

Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study.

Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen

CoRR, 2024

Data-Juicer: A One-Stop Data Processing System for Large Language Models.

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

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation.

Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models.

Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.

Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases.

Daoyuan Chen, Yaliang Li, Bolin Ding

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes.

Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization.

Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Knowledge-Based Reasoning Network for Relation Detection.

Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2023

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.

Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.

Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.

Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient Personalized Federated Learning via Sparse Model-Adaptation.

Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

Learned Index with Dynamic $\epsilon$.

Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.

Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2022

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning.

Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Pluggable Learned Index Method via Sampling and Gap Insertion.

Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou

CoRR, 2021

2020

Path-based reasoning with constrained type attention for knowledge graph completion.

Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen

Neural Comput. Appl., 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.

Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Adaptive Embedding Framework for Heterogeneous Information Networks.

Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Gibbs Sampling Based Banoian Biclustering of Gene Expression Data.

Daoyuan Chen, Qinyi Liu, Jia Meng, Jionglong Su

Proceedings of the 13th International Congress on Image and Signal Processing, 2020

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents.

Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.

Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Answer-enhanced Path-aware Relation Detection over Knowledge Base.

Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Knowledge-aware Textual Entailment with Graph Attention Network.

Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale.

Daoyuan Chen, Qinyi Liu, Xuanhao Yang, Xinyu Yu, Fei Ma, Jionglong Su

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

EAPB: entropy-aware path-based metric for ontology quality.

Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei

J. Biomed. Semant., 2018

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei

Artif. Intell. Medicine, 2018

Ontology Evaluation with Path-based Text-aware Entropy Computation.

Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Cooperative Denoising for Distantly Supervised Relation Extraction.

Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen

Proceedings of the 27th International Conference on Computational Linguistics, 2018