Chen, Daoyuan

13 publications

NeurIPS 2025 Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models Daoyuan Chen, Yilun Huang, Xuchen Pan, Jiang Nana, Haibin Wang, Yilei Zhang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou

ICML 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-Development Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou

NeurIPS 2025 Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen

NeurIPS 2025 FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, InSeo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel Janes Beutel, Lingjuan Lyu, Nicholas D. Lane

CVPR 2025 Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen

NeurIPS 2025 MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen

NeurIPS 2024 Federated Fine-Tuning of Large Language Models Under Heterogeneous Tasks and Client Resources Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li

ICML 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

ICML 2023 Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li

ICLR 2023 Learned Index with Dynamic $\epsilon$ Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

NeurIPS 2022 pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding

IJCAI 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

AAAI 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