| 2025 | CVPR | Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. | Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen |
| 2025 | ICML | 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 |
| 2025 | SODA | Parallel and Distributed Expander Decomposition: Simple, Fast, and Near-Optimal. | Daoyuan Chen, Simon Meierhans, Maximilian Probst Gutenberg, Thatchaphol Saranurak |
| 2024 | COLING | ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. | Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen |
| 2024 | ICML | 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 |
| 2024 | KDD | Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. | Daoyuan Chen, Yaliang Li, Bolin Ding |
| 2024 | KDD | 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 |
| 2024 | KDD | On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. | Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen |
| 2024 | SIGIR | Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. | Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen |
| 2024 | SIGMOD | 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 |
| 2023 | ICLR | Learned Index with Dynamic $\epsilon$. | Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou |
| 2023 | ICML | Efficient Personalized Federated Learning via Sparse Model-Adaptation. | Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li |
| 2023 | KDD | 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 |
| 2023 | KDD | Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. | Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng |
| 2020 | AAAI | 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 |
| 2020 | ACL | Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. | Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen |
| 2020 | CIKM | An Adaptive Embedding Framework for Heterogeneous Information Networks. | Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen |
| 2020 | IJCAI | 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 |
| 2019 | CIKM | Knowledge-aware Textual Entailment with Graph Attention Network. | Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen |
| 2019 | SIGIR | Answer-enhanced Path-aware Relation Detection over Knowledge Base. | Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen |
| 2018 | COLING | Cooperative Denoising for Distantly Supervised Relation Extraction. | Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen |
| 2018 | SIGIR | Ontology Evaluation with Path-based Text-aware Entropy Computation. | Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei |