Cooperative Denoising for Distantly Supervised Relation Extraction. - Kai Lei; Daoyuan Chen; Yaliang Li; Nan Du 001; Min Yang 007; Wei Fan 001; Ying Shen 001 (COLING, 2018)

Ontology Evaluation with Path-based Text-aware Entropy Computation. - Ying Shen 001; Daoyuan Chen; Min Yang 007; Yaliang Li; Nan Du 001; Kai Lei (SIGIR, 2018)

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. - Ying Shen 001; Kaiqi Yuan; Daoyuan Chen; Joël Colloc; Min Yang 007; Yaliang Li; Kai Lei (Artif. Intell. Medicine, 2018)

EAPB: entropy-aware path-based metric for ontology quality. - Ying Shen 001; Daoyuan Chen; Buzhou Tang; Min Yang 007; Kai Lei (J. Biomed. Semant., 2018)

Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale. - Daoyuan Chen; Qinyi Liu; Xuanhao Yang; Xinyu Yu; Fei Ma 002; Jionglong Su (CISP-BMEI, 2019)

Knowledge-aware Textual Entailment with Graph Attention Network. - Daoyuan Chen; Yaliang Li; Min Yang 007; Hai-Tao Zheng 002; Ying Shen 001 (CIKM, 2019)

Answer-enhanced Path-aware Relation Detection over Knowledge Base. - Daoyuan Chen; Min Yang 007; Hai-Tao Zheng 002; Yaliang Li; Ying Shen 001 (SIGIR, 2019)

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. - Yang Deng 002; Wai Lam; Yuexiang Xie; Daoyuan Chen; Yaliang Li; Min Yang 007; Ying Shen 001 (AAAI, 2020)

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. - Daoyuan Chen; Yaliang Li; Kai Lei; Ying Shen 001 (ACL, 2020)

Gibbs Sampling Based Banoian Biclustering of Gene Expression Data. - Daoyuan Chen; Qinyi Liu; Jia Meng 001; Jionglong Su (CISP-BMEI, 2020)

An Adaptive Embedding Framework for Heterogeneous Information Networks. - Daoyuan Chen; Yaliang Li; Bolin Ding; Ying Shen 001 (CIKM, 2020)

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. - Daoyuan Chen; Yaliang Li; Minghui Qiu; Zhen Wang 036; Bofang Li; Bolin Ding; Hongbo Deng; Jun Huang 007; Wei Lin 016; Jingren Zhou 001 (IJCAI, 2020)

Path-based reasoning with constrained type attention for knowledge graph completion. - Kai Lei; Jin Zhang; Yuexiang Xie; Desi Wen; Daoyuan Chen; Min Yang 007; Ying Shen 001 (Neural Comput. Appl., 2020)

A Pluggable Learned Index Method via Sampling and Gap Insertion. - Yaliang Li; Daoyuan Chen; Bolin Ding; Kai Zeng 002; Jingren Zhou 001 (CoRR, 2021)

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

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. - Yuexiang Xie; Zhen Wang 036; Daoyuan Chen; Dawei Gao; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2022)

A Benchmark for Federated Hetero-Task Learning. - Liuyi Yao; Dawei Gao; Zhen Wang 036; Yuexiang Xie; Weirui Kuang; Daoyuan Chen; Haohui Wang; Chenhe Dong; Bolin Ding; Yaliang Li (CoRR, 2022)

Learned Index with Dynamic $ epsilon$. - Daoyuan Chen; Wuchao Li; Yaliang Li; Bolin Ding; Kai Zeng 002; Defu Lian; Jingren Zhou 001 (ICLR, 2023)

Efficient Personalized Federated Learning via Sparse Model-Adaptation. - Daoyuan Chen; Liuyi Yao; Dawei Gao; Bolin Ding; Yaliang Li (ICML, 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 001 (KDD, 2023)

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. - Zeyu Qin; Liuyi Yao; Daoyuan Chen; Yaliang Li; Bolin Ding; Minhao Cheng (KDD, 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 001 (Proc. VLDB Endow., 2023)

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. - Yuexiang Xie; Zhen Wang 036; Dawei Gao; Daoyuan Chen; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

Knowledge-Based Reasoning Network for Relation Detection. - Ying Shen 001; Min Yang 007; Yaliang Li; Dong Wang; Hai-Tao Zheng 002; Daoyuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. - Mengsha Liu; Daoyuan Chen; Yaliang Li; Guian Fang; Ying Shen 001 (LREC/COLING, 2024)

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. - Zhen Qin 004; Daoyuan Chen; Bingchen Qian; Bolin Ding; Yaliang Li; Shuiguang Deng (ICML, 2024)

Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. - Daoyuan Chen; Yaliang Li; Bolin Ding (KDD, 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 001 (KDD, 2024)

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (KDD, 2024)

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. - Jiamu Bai; Daoyuan Chen; Bingchen Qian; Liuyi Yao; Yaliang Li (NeurIPS, 2024)

Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. - Zhe Xu 009; Daoyuan Chen; Jiayi Kuang; Zihao Yi; Yaliang Li; Ying Shen 001 (SIGIR, 2024)

Data-Juicer: A One-Stop Data Processing System for Large Language Models. - Daoyuan Chen; Yilun Huang 004; Zhijian Ma; Hesen Chen; Xuchen Pan; Ce Ge; Dawei Gao; Yuexiang Xie; Zhaoyang Liu 003; Jinyang Gao; Yaliang Li; Bolin Ding; et al. (SIGMOD Conference Companion, 2024)

Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Yaliang Li; Ying Shen 001 (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)

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; et al. (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)

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. - Zhen Qin 004; Daoyuan Chen; Wenhao Zhang; Liuyi Yao; Yilun Huang 004; Bolin Ding; Yaliang Li; Shuiguang Deng (CoRR, 2024)

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. - Daoyuan Chen; Haibin Wang; Yilun Huang 004; Ce Ge; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Yaliang Li; Ying Shen 001 (CoRR, 2024)

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction. - Zhongjie Duan; Qianyi Zhao; Cen Chen 001; Daoyuan Chen; Wenmeng Zhou; Yaliang Li; Yingda Chen (CoRR, 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 001 (CoRR, 2024)

Is Sharing Neighbor Generator in Federated Graph Learning Safe? - Liuyi Yao; Zhen Wang 036; Yuexiang Xie; Yaliang Li; Weirui Kuang; Daoyuan Chen; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Bolin Ding; Yaliang Li; Ying Shen 001 (CVPR, 2025)

Parallel and Distributed Expander Decomposition: Simple, Fast, and Near-Optimal. - Daoyuan Chen; Simon Meierhans; Maximilian Probst Gutenberg; Thatchaphol Saranurak (SODA, 2025)

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. - Daoyuan Chen; Yilun Huang 004; Xuchen Pan; Nana Jiang; Haibin Wang; Ce Ge; Yushuo Chen; Wenhao Zhang; Zhijian Ma; Yilei Zhang; Jun Huang 007; Wei Lin 016; et al. (CoRR, 2025)

Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (CoRR, 2025)

MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions. - Zhe Xu 009; Daoyuan Chen; Zhenqing Ling; Yaliang Li; Ying Shen 001 (CoRR, 2025)

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Xika Lin; Ying Shen 001; Yaliang Li (CoRR, 2025)

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yushuo Chen; Yuchang Sun 001; Daoyuan Chen; Wenhao Zhang; Yuexiang Xie; Yilun Huang 004; Yilei Zhang; Dawei Gao; Yaliang Li; Bolin Ding; et al. (CoRR, 2025)

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. - Yan Gao 016; Massimo Roberto Scamarcia; Javier Fernández-Marqués; Mohammad Naseri; Chong Shen Ng; Dimitris Stripelis; Zexi Li; Tao Shen; Jiamu Bai; Daoyuan Chen; Zikai Zhang; Rui Hu; et al. (CoRR, 2025)

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation. - Zhiwen Li; Zhongjie Duan; Die Chen; Cen Chen 001; Daoyuan Chen; Yaliang Li; Yingda Chen (CoRR, 2025)

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models. - Die Chen; Zhongjie Duan; Zhiwen Li; Cen Chen 001; Daoyuan Chen; Yaliang Li; Yinda Chen (CoRR, 2025)