Daoyuan Chen - RankMe

74 papers A* 19A 2B 1Journal 48Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Fine-Grained Visual Categorization via Cyclical Attention. IEEE Trans. Neural Networks Learn. Syst. Bin Kang, Dong Liang, Daoyuan Chen, Tianyu Ding, Mingqiang Wei
2026	J	`jnl`	Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation. CoRR Jinyan Ye, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2026	J	`jnl`	VIRAL: Visual In-Context Reasoning via Analogy in Diffusion Transformers. CoRR Zhiwen Li, Zhongjie Duan, Jinyan Ye, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2025	J	`jnl`	AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models. CoRR Die Chen, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yinda Chen
2025	J	`jnl`	AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation. CoRR Zhiwen Li, Zhongjie Duan, Die Chen, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2025	J	`jnl`	BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning. CoRR Qianli Shen, Daoyuan Chen, Yilun Huang, Zhenqing Ling, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. CoRR Daoyuan Chen, Yilun Huang, Xuchen Pan, Nana Jiang, Haibin Wang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Yilei Zhang, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou
2025	A*	`conf`	Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development. ICML Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? CoRR Qirui Jiao, Daoyuan Chen, Yilun Huang, Xika Lin, Ying Shen, Yaliang Li
2025	J	`jnl`	Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. CoRR Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2025	J	`jnl`	FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR Yan Gao, 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, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025	J	`jnl`	Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs. CoRR Fei Wei, Daoyuan Chen, Ce Wang, Yilun Huang, Yushuo Chen, Xuchen Pan, Yaliang Li, Bolin Ding
2025	A*	`conf`	Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CVPR Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen
2025	J	`jnl`	MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions. CoRR Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen
2025	A*	`conf`	Parallel and Distributed Expander Decomposition: Simple, Fast, and Near-Optimal. SODA Daoyuan Chen, Simon Meierhans, Maximilian Probst Gutenberg, Thatchaphol Saranurak
2025	J	`jnl`	The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2025	J	`jnl`	Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. CoRR Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering. CoRR Yuyi Li, Daoyuan Chen, Zhen Wang, Yutong Lu, Yaliang Li
2024	J	`jnl`	AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR 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
2024	J	`jnl`	ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction. CoRR Zhongjie Duan, Qianyi Zhao, Cen Chen, Daoyuan Chen, Wenmeng Zhou, Yaliang Li, Yingda Chen
2024	—	`conf`	ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. LREC/COLING Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen
2024	J	`jnl`	ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. CoRR Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen
2024	J	`jnl`	Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding
2024	J	`jnl`	Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. CoRR Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
2024	—	`conf`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 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
2024	A*	`conf`	Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. SIGIR Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen
2024	J	`jnl`	Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. CoRR Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen
2024	J	`jnl`	Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. CoRR Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen
2024	J	`jnl`	Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. CoRR Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	A*	`conf`	Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. NeurIPS Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	A*	`conf`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. ICML Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	A*	`conf`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data. CoRR Ting Zhou, Daoyuan Chen, Qirui Jiao, Bolin Ding, Yaliang Li, Ying Shen
2024	J	`jnl`	Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CoRR Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen
2024	J	`jnl`	Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding
2024	A*	`conf`	Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD Daoyuan Chen, Yaliang Li, Bolin Ding
2024	A*	`conf`	On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. KDD Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2024	J	`jnl`	On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. CoRR Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2024	J	`jnl`	Parallel and Distributed Expander Decomposition: Simple, Fast, and Near-Optimal. CoRR Daoyuan Chen, Simon Meierhans, Maximilian Probst Gutenberg, Thatchaphol Saranurak
2024	J	`jnl`	The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2023	J	`jnl`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR 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	A*	`conf`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	J	`jnl`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	A*	`conf`	FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2023	J	`jnl`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	Knowledge-Based Reasoning Network for Relation Detection. IEEE Trans. Neural Networks Learn. Syst. Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen
2023	A*	`conf`	Learned Index with Dynamic $\epsilon$. ICLR Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
2023	A*	`conf`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	J	`jnl`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2022	J	`jnl`	A Benchmark for Federated Hetero-Task Learning. CoRR Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
2022	J	`jnl`	FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2022	A*	`conf`	pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
2022	J	`jnl`	pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
2021	J	`jnl`	A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou
2020	A*	`conf`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	A	`conf`	An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen
2020	—	`conf`	Gibbs Sampling Based Banoian Biclustering of Gene Expression Data. CISP-BMEI Daoyuan Chen, Qinyi Liu, Jia Meng, Jionglong Su
2020	A*	`conf`	Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
2020	J	`jnl`	Path-based reasoning with constrained type attention for knowledge graph completion. Neural Comput. Appl. Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen
2020	A*	`conf`	Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. ACL Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen
2020	J	`jnl`	Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. CoRR Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen
2019	A*	`conf`	Answer-enhanced Path-aware Relation Detection over Knowledge Base. SIGIR Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen
2019	J	`jnl`	Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
2019	A	`conf`	Knowledge-aware Textual Entailment with Graph Attention Network. CIKM Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen
2019	—	`conf`	Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale. CISP-BMEI Daoyuan Chen, Qinyi Liu, Xuanhao Yang, Xinyu Yu, Fei Ma, Jionglong Su
2018	J	`jnl`	An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. Artif. Intell. Medicine Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei
2018	B	`conf`	Cooperative Denoising for Distantly Supervised Relation Extraction. COLING Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen
2018	J	`jnl`	EAPB: entropy-aware path-based metric for ontology quality. J. Biomed. Semant. Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei
2018	A*	`conf`	Ontology Evaluation with Path-based Text-aware Entropy Computation. SIGIR Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei