Daoyu Wang

According to our database, Daoyu Wang authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature.

Daoyu Wang, Mingyue Cheng, Qi Liu, Shuo Yu, Zirui Liu, Ze Guo

CoRR, October, 2025

MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.

Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao

CoRR, October, 2025

From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization.

Xiaoyu Tao, Shilong Zhang, Mingyue Cheng, Daoyu Wang, Tingyue Pan, Bokai Pan, Changqing Zhang, Shijin Wang

CoRR, August, 2025

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs.

Yucong Luo, Yitong Zhou, Mingyue Cheng, Jiahao Wang, Daoyu Wang, Tingyue Pan, Jintao Zhang

CoRR, June, 2025

A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen

CoRR, March, 2025

Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting.

Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Gaze and Go: Harnessing Visual Attention Valence in Upper-Limb Robotic Rehabilitation With Tailored Gamification and Eye Tracking for Neuroplasticity.

Daomiao Wang, Peidong He, Yixi Wang, Zhuo Jian, Zilong Song, Qihan Hu, Fanfu Fang, Cuiwei Yang, Daoyu Wang, Hongliu Yu

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation.

Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models.

Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study.

Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling.

Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang

CoRR, 2024

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting.

Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen

CoRR, 2024

Revisiting the Solution of Meta KDD Cup 2024: CRAG.

Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen

CoRR, 2024

2023

Digital-Twin-Based Patient Evaluation during Stroke Rehabilitation.

Yilun Chen, Wentao Wang, Junyu Diao, Daoyu Wang, Zhuo Jian, Yixi Wang, Zhihao Jiang

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023