Weilin Ruan

According to our database, Weilin Ruan authored at least 11 papers between 2024 and 2025.

Collaborative distances:

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

2025

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting.

Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang

IEEE Trans. Intell. Transp. Syst., November, 2025

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation.

Songxin Lei, Qiongyan Wang, Yanchen Zhu, Hanyu Yao, Sijie Ruan, Weilin Ruan, Yuyu Luo, Huaming Wu, Yuxuan Liang

CoRR, October, 2025

VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results.

Sizhuo Ma, Wei-Ting Chen, Qiang Gao, Jian Wang, Chris Wei Zhou, Wei Sun, Weixia Zhang, Linhan Cao, Jun Jia, Xiangyang Zhu, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, Baoying Chen, Xiongwei Xiao, Jishen Zeng, Wei Wu, Tiexuan Lou, Yuchen Tan, Chunyi Song, Zhiwei Xu, MohammadAli Hamidi, Hadi Amirpour, Mingyin Bai, Jiawang Du, Zhenyu Jiang, Zilong Lu, Ziguan Cui, Zongliang Gan, Xinpeng Li, Shiqi Jiang, Chenhui Li, Changbo Wang, Weijun Yuan, Zhan Li, Yihang Chen, Yifan Deng, Ruting Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Abhishek Joshi, Aman Agarwal, Rakhil Immidisetti, Ajay Narasimha Mopidevi, Vishwajeet Shukla, Hao Yang, Ruikun Zhang, Liyuan Pan, Kaixin Deng, Hang Ouyang, Fan Yang, Zhizun Luo, Zhuohang Shi, Songning Lai, Weilin Ruan, Yutao Yue

CoRR, August, 2025

A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction.

Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo Lyu, Yuxuan Liang

CoRR, August, 2025

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang

CoRR, August, 2025

An Empirical Study of the Anchoring Effect in LLMs: Existence, Mechanism, and Potential Mitigations.

Yiming Huang, Biquan Bie, Zuqiu Na, Weilin Ruan, Songxin Lei, Yutao Yue, Xinlei He

CoRR, May, 2025

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models.

Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang

CoRR, February, 2025

ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting.

Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework.

Xingchen Zou, Weilin Ruan, Siru Zhong, Yuehong Hu, Yuxuan Liang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.

Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang

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

2024

Low-rank Adaptation for Spatio-Temporal Forecasting.

Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang

CoRR, 2024