Zhemeng Yu

According to our database, Zhemeng Yu authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs.

Haicheng Wang, Yuan Liu, Yikun Liu, Zhemeng Yu, Zhongyin Zhao, Yangxiu You, Zilin Yu, Le Tian, Xiao Zhou, Jie Zhou, Weidi Xie, Yanfeng Wang

CoRR, April, 2026

Macro-Micro Collaborative Learning for Logical Data Center Microservice Indicators Forecasting.

Mohan Gao, Zhemeng Yu, Yang Luo, Lintao Ma, Yinbo Sun, Yuchen Fang, Xiaofeng Gao

Proceedings of the ACM Web Conference 2026, 2026

2025

A Lightweight Encoder-Decoder Framework for Carpooling Route Planning.

Yucen Gao, Li Ma, Zhemeng Yu, Songjian Zhang, Hui Gao, Jun Fang, Xiaofeng Gao

IEEE Trans. Mob. Comput., September, 2025

FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance.

Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Enzo Tartaglione

CoRR, January, 2025

FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance.

Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Shuai Xiao, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making.

Yang Luo, Shiyu Wang, Zhemeng Yu, Wei Lu, Xiaofeng Gao, Lintao Ma, Guihai Chen

CoRR, 2024

Lightweight GCN Encoder and Sequential Decoder for Multi-Candidate Carpooling Route Planning in Road Network.

Yucen Gao, Li Ma, Zhemeng Yu, Songjian Zhang, Jun Fang, Xiaofeng Gao, Guihai Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload Prediction.

Yang Luo, Mohan Gao, Zhemeng Yu, Haoyuan Ge, Xiaofeng Gao, Tengwei Cai, Guihai Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MetaSTC: A Backbone Agnostic Spatio-Temporal Framework for Traffic Forecasting.

Kexin Xu, Zhemeng Yu, Yucen Gao, Songjian Zhang, Jun Fang, Xiaofeng Gao, Guihai Chen

Proceedings of the IEEE International Conference on Data Mining, 2024