Yanwei Cui

According to our database, Yanwei Cui authored at least 13 papers between 2015 and 2026.

Collaborative distances:

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

2026

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents.

Xing Zhang, Guanghui Wang, Yanwei Cui, Wei Qiu, Ziyuan Li, Bing Zhu, Peiyang He

CoRR, April, 2026

Prompt Optimization Is a Coin Flip: Diagnosing When It Helps in Compound AI Systems.

Xing Zhang, Guanghui Wang, Yanwei Cui, Wei Qiu, Ziyuan Li, Bing Zhu, Peiyang He

CoRR, April, 2026

Do Agent Rules Shape or Distort? Guardrails Beat Guidance in Coding Agents.

Xing Zhang, Guanghui Wang, Yanwei Cui, Wei Qiu, Ziyuan Li, Bing Zhu, Peiyang He

CoRR, April, 2026

Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution.

Xing Zhang, Yanwei Cui, Guanghui Wang, Wei Qiu, Ziyuan Li, Fangwei Han, Yajing Huang, Hengzhi Qiu, Bing Zhu, Peiyang He

CoRR, March, 2026

2024

Erratum to: High precision current mirror circuit based on two-dimensional material transistors.

Shiping Gao, Chen Pan, Pincheng Su, Xing-Jian Yangdong, Wentao Yu, Zhoujie Zeng, Yu Shen, Jingwen Shi, Yanwei Cui, Pengfei Wang, Yuekun Yang, Cong Wang, Bin Cheng, Shi-Jun Liang, Feng Miao

Sci. China Inf. Sci., 2024

High precision current mirror circuit based on two-dimensional material transistors.

Shiping Gao, Chen Pan, Pincheng Su, Xing-Jian Yangdong, Wentao Yu, Zhoujie Zeng, Yu Shen, Jingwen Shi, Yanwei Cui, Pengfei Wang, Yuekun Yang, Cong Wang, Bing Cheng, Shi-Jun Liang, Feng Miao

Sci. China Inf. Sci., 2024

2019

Understand customer reviews with less data and in short time: pretrained language representation and active learning.

Yanwei Cui, Xavier Illy

CoRR, 2019

2018

Modelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting.

Yanwei Cui, Rogatien Tobossi, Olivia Vigouroux

CoRR, 2018

2017

Kernel based learning on hierarchical image representations : applications to remote sensing data classification. (Apprentissage à base de noyaux sur représentations d'images arborescentes : applications à la classification des images de télédétection).

Yanwei Cui

PhD thesis, 2017

Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification.

Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre

Remote. Sens., 2017

2016

Combining multiple resolutions into hierarchical representations for kernel-based image classification.

Yanwei Cui, Sébastien Lefèvre, Laetitia Chapel, Anne Puissant

CoRR, 2016

Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach.

Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015

A Subpath Kernel for Learning Hierarchical Image Representations.

Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015