Yanbin Lin

According to our database, Yanbin Lin authored at least 17 papers between 2018 and 2025.

Collaborative distances:

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

2025

Learning From Demonstrations: A Computationally Efficient Inverse Reinforcement Learning Approach With Simplified Implementation.

Yanbin Lin, Zhen Ni, Xiangnan Zhong

IEEE Trans. Emerg. Top. Comput. Intell., October, 2025

A Robust Multi-Virtual-Agent Inverse Reinforcement Learning Approach With Data Aggregation for Perturbed Environments.

Yanbin Lin, Zhen Ni

IEEE Trans. Neural Networks Learn. Syst., August, 2025

A Visual Feature-Based Inverse Reinforcement Learning Approach for Reward Reconstruction from Image Observations.

Yanbin Lin, Zhen Ni

Proceedings of the International Joint Conference on Neural Networks, 2025

CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward.

Zhiqiang Wang, Pengbin Feng, Yanbin Lin, Shuzhang Cai, Zongao Bian, Jinghua Yan, Xingquan Zhu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Transfer Contrastive Learning for Raman Spectroscopy Skin Cancer Tissue Classification.

Zhiqiang Wang, Yanbin Lin, Xingquan Zhu

IEEE J. Biomed. Health Informatics, December, 2024

Global Data Constraints: Ethical and Effectiveness Challenges in Large Language Model.

Jin Yang, Zhiqiang Wang, Yanbin Lin, Zunduo Zhao

CoRR, 2024

LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild.

Zhiqiang Wang, Dejia Xu, Rana Muhammad Shahroz Khan, Yanbin Lin, Zhiwen Fan, Xingquan Zhu

CoRR, 2024

Smart Expert System: Large Language Models as Text Classifiers.

Zhiqiang Wang, Yiran Pang, Yanbin Lin

CoRR, 2024

Adaptable and Reliable Text Classification using Large Language Models.

Zhiqiang Wang, Yiran Pang, Yanbin Lin, Xingquan Zhu

Proceedings of the IEEE International Conference on Data Mining, 2024

Benchmarking Large Language Models for Image Classification of Marine Mammals.

Yijiashun Qi, Shuzhang Cai, Zunduo Zhao, Jiaming Li, Yanbin Lin, Zhiqiang Wang

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Problematic Tokens: Tokenizer Bias in Large Language Models.

Jin Yang, Zhiqiang Wang, Yanbin Lin, Zunduo Zhao

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Large Language Models Are Zero-Shot Text Classifiers.

Zhiqiang Wang, Yiran Pang, Yanbin Lin

CoRR, 2023

2022

Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment.

Yanbin Lin, Zhen Ni, Xiangnan Zhong

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Biocrust microbiomes influence ecosystem structure and function in the Mu Us Sandland, northwest China.

Chang Tian, Jiao Xi, Mengchen Ju, Yahong Li, Qi Guo, Le Yao, Chun Wang, Yanbin Lin, Qiang Li, Wendy J. Williams, Chongfeng Bu

Ecol. Informatics, 2021

Dropout Graph Product for Improved Relationship Discovery Across Multiple Heterogeneous Graphs.

Xuwen Lang, Yanbin Lin, Dehong Qiu

IEEE Access, 2021

2020

Automated Parallel Electrical Characterization of Cells Using Optically-Induced Dielectrophoresis.

Na Liu, Yanbin Lin, Yan Peng, Liming Xin, Tao Yue, Yuanyuan Liu, Changhai Ru, Shaorong Xie, Liang Dong, Huayan Pu, Haige Chen, Wen J. Li, Yu Sun

IEEE Trans Autom. Sci. Eng., 2020

2018

Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset.

Shuqing Lin, Feng Yin, Zhidi Lin, Yanbin Lin, Shuguang Robert Cui, Teng Li, Fengli Yu, Wei Yu, Xuemin Hong, Jianghong Shi, Zhi-Quan Tom Luo

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018