Minmin Lin

According to our database, Minmin Lin authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

Online label aggregation with incomplete crowd responses.

Yuyang Liu, Haoyu Liu, Runze Wu, Chengliang Chai, Minmin Lin, Renyu Zhu, Hui Liu, Tangjie Lv, Changjie Fan

J. King Saud Univ. Comput. Inf. Sci., 2026

2025

The Effects of Data Augmentation on Confidence Estimation for LLMs.

Rui Wang, Renyu Zhu, Minmin Lin, Runze Wu, Tangjie Lv, Changjie Fan, Haobo Wang

CoRR, June, 2025

Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications.

Kai Tang, Rui Wang, Renyu Zhu, Minmin Lin, Xiao Ding, Tangjie Lv, Changjie Fan, Runze Wu, Haobo Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CrowdAgent: Multi-Agent Managed Multi-Source Annotation System.

Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Rank Aggregation in Crowdsourcing for Listwise Annotations.

Wenshui Luo, Haoyu Liu, Yongliang Ding, Tao Zhou, Sheng Wan, Runze Wu, Minmin Lin, Cong Zhang, Changjie Fan, Chen Gong

CoRR, 2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.

Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen

CoRR, 2024

2023

Towards Long-term Annotators: A Supervised Label Aggregation Baseline.

Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan

CoRR, 2023

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.

Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang

CoRR, 2023

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.

Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

An Adaptive Calibration Algorithm Based on RSSI and LDPLM for Indoor Ranging and Positioning.

Jingmin Yang, Shanghui Deng, Minmin Lin, Li Xu

Sensors, 2022

2021

Concurrent Healthcare Data Processing and Storage Framework Using Deep-Learning in Distributed Cloud Computing Environment.

Shengguang Yan, Lijuan He, Jaebok Seo, Minmin Lin

IEEE Trans. Ind. Informatics, 2021

2020

Characteristic analysis of wireless local area network's received signal strength indication in indoor positioning.

Minmin Lin, Baoxing Chen, Wenjie Zhang, Jingmin Yang

IET Commun., 2020

2019

Analysis of WLAN's Receiving Signal Strength Indication for Indoor Positioning.

Minmin Lin, Zhisen Wei, Baoxing Chen, Wenjie Zhang, Jingmin Yang

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

2018

Recovering Functional Mechanical Assemblies from Raw Scans.

Minmin Lin, Tianjia Shao, Youyi Zheng, Niloy J. Mitra, Kun Zhou

IEEE Trans. Vis. Comput. Graph., 2018

Automatic Mechanism Modeling from a Single Image with CNNs.

Minmin Lin, Tianjia Shao, Youyi Zheng, Zhong Ren, Yanlin Weng, Yin Yang

Comput. Graph. Forum, 2018