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Haonan Yin
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2020 – today
- 2024
- [j4]Hefei Li, Yanchang Niu, Haonan Yin, Yu Mo, Yi Liu, Biqing Huang, Ruibin Wu, Jingxian Liu:
DAUP: Enhancing point cloud homogeneity for 3D industrial anomaly detection via density-aware point cloud upsampling. Adv. Eng. Informatics 62: 102823 (2024) - [j3]Jiaxun Wang, Xiang Wang, Ruiyang Hao, Haonan Yin, Biqing Huang, Xiao Xu, Jingxian Liu:
Incremental Template Neighborhood Matching for 3D anomaly detection. Neurocomputing 581: 127483 (2024) - [i3]Guanlong Jiao, Chenyangguang Zhang, Haonan Yin, Yu Mo, Biqing Huang, Hui Pan, Yi Luo, Jingxian Liu:
Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation. CoRR abs/2404.13701 (2024) - 2023
- [c2]Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje Karlsson, Chin-Yew Lin:
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text. ACL (1) 2023: 7317-7332 - [i2]Haonan Yin, Guanlong Jiao, Qianhui Wu, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin:
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection. CoRR abs/2307.08059 (2023) - 2022
- [j2]Haonan Yin, Chuanjun Chen, Chaofan Hao, Biqing Huang:
A Vision-based inventory method for stacked goods in stereoscopic warehouse. Neural Comput. Appl. 34(23): 20773-20790 (2022) - [i1]Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin:
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text. CoRR abs/2211.11300 (2022) - 2021
- [j1]Bufei Xing, Haonan Yin, Zhijun Yan, Jiachen Wang:
A study of similar question retrieval method in online health communities. Int. J. Crowd Sci. 5(2): 154-165 (2021)
2010 – 2019
- 2019
- [c1]Haonan Yin, Nina Huang, Zhijun Yan:
Effects of Online-offline Channel Integration on E-healthcare Providers: Evidence from a Natural Experiment. ICIS 2019
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