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2020 – today
- 2024
[i4]Shuaixin Liu, Kunqian Li, Yilin Ding:
Underwater Image Enhancement by Diffusion Model with Customized CLIP-Classifier. CoRR abs/2405.16214 (2024)- [i3]Yilin Ding, Kunqian Li, Han Mei, Shuaixin Liu, Guojia Hou:
WaterMono: Teacher-Guided Anomaly Masking and Enhancement Boosting for Robust Underwater Self-Supervised Monocular Depth Estimation. CoRR abs/2406.13344 (2024) - [i2]Shuaixin Liu, Kunqian Li, Yilin Ding, Kuangwei Xu, Qianli Jiang, Q. M. Jonathan Wu, Dalei Song:
Towards the in-situ Trunk Identification and Length Measurement of Sea Cucumbers via Bézier Curve Modelling. CoRR abs/2406.13951 (2024) - 2023
- [c3]Yilin Ding
, Zhen Liu, Hao Hao:
Self-supervised Learning and Graph Classification under Heterophily. CIKM 2023: 3849-3853 - [c2]Yilin Ding, Zhen Liu, Hao Hao:
Self-supervised Learning on Graphs at Node and Graph Level. FAIML 2023: 108-111 - [c1]Yibo Gao, Zhen Liu, Xinxin Yang, Yilin Ding, Sibo Lu, Ying Ma:
Graph Convolutional Network Based Feature Constraints Learning for Cross-Domain Adaptive Recommendation. ICONIP (13) 2023: 152-164 - [i1]Yilin Ding, Zhen Liu, Hao Hao:
Self-supervised Learning and Graph Classification under Heterophily. CoRR abs/2306.08469 (2023) - 2022
- [j1]Yao Zhong, Jian Hao, Yilin Ding, Ruijin Liao, Hui Xu, Xu Li:
Novel GIS Mechanical Defect Simulation and Detection Method Based on Large Current Excitation With Variable Frequency. IEEE Trans. Instrum. Meas. 71: 1-15 (2022)
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