Jianglin (Johnny) Lu   盧江林Google Scholar   LinkedIn   Github
SMILE Lab, |
Latent Graph Inference with Limited Supervision.
[PDF][Project Page][Code] Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu. Neural Information Processing Systems (NeurIPS), 2023. | |
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation.
[PDF][Code] Tao Wang, Jianglin Lu, Zhihui Lai, Heng Kong, Jiajun Wen. International Joint Conference on Artificial Intelligence (IJCAI), 2022. | |
Local Graph Convolutional Networks for Cross-Modal Hashing.
[PDF][Code ] Yudong Chen, Sen Wang, Jianglin Lu, Zhi Chen, Zheng Zhang, Zi Huang. ACM International Conference on Multimedia (ACM MM), 2021. | |
Feb. 2024, Latent Graph Inference from Shallow Methods to GNNs [Slides], invited by Prof. Sarah Ostadabbas @ACLab. |
Awesome Papers in Machine Learning, Computer Vision, Pattern Recognition, and Data Mining.
[Link] |
Introduction to Vision Language Models [Notes] |
Introduction to Domain Adaptation [Notes] |
Introduction to Graph Neural Networks [Notes] |