Jianglin (Johnny) Lu   盧江林Google Scholar   LinkedIn   Github
SMILE Lab, |
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The Indra Representation Hypothesis.
[PDF][Code][coming soon] Jianglin Lu, Hailing Wang, Kuo Yang, Yitian Zhang, Simon Jenni, Yun Fu. The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. |
Outlier-Aware Post-Training Quantization for Image Super-Resolution.
[PDF][Code][coming soon] Hailing Wang, Jianglin Lu, Yitian Zhang, Yun Fu. International Conference on Computer Vision (ICCV Highlight), 2025. |
Representation Potentials of Foundation Models for Multimodal Alignment: A Survey.
[PDF][Code] Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. |
Unequal Scientific Recognition in the Age of LLMs.
[PDF][Code][coming soon] Yixuan Liu, Abel Elekes, Jianglin Lu, Rodrigo Dorantes-Gilardi, Albert-Laszlo Barabasi. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2025. |
Scale-Free Graph-Language Models.
[PDF][Code] Jianglin Lu, Yixuan Liu, Yitian Zhang, Yun Fu. The Thirteenth International Conference on Learning Representations (ICLR), 2025. |
Latent Graph Inference with Limited Supervision.
[PDF][Project Page][Code] Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu. The Thirty-seventh Annual Conference on 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. |
Conference Reviewer: ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, MM, KDD, AISTATS |
Journal Reviewer: TPAMI, TIP, TKDE, TNNLS, TKDD, PR |
Awesome Papers in Machine Learning, Computer Vision, Pattern Recognition, and Data Mining
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Introduction to Vision Language Models [Notes] |
Introduction to Domain Adaptation [Notes] |
Introduction to Graph Neural Networks [Notes] |