Jianglin (Johnny) Lu 盧江林Google Scholar LinkedIn Github WeChat
SMILE Lab, |
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Biography
Selected Publications
Preprint
| SimpleCall: A Lightweight Image Restoration Agent in Label-Free Environments with MLLM Perceptual Feedback.
[PDF][Code] Jianglin Lu, Yuanwei Wu, Ziyi Zhao, Hongcheng Wang, Felix Jimenez, Abrar Majeedi, Yun Fu. arXiv preprint arXiv:2512.18599, 2025. |
| Trajectory Prediction Meets Large Language Models: A Survey.
[PDF][Code] Yi Xu, Ruining Yang, Yitian Zhang, Jianglin Lu, Mingyuan Zhang, Yizhou Wang, Lili Su, Yun Fu. arXiv preprint arXiv:2506.03408, 2025. |
Conference
| Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks.
[PDF][Code] (coming soon) Qihua Dong, Yang Kuo, Ju Lin, Handong Zhao, Yitian Zhang, Yizhou Wang, Huimin Zeng, Jianglin Lu, Yun Fu. The Fourteenth International Conference on Learning Representations (ICLR), 2026. |
| Seeing Through Words: Controlling Visual Retrieval Quality with Language Models.
[PDF][Code] Jianglin Lu, Simon Jenni, Kushal Kafle, Jing Shi, Handong Zhao, Yun Fu. The Fourteenth International Conference on Learning Representations (ICLR), 2026. |
| The Indra Representation Hypothesis for Multimodal Alignment.
[PDF][Code] 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] 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] 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. |
Professional Services
| Conference Reviewer: ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, MM, KDD, AISTATS |
| Journal Reviewer: TPAMI, TIP, TKDE, TNNLS, TKDD, PR |
Personal Links
| Awesome Papers in Machine Learning, Computer Vision, Pattern Recognition, and Data Mining
[Link] |
| Vision–Language–Action Models (coming soon) | Network Quantization (coming soon) | Vision–Language Models |
| Domain Adaptation | Graph Neural Networks | Learning with Noisy Labels |