Jianglin (Johnny) Lu 盧江林

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SMILE Lab,
Department of ECE,
College of Engineering,
Northeastern University,
360 Huntington Avenue, Boston, MA 02115, USA

Email: jianglinlu at outlook dot com

Biography

I am a Ph.D. candidate in the SMILE Lab of the Department of ECE, Northeastern University (NEU), under the supervision of Prof. Yun Raymond Fu. I have interned at Amazon, Adobe Research and Tencent Music Entertainment. My current research interests primarily focus on large language models, vision-language models, multimodal alignment, reinforcement learning, and agents.
I am looking for a part/full time internship position in Spring/Summer 2026. Please feel free to contact me if you have any openings!

Selected Publications

Conference

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.

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]

Introduction to Vision Language Models [Notes]

Introduction to Domain Adaptation [Notes]

Introduction to Graph Neural Networks [Notes]