| 2026 | ACL | Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs. | Qihua Dong, Yitian Zhang, Huimin Zeng, Yizhou Wang, Jianglin Lu, Kuo Yang, Yun Fu |
| 2026 | ACL | ACBQ: Adaptive Cross-Block Quantization of Large Language Models. | Hailing Wang, Jianglin Lu, Yitian Zhang, Huimin Zeng, Yun Fu |
| 2025 | EMNLP | Unequal Scientific Recognition in the Age of LLMs. | Yixuan Liu, bel Elekes, Jianglin Lu, Rodrigo Dorantes Gilardi, Albert-Lszl Barabsi |
| 2025 | EMNLP | Representation Potentials of Foundation Models for Multimodal Alignment: A Survey. | Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu |
| 2025 | ICCV | Outlier-Aware Post-Training Quantization for Image Super-Resolution. | Hailing Wang, Jianglin Lu, Yitian Zhang, Yun Fu |
| 2025 | ICLR | Scale-Free Graph-Language Models. | Jianglin Lu, Yixuan Liu, Yitian Zhang, Yun Fu |
| 2022 | IJCAI | Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation. | Tao Wang, Jianglin Lu, Zhihui Lai, Jiajun Wen, Heng Kong |
| 2020 | ICPR | Deep Superpixel Cut for Unsupervised Image Segmentation. | Qinghong Lin, Weichan Zhong, Jianglin Lu |
| 2020 | ICPR | Label Self-Adaption Hashing for Image Retrieval. | Jianglin Lu, Zhihui Lai, Jingxu Lin, Qinghong Lin, Jie Zhou |