| 2025 | ACL | BlockPruner: Fine-grained Pruning for Large Language Models. | Longguang Zhong, Fanqi Wan, Ruijun Chen, Xiaojun Quan, Liangzhi Li |
| 2025 | IJCAI | Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support. | Bo Xu, Liangzhi Li, Junlong Wang, Xuening Qiao, Erchen Yu, Yiming Qian, Linlin Zong, Hongfei Lin |
| 2025 | IJCNN | Towards Open-World Video Segmentation via Iterative Automatic Prompting. | Liangzhi Li, Xinru Li, Zhouqiang Jiang, Xingfu Cheng, Zhaofeng Niu, Bowen Wang, Guangshun Li |
| 2025 | IJCNN | Role-Playing in Vision-Language Models: A Comprehensive Evaluation of Image Description Performance. | Zhaofeng Niu, Xiaoya Chang, Bowen Wang, Xingfu Cheng, Guangshun Li, Liangzhi Li |
| 2024 | COLING | Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? | Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia |
| 2024 | COLING | MHGRL: An Effective Representation Learning Model for Electronic Health Records. | Feiyan Liu, Liangzhi Li, Xiaoli Wang, Feng Luo, Chang Liu, Jinsong Su, Yiming Qian |
| 2024 | ICONIP | A Semantic Segmentation Method for Skin Lesion Images Based on ViT. | Zhaofeng Niu, Lihua Wang, Zhouqiang Jiang, Bowen Wang, Guangshun Li, Liangzhi Li |
| 2024 | WACV | Instruct Me More! Random Prompting for Visual In-Context Learning. | Jiahao Zhang, Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara |
| 2023 | CVPR | Learning Bottleneck Concepts in Image Classification. | Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara |
| 2023 | EMNLP | MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension. | Guoxin Chen, Yiming Qian, Bowen Wang, Liangzhi Li |
| 2023 | EMNLP | TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction. | Junyi Liu, Liangzhi Li, Tong Xiang, Bowen Wang, Yiming Qian |
| 2023 | EMNLP | Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. | Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang |
| 2023 | ICA3PP | Explaining Federated Learning Through Concepts in Image Classification. | Jiaxin Shen, Xiaoyi Tao, Liangzhi Li, Zhiyang Li, Bowen Wang |
| 2023 | MICCAI | Category-Independent Visual Explanation for Medical Deep Network Understanding. | Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu |
| 2021 | CVPR | MTUNet: Few-Shot Image Classification With Visual Explanations. | Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara |
| 2021 | ICCV | SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. | Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara |
| 2020 | WACV | IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. | Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki |
| 2018 | GLOBECOM | Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach. | Liangzhi Li, Kaoru Ota, Mianxiong Dong, Christos V. Verikoukis |
| 2010 | ICNC | Interaction design of children's mobile phone for enhancing cognitive ability. | Yu Chen, Rong Yong, Liangzhi Li |