| 2026 | KSEM | Harnessing Neural Collapse to Understand and Strengthen Classification Model Generalization. | Yanlinhuan Zhang, Songhao Jiang, Zhen Yang, Zhicheng Liu, Yan Chu |
| 2025 | ACL | Global Eye: Breaking the "Fixed Thinking Pattern" during the Instruction Expansion Process. | Wenxuan Lu, Wei Liu, Jian Luan, Bin Wang, Songhao Jiang, Tianning Zang |
| 2024 | EMNLP | Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention. | Wenxuan Lu, Songhao Jiang, Yijing Wang, Tianning Zang |
| 2024 | ICML | Entropy-Reinforced Planning with Large Language Models for Drug Discovery. | Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens |
| 2024 | KSEM | Meta-pruning: Learning to Prune on Few-Shot Learning. | Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang |
| 2024 | KSEM | Vicinal Data Augmentation for Classification Model via Feature Weaken. | Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang |
| 2023 | ICANN | Imbalanced Few-Shot Learning Based on Meta-transfer Learning. | Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan |
| 2023 | IJCAI | Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. | Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang |
| 2022 | GLOBECOM | Malicious Blockchain Domain Detection Based on Heterogeneous Information Network. | Jian Han, Zhonghua Wang, Songhao Jiang, Tianning Zang |