Transformer-based model for symbolic regression via joint supervised learning. - Wenqiang Li; Weijun Li; Linjun Sun; Min Wu; Lina Yu; Jingyi Liu; Yanjie Li; Songsong Tian (ICLR, 2023)

Continuous transfer of neural network representational similarity for incremental learning. - Songsong Tian; Weijun Li 002; Xin Ning 001; Hang Ran; Hong Qin 007; Prayag Tiwari (Neurocomputing, 2023)

A survey on few-shot class-incremental learning. - Songsong Tian; Lusi Li; Weijun Li 002; Hang Ran; Xin Ning 001; Prayag Tiwari (Neural Networks, 2024)

Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning. - Hang Ran; Weijun Li 002; Lusi Li; Songsong Tian; Xin Ning 001; Prayag Tiwari (Inf. Process. Manag., 2024)

Brain-Inspired Fast- and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning. - Hang Ran; Xingyu Gao 001; Lusi Li; Weijun Li 002; Songsong Tian; Gang Wang 023; Hailong Shi; Xin Ning 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)