Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models. - Jerry Yao-Chieh Hu; Maojiang Su; En-Jui Kuo; Zhao Song 002; Han Liu 001 (CoRR, 2024)

Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training. - Weimin Wu; Maojiang Su; Jerry Yao-Chieh Hu; Zhao Song 002; Han Liu 001 (CoRR, 2024)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models. - Jerry Yao-Chieh Hu; Maojiang Su; En-Jui Kuo; Zhao Song 002; Han Liu 001 (ICLR, 2025)

Fast and Low-Cost Genomic Foundation Models via Outlier Removal. - Haozheng Luo; Chenghao Qiu; Maojiang Su; Zhihan Zhou 001; Zoe Mehta; Guo Ye; Jerry Yao-Chieh Hu; Han Liu 001 (CoRR, 2025)

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions. - Jerry Yao-Chieh Hu; Xiwen Zhang; Maojiang Su; Zhao Song 002; Han Liu 001 (CoRR, 2025)