A Closer Look at Few-shot Classification Again. - Xu Luo 003; Hao Wu 070; Ji Zhang 012; Lianli Gao; Jing Xu; Jingkuan Song (ICML, 2023)

Effective and Efficient Few-shot Fine-tuning for Vision Transformers. - Junjie Yang; Hao Wu 070; Ji Zhang 012; Lianli Gao; Jingkuan Song (ICME, 2024)

Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 2024)

Benchmarking Large Language Models via Random Variables. - Zijin Hong; Hao Wu 070; Su Dong; Junnan Dong; Yilin Xiao 002; Yujing Zhang; Zhu Wang; Feiran Huang; Linyi Li; Hongxia Yang; Xiao Huang 001 (CoRR, 2025)

MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration. - Runzhen Xue; Hao Wu 070; Mingyu Yan; Ziheng Xiao; Xiaochun Ye; Dongrui Fan (CoRR, 2025)

InSpire: Vision-Language-Action Models with Intrinsic Spatial Reasoning. - Ji Zhang 012; Shihan Wu 001; Xu Luo 003; Hao Wu 070; Lianli Gao; Heng Tao Shen; Jingkuan Song (CoRR, 2025)

Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach. - Xiaoran Yin; Xu Luo 003; Hao Wu 070; Lianli Gao; Jingkuan Song (CoRR, 2025)