IAPT: Instance-Aware Prompt Tuning for Large Language Models. - Wei Zhu 016; Aaron Xuxiang Tian; Congrui Yin; Yuan Ni; Xiaoling Wang 004; Guotong Xie (ACL (1), 2024)

PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment. - Zequan Liu; Yi Zhao; Ming Tan; Wei Zhu; Aaron Xuxiang Tian (EMNLP (Industry Track), 2024)

FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning. - Aaron Xuxiang Tian; Yi Zhao; Congrui Yin; Wei Zhu; Xing Tian; Yi Ge (EMNLP (Industry Track), 2024)

WcDT: World-centric Diffusion Transformer for Traffic Scene Generation. - Chen Yang; Aaron Xuxiang Tian; Dong Chen 016; Tianyu Shi; Arsalan Heydarian (CoRR, 2024)

NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap. - Mingrui Li; Jingwei Huang; Lei Sun; Aaron Xuxiang Tian; Tianchen Deng; Hongyu Wang (CoRR, 2024)

IAPT: Instruction-Aware Prompt Tuning for Large Language Models. - Wei Zhu 016; Aaron Xuxiang Tian; Congrui Yin; Yuan Ni; Xiaoling Wang 004; Guotong Xie (CoRR, 2024)

FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models. - Xinye Yang; Yuxin Yang; Haoran Pang; Aaron Xuxiang Tian; Luking Li (AAAI, 2025)

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment. - Zequan Liu; Yi Zhao; Ming Tan; Wei Zhu 016; Aaron Xuxiang Tian (CoRR, 2025)

Measuring Harmfulness of Computer-Using Agents. - Aaron Xuxiang Tian; Ruofan Zhang; Janet Tang; Jiaxin Wen (CoRR, 2025)