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2020 – today
- 2025
[c5]Xinye Yang, Yuxin Yang, Haoran Pang, Aaron Xuxiang Tian, Luking Li:
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models. AAAI 2025: 9310-9317- [c4]Chen Yang, Yangfan He, Aaron Xuxiang Tian, Dong Chen, Jianhui Wang, Tianyu Shi, Arsalan Heydarian
, Pei Liu:
Wcdt: World-Centric Diffusion Transformer for Traffic Scene Generation. ICRA 2025: 6566-6572 - [i6]Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian:
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment. CoRR abs/2502.01033 (2025) - [i5]Aaron Xuxiang Tian, Ruofan Zhang, Janet Tang, Jiaxin Wen:
Measuring Harmfulness of Computer-Using Agents. CoRR abs/2508.00935 (2025) - [i4]Aaron Xuxiang Tian, Ruofan Zhang, Jiayao Tang, Young Min Cho, Xueqian Li, Qiang Yi, Ji Wang, Zhunping Zhang, Danrui Qi, Zekun Li, Xingyu Xiang, Sharath Chandra Guntuku, Lyle H. Ungar, Tianyu Shi, Chi Wang:
Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks. CoRR abs/2509.23537 (2025) - 2024
- [c3]Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie:
IAPT: Instance-Aware Prompt Tuning for Large Language Models. ACL (1) 2024: 14285-14304 - [c2]Aaron Xuxiang Tian, Yi Zhao, Congrui Yin, Wei Zhu, Xing Tian, Yi Ge:
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning. EMNLP (Industry Track) 2024: 515-528 - [c1]Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian:
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment. EMNLP (Industry Track) 2024: 728-737 - [i3]Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, Arsalan Heydarian:
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation. CoRR abs/2404.02082 (2024) - [i2]Mingrui Li, Jingwei Huang, Lei Sun, Aaron Xuxiang Tian, Tianchen Deng, Hongyu Wang:
NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap. CoRR abs/2405.05702 (2024) - [i1]Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie:
IAPT: Instruction-Aware Prompt Tuning for Large Language Models. CoRR abs/2405.18203 (2024)
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