Lirui Zhao

I am currently a third-year Master's student in the Department of Artificial Intelligence, School of Informatics, Xiamen University, advised by Prof. Rongrong Ji.

My recent research interests include Efficient AI, Generative Models and LLM Agent.

I'm open to research collaborations and always excited to connect. Feel free to drop me an email if you're interested!

• GitHub
• [email protected]

Publications & Preprints

* indicates equal contribution

GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation

Pengfei Zhou, Xiaopeng Peng, Jiajun Song, Chuanhao Li, Zhaopan Xu, Yue Yang, Ziyao Guo, Hao Zhang, Yuqi Lin, Yefei He, Lirui Zhao, Shuo Liu, Tianhua Li, Yuxuan Xie, Xiaojun Chang, Yu Qiao, Wenqi Shao, Kaipeng Zhang
Computer Vision and Pattern Recognition Conference (CVPR), 2025   (Oral Presentation)
[arXiv] [code] [page]

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model

Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji
arXiv, 2024
[arXiv] [code] [page]

Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao
Neural Information Processing Systems (NeurIPS), 2024
[arXiv] [code]

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model

Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji
Computer Vision and Pattern Recognition Conference (CVPR), 2024
[arXiv] [code]

Dynamic Sparse No Training: Training-free Fine-tuning for Sparse LLMs

Yuxin Zhang*, Lirui Zhao*, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
International Conference on Learning Representations (ICLR), 2024
[arXiv] [code]

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
International Conference on Learning Representations (ICLR), 2024   (Spotlight)
[arXiv] [code]

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• Conference Reviewer: NeurIPS, ICML, CVPR

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