Hi, I am Luping Liu (刘路平). I am a second-year Master's student in Computer Science from Zhejiang University, supervised by Pro. Zhou Zhao. I also collaborate with Yi Ren (Bytedance AI Lab), Chongxuan Li (Renmin University of China) closely. Prior to that, I just obtained my Bachelor’s degree in Mathematics from Chu Kochen Honors College, Zhejiang University, supervised by Pro. Feng Wang. For now, I focus on the acceleration and application of diffusion models, security and generalization of AI. My ultimate goal is to build general artificial intelligence to free people from repetitive and tedious work.

I am looking for a 2024 Fall PhD position and academic collaboration. If you are interested in my work, please feel free to contact me via email at luping.liu@zju.edu.cn.

• Personal Page: https://luping-liu.github.io
• Google Scholar: https://scholar.google.com/citations?user=DIHzHQYAAAAJ

• 2023.07: I begin an intership at Tencent, working on the Hunyuan Text-to-Image Project.
• 2023.04: 🎉🎉 I get my first 100 citations on Google Scholar.
• 2023.04: One paper is accepted by ICML 2023.
• 2022.10: 🎉🎉 I win the 2022 national scholarship.
• 2022.05: My PNDM is used as the default acceleration sampling method for CompVis/stable-diffusion .
• 2022.02: I release the official implementation for PNDM (ICLR 2022).

• Pseudo Numerical Methods for Diffusion Models on Manifolds. Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao. ICLR 2022 |
• Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection. Luping Liu, Yi Ren, Xize Cheng, Zhou Zhao. preprint |
• Detector Guidance for Multi-Object Text-to-Image Generation. Luping Liu, Zijian Zhang, Yi Ren, Rongjie Huang, Xiang Yin, Zhou Zhao. Preprint
• ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models. Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan. Preprint
• PTQD: Accurate Post-Training Quantization for Diffusion Models. Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang. Preprint
• Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models, Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao. ICML 2023
• Make-A-Voice: Unified Voice Synthesis With Discrete Representation. Rongjie Huang, Chunlei Zhang, Yongqi Wang, Dongchao Yang, Luping Liu, Zhenhui Ye, Ziyue Jiang, Chao Weng, Zhou Zhao, Dong Yu. Preprint