Huaizhi Qu

According to our database, Huaizhi Qu authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching.

Jie Peng, Zhang Cao, Huaizhi Qu, Zhengyu Zhang, Chang Guo, Yanyong Zhang, Zhichao Cao, Tianlong Chen

CoRR, 2024

Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications.

Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin

CoRR, 2024

Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields.

Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network.

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

Proceedings of the IEEE International Conference on Cluster Computing, 2023