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2020 – today
- 2025
[i3]Yining Jiao, Sreekalyani Bhamidi, Huaizhi Qu, Carlton J. Zdanski, Julia S. Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Tianlong Chen, Marc Niethammer:
LucidAtlas$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations. CoRR abs/2502.08445 (2025)- 2024
- [c2]Yonggan Fu, Huaizhi Qu, Zhifan Ye
, Chaojian Li, Kevin Zhao, Yingyan Lin:
Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields. ECCV (16) 2024: 153-174 - [i2]Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin:
Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications. CoRR abs/2403.11131 (2024) - [i1]Jie Peng, Zhang Cao, Huaizhi Qu, Zhengyu Zhang, Chang Guo, Yanyong Zhang, Zhichao Cao, Tianlong Chen:
Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching. CoRR abs/2410.14740 (2024) - 2023
- [c1]Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun:
GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network. CLUSTER 2023: 318-329
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