Huaizhi Qu

According to our database, Huaizhi Qu authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction.

Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan

CoRR, May, 2025

DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation.

Pingzhi Li, Zhen Tan, Huaizhi Qu, Huan Liu, Tianlong Chen

CoRR, May, 2025

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer.

Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen

CoRR, April, 2025

LucidAtlas$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations.

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

CoRR, February, 2025

Data for "CryoNeRF: neural radiance field for homogeneous and heterogeneous cryo-EM reconstruction".

Huaizhi Qu, Xiao Wang, Yuanyuan Zhang, Sheng Wang, William S. Noble, Tianlong Chen

Dataset, January, 2025

Data for "CryoNeRF: neural radiance field for homogeneous and heterogeneous cryo-EM reconstruction".

Huaizhi Qu, Xiao Wang, Yuanyuan Zhang, Sheng Wang, William S. Noble, Tianlong Chen

Dataset, January, 2025

UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging.

Huaizhi Qu, Xinyu Zhao, Jie Peng, Kwonjoon Lee, Behzad Dariush, Tianlong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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