Yuzhang Shang

According to our database, Yuzhang Shang authored at least 18 papers between 2021 and 2024.

Collaborative distances:

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

2024

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models.

Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan

CoRR, 2024

FBPT: A Fully Binary Point Transformer.

Zhixing Hou, Yuzhang Shang, Yan Yan

CoRR, 2024

Online Multi-spectral Neuron Tracing.

Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan

CoRR, 2024

LLM Inference Unveiled: Survey and Roofline Model Insights.

Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer

CoRR, 2024

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning.

Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Yan Yan

CoRR, 2024

2023

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

Zhihang Yuan, Yuzhang Shang, Yue Song, Qiang Wu, Yan Yan, Guangyu Sun

CoRR, 2023

PB-LLM: Partially Binarized Large Language Models.

Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong

CoRR, 2023

RPTQ: Reorder-based Post-training Quantization for Large Language Models.

Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu

CoRR, 2023

BPT: Binary Point Cloud Transformer for Place Recognition.

Zhixing Hou, Yuzhang Shang, Tian Gao, Yan Yan

CoRR, 2023

MIM4DD: Mutual Information Maximization for Dataset Distillation.

Yuzhang Shang, Zhihang Yuan, Yan Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal-DFQ: Causality Guided Data-free Network Quantization.

Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Post-Training Quantization on Diffusion Models.

Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Network Specialization via Feature-level Knowledge Distillation.

Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Supplementing Missing Visions via Dialog for Scene Graph Generations.

Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Zhenghao Zhao, Yan Yan

CoRR, 2022

Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning.

Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

Proceedings of the IEEE International Conference on Acoustics, 2022

Network Binarization via Contrastive Learning.

Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

Lipschitz Continuity Retained Binary Neural Network.

Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Lipschitz Continuity Guided Knowledge Distillation.

Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021