Yuzhang Shang

According to our database, Yuzhang Shang authored at least 46 papers between 2021 and 2025.

Collaborative distances:

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

2025

When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios.

Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang

CoRR, July, 2025

EA-ViT: Efficient Adaptation for Elastic Vision Transformer.

Chen Zhu, Wangbo Zhao, Huiwen Zhang, Samir Khaki, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang

CoRR, July, 2025

CaO₂: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation.

Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan

CoRR, June, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.

Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang

CoRR, May, 2025

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate.

Zhihang Yuan, Rui Xie, Yuzhang Shang, Hanling Zhang, Siyuan Wang, Shengen Yan, Guohao Dai, Yu Wang

CoRR, April, 2025

Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis.

Jiaqi Zhao, Ming Wang, Miao Zhang, Yuzhang Shang, Xuebo Liu, Yaowei Wang, Min Zhang, Liqiang Nie

CoRR, February, 2025

DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation.

Zhihang Yuan, Siyuan Wang, Rui Xie, Hanling Zhang, Tongcheng Fang, Yuzhang Shang, Shengen Yan, Guohao Dai, Yu Wang

CoRR, February, 2025

Quantized-ViT Efficient Training via Fisher Matrix Regularization.

Yuzhang Shang, Gaowen Liu, Ramana Kompella, Yan Yan

Proceedings of the MultiMedia Modeling, 2025

Online Multispectral Neuron Tracing.

Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Distilling Long-tailed Datasets.

Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture.

Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.

Kai Wang, Mingjia Shi, Yukun Zhou, Zekai Li, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning.

Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang

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

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models.

Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling.

Zhihang Yuan, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Bingxin Xu, Yan Yan, Shengen Yan, Guohao Dai, Yu Wang

CoRR, 2024

freePruner: A Training-free Approach for Large Multimodal Model Acceleration.

Bingxin Xu, Yuzhang Shang, Yunhao Ge, Qian Lou, Yan Yan

CoRR, 2024

Prompt Diffusion Robustifies Any-Modality Prompt Learning.

Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek

CoRR, 2024

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.

Mu Cai, Reuben Tan, Jianrui Zhang, Bocheng Zou, Kai Zhang, Feng Yao, Fangrui Zhu, Jing Gu, Yiwu Zhong, Yuzhang Shang, Yao Dou, Jaden Park, Jianfeng Gao, Yong Jae Lee, Jianwei Yang

CoRR, 2024

Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning.

Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan

CoRR, 2024

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner.

Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan

CoRR, 2024

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.

Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You

CoRR, 2024

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

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

HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning.

Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PTQ4DiT: Post-training Quantization for Diffusion Transformers.

Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FBPT: A Fully Binary Point Transformer.

Zhixing Hou, Yuzhang Shang, Yan Yan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PB-LLM: Partially Binarized Large Language Models.

Zhihang Yuan, Yuzhang Shang, Zhen Dong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Supplementing Missing Visions Via Dialog for Scene Graph Generations.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

Adaptive Cross-Architecture Mutual Knowledge Distillation.

Jianyuan Ni, Hao Tang, Yuzhang Shang, Bin Duan, Yan Yan

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Dataset Quantization with Active Learning Based Adaptive Sampling.

Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan

Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Post-Training Quantization Calibration Through Contrastive Learning.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Efficient Multitask Dense Predictor via Binarization.

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

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

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