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ORCIDYuzhang Shang
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2020 – today
- 2024
[c14]Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CVPR 2024: 15899-15908- [c13]Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Enhancing Post-Training Quantization Calibration Through Contrastive Learning. CVPR 2024: 15921-15930 - [c12]Jianyuan Ni, Hao Tang, Yuzhang Shang, Bin Duan, Yan Yan:
Adaptive Cross-Architecture Mutual Knowledge Distillation. FG 2024: 1-5 - [c11]Zhenghao Zhao, Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Yan Yan:
Supplementing Missing Visions Via Dialog for Scene Graph Generations. ICASSP 2024: 3375-3379 - [c10]Zhihang Yuan, Yuzhang Shang, Zhen Dong:
PB-LLM: Partially Binarized Large Language Models. ICLR 2024 - [c9]Zhixing Hou, Yuzhang Shang, Yan Yan:
FBPT: A Fully Binary Point Transformer. ICRA 2024: 11163-11170 - [i25]Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Yan Yan:
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning. CoRR abs/2402.03666 (2024) - [i24]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:
LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR abs/2402.16363 (2024) - [i23]Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan:
Online Multi-spectral Neuron Tracing. CoRR abs/2403.06251 (2024) - [i22]Zhixing Hou, Yuzhang Shang, Yan Yan:
FBPT: A Fully Binary Point Transformer. CoRR abs/2403.09998 (2024) - [i21]Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan:
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. CoRR abs/2403.15388 (2024) - [i20]Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CoRR abs/2405.14136 (2024) - [i19]Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan:
PTQ4DiT: Post-training Quantization for Diffusion Transformers. CoRR abs/2405.16005 (2024) - [i18]Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You:
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CoRR abs/2405.17403 (2024) - [i17]Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan:
Dataset Quantization with Active Learning based Adaptive Sampling. CoRR abs/2407.07268 (2024) - [i16]Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan:
Distilling Long-tailed Datasets. CoRR abs/2408.14506 (2024) - [i15]Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie:
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CoRR abs/2409.03550 (2024) - [i14]Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan:
Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR abs/2409.12963 (2024) - [i13]Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan:
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning. CoRR abs/2410.00255 (2024) - 2023
- [c8]Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan:
Post-Training Quantization on Diffusion Models. CVPR 2023: 1972-1981 - [c7]Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella:
Network Specialization via Feature-level Knowledge Distillation. CVPR Workshops 2023: 3368-3375 - [c6]Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Causal-DFQ: Causality Guided Data-free Network Quantization. ICCV 2023: 17391-17400 - [c5]Yuzhang Shang, Zhihang Yuan, Yan Yan:
MIM4DD: Mutual Information Maximization for Dataset Distillation. NeurIPS 2023 - [i12]Zhixing Hou, Yuzhang Shang, Tian Gao, Yan Yan:
BPT: Binary Point Cloud Transformer for Place Recognition. CoRR abs/2303.01166 (2023) - [i11]Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu:
RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR abs/2304.01089 (2023) - [i10]Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Kompella, Yan Yan:
Causal-DFQ: Causality Guided Data-free Network Quantization. CoRR abs/2309.13682 (2023) - [i9]Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong:
PB-LLM: Partially Binarized Large Language Models. CoRR abs/2310.00034 (2023) - [i8]Zhihang Yuan, Yuzhang Shang, Yue Song, Qiang Wu, Yan Yan, Guangyu Sun:
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models. CoRR abs/2312.05821 (2023) - [i7]Yuzhang Shang, Zhihang Yuan, Yan Yan:
MIM4DD: Mutual Information Maximization for Dataset Distillation. CoRR abs/2312.16627 (2023) - 2022
- [c4]Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan:
Network Binarization via Contrastive Learning. ECCV (11) 2022: 586-602 - [c3]Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Retained Binary Neural Network. ECCV (11) 2022: 603-619 - [c2]Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning. ICASSP 2022: 4203-4207 - [i6]Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning. CoRR abs/2201.12712 (2022) - [i5]Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Zhenghao Zhao, Yan Yan:
Supplementing Missing Visions via Dialog for Scene Graph Generations. CoRR abs/2204.11143 (2022) - [i4]Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan:
Network Binarization via Contrastive Learning. CoRR abs/2207.02970 (2022) - [i3]Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Retained Binary Neural Network. CoRR abs/2207.06540 (2022) - [i2]Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan:
Post-training Quantization on Diffusion Models. CoRR abs/2211.15736 (2022) - 2021
- [c1]Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Guided Knowledge Distillation. ICCV 2021: 10655-10664 - [i1]Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Guided Knowledge Distillation. CoRR abs/2108.12905 (2021)
Coauthor Index
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