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2020 – today
- 2025
[j1]Jiaqi Zhao
, Chao Zeng, Ming Wang, Linxuan Han, Yuzhang Shang, Miao Zhang, Liqiang Nie:
LRQuant+: A Unified and Learnable Framework to Post-Training Quantization for Transformer-Based Large Foundation Models. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 11817-11833 (2025)- [c25]Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang:
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. ACL (1) 2025: 4483-4502 - [c24]Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang:
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. ACL (Findings) 2025: 22971-22988 - [c23]Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie:
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CVPR 2025: 2955-2965 - [c22]Kai Wang, Mingjia Shi, Yukun Zhou, Zekai Li, 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. CVPR 2025: 12934-12944 - [c21]Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan:
Distilling Long-tailed Datasets. CVPR 2025: 30609-30618 - [c20]Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan:
Online Multispectral Neuron Tracing. ISBI 2025: 1-5 - [c19]Yuzhang Shang, Gaowen Liu, Ramana Kompella, Yan Yan:
Quantized-ViT Efficient Training via Fisher Matrix Regularization. MMM (3) 2025: 270-284 - [c18]Yuzhang Shang, Yubin Lu, Jinchao Feng, Ming Zhong, Yan Yan:
Noise-based Regularized Training for Diffusion Models. MVA 2025: 1-6 - [i43]Zhihang Yuan, Siyuan Wang, Rui Xie, Hanling Zhang, Tongcheng Fang, Yuzhang Shang, Shengen Yan, Guohao Dai, Yu Wang:
DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. CoRR abs/2502.11897 (2025) - [i42]Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang:
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. CoRR abs/2502.12913 (2025) - [i41]Jiaqi Zhao, Ming Wang, Miao Zhang, Yuzhang Shang, Xuebo Liu, Yaowei Wang, Min Zhang, Liqiang Nie:
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis. CoRR abs/2502.13178 (2025) - [i40]Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang:
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. CoRR abs/2502.13179 (2025) - [i39]Zhihang Yuan, Rui Xie, Yuzhang Shang, Hanling Zhang, Siyuan Wang, Shengen Yan, Guohao Dai, Yu Wang:
VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate. CoRR abs/2504.12259 (2025) - [i38]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:
DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR abs/2505.13300 (2025) - [i37]Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan:
CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation. CoRR abs/2506.22637 (2025) - [i36]Chen Zhu, Wangbo Zhao, Huiwen Zhang, Samir Khaki, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang:
EA-ViT: Efficient Adaptation for Elastic Vision Transformer. CoRR abs/2507.19360 (2025) - [i35]Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang:
When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios. CoRR abs/2507.20198 (2025) - [i34]Bingxin Xu, Zhen Dong, Oussama Elachqar, Yuzhang Shang:
ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms. CoRR abs/2509.09679 (2025) - [i33]Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan:
Efficient Multimodal Dataset Distillation via Generative Models. CoRR abs/2509.15472 (2025) - [i32]Wenrui Bao, Zhiben Chen, Dan Xu, Yuzhang Shang:
Learning to Parallel: Accelerating Diffusion Large Language Models via Adaptive Parallel Decoding. CoRR abs/2509.25188 (2025) - [i31]Penghao Wang, Yuhao Zhou, Mengxuan Wu, Ziheng Qin, Bangyuan Zhu, Shengbin Huang, Xuanlei Zhao, Panpan Zhang, Xiaojiang Peng, Yuzhang Shang, Jianfei Yang, Zheng Zhu, Tianlong Chen, Zhangyang Wang, Kai Wang:
ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows. CoRR abs/2510.20279 (2025) - [i30]Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou:
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients. CoRR abs/2510.21086 (2025) - 2024
- [c17]Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CVPR 2024: 15899-15908 - [c16]Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Enhancing Post-Training Quantization Calibration Through Contrastive Learning. CVPR 2024: 15921-15930 - [c15]Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan:
Dataset Quantization with Active Learning Based Adaptive Sampling. ECCV (60) 2024: 346-362 - [c14]Jianyuan Ni, Hao Tang, Yuzhang Shang, Bin Duan, Yan Yan:
Adaptive Cross-Architecture Mutual Knowledge Distillation. FG 2024: 1-5 - [c13]Zhenghao Zhao, Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Yan Yan:
Supplementing Missing Visions Via Dialog for Scene Graph Generations. ICASSP 2024: 3375-3379 - [c12]Zhihang Yuan, Yuzhang Shang, Zhen Dong:
PB-LLM: Partially Binarized Large Language Models. ICLR 2024 - [c11]Zhixing Hou, Yuzhang Shang, Yan Yan:
FBPT: A Fully Binary Point Transformer. ICRA 2024: 11163-11170 - [c10]Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan:
PTQ4DiT: Post-training Quantization for Diffusion Transformers. NeurIPS 2024 - [c9]Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou:
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning. NeurIPS 2024 - [i29]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) - [i28]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) - [i27]Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan:
Online Multi-spectral Neuron Tracing. CoRR abs/2403.06251 (2024) - [i26]Zhixing Hou, Yuzhang Shang, Yan Yan:
FBPT: A Fully Binary Point Transformer. CoRR abs/2403.09998 (2024) - [i25]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) - [i24]Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Efficient Multitask Dense Predictor via Binarization. CoRR abs/2405.14136 (2024) - [i23]Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan:
PTQ4DiT: Post-training Quantization for Diffusion Transformers. CoRR abs/2405.16005 (2024) - [i22]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) - [i21]Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan:
Dataset Quantization with Active Learning based Adaptive Sampling. CoRR abs/2407.07268 (2024) - [i20]Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan:
Distilling Long-tailed Datasets. CoRR abs/2408.14506 (2024) - [i19]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) - [i18]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) - [i17]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) - [i16]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:
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. CoRR abs/2410.10818 (2024) - [i15]Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek:
Prompt Diffusion Robustifies Any-Modality Prompt Learning. CoRR abs/2410.20164 (2024) - [i14]Bingxin Xu, Yuzhang Shang, Yunhao Ge, Qian Lou, Yan Yan:
freePruner: A Training-free Approach for Large Multimodal Model Acceleration. CoRR abs/2411.15446 (2024) - [i13]Zhihang Yuan, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Bingxin Xu, Yan Yan, Shengen Yan, Guohao Dai, Yu Wang:
E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling. CoRR abs/2412.14170 (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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