ML Anthology

Shang, Yuzhang

26 publications

TMLR 2026 A Survey of Token Compression for Efficient Multimodal Large Language Models Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang
CVPR 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
ICCV 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
CVPR 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie
ICCV 2025 DLFR-Gen: 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
NeurIPS 2025 DictPFL: Efficient and Private Federated Learning on Encrypted Gradients Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou
CVPR 2025 Distilling Long-Tailed Datasets Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan
ICCV 2025 EA-ViT: Efficient Adaptation for Elastic Vision Transformer Chen Zhu, Wangbo Zhao, Huiwen Zhang, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang
NeurIPS 2025 Efficient Multimodal Dataset Distillation via Generative Models Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
ICCV 2025 LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
ICCV 2025 QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan
ICCV 2025 Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan
ECCV 2024 Dataset Quantization with Active Learning Based Adaptive Sampling Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan
CVPR 2024 Efficient Multitask Dense Predictor via Binarization Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
CVPR 2024 Enhancing Post-Training Quantization Calibration Through Contrastive Learning Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
NeurIPS 2024 HEPrune: Fast Private Training of Deep Neural Networks with Encrypted Data Pruning Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou
ICLR 2024 PB-LLM: Partially Binarized Large Language Models Zhihang Yuan, Yuzhang Shang, Zhen Dong
NeurIPS 2024 PTQ4DiT: Post-Training Quantization for Diffusion Transformers Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
NeurIPSW 2024 TemporalBench: Benchmarking Fine-Grained Temporal Understanding for Multimodal Video Models Mu Cai, Reuben Tan, Jianrui Zhang, Bocheng Zou, Kai Zhang, Yao Feng, Fangrui Zhu, Jing Gu, Yiwu Zhong, Yuzhang Shang, Yao Dou, Jaden Park, Jianfeng Gao, Yong Jae Lee, Jianwei Yang
ICCV 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
NeurIPS 2023 MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang, Zhihang Yuan, Yan Yan
CVPRW 2023 Network Specialization via Feature-Level Knowledge Distillation Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella
CVPR 2023 Post-Training Quantization on Diffusion Models Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
ECCV 2022 Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
ECCV 2022 Network Binarization via Contrastive Learning Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan
ICCV 2021 Lipschitz Continuity Guided Knowledge Distillation Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan