Yuzhang Shang - RankMe

80 papers A* 14B 1Misc 3Journal 54Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Token Compression for Efficient Multimodal Large Language Models. Trans. Mach. Learn. Res. Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang
2026	J	`jnl`	Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation. CoRR Chongcong Jiang, Tianxingjian Ding, Chuhan Song, Jiachen Tu, Ziyang Yan, Yihua Shao, Zhenyi Wang, Yuzhang Shang, Tianyu Han, Yu Tian
2026	J	`jnl`	PackCache: A Training-Free Acceleration Method for Unified Autoregressive Video Generation via Compact KV-Cache. CoRR Kunyang Li, Mubarak Shah, Yuzhang Shang
2026	J	`jnl`	Real-Time Robot Execution with Masked Action Chunking. CoRR Haoxuan Wang, Gengyu Zhang, Yan Yan, Yuzhang Shang, Ramana Rao Kompella, Gaowen Liu
2026	J	`jnl`	SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models. CoRR Bingxin Xu, Yuzhang Shang, Binghui Wang, Emilio Ferrara
2026	J	`jnl`	V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval. CoRR Dongyang Chen, Chaoyang Wang, Dezhao Su, Xi Xiao, Zeyu Zhang, Jing Xiong, Qing Li, Yuzhang Shang, Shichao Kan
2026	J	`jnl`	VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning. CoRR Chaoyang Wang, Wenrui Bao, Sicheng Gao, Bingxin Xu, Yu Tian, Yogesh S. Rawat, Yunhao Ge, Yuzhang Shang
2025	A*	`conf`	A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CVPR Kai Wang, Mingjia Shi, Yukun Zhou, Zekai Li, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You
2025	J	`jnl`	AdaTooler-V: Adaptive Tool-Use for Images and Videos. CoRR Chaoyang Wang, Kaituo Feng, Dongyang Chen, Zhongyu Wang, Zhixun Li, Sicheng Gao, Meng Meng, Xu Zhou, Manyuan Zhang, Yuzhang Shang, Xiangyu Yue
2025	J	`jnl`	Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis. CoRR Jiaqi Zhao, Ming Wang, Miao Zhang, Yuzhang Shang, Xuebo Liu, Yaowei Wang, Min Zhang, Liqiang Nie
2025	J	`jnl`	ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms. CoRR Bingxin Xu, Zhen Dong, Oussama Elachqar, Yuzhang Shang
2025	J	`jnl`	CaO CoRR Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
2025	J	`jnl`	Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark. CoRR Xinxin Liu, Zhaopan Xu, Ming Li, Kai Wang, Yong Jae Lee, Yuzhang Shang
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR 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
2025	A*	`conf`	DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CVPR Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie
2025	A*	`conf`	DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. ACM Multimedia Zhihang Yuan, Siyuan Wang, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Shengen Yan, Guohao Dai, Yu Wang
2025	J	`jnl`	DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. CoRR Zhihang Yuan, Siyuan Wang, Rui Xie, Hanling Zhang, Tongcheng Fang, Yuzhang Shang, Shengen Yan, Guohao Dai, Yu Wang
2025	J	`jnl`	DictPFL: Efficient and Private Federated Learning on Encrypted Gradients. CoRR Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou
2025	J	`jnl`	Distill Video Datasets into Images. CoRR Zhenghao Zhao, Haoxuan Wang, Kai Wang, Yuzhang Shang, Yuan Hong, Yan Yan
2025	A*	`conf`	Distilling Long-tailed Datasets. CVPR Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan
2025	J	`jnl`	EA-ViT: Efficient Adaptation for Elastic Vision Transformer. CoRR Chen Zhu, Wangbo Zhao, Huiwen Zhang, Samir Khaki, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang
2025	J	`jnl`	Efficient Multimodal Dataset Distillation via Generative Models. CoRR Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
2025	—	`conf`	GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. ACL (Findings) Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang
2025	J	`jnl`	GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. CoRR Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang
2025	J	`jnl`	LRQuant+: A Unified and Learnable Framework to Post-Training Quantization for Transformer-Based Large Foundation Models. IEEE Trans. Pattern Anal. Mach. Intell. Jiaqi Zhao, Chao Zeng, Ming Wang, Linxuan Han, Yuzhang Shang, Miao Zhang, Liqiang Nie
2025	J	`jnl`	Learning to Parallel: Accelerating Diffusion Large Language Models via Adaptive Parallel Decoding. CoRR Wenrui Bao, Zhiben Chen, Dan Xu, Yuzhang Shang
2025	Misc	`conf`	Noise-based Regularized Training for Diffusion Models. MVA Yuzhang Shang, Yubin Lu, Jinchao Feng, Ming Zhong, Yan Yan
2025	—	`conf`	Online Multispectral Neuron Tracing. ISBI Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan
2025	—	`conf`	PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. ACL (1) Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang
2025	J	`jnl`	PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. CoRR Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang
2025	—	`conf`	Quantized-ViT Efficient Training via Fisher Matrix Regularization. MMM (3) Yuzhang Shang, Gaowen Liu, Ramana Kompella, Yan Yan
2025	J	`jnl`	ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows. CoRR 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
2025	J	`jnl`	VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate. CoRR Zhihang Yuan, Rui Xie, Yuzhang Shang, Hanling Zhang, Siyuan Wang, Shengen Yan, Guohao Dai, Yu Wang
2025	J	`jnl`	When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios. CoRR Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang
2024	J	`jnl`	A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CoRR Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You
2024	B	`conf`	Adaptive Cross-Architecture Mutual Knowledge Distillation. FG Jianyuan Ni, Hao Tang, Yuzhang Shang, Bin Duan, Yan Yan
2024	J	`jnl`	DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CoRR Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie
2024	—	`conf`	Dataset Quantization with Active Learning Based Adaptive Sampling. ECCV (60) Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan
2024	J	`jnl`	Dataset Quantization with Active Learning based Adaptive Sampling. CoRR Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan
2024	J	`jnl`	Distilling Long-tailed Datasets. CoRR Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan
2024	J	`jnl`	E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling. CoRR Zhihang Yuan, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Bingxin Xu, Yan Yan, Shengen Yan, Guohao Dai, Yu Wang
2024	A*	`conf`	Efficient Multitask Dense Predictor via Binarization. CVPR Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
2024	J	`jnl`	Efficient Multitask Dense Predictor via Binarization. CoRR Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
2024	A*	`conf`	Enhancing Post-Training Quantization Calibration Through Contrastive Learning. CVPR Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
2024	A*	`conf`	FBPT: A Fully Binary Point Transformer. ICRA Zhixing Hou, Yuzhang Shang, Yan Yan
2024	J	`jnl`	FBPT: A Fully Binary Point Transformer. CoRR Zhixing Hou, Yuzhang Shang, Yan Yan
2024	A*	`conf`	HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning. NeurIPS Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou
2024	J	`jnl`	Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan
2024	J	`jnl`	LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR 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
2024	J	`jnl`	LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. CoRR Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
2024	J	`jnl`	Online Multi-spectral Neuron Tracing. CoRR Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan
2024	A*	`conf`	PB-LLM: Partially Binarized Large Language Models. ICLR Zhihang Yuan, Yuzhang Shang, Zhen Dong
2024	A*	`conf`	PTQ4DiT: Post-training Quantization for Diffusion Transformers. NeurIPS Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
2024	J	`jnl`	PTQ4DiT: Post-training Quantization for Diffusion Transformers. CoRR Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
2024	J	`jnl`	Prompt Diffusion Robustifies Any-Modality Prompt Learning. CoRR Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek
2024	J	`jnl`	QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning. CoRR Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Yan Yan
2024	J	`jnl`	Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning. CoRR Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan
2024	Misc	`conf`	Supplementing Missing Visions Via Dialog for Scene Graph Generations. ICASSP Zhenghao Zhao, Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Yan Yan
2024	J	`jnl`	TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. CoRR 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
2024	J	`jnl`	freePruner: A Training-free Approach for Large Multimodal Model Acceleration. CoRR Bingxin Xu, Yuzhang Shang, Yunhao Ge, Qian Lou, Yan Yan
2023	J	`jnl`	ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models. CoRR Zhihang Yuan, Yuzhang Shang, Yue Song, Qiang Wu, Yan Yan, Guangyu Sun
2023	J	`jnl`	BPT: Binary Point Cloud Transformer for Place Recognition. CoRR Zhixing Hou, Yuzhang Shang, Tian Gao, Yan Yan
2023	A*	`conf`	Causal-DFQ: Causality Guided Data-free Network Quantization. ICCV Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
2023	J	`jnl`	Causal-DFQ: Causality Guided Data-free Network Quantization. CoRR Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Kompella, Yan Yan
2023	A*	`conf`	MIM4DD: Mutual Information Maximization for Dataset Distillation. NeurIPS Yuzhang Shang, Zhihang Yuan, Yan Yan
2023	J	`jnl`	MIM4DD: Mutual Information Maximization for Dataset Distillation. CoRR Yuzhang Shang, Zhihang Yuan, Yan Yan
2023	—	`conf`	Network Specialization via Feature-level Knowledge Distillation. CVPR Workshops Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella
2023	J	`jnl`	PB-LLM: Partially Binarized Large Language Models. CoRR Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong
2023	A*	`conf`	Post-Training Quantization on Diffusion Models. CVPR Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
2023	J	`jnl`	RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu
2022	—	`conf`	Lipschitz Continuity Retained Binary Neural Network. ECCV (11) Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
2022	J	`jnl`	Lipschitz Continuity Retained Binary Neural Network. CoRR Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
2022	—	`conf`	Network Binarization via Contrastive Learning. ECCV (11) Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan
2022	J	`jnl`	Network Binarization via Contrastive Learning. CoRR Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan
2022	J	`jnl`	Post-training Quantization on Diffusion Models. CoRR Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
2022	J	`jnl`	Supplementing Missing Visions via Dialog for Scene Graph Generations. CoRR Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Zhenghao Zhao, Yan Yan
2022	Misc	`conf`	Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning. ICASSP Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
2022	J	`jnl`	Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning. CoRR Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
2021	A*	`conf`	Lipschitz Continuity Guided Knowledge Distillation. ICCV Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
2021	J	`jnl`	Lipschitz Continuity Guided Knowledge Distillation. CoRR Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan