Yushi Huang

According to our database, Yushi Huang authored at least 13 papers between 2011 and 2025.

Collaborative distances:

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

2025

LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit.

Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang

CoRR, August, 2025

SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning.

Lingkun Long, Rubing Yang, Yushi Huang, Desheng Hui, Ao Zhou, Jianlei Yang

CoRR, August, 2025

VLMQ: Efficient Post-Training Quantization for Large Vision-Language Models via Hessian Augmentation.

Yufei Xue, Yushi Huang, Jiawei Shao, Jun Zhang

CoRR, August, 2025

QVGen: Pushing the Limit of Quantized Video Generative Models.

Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang

CoRR, May, 2025

2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models.

Zining Wnag, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

CoRR, 2024

HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration.

Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jun Zhang

CoRR, 2024

Temporal Feature Matters: A Framework for Diffusion Model Quantization.

Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao

CoRR, 2024

LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models.

Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Yunchen Zhang, Xianglong Liu, Dacheng Tao

CoRR, 2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models.

Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit.

Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models.

Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu

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

2022

The Influence of a Virtual Physics Experiment Learning Environment on Grade 9 Students' Motivation towards Physics Learning.

Yushi Huang, Alex Wing Cheung Tse

Proceedings of the Proceeding of the 30th International Conference on Computers in Education, 2022

2011

Capability as Requirement Metaphor.

Jiang Cao, XinJun Mao, Huining Yan, Yushi Huang, Huaimin Wang, Xicheng Lu

Proceedings of the IEEE 10th International Conference on Trust, 2011