Yushi Huang

According to our database, Yushi Huang authored at least 24 papers between 2011 and 2026.

Collaborative distances:

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

2026

SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation.

Zhuguanyu Wu, Ruihao Gong, Yang Yong, Yushi Huang, Xiangyu Fan, Lei Yang, Dahua Lin, Xianglong Liu

CoRR, May, 2026

Reinforcing Few-step Generators via Reward-Tilted Distribution Matching.

Yushi Huang, Xiangxin Zhou, Ruoyu Wang, Chi Zhang, Jun Zhang, Tianyu Pang

CoRR, May, 2026

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation.

Xingtong Ge, Yi Zhang, Yushi Huang, Dailan He, Xiahong Wang, Bingqi Ma, Guanglu Song, Yu Liu, Jun Zhang

CoRR, April, 2026

Real-Time Human Frontal View Synthesis from a Single Image.

Fangyu Lin, Yingdong Hu, Lunjie Zhu, Zhening Liu, Yushi Huang, Zehong Lin, Jun Zhang

CoRR, March, 2026

Flash-VAED: Plug-and-Play VAE Decoders for Efficient Video Generation.

Lunjie Zhu, Yushi Huang, Xingtong Ge, Yufei Xue, Zhening Liu, Yumeng Zhang, Zehong Lin, Jun Zhang

CoRR, February, 2026

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention.

Chengtao Lv, Yumeng Shi, Yushi Huang, Ruihao Gong, Shen Ren, Wenya Wang

CoRR, February, 2026

Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing.

Lingkun Long, Yushi Huang, Shihao Bai, Ruihao Gong, Jun Zhang, Ao Zhou, Jianlei Yang

CoRR, February, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Feed-Forward 3D Gaussian Splatting Compression with Long-Context Modeling.

Zhening Liu, Rui Song, Yushi Huang, Yingdong Hu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang

CoRR, December, 2025

MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping.

Yushi Huang, Zining Wang, Zhihang Yuan, Yifu Ding, Ruihao Gong, Jinyang Guo, Xianglong Liu, Jun Zhang

CoRR, November, 2025

Temporal Feature Matters: A Framework for Diffusion Model Quantization.

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

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation.

Yushi Huang, Xingtong Ge, Ruihao Gong, Chengtao Lv, Jun Zhang

CoRR, October, 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

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Field Trial of Telecom-Grade Sub-50ms Protection in Wave-Length Switched Optical Networks for Lossless Large Language Model Multi-Datacenter Distributed Training.

Yuyang Liu, Anxu Zhang, Kai Lv, Xishuo Wang, Lipeng Feng, Hao Liu, Xia Sheng, Cong Li, Siwei Ji, Tao Ma, Tianhai Chang, Qingcong Lu, Luo Han, Huabo Wang, Danming Huang, Yushi Huang, Xinchao Liu, Wei Jia, Xiaoli Huo, Junjie Li, Chengliang Zhang

Proceedings of the European Conference on Optical Communications, 2025

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

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