Capability as Requirement Metaphor. - Jiang Cao; XinJun Mao; Huining Yan; Yushi Huang; Huaimin Wang; Xicheng Lu (TrustCom, 2011)

The Influence of a Virtual Physics Experiment Learning Environment on Grade 9 Students' Motivation towards Physics Learning. - Yushi Huang; Alex Wing Cheung Tse (ICCE, 2022)

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. - Yushi Huang; Ruihao Gong; Jing Liu 048; Tianlong Chen 001; Xianglong Liu 001 (CVPR, 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 001 (EMNLP (Industry Track), 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 001 (ACM Multimedia, 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 001; Dacheng Tao (CoRR, 2024)

Temporal Feature Matters: A Framework for Diffusion Model Quantization. - Yushi Huang; Ruihao Gong; Xianglong Liu 001; Jing Liu 048; Yuhang Li 001; Jiwen Lu; Dacheng Tao (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)

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 001 (CoRR, 2024)

QVGen: Pushing the Limit of Quantized Video Generative Models. - Yushi Huang; Ruihao Gong; Jing Liu; Yifu Ding; Chengtao Lv; Haotong Qin; Jun Zhang (CoRR, 2025)

VLMQ: Efficient Post-Training Quantization for Large Vision-Language Models via Hessian Augmentation. - Yufei Xue; Yushi Huang; Jiawei Shao; Jun Zhang (CoRR, 2025)

SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning. - Lingkun Long; Rubing Yang; Yushi Huang; Desheng Hui; Ao Zhou; Jianlei Yang (CoRR, 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, 2025)