Yuexiao Ma

According to our database, Yuexiao Ma authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation.

Qingchuan Ma, Yuexiao Ma, Yongkang Xie, Tianyu Xie, Xiawu Zheng, Rongrong Ji

CoRR, May, 2026

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention.

Xuzhe Zheng, Yuexiao Ma, Jing Xu, Xiawu Zheng, Rongrong Ji, Fei Chao

CoRR, May, 2026

ALGOGEN: Tool-Generated Verifiable Traces for Reliable Algorithm Visualization.

Kunpeng Liao, Yuexiao Ma, Yisheng Lin, Hualin Zeng, Xiawu Zheng, Rongrong Ji

CoRR, May, 2026

Motion-Aware Caching for Efficient Autoregressive Video Generation.

Jing Xu, Yuexiao Ma, Xuzhe Zheng, Xing Wang, Shiwei Liu, Chenqian Yan, Xiawu Zheng, Rongrong Ji, Fei Chao, Songwei Liu

CoRR, May, 2026

SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models.

Tianyu Xie, Jinfa Huang, Yuexiao Ma, Rongfang Luo, Yan Yang, Wang Chen, Yuhui Zeng, Ruize Fang, Yixuan Zou, Xiawu Zheng, Jiebo Luo, Rongrong Ji

CoRR, March, 2026

Flow caching for autoregressive video generation.

Yuexiao Ma, Xuzhe Zheng, Jing Xu, Xiwei Xu, Feng Ling, Xiawu Zheng, Huafeng Kuang, Huixia Li, Xing Wang, Xuefeng Xiao, Fei Chao, Rongrong Ji

CoRR, February, 2026

2025

An Information Theory-Inspired Strategy for Automated Network Pruning.

Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji

Int. J. Comput. Vis., August, 2025

Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models.

Xiao Yang, Huixia Li, Lijiang Li, Xiawu Zheng, Yuexiao Ma, Feng Ling, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Fei Chao

Proceedings of the International Joint Conference on Neural Networks, 2025

polybasic Speculative Decoding Through a Theoretical Perspective.

Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji

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

Automated Fine-Grained Mixture-of-Experts Quantization.

Zhanhao Xie, Yuexiao Ma, Xiawu Zheng, Fei Chao, Wanchen Sui, Yong Li, Shen Li, Rongrong Ji

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Outlier-aware Slicing for Post-Training Quantization in Vision Transformer.

Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AffineQuant: Affine Transformation Quantization for Large Language Models.

Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective.

Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OMPQ: Orthogonal Mixed Precision Quantization.

Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

OMPQ: Orthogonal Mixed Precision Quantization.

Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Guannan Jiang, Wei Zhang, Rongrong Ji

CoRR, 2021

An Information Theory-inspired Strategy for Automatic Network Pruning.

Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji

CoRR, 2021