Zukang Xu

According to our database, Zukang Xu authored at least 15 papers between 1995 and 2026.

Collaborative distances:

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

2026

MGVQ: Synergizing Multi-dimensional Sensitivity-Aware and Gradient-Hessian Fusion for Vector Quantization.

Zhong Wang, Zukang Xu, Xing Hu, Dawei Yang

CoRR, May, 2026

TORQ: Two-Level Orthogonal Rotation for MXFP4 Quantization.

Zukang Xu, Xing Hu, Dawei Yang

CoRR, May, 2026

KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models.

Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang

CoRR, February, 2026

SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression.

Xing Hu, Dawei Yang, Yuan Cheng, Zhixuan Chen, Zukang Xu

CoRR, February, 2026

BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs.

Zhixiong Zhao, Zukang Xu, Dawei Yang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models.

Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang

CoRR, October, 2025

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling.

Yuxuan Yue, Zukang Xu, Zhihang Yuan, Dawei Yang, Jianlong Wu, Liqiang Nie

CoRR, June, 2025

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization.

Jiangyong Yu, Sifan Zhou, Dawei Yang, Shuo Wang, Shuoyu Li, Xing Hu, Chen Xu, Zukang Xu, Changyong Shu, Zhihang Yuan

CoRR, February, 2025

OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting.

Xing Hu, Yuan Cheng, Dawei Yang, Zukang Xu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang, Sifan Zhou

CoRR, January, 2025

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Static Quantization.

Jiangyong Yu, Sifan Zhou, Dawei Yang, Shuoyu Li, Shuo Wang, Xing Hu, Chen Xu, Zukang Xu, Changyong Shu, Zhihang Yuan

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization.

Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang

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

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance.

Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu

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

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods.

Zukang Xu, Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting.

Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, Jiangyong Yu, Chen Xu, Zhihang Yuan, Zhe Jiang, Sifan Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

1995

Complete 3D boundary representation from multiple range images: exploiting geometric constraints.

Kamal Gupta, Zukang Xu

Robotica, 1995