Xing Hu

According to our database, Xing Hu authored at least 23 papers between 2022 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

NLI:Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference.

Jiangyong Yu, Xiaomeng Han, Xing Hu, Chen Xu, Zhe Jiang, Dawei Yang

CoRR, February, 2026

FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection.

Jiangyong Yu, Changyong Shu, Sifan Zhou, Zichen Yu, Xing Hu, Dawei Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling.

Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang

CoRR, October, 2025

Q-PETR: Quant-aware Position Embedding Transformation for Multi-View 3D Object Detection.

Jiangyong Yu, Changyong Shu, Dawei Yang, Zichen Yu, Xing Hu, Yan Chen

CoRR, February, 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

A 22-nm 64-kB lightning-like hybrid computing-in-memory macro with a compressed adder tree and analog-storage quantizers for transformer and CNNs.

An Guo, Xi Chen, Fangyuan Dong, Jinwu Chen, Zhihang Yuan, Xing Hu, Guangyu Sun, Xiaomin Li, Arindam Basu, Jun Yang, Xin Si

Sci. China Inf. Sci., 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

AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM.

Yuanpeng Zhang, Xing Hu, Xi Chen, Zhihang Yuan, Cong Li, Jingchen Zhu, Zhao Wang, Chenguang Zhang, Xin Si, Wei Gao, Qiang Wu, Runsheng Wang, Guangyu Sun

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 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

PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram.

Sifan Zhou, Zhihang Yuan, Dawei Yang, Xing Hu, Jian Qian, Ziyu Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Post-training quantization for re-parameterization via coarse & fine weight splitting.

Dawei Yang, Ning He, Xing Hu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang

J. Syst. Archit., February, 2024

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models.

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

CoRR, 2024

34.3 A 22nm 64kb Lightning-Like Hybrid Computing-in-Memory Macro with a Compressed Adder Tree and Analog-Storage Quantizers for Transformer and CNNs.

An Guo, Xi Chen, Fangyuan Dong, Jinwu Chen, Zhihang Yuan, Xing Hu, Yuanpeng Zhang, Jingmin Zhang, Yuchen Tang, Zhican Zhang, Gang Chen, Dawei Yang, Zhaoyang Zhang, Lizheng Ren, Tianzhu Xiong, Bo Wang, Bo Liu, Weiwei Shan, Xinning Liu, Hao Cai, Guangyu Sun, Jun Yang, Xin Si

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2022

3D Object Detection Based on Multi-scale Feature Fusion and Contrastive Learning.

Min Wang, Xing Hu, Tulga Khuyag

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022