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Zhihang Yuan
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Publications
- 2025
- [c30]Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, Jiangyong Yu, Chen Xu, Zhihang Yuan, Zhe Jiang, Sifan Zhou:
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. ICLR 2025 - [c29]Zukang Xu, Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou:
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. ICLR 2025 - [c28]Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu:
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. ICML 2025 - [c26]Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang:
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. ICML 2025 - [c22]Jiangyong Yu
, Sifan Zhou
MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Static Quantization. ACM Multimedia 2025: 1783-1792 - [i54]Zukang Xu, Yuxuan Yue, Xing Hu, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou, Dawei Yang:
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. CoRR abs/2501.13484 (2025) - [i53]Xing Hu, Yuan Cheng, Dawei Yang, Zukang Xu, Zhihang Yuan, Jiangyong Yu
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. CoRR abs/2501.13987 (2025) - [i52]Jiangyong Yu
MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization. CoRR abs/2502.00425 (2025) - [i47]Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang:
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. CoRR abs/2505.03803 (2025) - [i46]Xing Hu, Zhixuan Chen, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu:
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. CoRR abs/2505.03804 (2025) - 2024
- [j6]Dawei Yang
Post-training quantization for re-parameterization via coarse & fine weight splitting. J. Syst. Archit. 147: 103065 (2024) - [i23]Xing Hu, Yuan Cheng, Dawei Yang, Zhihang Yuan, Jiangyong Yu, Chen Xu, Sifan Zhou:
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models. CoRR abs/2405.17849 (2024) - 2023
- [i10]Dawei Yang, Ning He, Xing Hu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang:
Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting. CoRR abs/2312.10588 (2023)
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