Jiangyong Yu

According to our database, Jiangyong Yu authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

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

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

CoRR, May, 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

CoRR, May, 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

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

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

Panoptic-FlashOcc: An Efficient Baseline to Marry Semantic Occupancy with Panoptic via Instance Center.

Zichen Yu, Changyong Shu, Qianpu Sun, Junjie Linghu, Xiaobao Wei, Jiangyong Yu, Zongdai Liu, Dawei Yang, Hui Li, Yan Chen

CoRR, 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

2023

Four-gene signature based on machine learning filtration could predict prognosis of patients with breast cancer.

Bo Liu, Huina Wang, Xin Wang, Junqi Long, Xujie Zhuang, Xinchan Ji, Nian Zhu, Jinmeng Li, Ting Gao, Xuehui Zhang, Jiangyong Yu, Shuangtao Zhao

Expert Syst. J. Knowl. Eng., 2023

FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin.

Zichen Yu, Changyong Shu, Jiajun Deng, Kangjie Lu, Zongdai Liu, Jiangyong Yu, Dawei Yang, Hui Li, Yan Chen

CoRR, 2023