Xing Hu - RankMe

27 papers A* 9B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection. AAAI Jiangyong Yu, Changyong Shu, Sifan Zhou, Zichen Yu, Xing Hu, Dawei Yang
2026	J	`jnl`	KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models. CoRR Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang
2026	J	`jnl`	NLI:Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference. CoRR Jiangyong Yu, Xiaomeng Han, Xing Hu, Chen Xu, Zhe Jiang, Dawei Yang
2026	J	`jnl`	SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression. CoRR Xing Hu, Dawei Yang, Yuan Cheng, Zhixuan Chen, Zukang Xu
2026	A*	`conf`	VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling. AAAI Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang
2025	J	`jnl`	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. Sci. China Inf. Sci. An Guo, Xi Chen, Fangyuan Dong, Jinwu Chen, Zhihang Yuan, Xing Hu, Guangyu Sun, Xiaomin Li, Arindam Basu, Jun Yang, Xin Si
2025	A*	`conf`	AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. ISCA 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
2025	J	`jnl`	AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. CoRR 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
2025	J	`jnl`	MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization. CoRR Jiangyong Yu, Sifan Zhou, Dawei Yang, Shuo Wang, Shuoyu Li, Xing Hu, Chen Xu, Zukang Xu, Changyong Shu, Zhihang Yuan
2025	A*	`conf`	MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Static Quantization. ACM Multimedia Jiangyong Yu, Sifan Zhou, Dawei Yang, Shuoyu Li, Shuo Wang, Xing Hu, Chen Xu, Zukang Xu, Changyong Shu, Zhihang Yuan
2025	A*	`conf`	MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. ICLR Zukang Xu, Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou
2025	J	`jnl`	MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. CoRR Zukang Xu, Yuxuan Yue, Xing Hu, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou, Dawei Yang
2025	A*	`conf`	MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. ICML Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu
2025	J	`jnl`	MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. CoRR Xing Hu, Zhixuan Chen, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu
2025	A*	`conf`	OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. ICLR Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, Jiangyong Yu, Chen Xu, Zhihang Yuan, Zhe Jiang, Sifan Zhou
2025	J	`jnl`	OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. CoRR Xing Hu, Yuan Cheng, Dawei Yang, Zukang Xu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang, Sifan Zhou
2025	A*	`conf`	PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram. CVPR Sifan Zhou, Zhihang Yuan, Dawei Yang, Xing Hu, Jian Qian, Ziyu Zhao
2025	J	`jnl`	Q-PETR: Quant-aware Position Embedding Transformation for Multi-View 3D Object Detection. CoRR Jiangyong Yu, Changyong Shu, Dawei Yang, Zichen Yu, Xing Hu, Yan Chen
2025	J	`jnl`	RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models. CoRR Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang
2025	A*	`conf`	RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. ICML Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang
2025	J	`jnl`	RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. CoRR Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang
2025	J	`jnl`	VAEVQ: Enhancing Discrete Visual Tokenization through Variational Modeling. CoRR Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang
2024	—	`conf`	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. ISSCC 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
2024	J	`jnl`	I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models. CoRR Xing Hu, Yuan Cheng, Dawei Yang, Zhihang Yuan, Jiangyong Yu, Chen Xu, Sifan Zhou
2024	J	`jnl`	Post-training quantization for re-parameterization via coarse & fine weight splitting. J. Syst. Archit. Dawei Yang, Ning He, Xing Hu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang
2023	J	`jnl`	Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting. CoRR Dawei Yang, Ning He, Xing Hu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang
2022	B	`conf`	3D Object Detection Based on Multi-scale Feature Fusion and Contrastive Learning. SMC Min Wang, Xing Hu, Tulga Khuyag