3D Object Detection Based on Multi-scale Feature Fusion and Contrastive Learning. - Min Wang; Xing Hu 010; Tulga Khuyag (SMC, 2022)

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 001; Xi Chen 107; Fangyuan Dong; Jinwu Chen; Zhihang Yuan; Xing Hu 010; Yuanpeng Zhang; Jingmin Zhang; Yuchen Tang; Zhican Zhang; Gang Chen 023; Dawei Yang; et al. (ISSCC, 2024)

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models. - Xing Hu 010; Yuan Cheng; Dawei Yang; Zhihang Yuan; Jiangyong Yu; Chen Xu; Sifan Zhou (CoRR, 2024)

Post-training quantization for re-parameterization via coarse & fine weight splitting. - Dawei Yang; Ning He; Xing Hu 010; Zhihang Yuan; Jiangyong Yu; Chen Xu; Zhe Jiang 004 (J. Syst. Archit., 2024)

PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram. - Sifan Zhou; Zhihang Yuan; Dawei Yang; Xing Hu 010; Jian Qian; Ziyu Zhao (CVPR, 2025)

OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. - Xing Hu 010; Yuan Cheng; Dawei Yang; Zhixuan Chen; Zukang Xu; Jiangyong Yu; Chen Xu; Zhihang Yuan; Zhe Jiang 004; Sifan Zhou (ICLR, 2025)

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. - Zukang Xu; Yuxuan Yue; Xing Hu 010; Dawei Yang; Zhihang Yuan; Zixu Jiang; Zhixuan Chen; Jiangyong Yu; Chen Xu; Sifan Zhou (ICLR, 2025)

AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. - Yuanpeng Zhang; Xing Hu 010; Xi Chen 107; Zhihang Yuan; Cong Li; Jingchen Zhu; Zhao Wang; Chenguang Zhang; Xin Si; Wei Gao; Qiang Wu; Runsheng Wang; et al. (ISCA, 2025)

OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. - Xing Hu 010; Yuan Cheng; Dawei Yang; Zukang Xu; Zhihang Yuan; Jiangyong Yu; Chen Xu; Zhe Jiang 004; Sifan Zhou (CoRR, 2025)

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization. - Jiangyong Yu; Sifan Zhou; Dawei Yang; Shuo Wang 001; Shuoyu Li; Xing Hu 010; Chen Xu; Zukang Xu; Changyong Shu; Zhihang Yuan (CoRR, 2025)

Q-PETR: Quant-aware Position Embedding Transformation for Multi-View 3D Object Detection. - Jiangyong Yu; Changyong Shu; Dawei Yang; Zichen Yu; Xing Hu 010; Yan Chen (CoRR, 2025)

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. - Chen Xu; Yuxuan Yue; Zukang Xu; Xing Hu 010; Jiangyong Yu; Zhixuan Chen; Sifan Zhou; Zhihang Yuan; Dawei Yang (CoRR, 2025)

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. - Xing Hu 010; Zhixuan Chen; Dawei Yang; Zukang Xu; Chen Xu; Zhihang Yuan; Sifan Zhou; Jiangyong Yu (CoRR, 2025)