Advantage Analysis of MBSE in the Context of Multi-Historical Development Trends. - Yuqiang Guo; Shiyan She; Jun Zhao; Junxian Guo (CECNet, 2022)

Analysis of the Mainstream MBSE Methodologies from the Modeling Practice View. - Yuqiang Guo; Hui Zhao; Keke Qi; Junxian Guo (CECNet, 2022)

Perceptual Soft End-Effectors for Future Unmanned Agriculture. - Weikang Ye; Lin Zhao; Xuan Luo; Junxian Guo; Xiangjiang Liu (Sensors, 2023)

Design and Experiment of a Portable Near-Infrared Spectroscopy Device for Convenient Prediction of Leaf Chlorophyll Content. - Longjie Li 005; Junxian Guo; Qian Wang; Jun Wang; Ya Liu; Yong Shi (Sensors, 2023)

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. - Muyang Li; Yujun Lin 001; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han 003 (CoRR, 2024)

Development of a Method for Soil Tilth Quality Evaluation from Crumbling Roller Baskets Using Deep Machine Learning Models. - Mehari Z. Tekeste; Junxian Guo; Desale Habtezgi; Jia-Hao He; Marcin Waz (Sensors, 2024)

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. - Zihan Liu 002; Xinhao Luo; Junxian Guo; Wentao Ni; Yangjie Zhou 001; Yue Guan 003; Cong Guo 003; Weihao Cui; Yu Feng 007; Minyi Guo; Yuhao Zhu 001; Minjia Zhang; et al. (HPCA, 2025)

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. - Muyang Li; Yujun Lin 001; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han 001 (ICLR, 2025)

DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. - Guangxuan Xiao; Jiaming Tang; Jingwei Zuo; Junxian Guo; Shang Yang; Haotian Tang; Yao Fu; Song Han 003 (ICLR, 2025)

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. - Shang Yang; Junxian Guo; Haotian Tang; Qinghao Hu 004; Guangxuan Xiao; Jiaming Tang; Yujun Lin 001; Zhijian Liu; Yao Lu 006; Song Han 003 (CoRR, 2025)

XAttention: Block Sparse Attention with Antidiagonal Scoring. - Ruyi Xu; Guangxuan Xiao; Haofeng Huang; Junxian Guo; Song Han (CoRR, 2025)

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity. - Samir Khaki; Xiuyu Li; Junxian Guo; Ligeng Zhu; Chenfeng Xu; Konstantinos N. Plataniotis; Amir Yazdanbakhsh; Kurt Keutzer; Song Han 003; Zhijian Liu (CoRR, 2025)