Junxian Guo

According to our database, Junxian Guo authored at least 20 papers between 2022 and 2026.

Collaborative distances:

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

2026

Adaptive Block-Scaled Data Types.

Jack Cook, Hyemin S. Lee, Kathryn Le, Junxian Guo, Giovanni Traverso, Anantha P. Chandrakasan, Song Han

CoRR, March, 2026

A generative AI-Driven framework integrating CNN-VLM-LLM for intelligent crop disease diagnosis and control strategy generation.

Shuo Yang, Junxian Guo, Jiangtong Yu

Comput. Electron. Agric., 2026

Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter.

Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling.

Jack Cook, Junxian Guo, Guangxuan Xiao, Yujun Lin, Song Han

CoRR, December, 2025

Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter.

Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han

CoRR, November, 2025

Optimizing Mixture of Block Attention.

Guangxuan Xiao, Junxian Guo, Kasra Mazaheri, Song Han

CoRR, November, 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, Zhijian Liu

CoRR, June, 2025

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention.

Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

XAttention: Block Sparse Attention with Antidiagonal Scoring.

Ruyi Xu, Guangxuan Xiao, Haofeng Huang, Junxian Guo, Song Han

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity.

Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models.

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference.

Samir Khaki, Junxian Guo, Jiaming Tang, Shang Yang, Yukang Chen, Konstantinos N. Plataniotis, Yao Lu, Song Han, Zhijian Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference.

Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Chen Jin, Jingwen Leng

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

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, June, 2024

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models.

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

CoRR, 2024

2023

Design and Experiment of a Portable Near-Infrared Spectroscopy Device for Convenient Prediction of Leaf Chlorophyll Content.

Longjie Li, Junxian Guo, Qian Wang, Jun Wang, Ya Liu, Yong Shi

Sensors, October, 2023

Perceptual Soft End-Effectors for Future Unmanned Agriculture.

Weikang Ye, Lin Zhao, Xuan Luo, Junxian Guo, Xiangjiang Liu

Sensors, September, 2023

2022

Analysis of the Mainstream MBSE Methodologies from the Modeling Practice View.

Yuqiang Guo, Hui Zhao, Keke Qi, Junxian Guo

Proceedings of CECNet 2022, 2022

Advantage Analysis of MBSE in the Context of Multi-Historical Development Trends.

Yuqiang Guo, Shiyan She, Jun Zhao, Junxian Guo

Proceedings of CECNet 2022, 2022