Junxian Guo - RankMe

24 papers A* 5Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A generative AI-Driven framework integrating CNN-VLM-LLM for intelligent crop disease diagnosis and control strategy generation. Comput. Electron. Agric. Shuo Yang, Junxian Guo, Jiangtong Yu
2026	J	`jnl`	Adaptive Block-Scaled Data Types. CoRR Jack Cook, Hyemin S. Lee, Kathryn Le, Junxian Guo, Giovanni Traverso, Anantha P. Chandrakasan, Song Han
2026	—	`conf`	Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter. ASPLOS (2) Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han
2025	A*	`conf`	DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. ICLR Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han
2025	J	`jnl`	Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling. CoRR Jack Cook, Junxian Guo, Guangxuan Xiao, Yujun Lin, Song Han
2025	—	`conf`	LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. MLSys Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han
2025	J	`jnl`	LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. CoRR Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han
2025	J	`jnl`	Optimizing Mixture of Block Attention. CoRR Guangxuan Xiao, Junxian Guo, Kasra Mazaheri, Song Han
2025	A*	`conf`	SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. ICLR Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
2025	A*	`conf`	SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity. ICML Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu
2025	J	`jnl`	SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity. CoRR Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Chenfeng Xu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu
2025	J	`jnl`	SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference. CoRR Samir Khaki, Junxian Guo, Jiaming Tang, Shang Yang, Yukang Chen, Konstantinos N. Plataniotis, Yao Lu, Song Han, Zhijian Liu
2025	J	`jnl`	Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter. CoRR Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han
2025	A*	`conf`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. HPCA 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
2025	J	`jnl`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. CoRR Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Jingwen Leng, Chen Jin
2025	A*	`conf`	XAttention: Block Sparse Attention with Antidiagonal Scoring. ICML Ruyi Xu, Guangxuan Xiao, Haofeng Huang, Junxian Guo, Song Han
2025	J	`jnl`	XAttention: Block Sparse Attention with Antidiagonal Scoring. CoRR Ruyi Xu, Guangxuan Xiao, Haofeng Huang, Junxian Guo, Song Han
2024	J	`jnl`	Development of a Method for Soil Tilth Quality Evaluation from Crumbling Roller Baskets Using Deep Machine Learning Models. Sensors Mehari Z. Tekeste, Junxian Guo, Desale Habtezgi, Jia-Hao He, Marcin Waz
2024	J	`jnl`	DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. CoRR Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han
2024	J	`jnl`	SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. CoRR Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
2023	J	`jnl`	Design and Experiment of a Portable Near-Infrared Spectroscopy Device for Convenient Prediction of Leaf Chlorophyll Content. Sensors Longjie Li, Junxian Guo, Qian Wang, Jun Wang, Ya Liu, Yong Shi
2023	J	`jnl`	Perceptual Soft End-Effectors for Future Unmanned Agriculture. Sensors Weikang Ye, Lin Zhao, Xuan Luo, Junxian Guo, Xiangjiang Liu
2022	—	`conf`	Advantage Analysis of MBSE in the Context of Multi-Historical Development Trends. CECNet Yuqiang Guo, Shiyan She, Jun Zhao, Junxian Guo
2022	—	`conf`	Analysis of the Mainstream MBSE Methodologies from the Modeling Practice View. CECNet Yuqiang Guo, Hui Zhao, Keke Qi, Junxian Guo