Xiaotian Guo

According to our database, Xiaotian Guo authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

A reinforcement learning decision-making method with multi-granularity semantic prompts from large language models.

Shilin Hao, Gang Liu, Xiaotian Guo, Xiong Liu, Dong Huang, Wu Li

Appl. Intell., June, 2026

2025

Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models.

Linye Wei, Wenjue Chen, Pingzhi Tang, Xiaotian Guo, Le Ye, Runsheng Wang, Meng Li

CoRR, November, 2025

H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference.

Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li

CoRR, August, 2025

Model and system robustness in distributed CNN inference at the edge.

Xiaotian Guo, Quan Jiang, Andy D. Pimentel, Todor P. Stefanov

Integr., 2025

Random access based on sparse code multiple access for uplink IoT networks.

Qihua Huang, Xiaotian Guo, Dejian Li, Yongli Chen, Liancheng Wang, Bin Bai, Gang Xie

Int. J. Sens. Networks, 2025

H²EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference.

Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

2024

EASTER: Learning to Split Transformers at the Edge Robustly.

Xiaotian Guo, Quan Jiang, Yixian Shen, Andy D. Pimentel, Todor P. Stefanov

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

RobustDiCE: Robust and Distributed CNN Inference at the Edge.

Xiaotian Guo, Quan Jiang, Andy D. Pimentel, Todor P. Stefanov

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Automated Exploration and Implementation of Distributed CNN Inference at the Edge.

Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov

IEEE Internet Things J., April, 2023

2022

The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge.

Erqian Tang, Xiaotian Guo, Todor P. Stefanov

CoRR, 2022

AutoDiCE: Fully Automated Distributed CNN Inference at the Edge.

Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov

CoRR, 2022

Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge.

Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Application of SCMA Based on LoRaWAN Architecture.

Minhao Jin, Libo Fan, Shaojie Luo, Xiaotian Guo

Proceedings of CECNet 2022, 2022