Xiuxian Guan

Orcid: 0000-0001-6133-8388

According to our database1, Xiuxian Guan authored at least 18 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing.
CoRR, May, 2026

2025
LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems.
CoRR, November, 2025

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing.
CoRR, July, 2025

Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing.
CoRR, July, 2025

OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robots in Dynamic Environments via State Space Model.
IEEE Robotics Autom. Lett., February, 2025

Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism.
CoRR, February, 2025

2024
HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments.
IEEE Robotics Autom. Lett., November, 2024

OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model.
CoRR, 2024

Hybrid-Parallel: Achieving High Performance and Energy Efficient Distributed Inference on Robots.
CoRR, 2024

AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

New Problems in Distributed Inference for DNN Models on Robotic IoT.
Proceedings of the 2024 Workshop on Advanced Tools, 2024

2023
Fold3D: Rethinking and Parallelizing Computational and Communicational Tasks in the Training of Large DNN Models.
IEEE Trans. Parallel Distributed Syst., May, 2023

Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning.
IEEE Internet Things J., February, 2023

New Problems in Active Sampling for Mobile Robotic Online Learning.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training.
IEEE Trans. Parallel Distributed Syst., 2022

ROG: A High Performance and Robust Distributed Training System for Robotic IoT.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021
MVSAS: Semantic-Aware Scheduling for Low Latency and High Precision in Wireless Multi-View Application.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020
CTDMA: Color-aware TDMA Network System For Low latency and High Throughput in Dense D2D Wireless Network.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020


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