Juncai Liu

Orcid: 0000-0001-5783-731X

According to our database1, Juncai Liu authored at least 14 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production.
CoRR, May, 2025

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.
CoRR, April, 2025

Failure prediction of overhead transmission lines incorporating time series prediction model for wind-ice loads.
Reliab. Eng. Syst. Saf., 2025

Resilience-based seismic safety evaluation of pile-supported overhead transmission lines under depth-varying spatial ground motions.
Reliab. Eng. Syst. Saf., 2025

Integrating clinical knowledge and imaging for medical report generation.
Pattern Recognit. Lett., 2025

2024
Probabilistic framework for seismic resilience assessment of transmission tower-line systems subjected to mainshock-aftershock sequences.
Reliab. Eng. Syst. Saf., February, 2024

Copula-based wind-induced failure prediction of overhead transmission line considering multiple temperature factors.
Reliab. Eng. Syst. Saf., 2024

Automatic Radiology Reports Generation via Memory Alignment Network.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Janus: A Unified Distributed Training Framework for Sparse Mixture-of-Experts Models.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

2022
Scheduling Massive Camera Streams to Optimize Large-Scale Live Video Analytics.
IEEE/ACM Trans. Netw., 2022

Semi-Supervised Instance-Segmentation Model for Feature Transfer Based on Category Attention.
Sensors, 2022

Exploring the Layered Structure of Containers for Design of Video Analytics Application Migration.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

PipeCompress: Accelerating Pipelined Communication for Distributed Deep Learning.
Proceedings of the IEEE International Conference on Communications, 2022

2021
FedPA: An adaptively partial model aggregation strategy in Federated Learning.
Comput. Networks, 2021


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