Juncai Liu

According to our database, Juncai Liu authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

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

Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Xuegui Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

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

Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu

CoRR, May, 2025

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Yu Yue, Yufeng Yuan, Qiying Yu, Xiaochen Zuo, Ruofei Zhu, Wenyuan Xu, Jiaze Chen, Cheng-Xiang Wang, Tiantian Fan, Zhengyin Du, Xiangpeng Wei, Xiangyu Yu, Gaohong Liu, Juncai Liu, Lingjun Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Ru Zhang, Xin Liu, Mingxuan Wang, Yonghui Wu, Lin Yan

CoRR, April, 2025

Failure prediction of overhead transmission lines incorporating time series prediction model for wind-ice loads.

Xiangrui Meng, Li Tian, Juncai Liu, Qingtong Jin

Reliab. Eng. Syst. Saf., 2025

Resilience-based seismic safety evaluation of pile-supported overhead transmission lines under depth-varying spatial ground motions.

Juncai Liu, Qingtong Jin, You Dong, Li Tian, Zinan Wu

Reliab. Eng. Syst. Saf., 2025

Integrating clinical knowledge and imaging for medical report generation.

Meng Zhao, Juncai Liu, Hongyu Shen, Bin Yan, Mingtao Pei, Yi Wang

Pattern Recognit. Lett., 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Probabilistic framework for seismic resilience assessment of transmission tower-line systems subjected to mainshock-aftershock sequences.

Juncai Liu, Li Tian, Meng Yang, Xiangrui Meng

Reliab. Eng. Syst. Saf., February, 2024

Copula-based wind-induced failure prediction of overhead transmission line considering multiple temperature factors.

Xiangrui Meng, Li Tian, Chao Li, Juncai Liu

Reliab. Eng. Syst. Saf., 2024

Automatic Radiology Reports Generation via Memory Alignment Network.

Hongyu Shen, Mingtao Pei, Juncai Liu, Zhaoxing Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Janus: A Unified Distributed Training Framework for Sparse Mixture-of-Experts Models.

Juncai Liu, Jessie Hui Wang, Yimin Jiang

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

2022

Scheduling Massive Camera Streams to Optimize Large-Scale Live Video Analytics.

Chenghao Rong, Jessie Hui Wang, Juncai Liu, Jilong Wang, Fenghua Li, Xiaolei Huang

IEEE/ACM Trans. Netw., 2022

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

Hao Wang, Juncai Liu, Changhai Huang, Xuewen Yang, Dasha Hu, Liangyin Chen, Xiaoqing Xing, Yuming Jiang

Sensors, 2022

Exploring the Layered Structure of Containers for Design of Video Analytics Application Migration.

Chenghao Rong, Jessie Hui Wang, Juncai Liu, Tao Yu, Jilong Wang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

PipeCompress: Accelerating Pipelined Communication for Distributed Deep Learning.

Juncai Liu, Jessie Hui Wang, Chenghao Rong, Jilong Wang

Proceedings of the IEEE International Conference on Communications, 2022

2021

FedPA: An adaptively partial model aggregation strategy in Federated Learning.

Juncai Liu, Jessie Hui Wang, Chenghao Rong, Yuedong Xu, Tao Yu, Jilong Wang

Comput. Networks, 2021