Zixiao Huang

According to our database, Zixiao Huang authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal Planning.

Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang

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

Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering.

Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang

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

2025

Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design.

Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang

CoRR, November, 2025

RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation.

Chao Yu, Yuanqing Wang, Zhen Guo, Hao Lin, Si Xu, Hongzhi Zang, Quanlu Zhang, Yongji Wu, Chunyang Zhu, Junhao Hu, Zixiao Huang, Mingjie Wei, Yuqing Xie, Ke Yang, Bo Dai, Zhexuan Xu, Xiangyuan Wang, Xu Fu, Zhihao Liu, Kang Chen, Weilin Liu, Gang Liu, Boxun Li, Jianlei Yang, Zhi Yang, Guohao Dai, Yu Wang

CoRR, September, 2025

Reducing GPU Memory Fragmentation via Spatio-Temporal Planning for Efficient Large-Scale Model Training.

Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang

CoRR, July, 2025

FlashOverlap: A Lightweight Design for Efficiently Overlapping Communication and Computation.

Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang

CoRR, April, 2025

2024

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression.

Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CoRR, 2024

HetHub: A Heterogeneous distributed hybrid training system for large-scale models.

Si Xu, Zixiao Huang, Yan Zeng, Shengen Yan, Xuefei Ning, Haolin Ye, Sipei Gu, Chunsheng Shui, Zhezheng Lin, Hao Zhang, Sheng Wang, Guohao Dai, Yu Wang

CoRR, 2024

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs.

Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024