Lingxiao Ma

48 papers A* 14A 3B 2Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A massive MPI parallel adaptive resolution SPH method for large-scale multiphase flow simulations.
Comput. Phys. Commun.
Lingxiao Ma, Jiahao Liu, Xiufeng Yang, Moubin Liu
2026 — conf
FastTTS: Accelerating Test-Time Scaling for Edge LLM Reasoning.
ASPLOS (2)
Hao Mark Chen, Zhiwen Mo, Guanxi Lu, Shuang Liang, Lingxiao Ma, Wayne Luk, Hongxiang Fan
2026 B conf
MetaAttention: A Unified and Performant Attention Framework across Hardware Backends.
PPoPP
Feiyang Chen, Yu Cheng, Lei Wang, Yuqing Xia, Ziming Miao, Lingxiao Ma, Fan Yang, Jilong Xue, Zhi Yang, Mao Yang, Xingda Wei, Haibo Chen
2025 J jnl
AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms.
CoRR
Feiyang Chen, Yu Cheng, Lei Wang, Yuqing Xia, Ziming Miao, Lingxiao Ma, Fan Yang, Jilong Xue, Zhi Yang, Mao Yang, Haibo Chen
2025 J jnl
BitNet: 1-bit Pre-training for Large Language Models.
J. Mach. Learn. Res.
Hongyu Wang, Shuming Ma, Lingxiao Ma, Lei Wang, Wenhui Wang, Li Dong, Shaohan Huang, Huaijie Wang, Jilong Xue, Ruiping Wang, Yi Wu, Furu Wei
2025 J jnl
Democratizing Agentic AI with Fast Test-Time Scaling on the Edge.
CoRR
Hao Mark Chen, Zhiwen Mo, Guanxi Lu, Shuang Liang, Lingxiao Ma, Wayne Luk, Hongxiang Fan
2025 A* conf
LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference.
ISCA
Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang
2025 A conf
NeuStream: Bridging Deep Learning Serving and Stream Processing.
EuroSys
Haochen Yuan, Yuanqing Wang, Wenhao Xie, Yu Cheng, Ziming Miao, Lingxiao Ma, Jilong Xue, Zhi Yang
2025 A* conf
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution.
OSDI
Yu Cheng, Lei Wang, Yining Shi, Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
2025 J jnl
SeerAttention-R: Sparse Attention Adaptation for Long Reasoning.
CoRR
Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia, Yu Cheng, Lei Wang, Lingxiao Ma, Yutao Sun, Tianzhu Ye, Li Dong, Hayden Kwok-Hay So, Yu Hua, Ting Cao, Fan Yang, Mao Yang
2025 J jnl
Squeezer: Efficient Multi-DNN Inference for Edge Video Analytics via Cross-Model Scheduling.
IEEE Trans. Mob. Comput.
Xiang Wang, Lingxiao Ma, Ziyan Fu, Xiangyu Li, Yuanchun Li, Ju Ren, Yaoxue Zhang, Yunxin Liu
2025 A conf
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge.
EuroSys
Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang
2025 J jnl
T-MAN: Enabling End-to-End Low-Bit LLM Inference on NPUs via Unified Table Lookup.
CoRR
Jianyu Wei, Qingtao Li, Shijie Cao, Lingxiao Ma, Zixu Hao, Yanyong Zhang, Xiaoyan Hu, Ting Cao
2025 J jnl
TileLang: A Composable Tiled Programming Model for AI Systems.
CoRR
Lei Wang, Yu Cheng, Yining Shi, Zhengju Tang, Zhiwen Mo, Wenhao Xie, Lingxiao Ma, Yuqing Xia, Jilong Xue, Fan Yang, Zhi Yang
2025 J jnl
WaferLLM: A Wafer-Scale LLM Inference System.
CoRR
Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai
2025 A* conf
WaferLLM: Large Language Model Inference at Wafer Scale.
OSDI
Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai
2024 B conf
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores.
PPoPP
Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang
2024 J jnl
LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration.
CoRR
Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang
2024 A* conf
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.
OSDI
Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
2024 A* conf
Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10.
SOSP
Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang
2024 J jnl
Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor.
CoRR
Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang
2024 J jnl
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge.
CoRR
Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang
2024 J jnl
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.
CoRR
Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei
2023 J jnl
BitNet: Scaling 1-bit Transformers for Large Language Models.
CoRR
Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei
2023 A* conf
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.
OSDI
Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang
2023 — conf
Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.
MLSys
Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
2023 J jnl
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement.
CoRR
Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui
2023 J jnl
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement.
Proc. ACM Manag. Data
Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui
2023 A* conf
Optimizing Dynamic Neural Networks with Brainstorm.
OSDI
Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo
2023 A* conf
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.
SOSP
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
2023 J jnl
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation.
CoRR
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou
2023 A* conf
Welder: Scheduling Deep Learning Memory Access via Tile-graph.
OSDI
Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou
2022 J jnl
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs.
IEEE Trans. Knowl. Data Eng.
Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang
2022 A* conf
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.
OSDI
Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko
2022 A* conf
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute.
OSDI
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
2021 — conf
Accelerating GNN training with locality-aware partial execution.
APSys
Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
2021 A* conf
CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).
ICDE
Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang
2021 J jnl
Dense-to-Sparse Gate for Mixture-of-Experts.
CoRR
Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui
2021 — conf
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce.
SIGMOD Conference
Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui
2020 J jnl
Architectural Implications of Graph Neural Networks.
IEEE Comput. Archit. Lett.
Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
2020 J jnl
Architectural Implications of Graph Neural Networks.
CoRR
Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
2020 A conf
PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network.
IPDPS
Chao Tian, Lingxiao Ma, Zhi Yang, Yafei Dai
2020 A* conf
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks.
OSDI
Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
2019 — conf
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs.
USENIX ATC
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2019 A* conf
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization.
CVPR
Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang
2018 J jnl
Towards Efficient Large-Scale Graph Neural Network Computing.
CoRR
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2017 — conf
Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication.
USENIX ATC
Lingxiao Ma, Zhi Yang, Han Chen, Jilong Xue, Yafei Dai
2005 — conf
CoopStreaming: A Novel Peer-to-Peer System for Fast Live Media Streaming.
WAIM
Jianwei Yin, Weipeng Yao, Lingxiao Ma, Jinxiang Dong