CoopStreaming: A Novel Peer-to-Peer System for Fast Live Media Streaming. - Jianwei Yin; Weipeng Yao; Lingxiao Ma; Jinxiang Dong (WAIM, 2005)

Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. - Lingxiao Ma; Zhi Yang 001; Han Chen; Jilong Xue; Yafei Dai (USENIX ATC, 2017)

Towards Efficient Large-Scale Graph Neural Network Computing. - Lingxiao Ma; Zhi Yang 001; Youshan Miao; Jilong Xue; Ming Wu 007; Lidong Zhou; Yafei Dai (CoRR, 2018)

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. - Shijie Cao; Lingxiao Ma; Wencong Xiao; Chen Zhang 001; Yunxin Liu 001; Lintao Zhang; Lanshun Nie; Zhi Yang 001 (CVPR, 2019)

NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. - Lingxiao Ma; Zhi Yang 001; Youshan Miao; Jilong Xue; Ming Wu 007; Lidong Zhou; Yafei Dai (USENIX ATC, 2019)

PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network. - Chao Tian 001; Lingxiao Ma; Zhi Yang 001; Yafei Dai (IPDPS, 2020)

Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. - Lingxiao Ma; Zhiqiang Xie; Zhi Yang 001; Jilong Xue; Youshan Miao; Wei Cui; Wenxiang Hu; Fan Yang 024; Lintao Zhang; Lidong Zhou (OSDI, 2020)

Architectural Implications of Graph Neural Networks. - Zhihui Zhang; Jingwen Leng; Lingxiao Ma; Youshan Miao; Chao Li 009; Minyi Guo (IEEE Comput. Archit. Lett., 2020)

Accelerating GNN training with locality-aware partial execution. - Taehyun Kim; Changho Hwang; KyoungSoo Park; Zhiqi Lin; Peng Cheng 005; Youshan Miao; Lingxiao Ma; Yongqiang Xiong (APSys, 2021)

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). - Xupeng Miao; Lingxiao Ma; Zhi Yang 001; Yingxia Shao; Bin Cui 001; Lele Yu; Jiawei Jiang 001 (ICDE, 2021)

Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. - Xupeng Miao; Xiaonan Nie; Yingxia Shao; Zhi Yang 001; Jiawei Jiang 001; Lingxiao Ma; Bin Cui 001 (SIGMOD Conference, 2021)

Dense-to-Sparse Gate for Mixture-of-Experts. - Xiaonan Nie; Shijie Cao; Xupeng Miao; Lingxiao Ma; Jilong Xue; Youshan Miao; Zichao Yang; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. - Ningxin Zheng; Bin Lin; Quanlu Zhang; Lingxiao Ma; Yuqing Yang 001; Fan Yang 024; Yang Wang 053; Mao Yang 004; Lidong Zhou (OSDI, 2022)

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. - Hongyu Zhu 003; Ruofan Wu; Yijia Diao; Shanbin Ke; Haoyu Li; Chen Zhang 001; Jilong Xue; Lingxiao Ma; Yuqing Xia; Wei Cui; Fan Yang 024; Mao Yang 004; et al. (OSDI, 2022)

CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs. - Xupeng Miao; Lingxiao Ma; Zhi Yang 001; Yingxia Shao; Bin Cui 001; Lele Yu; Jiawei Jiang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. - Bin Lin; Ningxin Zheng; Lei Wang 222; Shijie Cao; Lingxiao Ma; Quanlu Zhang; Yi Zhu; Ting Cao; Jilong Xue; Yuqing Yang 001; Fan Yang 024 (MLSys, 2023)

Welder: Scheduling Deep Learning Memory Access via Tile-graph. - Yining Shi 001; Zhi Yang 001; Jilong Xue; Lingxiao Ma; Yuqing Xia; Ziming Miao; Yuxiao Guo 001; Fan Yang 024; Lidong Zhou (OSDI, 2023)

Optimizing Dynamic Neural Networks with Brainstorm. - Weihao Cui; Zhenhua Han; Lingji Ouyang; Yichuan Wang 002; Ningxin Zheng; Lingxiao Ma; Yuqing Yang 001; Fan Yang 024; Jilong Xue; Lili Qiu; Lidong Zhou; Quan Chen 002; et al. (OSDI, 2023)

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. - Chen Zhang 001; Lingxiao Ma; Jilong Xue; Yining Shi 001; Ziming Miao; Fan Yang 024; Jidong Zhai; Zhi Yang 001; Mao Yang 004 (OSDI, 2023)

PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. - Ningxin Zheng; Huiqiang Jiang; Quanlu Zhang; Zhenhua Han; Lingxiao Ma; Yuqing Yang 001; Fan Yang 024; Chengruidong Zhang; Lili Qiu; Mao Yang 004; Lidong Zhou (SOSP, 2023)

SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. - Ningxin Zheng; Huiqiang Jiang; Quanlu Zhang; Zhenhua Han; Yuqing Yang 001; Lingxiao Ma; Fan Yang 024; Lili Qiu; Mao Yang 004; Lidong Zhou (CoRR, 2023)

BitNet: Scaling 1-bit Transformers for Large Language Models. - Hongyu Wang 009; Shuming Ma; Li Dong 004; Shaohan Huang; Huaijie Wang; Lingxiao Ma; Fan Yang 024; Ruiping Wang; Yi Wu 013; Furu Wei (CoRR, 2023)

FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. - Xiaonan Nie; Xupeng Miao; Zilong Wang; Zichao Yang; Jilong Xue; Lingxiao Ma; Gang Cao; Bin Cui 001 (Proc. ACM Manag. Data, 2023)

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. - Lei Wang 222; Lingxiao Ma; Shijie Cao; Quanlu Zhang; Jilong Xue; Yining Shi 001; Ningxin Zheng; Ziming Miao; Fan Yang 024; Ting Cao; Yuqing Yang 001; Mao Yang 004 (OSDI, 2024)

ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores. - Yuetao Chen; Kun Li 016; Yuhao Wang; Donglin Bai; Lei Wang 222; Lingxiao Ma; Liang Yuan; Yunquan Zhang; Ting Cao; Mao Yang 004 (PPoPP, 2024)

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10. - Yiqi Liu; Yuqi Xue; Yu Cheng; Lingxiao Ma; Ziming Miao; Jilong Xue; Jian Huang 006 (SOSP, 2024)

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits. - Shuming Ma; Hongyu Wang 009; Lingxiao Ma; Lei Wang 222; Wenhui Wang 003; Shaohan Huang; Li Dong 004; Ruiping Wang; Jilong Xue; Furu Wei (CoRR, 2024)

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor. - Yiqi Liu; Yuqi Xue; Yu Cheng; Lingxiao Ma; Ziming Miao; Jilong Xue; Jian Huang 006 (CoRR, 2024)

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. - Zhiwen Mo; Lei Wang 222; Jianyu Wei; Zhichen Zeng 002; Shijie Cao; Lingxiao Ma; Naifeng Jing; Ting Cao; Jilong Xue; Fan Yang 024; Mao Yang 004 (CoRR, 2024)

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. - Jianyu Wei; Shijie Cao; Ting Cao; Lingxiao Ma; Lei Wang 222; Yanyong Zhang; Mao Yang 004 (EuroSys, 2025)

NeuStream: Bridging Deep Learning Serving and Stream Processing. - Haochen Yuan; Yuanqing Wang; Wenhao Xie; Yu Cheng; Ziming Miao; Lingxiao Ma; Jilong Xue; Zhi Yang 001 (EuroSys, 2025)

LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference. - Zhiwen Mo; Lei Wang 222; Jianyu Wei; Zhichen Zeng 002; Shijie Cao; Lingxiao Ma; Naifeng Jing; Ting Cao; Jilong Xue; Fan Yang 024; Mao Yang 004 (ISCA, 2025)

PipeThreader: Software-Defined Pipelining for Efficient DNN Execution. - Yu Cheng; Lei Wang 222; Yining Shi 001; Yuqing Xia; Lingxiao Ma; Jilong Xue; Yang Wang 053; Zhiwen Mo; Feiyang Chen; Fan Yang 024; Mao Yang 004; Zhi Yang 001 (OSDI, 2025)

WaferLLM: Large Language Model Inference at Wafer Scale. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (OSDI, 2025)

WaferLLM: A Wafer-Scale LLM Inference System. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (CoRR, 2025)

AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms. - Feiyang Chen; Yu Cheng; Lei Wang 222; Yuqing Xia; Ziming Miao; Lingxiao Ma; Fan Yang 024; Jilong Xue; Zhi Yang 001; Mao Yang 004; Haibo Chen (CoRR, 2025)

TileLang: A Composable Tiled Programming Model for AI Systems. - Lei Wang 222; Yu Cheng; Yining Shi 001; Zhengju Tang; Zhiwen Mo; Wenhao Xie; Lingxiao Ma; Yuqing Xia; Jilong Xue; Fan Yang 024; Zhi Yang 001 (CoRR, 2025)

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning. - Yizhao Gao 002; Shuming Guo; Shijie Cao; Yuqing Xia; Yu Cheng; Lei Wang 222; Lingxiao Ma; Yutao Sun; Tianzhu Ye; Li Dong 004; Hayden Kwok-Hay So; Yu Hua; et al. (CoRR, 2025)