Jilong Xue

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Topics

Graph Structure

Top Venues

USENIX Annual Technical Conference

Proc. ACM Manag. Data

Publications

Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits. CoRR (2024)
Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI (2024)
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
Optimizing Dynamic Neural Networks with Brainstorm. OSDI (2023)
Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. CoRR (2023)
Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys (2023)
Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou
Welder: Scheduling Deep Learning Memory Access via Tile-graph. OSDI (2023)
Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. Proc. ACM Manag. Data 1 (1) (2023)
Yutao Sun, Li Dong, Shaohan Huang, Shuming Ma, Yuqing Xia, Jilong Xue, Jianyong Wang, Furu Wei
Retentive Network: A Successor to Transformer for Large Language Models. CoRR (2023)
Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. OSDI (2023)
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
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. OSDI (2022)
Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui
Dense-to-Sparse Gate for Mixture-of-Experts. CoRR (2021)
Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. OSDI (2020)
Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
Distributed Graph Computation Meets Machine Learning. IEEE Trans. Parallel Distributed Syst. 31 (7) (2020)
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX Annual Technical Conference (2019)
Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou
Fast Distributed Deep Learning over RDMA. EuroSys (2019)
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR (2018)
Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR (2018)
Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai
Processing Concurrent Graph Analytics with Decoupled Computation Model. IEEE Trans. Computers 66 (5) (2017)
Lingxiao Ma, Zhi Yang, Han Chen, Jilong Xue, Yafei Dai
Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. USENIX Annual Technical Conference (2017)
Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
: Distributed Graph Computation for Machine Learning. NSDI (2017)
Zhi Yang, Jilong Xue, Xiaoyong Yang, Xiao Wang, Yafei Dai
VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils. IEEE Trans. Dependable Secur. Comput. 13 (4) (2016)
Shenglong Li, Jilong Xue, Zhi Yang, Yafei Dai
Efficient Distributed Machine Learning with Trigger Driven Parallel Training. GLOBECOM (2016)
Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai
When computing meets heterogeneous cluster: Workload assignment in graph computation. IEEE BigData (2015)
Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai
Process-driven Analysis of Dynamics in Online Social Interactions. COSN (2015)
Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai
Uncovering User Interaction Dynamics in Online Social Networks. ICWSM (2015)
Zhi Yang, Yuanjian Xing, Chi Chen, Jilong Xue, Yafei Dai
Understanding the performance of offline download in real p2p networks. Peer-to-Peer Netw. Appl. 8 (6) (2015)
Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
GraM: scaling graph computation to the trillions. SoCC (2015)
Lifang Liu, Xiaogang Qi, Jilong Xue, Mande Xie
A Topology Construct and Control Model with Small-World and Scale-Free Concepts for Heterogeneous Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014)
Jilong Xue, Zhi Yang, Zhi Qu, Shian Hou, Yafei Dai
Seraph: an efficient, low-cost system for concurrent graph processing. HPDC (2014)
Zhi Yang, Jilong Xue, Han Xiao Zhao, Xiao Wang, Ben Y. Zhao, Yafei Dai
Unfolding dynamics in a social network: co-evolution oflink formation and user interaction. WWW (Companion Volume) (2013)
Jilong Xue, Zhi Yang, Xiaoyong Yang, Xiao Wang, Lijiang Chen, Yafei Dai
VoteTrust: Leveraging friend invitation graph to defend against social network Sybils. INFOCOM (2013)
Yuanjian Xing, Zhi Yang, Chi Chen, Jilong Xue, Yafei Dai
On the QoS of Offline Download in Retrieving Peer-Side File Resource. ICPP (2011)