Jilong Xue

According to our database, Jilong Xue authored at least 34 papers between 2011 and 2024.

Collaborative distances:

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

2024

GRIN: GRadient-INformed MoE.

Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen

CoRR, 2024

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

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

CoRR, 2024

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei

CoRR, 2024

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.

Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

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

Proc. ACM Manag. Data, 2023

Retentive Network: A Successor to Transformer for Large Language Models.

Yutao Sun, Li Dong, Shaohan Huang, Shuming Ma, Yuqing Xia, Jilong Xue, Jianyong Wang, Furu Wei

CoRR, 2023

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.

Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Optimizing Dynamic Neural Networks with Brainstorm.

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

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Welder: Scheduling Deep Learning Memory Access via Tile-graph.

Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.

Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2022

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.

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

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

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, Bin Cui

CoRR, 2021

2020

Distributed Graph Computation Meets Machine Learning.

Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou

IEEE Trans. Parallel Distributed Syst., 2020

Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks.

Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

2019

NeuGraph: Parallel Deep Neural Network Computation on Large Graphs.

Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Fast Distributed Deep Learning over RDMA.

Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou

Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

2018

Towards Efficient Large-Scale Graph Neural Network Computing.

Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai

CoRR, 2018

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA.

Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou

CoRR, 2018

2017

Processing Concurrent Graph Analytics with Decoupled Computation Model.

Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai

IEEE Trans. Computers, 2017

Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication.

Lingxiao Ma, Zhi Yang, Han Chen, Jilong Xue, Yafei Dai

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Tux²: Distributed Graph Computation for Machine Learning.

Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

2016

VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils.

Zhi Yang, Jilong Xue, Xiaoyong Yang, Xiao Wang, Yafei Dai

IEEE Trans. Dependable Secur. Comput., 2016

Efficient Distributed Machine Learning with Trigger Driven Parallel Training.

Shenglong Li, Jilong Xue, Zhi Yang, Yafei Dai

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

Understanding the performance of offline download in real p2p networks.

Zhi Yang, Yuanjian Xing, Chi Chen, Jilong Xue, Yafei Dai

Peer-to-Peer Netw. Appl., 2015

Uncovering User Interaction Dynamics in Online Social Networks.

Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Process-driven Analysis of Dynamics in Online Social Interactions.

Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai

Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

GraM: scaling graph computation to the trillions.

Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

When computing meets heterogeneous cluster: Workload assignment in graph computation.

Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

A Topology Construct and Control Model with Small-World and Scale-Free Concepts for Heterogeneous Sensor Networks.

Lifang Liu, Xiaogang Qi, Jilong Xue, Mande Xie

Int. J. Distributed Sens. Networks, 2014

Seraph: an efficient, low-cost system for concurrent graph processing.

Jilong Xue, Zhi Yang, Zhi Qu, Shian Hou, Yafei Dai

Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

2013

Unfolding dynamics in a social network: co-evolution oflink formation and user interaction.

Zhi Yang, Jilong Xue, Han Xiao Zhao, Xiao Wang, Ben Y. Zhao, Yafei Dai

Proceedings of the 22nd International World Wide Web Conference, 2013

VoteTrust: Leveraging friend invitation graph to defend against social network Sybils.

Jilong Xue, Zhi Yang, Xiaoyong Yang, Xiao Wang, Lijiang Chen, Yafei Dai

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2011

On the QoS of Offline Download in Retrieving Peer-Side File Resource.

Yuanjian Xing, Zhi Yang, Chi Chen, Jilong Xue, Yafei Dai

Proceedings of the International Conference on Parallel Processing, 2011