Jilong Xue

Orcid: 0000-0002-4495-1997

According to our database¹, Jilong Xue authored at least 36 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing.

[BibT_eX]

[DOI]

Peichen Xie

Yanjie Gao

Jilong Xue

CoRR, 2024

GRIN: GRadient-INformed MoE.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

Optimizing Dynamic Neural Networks with Brainstorm.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2022

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.

[BibT_eX]

[DOI]

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

2021

Dense-to-Sparse Gate for Mixture-of-Experts.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Distributed Graph Computation Meets Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks.

[BibT_eX]

[DOI]

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

2019

NeuGraph: Parallel Deep Neural Network Computation on Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Fast Distributed Deep Learning over RDMA.

[BibT_eX]

[DOI]

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

2018

Towards Efficient Large-Scale Graph Neural Network Computing.

[BibT_eX]

[DOI]

CoRR, 2018

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Processing Concurrent Graph Analytics with Decoupled Computation Model.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Tux<sup>2</sup>: Distributed Graph Computation for Machine Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2016

Efficient Distributed Machine Learning with Trigger Driven Parallel Training.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

Understanding the performance of offline download in real p2p networks.

[BibT_eX]

[DOI]

Peer-to-Peer Netw. Appl., 2015

Uncovering User Interaction Dynamics in Online Social Networks.

[BibT_eX]

[DOI]

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

Process-driven Analysis of Dynamics in Online Social Interactions.

[BibT_eX]

[DOI]

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

GraM: scaling graph computation to the trillions.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2014

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Parallel Processing, 2011

Jilong Xue

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