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2020 – today
- 2024
[c21]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: 307-323- [c20]Yiqi Liu
, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang:
Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10. SOSP 2024: 505-521 - [i10]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 abs/2402.17764 (2024) - [i9]Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang:
Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor. CoRR abs/2408.04808 (2024) - [i8]Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang:
LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. CoRR abs/2408.06003 (2024) - [i7]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:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - [i6]Peichen Xie, Yanjie Gao, Jilong Xue:
FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing. CoRR abs/2411.00442 (2024) - 2023
- [j6]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): 110:1-110:19 (2023) - [c19]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 - [c18]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: 681-699 - [c17]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: 701-718 - [c16]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: 797-815 - [i5]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 abs/2304.03946 (2023) - [i4]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 abs/2307.08621 (2023) - 2022
- [c15]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: 233-248 - 2021
- [i3]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 abs/2112.14397 (2021) - 2020
- [j5]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): 1588-1604 (2020) - [c14]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: 881-897
2010 – 2019
- 2019
- [c13]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
Fast Distributed Deep Learning over RDMA. EuroSys 2019: 44:1-44:14 - [c12]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX ATC 2019: 443-458 - 2018
- [i2]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR abs/1805.08430 (2018) - [i1]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR abs/1810.08403 (2018) - 2017
- [j4]Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai:
Processing Concurrent Graph Analytics with Decoupled Computation Model. IEEE Trans. Computers 66(5): 876-890 (2017) - [c11]Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou:
Tux2: Distributed Graph Computation for Machine Learning. NSDI 2017: 669-682 - [c10]Lingxiao Ma, Zhi Yang, Han Chen, Jilong Xue, Yafei Dai:
Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. USENIX ATC 2017: 195-207 - 2016
- [j3]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): 488-501 (2016) - [c9]Shenglong Li, Jilong Xue, Zhi Yang, Yafei Dai:
Efficient Distributed Machine Learning with Trigger Driven Parallel Training. GLOBECOM 2016: 1-6 - 2015
- [j2]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): 992-1007 (2015) - [c8]Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai:
When computing meets heterogeneous cluster: Workload assignment in graph computation. IEEE BigData 2015: 154-163 - [c7]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: 408-421 - [c6]Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai:
Process-driven Analysis of Dynamics in Online Social Interactions. COSN 2015: 139-149 - [c5]Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai:
Uncovering User Interaction Dynamics in Online Social Networks. ICWSM 2015: 698-701 - 2014
- [j1]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) - [c4]Jilong Xue, Zhi Yang, Zhi Qu, Shian Hou, Yafei Dai:
Seraph: an efficient, low-cost system for concurrent graph processing. HPDC 2014: 227-238 - 2013
- [c3]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: 2400-2408 - [c2]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: 67-68 - 2011
- [c1]Yuanjian Xing, Zhi Yang, Chi Chen, Jilong Xue, Yafei Dai:
On the QoS of Offline Download in Retrieving Peer-Side File Resource. ICPP 2011: 783-792
Coauthor Index
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