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ORCIDHaojun Xia
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2020 – today
- 2024
[c14]Yu Tian, Haojun Xia, Chen Li, Bibo Tu:
An Efficient Caching Mechanism for End-host Network Functions. CSCWD 2024: 699-704- [c13]Yang Xu, Chen Li, Kun Zhang, Haojun Xia, Bibo Tu:
EI-XIDS: An explainable intrusion detection system based on integration framework. CSCWD 2024: 2680-2685 - [c12]Haojun Xia, Hongwei Liu, Da Zhang, Haohao Liu, Xiaotong Wang, Bibo Tu:
Continuous Authentication Technology Based on Device Driver Behavior. CSCWD 2024: 2806-2811 - [c11]Shuang Liang, Haojun Xia, Chen Li, Bibo Tu:
Desktop Virtualization Optimization Methods Based on IDV Architecture. CSCWD 2024: 2894-2899 - [c10]Donglin Zhuang, Zhen Zheng, Haojun Xia, Xiafei Qiu, Junjie Bai, Wei Lin, Shuaiwen Leon Song:
MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures. OSDI 2024: 989-1005 - [c9]Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. USENIX ATC 2024: 699-713 - [i4]Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. CoRR abs/2401.14112 (2024) - 2023
- [j2]Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song:
Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity. Proc. VLDB Endow. 17(2): 211-224 (2023) - [j1]Lei Gong
, Chao Wang, Haojun Xia, Xianglan Chen, Xi Li, Xuehai Zhou:
Enabling Fast and Memory-Efficient Acceleration for Pattern Matching Workloads: The Lightweight Automata Processing Engine. IEEE Trans. Computers 72(4): 1011-1025 (2023) - [i3]Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song:
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity. CoRR abs/2309.10285 (2023) - [i2]Xiaoxia Wu, Haojun Xia, Stephen Youn, Zhen Zheng, Shiyang Chen, Arash Bakhtiari, Michael Wyatt, Reza Yazdani Aminabadi, Yuxiong He, Olatunji Ruwase, Leon Song, Zhewei Yao:
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. CoRR abs/2312.08583 (2023) - 2022
- [c8]Qi Wang, Haojun Xia, Kun Zhang, Bibo Tu:
Evaluation and Optimization on Virtualization Performance Cost under Semantic Gap. CSCWD 2022: 329-334 - [c7]Hongwei Liu, Haojun Xia, Bibo Tu:
Secure and Efficient BMC-Based Centralized Management Method for Large-Scale Data Centers. HPCC/DSS/SmartCity/DependSys 2022: 1328-1335 - [c6]Hongwei Liu, Haojun Xia, Bibo Tu, Da Zhang, Xiaotong Wang:
A Secure and Efficient USB-based In-band Communication Interface between Host and BMC. ISPA/BDCloud/SocialCom/SustainCom 2022: 228-237 - 2021
- [c5]Haojun Xia, Lei Gong, Chao Wang, Xianglan Chen, Xuehai Zhou:
LAP: A Lightweight Automata Processor for Pattern Matching Tasks. DATE 2021: 844-849 - [c4]Kunli Lin, Wenqing Liu, Kun Zhang, Haojun Xia, Bibo Tu:
HyperKRP: A Kernel Runtime Security Architecture with A Tiny Hypervisor on Commodity Hardware. GLOBECOM 2021: 1-6 - [c3]Xingyao Zhang, Haojun Xia, Donglin Zhuang, Hao Sun, Xin Fu, Michael B. Taylor, Shuaiwen Leon Song:
η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities. ISCA 2021: 567-580 - [c2]Kunli Lin, Haojun Xia, Kun Zhang, Bibo Tu:
AddrArmor: An Address-based Runtime Code-reuse Attack Mitigation for Shared Objects at the Binary-level. ISPA/BDCloud/SocialCom/SustainCom 2021: 117-124 - [c1]Qiyu Wan, Haojun Xia, Xingyao Zhang, Lening Wang, Shuaiwen Leon Song, Xin Fu:
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. MICRO 2021: 885-897 - [i1]Qiyu Wan, Haojun Xia, Xingyao Zhang, Lening Wang, Shuaiwen Leon Song, Xin Fu:
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. CoRR abs/2110.03553 (2021)
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