LAP: A Lightweight Automata Processor for Pattern Matching Tasks. - Haojun Xia; Lei Gong; Chao Wang 003; Xianglan Chen; Xuehai Zhou (DATE, 2021)

HyperKRP: A Kernel Runtime Security Architecture with A Tiny Hypervisor on Commodity Hardware. - Kunli Lin; Wenqing Liu; Kun Zhang 016; Haojun Xia; Bibo Tu (GLOBECOM, 2021)

η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities. - Xingyao Zhang; Haojun Xia; Donglin Zhuang; Hao Sun; Xin Fu; Michael B. Taylor; Shuaiwen Leon Song (ISCA, 2021)

AddrArmor: An Address-based Runtime Code-reuse Attack Mitigation for Shared Objects at the Binary-level. - Kunli Lin; Haojun Xia; Kun Zhang 016; Bibo Tu (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. - Qiyu Wan; Haojun Xia; Xingyao Zhang; Lening Wang; Shuaiwen Leon Song; Xin Fu (MICRO, 2021)

Evaluation and Optimization on Virtualization Performance Cost under Semantic Gap. - Qi Wang; Haojun Xia; Kun Zhang 016; Bibo Tu (CSCWD, 2022)

Secure and Efficient BMC-Based Centralized Management Method for Large-Scale Data Centers. - Hongwei Liu; Haojun Xia; Bibo Tu (HPCC/DSS/SmartCity/DependSys, 2022)

A Secure and Efficient USB-based In-band Communication Interface between Host and BMC. - Hongwei Liu; Haojun Xia; Bibo Tu; Da Zhang; Xiaotong Wang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity. - Haojun Xia; Zhen Zheng; Yuchao Li; Donglin Zhuang; Zhongzhu Zhou; Xiafei Qiu; Yong Li 020; Wei Lin 016; Shuaiwen Leon Song (CoRR, 2023)

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. - Xiaoxia Wu; Haojun Xia; Stephen Youn; Zhen Zheng; Shiyang Chen 004; Arash Bakhtiari; Michael Wyatt; Reza Yazdani Aminabadi; Yuxiong He; Olatunji Ruwase; Leon Song; Zhewei Yao (CoRR, 2023)

Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity. - Haojun Xia; Zhen Zheng; Yuchao Li; Donglin Zhuang; Zhongzhu Zhou; Xiafei Qiu; Yong Li 020; Wei Lin 016; Shuaiwen Leon Song (Proc. VLDB Endow., 2023)

Enabling Fast and Memory-Efficient Acceleration for Pattern Matching Workloads: The Lightweight Automata Processing Engine. - Lei Gong; Chao Wang 003; Haojun Xia; Xianglan Chen; Xi Li 003; Xuehai Zhou (IEEE Trans. Computers, 2023)

Desktop Virtualization Optimization Methods Based on IDV Architecture. - Shuang Liang; Haojun Xia; Chen Li; Bibo Tu (CSCWD, 2024)

An Efficient Caching Mechanism for End-host Network Functions. - Yu Tian; Haojun Xia; Chen Li; Bibo Tu (CSCWD, 2024)

Continuous Authentication Technology Based on Device Driver Behavior. - Haojun Xia; Hongwei Liu; Da Zhang; Haohao Liu; Xiaotong Wang; Bibo Tu (CSCWD, 2024)

EI-XIDS: An explainable intrusion detection system based on integration framework. - Yang Xu; Chen Li 066; Kun Zhang 016; Haojun Xia; Bibo Tu (CSCWD, 2024)

MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures. - Donglin Zhuang; Zhen Zheng; Haojun Xia; Xiafei Qiu; Junjie Bai; Wei Lin 016; Shuaiwen Leon Song (OSDI, 2024)

A Self-Supervised Targeted Process Anomaly Detection Method Based on the Minimum Set of Observed Events. - Haojun Xia; Limin Sun 001; Wenliang Liu; Jingyi Xie; Zhanwei Song; Bibo Tu (TrustCom, 2024)

Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. - Haojun Xia; Zhen Zheng; Xiaoxia Wu; Shiyang Chen 004; Zhewei Yao; Stephen Youn; Arash Bakhtiari; Michael Wyatt; Donglin Zhuang; Zhongzhu Zhou; Olatunji Ruwase; Yuxiong He; et al. (USENIX ATC, 2024)

FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. - Haojun Xia; Zhen Zheng; Xiaoxia Wu; Shiyang Chen 004; Zhewei Yao; Stephen Youn; Arash Bakhtiari; Michael Wyatt; Donglin Zhuang; Zhongzhu Zhou; Olatunji Ruwase; Yuxiong He; et al. (CoRR, 2024)

Interference Monitoring for Colocated Workloads in Low-Entropy Computing Systems. - Da Zhang; Haojun Xia; Xiaotong Wang; Yanchang Feng; Bibo Tu (CSCWD, 2025)