The Stable Conditions of a Task-Pair with Helper-Thread in CMP. - Zhimin Gu; Ninghan Zheng; Yi Zhang; Changding Liu; Jie Tang 003; Yan Huang 011 (PDPTA, 2009)

Hardware-assisted middleware: Acceleration of garbage collection operations. - Jie Tang 003; Shaoshan Liu; Zhimin Gu; Xiao-Feng Li; Jean-Luc Gaudiot (ASAP, 2010)

Improving Performance of the Irregular Data Intensive Application with Small Computation Workload for CMPs. - Zhimin Gu; Yinxia Fu; Ninghan Zheng; Jianxun Zhang; Min Cai; Yan Huang 011; Jie Tang 003 (ICPP Workshops, 2011)

Memory-Side Acceleration for XML Parsing. - Jie Tang 003; Shaoshan Liu; Zhimin Gu; Chen Liu 001; Jean-Luc Gaudiot (NPC, 2011)

Prefetching in Embedded Mobile Systems Can Be Energy-Efficient. - Jie Tang 003; Shaoshan Liu; Zhimin Gu; Chen Liu 001; Jean-Luc Gaudiot (IEEE Comput. Archit. Lett., 2011)

RHE: A JVM Courseware. - Shaoshan Liu; Jie Tang 003; Chengrui Deng; Xiao-Feng Li; Jean-Luc Gaudiot (IEEE Trans. Educ., 2011)

Power-Efficient Schemes via Workload Characterization on the Intel's Single-Chip Cloud Computer. - Gustavo A. Chaparro-Baquero; Qi Zhou; Chen Liu 001; Jie Tang 003; Shaoshan Liu (IPDPS Workshops, 2012)

Reducing Cache Pollution of Threaded Prefetching by Controlling Prefetch Distance. - Yan Huang 011; Zhimin Gu; Jie Tang 003; Min Cai; Jianxun Zhang; Ninghan Zheng (IPDPS Workshops, 2012)

Estimating Effective Prefetch Distance in Threaded Prefetching for Linked Data Structures. - Yan Huang 011; Zhimin Gu; Jie Tang 003; Min Cai; Jianxun Zhang; Ninghan Zheng (Int. J. Parallel Program., 2012)

The Performance Optimization of Threaded Prefetching for Linked Data Structures. - Yan Huang 011; Jie Tang 003; Zhimin Gu; Min Cai; Jianxun Zhang; Ninghan Zheng (Int. J. Parallel Program., 2012)

Packer: Parallel Garbage Collection Based on Virtual Spaces. - Shaoshan Liu; Jie Tang 003; Ligang Wang 001; Xiao-Feng Li; Jean-Luc Gaudiot (IEEE Trans. Computers, 2012)

Achieving middleware execution efficiency: hardware-assisted garbage collection operations. - Jie Tang 003; Shaoshan Liu; Zhimin Gu; Xiao-Feng Li; Jean-Luc Gaudiot (J. Supercomput., 2012)

OCP: Offload Co-Processor for energy efficiency in embedded mobile systems. - Jie Tang 003; Chen Liu 001; Yu-Liang Chou; Shaoshan Liu (ASAP, 2013)

Pinned OS/Services: A Case Study of XML Parsing on Intel SCC. - Jie Tang 003; Pollawat Thanarungroj; Chen Liu 001; Shaoshan Liu; Zhimin Gu; Jean-Luc Gaudiot (J. Comput. Sci. Technol., 2013)

Practical models for energy-efficient prefetching in mobile embedded systems. - Jie Tang 003; Chen Liu 001; Shaoshan Liu; Jean-Luc Gaudiot (Microprocess. Microsystems, 2013)

Acceleration of XML Parsing through Prefetching. - Jie Tang 003; Shaoshan Liu; Chen Liu 001; Zhimin Gu; Jean-Luc Gaudiot (IEEE Trans. Computers, 2013)

An Energy and Memory Trade-off Study on Resource Constrained Embedded JVM. - Jie Tang 003; Chen Liu 001 (ICPP Workshops, 2014)

How can Garbage Collection be energy efficient by dynamic offloading? - Jie Tang 003; Chen Liu 001; Jean-Luc Gaudiot (ASAP, 2015)

Distributed Simulation Platform for Autonomous Driving. - Jie Tang 003; Shaoshan Liu; Chao Wang; Chen Liu 001 (IOV, 2017)

CSAS: Cost-Based Storage Auto-Selection, a Fine Grained Storage Selection Mechanism for Spark. - Bo Wang 139; Jie Tang 003; Rui Zhang; Zhimin Gu (NPC, 2017)

Accelerating Lattice Quantum Chromodynamics Simulations with Value Prediction. - Jie Tang 003; Shaoshan Liu; Chen Liu 001; Christine Eisenbeis; Jean-Luc Gaudiot (SC², 2017)

A Unified Cloud Platform for Autonomous Driving. - Shaoshan Liu; Jie Tang 003; Chao Wang; Quan Wang; Jean-Luc Gaudiot (Computer, 2017)

Computer Architectures for Autonomous Driving. - Shaoshan Liu; Jie Tang 003; Zhe Zhang 006; Jean-Luc Gaudiot (Computer, 2017)

Enabling Deep Learning on IoT Devices. - Jie Tang 003; Dawei Sun; Shaoshan Liu; Jean-Luc Gaudiot (Computer, 2017)

Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. - Shaoshan Liu; Bolin Ding; Jie Tang 003; Dawei Sun; Zhe Zhang 006; Grace Tsai; Jean-Luc Gaudiot (CoRR, 2017)

Implementing a Cloud Platform for Autonomous Driving. - Shaoshan Liu; Jie Tang 003; Chao Wang; Quan Wang; Jean-Luc Gaudiot (CoRR, 2017)

CAAD: Computer Architecture for Autonomous Driving. - Shaoshan Liu; Jie Tang 003; Zhe Zhang 006; Jean-Luc Gaudiot (CoRR, 2017)

Embedded Systems Architecture for SLAM Applications. - Jie Tang 003; Shaoshan Liu; Jean-Luc Gaudiot (CoRR, 2017)

Distributed Simulation Platform for Autonomous Driving. - Jie Tang 003; Shaoshan Liu; Chao Wang; Quan Wang (CoRR, 2017)

Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1. - Jie Tang 003; Yong Ren; Shaoshan Liu (CoRR, 2017)

Creating Autonomous Vehicle Systems - Shaoshan Liu; Liyun Li; Jie Tang 003; Shuang Wu; Jean-Luc Gaudiot (Morgan & Claypool Publishers, 2017)

Teaching Autonomous Driving Using a Modular and Integrated Approach. - Jie Tang 003; Shaoshan Liu; Songwen Pei; Stéphane Zuckerman; Chen Liu 001; Weisong Shi; Jean-Luc Gaudiot (COMPSAC (1), 2018)

π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. - Jie Tang 003; Bo Yu 014; Shaoshan Liu; Zhe Zhang 006; Weikang Fang; Yanjun Zhang (IROS, 2018)

LCRC: A Dependency-Aware Cache Management Policy for Spark. - Bo Wang 139; Jie Tang 003; Rui Zhang; Wei Ding; Deyu Qi 001 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Energy-Aware Automatic Tuning of Many-Core Platform via Gradient Descent. - Samer Akiki; Zhiliu Yang; Chen Liu 001; Jie Tang 003; Shaoshan Liu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. - Liu Liu 017; Shaoshan Liu; Zhe Zhang 006; Bo Yu 014; Jie Tang 003; Yuan Xie 001 (CoRR, 2018)

Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures. - Bo Wang 139; Jie Tang 003; Rui Zhang; Wei Ding; Shaoshan Liu; Deyu Qi 001 (HPCC/SmartCity/DSS, 2019)

A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark. - Hang Zhao; Yu Rao; Donghua Li; Jie Tang 003; Shaoshan Liu (NPC, 2019)

PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. - Jie Tang 003; Shaoshan Liu; Bo Yu 014; Weisong Shi (CoRR, 2019)

A Dependency-Aware Storage Schema Selection Mechanism for In-Memory Big Data Computing Frameworks. - Bo Wang 139; Jie Tang 003; Rui Zhang; Wei Ding; Deyu Qi 001 (Int. J. Parallel Program., 2019)

Edge Computing for Autonomous Driving: Opportunities and Challenges. - Shaoshan Liu; Liangkai Liu; Jie Tang 003; Bo Yu 014; Yifan Wang 005; Weisong Shi (Proc. IEEE, 2019)

π-Map: A Decision-Based Sensor Fusion with Global Optimization for Indoor Mapping. - Zhiliu Yang; Bo Yu 014; Wei Hu; Jie Tang 003; Shaoshan Liu; Chen Liu 001 (IROS, 2020)

Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations. - Bo Yu 014; Wei Hu; Leimeng Xu; Jie Tang 003; Shaoshan Liu; Yuhao Zhu 001 (MICRO, 2020)

LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. - Jie Tang 003; Shaoshan Liu; Liangkai Liu; Bo Yu 014; Weisong Shi (IEEE Access, 2020)

A Container Based Edge Offloading Framework for Autonomous Driving. - Jie Tang 003; Yu Rao; Shaoshan Liu; Jean-Luc Gaudiot (IEEE Access, 2020)

Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments. - Bai Li 002; Shaoshan Liu; Jie Tang 003; Jean-Luc Gaudiot; Liangliang Zhang; Qi Kong (Computer, 2020)

A Data Streaming Process Framework for Autonomous Driving By Edge. - Hang Zhao; Jie Tang 003 (CoRR, 2020)

A Survey of FPGA-Based Robotic Computing. - Zishen Wan; Bo Yu 014; Thomas Yuang Li; Jie Tang 003; Yuhao Zhu 001; Yu Wang; Arijit Raychowdhury; Shaoshan Liu (CoRR, 2020)

An Energy-Efficient High Definition Map Data Distribution Mechanism for Autonomous Driving. - Jinliang Xie; Jie Tang 003; Shaoshan Liu (CoRR, 2020)

Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines. - Yiming Gan; Yu Bo; Boyuan Tian; Leimeng Xu; Wei Hu; Shaoshan Liu; Qiang Liu 011; Yanjun Zhang; Jie Tang 003; Yuhao Zhu 001 (CoRR, 2020)

π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms. - Jie Tang 003; Shaoshan Liu; Jie Cao 003; Dawei Sun; Bolin Ding; Jean-Luc Gaudiot; Weisong Shi (Future Gener. Comput. Syst., 2020)

$ pi$π-BA: Bundle Adjustment Hardware Accelerator Based on Distribution of 3D-Point Observations. - Qiang Liu 011; Shuzhen Qin; Bo Yu 014; Jie Tang 003; Shaoshan Liu (IEEE Trans. Computers, 2020)

Creating Autonomous Vehicle Systems, Second Edition - Shaoshan Liu; Liyun Li; Jie Tang 003; Shuang Wu; Jean-Luc Gaudiot (Creating Autonomous Vehicle Systems (2nd Ed.), 2020)

On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. - Bo Yu 014; Jie Tang 003; Shaoshan Liu (ASP-DAC, 2021)

Streaming Data Priority Scheduling Framework for Autonomous Driving by Edge. - Lingbing Yao; Hang Zhao; Jie Tang 003; Shaoshan Liu; Jean-Luc Gaudiot (COMPSAC, 2021)

Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. - Shaoshan Liu; Bo Yu 014; Jie Tang 003; Qi Zhu 002 (DAC, 2021)

Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. - Yiming Gan; Bo Yu 014; Boyuan Tian; Leimeng Xu; Wei Hu; Shaoshan Liu; Qiang Liu 011; Yanjun Zhang; Jie Tang 003; Yuhao Zhu 001 (HPCA, 2021)

Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. - Weizhuang Liu; Bo Yu 014; Yiming Gan; Qiang Liu 011; Jie Tang 003; Shaoshan Liu; Yuhao Zhu 001 (MICRO, 2021)

A KNN Query Method for Autonomous Driving Sensor Data. - Jie Tang 003; Jiehui Zhang; Zhixin Zeng; Shaoshan Liu (NPC, 2021)

Brief Industry Paper: An Edge-Based High-Definition Map Crowdsourcing Task Distribution Framework for Autonomous Driving. - Donghua Li; Jie Tang 003; Shaoshan Liu (RTAS, 2021)

Brief Industry Paper: The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. - Shaoshan Liu; Bo Yu 014; Yahui Liu; Kunai Zhang; Yisong Qiao; Thomas Yuang Li; Jie Tang 003; Yuhao Zhu 001 (RTAS, 2021)

Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. - Jinliang Xie; Jie Tang 003; Yanzhi Wang; Qi Zhu 002; Shaoshan Liu (RTAS, 2021)

Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. - Liu Liu 017; Jie Tang 003; Shaoshan Liu; Bo Yu 014; Yuan Xie 001; Jean-Luc Gaudiot (Computer, 2021)

An edge streaming data processing framework for autonomous driving. - Hang Zhao; Linbin Yao; Zhixin Zeng; Donghua Li; Jinliang Xie; Weiling Zhu; Jie Tang 003 (Connect. Sci., 2021)

Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. - Shaoshan Liu; Bo Yu 014; Jie Tang 003; Qi Zhu 002 (CoRR, 2021)

The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. - Shaoshan Liu; Bo Yu 014; Yahui Liu; Kunai Zhang; Yisong Qiao; Thomas Yuang Li; Jie Tang 003; Yuhao Zhu 001 (CoRR, 2021)

A Task-Aware Fine-Grained Storage Selection Mechanism for In-Memory Big Data Computing Frameworks. - Bo Wang 139; Jie Tang 003; Rui Zhang; Jialei Liu; Shaoshan Liu; Deyu Qi 001 (Int. J. Parallel Program., 2021)

TransMigrator: A Transformer-Based Predictive Page Migration Mechanism for Heterogeneous Memory. - Songwen Pei; Jianan Li; Yihuan Qian; Jie Tang 003; Jean-Luc Gaudiot (NPC, 2022)

Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. - Shaoshan Liu; Jianda Wang; Zhendong Wang; Bo Yu 014; Wei Hu; Yahui Liu; Jie Tang 003; Shuaiwen Leon Song; Cong Liu 005; Yang Hu 001 (RTAS, 2022)

Autonomous Vehicles Digital Twin: A Practical Paradigm for Autonomous Driving System Development. - Bo Yu 014; Chongyu Chen; Jie Tang 003; Shaoshan Liu; Jean-Luc Gaudiot (Computer, 2022)

AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments. - Tim Tianyi Yang; Tom Tianze Yang; Andrew Liu; Jie Tang 003; Na An; Shaoshan Liu; Xue Liu 001 (CoRR, 2022)

Rise of the Automotive Health-Domain Controllers: Empowering Healthcare Services in Intelligent Vehicles. - Shaoshan Liu; Yuzhang Huang; Ao Kong; Jie Tang 003; Xue Liu 001 (IEEE Internet Things J., 2022)

Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective. - Shaoshan Liu; Bo Yu 014; Jie Tang 003; Yuhao Zhu 001; Xue Liu 001 (IEEE Wirel. Commun., 2022)

Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. - Bo Yu 014; Jie Tang 003; Shaoshan Liu (DAC, 2023)

HAU$ mathbf {M^3}$: A Height Aware Urban Map Matching Mechanism. - Jie Tang 003; Sunjian Zheng; Bo Yu 014; Shaoshan Liu (MobiQuitous (1), 2023)

Cloud and Edge Computing for Connected and Automated Vehicles. - Qi Zhu 002; Bo Yu 014; Ziran Wang; Jie Tang 003; Qi Alfred Chen; Zihao Li; Xiangguo Liu; Yunpeng Luo; Lingzi Tu (Found. Trends Electron. Des. Autom., 2023)

An Energy Efficient and Runtime Reconfigurable Accelerator for Robotic Localization. - Qiang Liu 011; Yuhui Hao; Weizhuang Liu; Bo Yu 014; Yiming Gan; Jie Tang 003; Shaoshan Liu; Yuhao Zhu 001 (IEEE Trans. Computers, 2023)

Data Fusion in Infrastructure-Augmented Autonomous Driving System: Why? Where? and How? - Jianda Wang; Zhendong Wang; Bo Yu 014; Jie Tang 003; Shuaiwen Leon Song; Cong Liu 005; Yang Hu 001 (IEEE Internet Things J., 2023)

A Distributed Pricing Strategy for Edge Computation Offloading Optimization in Autonomous Driving. - Jie Tang 003; Weilin Zhu; Xiaoming Li 010; Shaoshan Liu; Xue Liu 001 (IEEE Netw., 2023)

3-D Line Matching Network Based on Matching Existence Guidance and Knowledge Distillation. - Jie Tang 003; Yong Liu; Bo Yu 014; Xue (Steve) Liu (IEEE Internet Things J., 2024)

Intelligent Page Migration on Heterogeneous Memory by Using Transformer. - Songwen Pei; Wei Qin; Jianan Li; Junhao Tan; Jie Tang 003; Jean-Luc Gaudiot (Int. J. Parallel Program., 2024)

G2L-Stereo: Global to Local Two-Stage Real-Time Stereo Matching Network. - Jie Tang 003; Gaofeng Peng; Jialu Liu; Bo Yu 014 (IEEE Trans. Computational Imaging, 2025)

Elevation-Aware Map Matching Model Leveraging Transfer Learning in Sparse Data Conditions. - Jie Tang 003; Sunjian Zheng; Bo Yu 014; Xue Liu 001 (IEEE Trans. Intell. Transp. Syst., 2025)

ADDT - A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems. - Bo Yu 014; Chaoran Yuan; Zishen Wan; Jie Tang 003; Fadi Kurdahi; Shaoshan Liu (CoRR, 2025)