Prototyping Virtual Cancer Therapist (VCT): A Software Engineering Approach. - Shaoshan Liu; Jean-Luc Gaudiot; Vittorio Cristini (EMBC, 2006)

Synchronization Mechanisms on Modern Multi-core Architectures. - Shaoshan Liu; Jean-Luc Gaudiot (Asia-Pacific Computer Systems Architecture Conference, 2007)

The potential of fine-grained value prediction in enhancing the performance of modern parallel machines. - Shaoshan Liu; Jean-Luc Gaudiot (ACSAC, 2008)

Space-and-time efficient garbage collectors for parallel systems. - Shaoshan Liu; Ligang Wang 001; Xiao-Feng Li; Jean-Luc Gaudiot (Conf. Computing Frontiers, 2009)

RHE: A Lightweight JVM Instructional Tool. - Shaoshan Liu; Chengrui Deng; Xiao-Feng Li; Jean-Luc Gaudiot (COMPSAC (1), 2009)

Packer: An innovative space-time-efficient parallel garbage collection algorithm based on virtual spaces. - Shaoshan Liu; Ligang Wang 001; Xiao-Feng Li; Jean-Luc Gaudiot (IPDPS, 2009)

Potential Impact of Value Prediction on Communication in Many-Core Architectures. - Shaoshan Liu; Jean-Luc Gaudiot (IEEE Trans. Computers, 2009)

On energy efficiency of reconfigurable systems with run-time partial reconfiguration. - Shaoshan Liu; Richard Neil Pittman; Alessandro Form; Jean-Luc Gaudiot (ASAP, 2010)

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

Energy reduction with run-time partial reconfiguration (abstract only). - Shaoshan Liu; Richard Neil Pittman; Alessandro Forin (FPGA, 2010)

Minimizing partial reconfiguration overhead with fully streaming DMA engines and intelligent ICAP controller (abstract only). - Shaoshan Liu; Richard Neil Pittman; Alessandro Forin (FPGA, 2010)

A Theoretical Framework for Value Prediction in Parallel Systems. - Shaoshan Liu; Christine Eisenbeis; Jean-Luc Gaudiot (ICPP, 2010)

Speculative Execution on GPU: An Exploratory Study. - Shaoshan Liu; Christine Eisenbeis; Jean-Luc Gaudiot (ICPP, 2010)

Hardware-assisted security mechanism: The acceleration of cryptographic operations with low hardware cost. - Jed Kao-Tung Chang; Shaoshan Liu; Jean-Luc Gaudiot; Chen Liu 001 (IPCCC, 2010)

The Performance Analysis and Hardware Acceleration of Crypto-computations for Enhanced Security. - Jed Kao-Tung Chang; Shaoshan Liu; Jean-Luc Gaudiot; Chen Liu 001 (PRDC, 2010)

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

Workload Characterization of Cryptography Algorithms for Hardware Acceleration. - Jed Kao-Tung Chang; Chen Liu 001; Shaoshan Liu; Jean-Luc Gaudiot (ICPE, 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)

Value Prediction and Speculative Execution on GPU. - Shaoshan Liu; Christine Eisenbeis; Jean-Luc Gaudiot (Int. J. Parallel Program., 2011)

Space-and-Time Efficient Parallel Garbage Collector for Data-Intensive Applications. - Shaoshan Liu; Ligang Wang 001; Xiao-Feng Li; Jean-Luc Gaudiot (Int. J. Parallel Program., 2011)

Workload characterization of cryptography algorithms for hardware acceleration (abstracts only). - Jed Kao-Tung Chang; Chen Liu 001; Shaoshan Liu; Jean-Luc Gaudiot (SIGMETRICS Perform. Evaluation Rev., 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)

Introducing the Extremely Heterogeneous Architecture. - Shaoshan Liu; Won Woo Ro; Chen Liu 001; Alfredo Cristóbal-Salas; Christophe Cérin; Jian-Jun Han; Jean-Luc Gaudiot (J. Interconnect. Networks, 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)

Minimizing the runtime partial reconfiguration overheads in reconfigurable systems. - Shaoshan Liu; Richard Neil Pittman; Alessandro Forin; Jean-Luc Gaudiot (J. Supercomput., 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)

Achieving energy efficiency through runtime partial reconfiguration on reconfigurable systems. - Shaoshan Liu; Richard Neil Pittman; Alessandro Forin; Jean-Luc Gaudiot (ACM Trans. Embed. Comput. Syst., 2013)

An Energy and Performance Efficient DVFS Scheme for Irregular Parallel Divide-and-Conquer Algorithms on the Intel SCC. - Yu-Liang Chou; Shaoshan Liu; Eui-Young Chung; Jean-Luc Gaudiot (IEEE Comput. Archit. Lett., 2014)

FPGA-based ORB feature extraction for real-time visual SLAM. - Weikang Fang; Yanjun Zhang; Bo Yu 014; Shaoshan Liu (FPT, 2017)

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

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

Computer, Drive My Car! - Shaoshan Liu; James Peng; Jean-Luc Gaudiot (Computer, 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)

Enabling Embedded Inference Engine with ARM Compute Library: A Case Study. - Dawei Sun; Shaoshan Liu; 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)

CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles. - Yifan Wang 005; Shaoshan Liu; Xiaopei Wu; Weisong Shi (SEC, 2018)

PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. - Zhe Zhang 006; Shaoshan Liu; Grace Tsai; Hongbing Hu; Chen-Chi Chu; Feng Zheng (ICRA, 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)

Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry Using Points and Lines. - Feng Zheng; Grace Tsai; Zhe Zhang 006; Shaoshan Liu; Chen-Chi Chu; Hongbing Hu (IROS, 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)

PI-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines. - Feng Zheng; Grace Tsai; Zhe Zhang 006; Shaoshan Liu; Chen-Chi Chu; Hongbing Hu (CoRR, 2018)

π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. - Shuzhen Qin; Qiang Liu 011; Bo Yu 014; Shaoshan Liu (FCCM, 2019)

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)

PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. - Shuzhen Qin; Qiang Liu 011; Bo Yu 014; Shaoshan Liu (CoRR, 2019)

Enabling Commercial Autonomous Space Robotic Explorers. - Thomas Yuang Li; Shaoshan Liu (CoRR, 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)

Real-Time Spatio-Temporal LiDAR Point Cloud Compression. - Yu Feng 007; Shaoshan Liu; Yuhao Zhu 001 (IROS, 2020)

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)

CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. - Shaoshan Liu; Bin Ren; Xipeng Shen; Yanzhi Wang (CoRR, 2020)

Critical Business Decision Making for Technology Startups - A PerceptIn Case Study. - Shaoshan Liu (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)

iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. - Tian Gao; Zishen Wan; Yuyang Zhang; Bo Yu 014; Yanjun Zhang; Shaoshan Liu; Arijit Raychowdhury (AICAS, 2021)

An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. - Zishen Wan; Yuyang Zhang; Arijit Raychowdhury; Bo Yu 014; Yanjun Zhang; Shaoshan Liu (AICAS, 2021)

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)

Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Hsin-Hsuan Sung; Shaoshan Liu; Sijia Liu 001; Xipeng Shen; Bin Ren; Yanzhi Wang; Xue Lin 001 (RTAS, 2021)

CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. - Hui Guan 001; Shaoshan Liu; Xiaolong Ma; Wei Niu 002; Bin Ren; Xipeng Shen; Yanzhi Wang; Pu Zhao 001 (Commun. ACM, 2021)

Engineering Education in the Age of Autonomous Machines. - Shaoshan Liu; Jean-Luc Gaudiot; Hironori Kasahara (Computer, 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)

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)

The Promise of Dataflow Architectures in the Design of Processing Systems for Autonomous Machines. - Shaoshan Liu; Yuhao Zhu 001; Bo Yu 014; Jean-Luc Gaudiot; Guang R. Gao (CoRR, 2021)

Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Shaoshan Liu; Bin Ren; Yanzhi Wang; Xipeng Shen (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)

Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware. - Tianze Wu; Baofu Wu; Sa Wang; Liangkai Liu; Shaoshan Liu; Yungang Bao; Weisong Shi (IEEE Robotics Autom. Lett., 2021)

4C: A Computation, Communication, and Control Co-Design Framework for CAVs. - Liangkai Liu; Shaoshan Liu; Weisong Shi (IEEE Wirel. Commun., 2021)

Robotic Computing on FPGAs - Shaoshan Liu; Zishen Wan; Bo Yu 014; Yu Wang (Morgan & Claypool Publishers, 2021)

Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. - Zishen Wan; Ashwin Sanjay Lele; Bo Yu 014; Shaoshan Liu; Yu Wang; Vijay Janapa Reddi; Cong Hao; Arijit Raychowdhury (AICAS, 2022)

An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. - Qiang Liu 011; Zishen Wan; Bo Yu 014; Weizhuang Liu; Shaoshan Liu; Arijit Raychowdhury (CICC, 2022)

Programming Autonomous Machines : Special Session Paper. - Shaoshan Liu; Xiaoming Li 010; Tongsheng Geng; Stéphane Zuckerman; Jean-Luc Gaudiot (EMSOFT, 2022)

Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper). - Yuhui Hao; Bo Yu 014; Qiang Liu 011; Shaoshan Liu; Yuhao Zhu 001 (ICCAD, 2022)

Braum: Analyzing and Protecting Autonomous Machine Software Stack. - Yiming Gan; Paul N. Whatmough; Jingwen Leng; Bo Yu 014; Shaoshan Liu; Yuhao Zhu 001 (ISSRE, 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)

Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Bin Ren; Yanzhi Wang; Shaoshan Liu; Xipeng Shen (RTAS, 2022)

Rise of the Autonomous Machines. - Shaoshan Liu; Jean-Luc Gaudiot (Computer, 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)

π-Learner: A Lifelong Roadside Learning Framework for Infrastructure Augmented Autonomous Driving. - Kunai Zhang; Yahui Liu; Weiqiang Zhang; Shaoshan Liu (Computer, 2022)

Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Access. - Shaoshan Liu; Yuzhang Huang; Leiyu Shi (CoRR, 2022)

Programming Autonomous Machines. - Shaoshan Liu; Xiaoming Li 010; Tongsheng Geng; Stéphane Zuckerman; Jean-Luc Gaudiot (CoRR, 2022)

Factor Graph Accelerator for LiDAR-Inertial Odometry. - Yuhui Hao; Bo Yu 014; Qiang Liu 011; Shaoshan Liu; Yuhao Zhu 001 (CoRR, 2022)

INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving. - Tianze Wu; Shaoshan Liu; Bo Yu 014; Sa Wang; Yungang Bao; Weisong Shi (CoRR, 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)

Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators. - Abhishek Tyagi; Yiming Gan; Shaoshan Liu; Bo Yu 014; Paul N. Whatmough; Yuhao Zhu 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)

BLITZCRANK: Factor Graph Accelerator for Motion Planning. - Yuhui Hao; Yiming Gan; Bo Yu 014; Qiang Liu 011; Shaoshan Liu; Yuhao Zhu 001 (DAC, 2023)

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

Analysis and Optimization of Worst-Case Time Disparity in Cause-Effect Chains. - Xu Jiang 004; Xiantong Luo; Nan Guan; Zheng Dong 002; Shaoshan Liu; Wang Yi 001 (DATE, 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)

Compliance Costs of AI Technology Commercialization: A Field Deployment Perspective. - Weiyue Wu; Shaoshan Liu (CoRR, 2023)

AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach. - Tim Tianyi Yang; Tom Tianze Yang; Na An; Ao Kong; Shaoshan Liu; Xue (Steve) Liu (CoRR, 2023)

A Comprehensive Review and Systematic Analysis of Artificial Intelligence Regulation Policies. - Weiyue Wu; Shaoshan Liu (CoRR, 2023)

FGLQR: Factor Graph Accelerator of LQR Control for Autonomous Machines. - Yuhui Hao; Bo Yu 014; Qiang Liu 011; Shaoshan Liu (CoRR, 2023)

Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems. - Wenjing Xie; Tao Hu; Neiwen Ling; Guoliang Xing; Shaoshan Liu; Nan Guan (CoRR, 2023)

The Need for a Global Standard of Artificial Intelligence Regulation. - Weiyue Wu; Shaoshan Liu (SIGCAS Comput. Soc., 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)

Dilemma of the Artificial Intelligence Regulatory Landscape. - Weiyue Wu; Shaoshan Liu (Commun. ACM, 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)

Comparison of Rationales and Approaches of Artificial Intelligence Regulatory Policies in the U.S, EU and China Draws Recommendations on a 'Fit for Purpose' Global AI Governance Mechanism. - Ao Kongiyue Wu; Weiyue Wu; Shaoshan Liu (SIGCAS Comput. Soc., 2023)

Navigating AI Regulation in Africa: Challenges and Considerations. - Shaoshan Liu (SIGCAS Comput. Soc., 2023)

Acheiving United Nations' SDG3 Through Empowering Health Artificial Intelligence on Resource-Constrained Mobile Devices Without Connectivity. - Tim Tianyi Yang; Tom Tianze Yang; Shaoshan Liu; Xue Liu 001 (SIGCAS Comput. Soc., 2023)

ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. - Yuhui Hao; Yiming Gan; Bo Yu 014; Qiang Liu 011; Yinhe Han 001; Zishen Wan; Shaoshan Liu (ASPLOS (2), 2024)

Accelerating Autonomous Path Planning on FPGAs with Sparsity-Aware HW/SW Co-Optimizations. - Xiaoyu Niu; Yanjun Zhang; Yifan Zhang; Hongzheng Tian; Bo Yu 014; Shaoshan Liu; Sitao Huang (FPGA, 2024)

Dataflow Accelerator Architecture for Autonomous Machine Computing. - Shaoshan Liu; Yuhao Zhu 001; Bo Yu 014; Jean-Luc Gaudiot; Guangrong Gao (ICCAD, 2024)

A Sparsity-Aware Autonomous Path Planning Accelerator with Algorithm-Architecture Co-Design. - Yanjun Zhang; Xiaoyu Niu; Yifan Zhang; Hongzheng Tian; Bo Yu 014; Shaoshan Liu; Sitao Huang (ICCAD, 2024)

AICOM-MP: an AI-based monkeypox detector for resource-constrained environments. - Tim Tianyi Yang; Tom Tianze Yang; Andrew Liu; Na An; Shaoshan Liu; Xue Liu 001 (Connect. Sci., 2024)

ICE-SEARCH: A Language Model-Driven Feature Selection Approach. - Tom Tianze Yang; Tim Tianyi Yang; Shaoshan Liu; Fuyuan Lyu; Xue Liu 001 (CoRR, 2024)

Corki: Enabling Real-time Embodied AI Robots via Algorithm-Architecture Co-Design. - Yiyang Huang; Yuhui Hao; Bo Yu 014; Feng Yan; Yuxin Yang 002; Feng Min; Yinhe Han 001; Lin Ma 002; Shaoshan Liu; Qiang Liu 011; Yiming Gan (CoRR, 2024)

VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines. - Zishen Wan; Yiming Gan; Bo Yu 014; Shaoshan Liu; Arijit Raychowdhury; Yuhao Zhu 001 (CoRR, 2024)

DaDu-E: Rethinking the Role of Large Language Model in Robotic Computing Pipeline. - Wenhao Sun; Sai Hou; Zixuan Wang; Bo Yu 014; Shaoshan Liu; Xu Yang; Shuai Liang; Yiming Gan; Yinhe Han 001 (CoRR, 2024)

Shaping the Outlook for the Autonomy Economy. - Shaoshan Liu (Commun. ACM, 2024)

The Vulnerability-Adaptive Protection Paradigm. - Zishen Wan; Yiming Gan; Bo Yu 014; Shaoshan Liu; Arijit Raychowdhury; Yuhao Zhu 001 (Commun. ACM, 2024)

Dadu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation. - Yiyang Huang; Yuhui Hao; Bo Yu 014; Feng Yan; Yuxin Yang 002; Feng Min; Yinhe Han 001; Lin Ma 002; Shaoshan Liu; Qiang Liu 011; Yiming Gan (ISCA, 2025)

OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds. - Fan Wang 021; Pengtao Shao; Yiming Zhang; Bo Yu 014; Shaoshan Liu; Ning Ding; Yang Cao 010; Yu Kang 001; Haifeng Wang 001 (CoRR, 2025)

Putting the Smarts into Robot Bodies. - Wang Fan; Shaoshan Liu (Commun. ACM, 2025)

Autonomy 2.0: The Quest for Economies of Scale. - Shuang Wu; Bo Yu 014; Shaoshan Liu; Yuhao Zhu 001 (Commun. ACM, 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)

Conceptual Framework Toward Embodied Collective Adaptive Intelligence. - Fan Wang 021; Shaoshan Liu (CoRR, 2025)

Training Cross-Morphology Embodied AI Agents: From Practical Challenges to Theoretical Foundations. - Shaoshan Liu; Fan Wang 021; Hongjun Zhou; Yuanfeng Wang (CoRR, 2025)

A Sparsity-Aware Autonomous Path Planning Accelerator with HW/SW Co-Design and Multi-Level Dataflow Optimization. - Yifan Zhang; Xiaoyu Niu; Hongzheng Tian; Yanjun Zhang; Bo Yu 014; Shaoshan Liu; Sitao Huang (CoRR, 2025)

Empowering Virtual Agents With Intelligent Systems. - Fan Wang; Shaoshan Liu (Commun. ACM, 2025)