Shaoshan Liu

Orcid: 0000-0002-5132-8351

Affiliations:
  • PerceptIn, CA, USA


According to our database1, Shaoshan Liu authored at least 133 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

Online presence:

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Bibliography

2024
ICE-SEARCH: A Language Model-Driven Feature Selection Approach.
CoRR, 2024

AICOM-MP: an AI-based monkeypox detector for resource-constrained environments.
Connect. Sci., 2024

2023
A Distributed Pricing Strategy for Edge Computation Offloading Optimization in Autonomous Driving.
IEEE Netw., September, 2023

Dilemma of the Artificial Intelligence Regulatory Landscape.
Commun. ACM, September, 2023

An Energy Efficient and Runtime Reconfigurable Accelerator for Robotic Localization.
IEEE Trans. Computers, July, 2023

The Need for a Global Standard of Artificial Intelligence Regulation.
SIGCAS Comput. Soc., April, 2023

Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems.
CoRR, 2023

FGLQR: Factor Graph Accelerator of LQR Control for Autonomous Machines.
CoRR, 2023

A Comprehensive Review and Systematic Analysis of Artificial Intelligence Regulation Policies.
CoRR, 2023

Autonomy 2.0: The Quest for Economies of Scale.
CoRR, 2023

AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach.
CoRR, 2023

Compliance Costs of AI Technology Commercialization: A Field Deployment Perspective.
CoRR, 2023

Analysis and Optimization of Worst-Case Time Disparity in Cause-Effect Chains.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

BLITZCRANK: Factor Graph Accelerator for Motion Planning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective.
IEEE Wirel. Commun., 2022

Rise of the Automotive Health-Domain Controllers: Empowering Healthcare Services in Intelligent Vehicles.
IEEE Internet Things J., 2022

Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators.
CoRR, 2022

AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments.
CoRR, 2022

INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving.
CoRR, 2022

Factor Graph Accelerator for LiDAR-Inertial Odometry.
CoRR, 2022

Programming Autonomous Machines.
CoRR, 2022

Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Access.
CoRR, 2022

π-Learner: A Lifelong Roadside Learning Framework for Infrastructure Augmented Autonomous Driving.
Computer, 2022

Autonomous Vehicles Digital Twin: A Practical Paradigm for Autonomous Driving System Development.
Computer, 2022

Rise of the Autonomous Machines.
Computer, 2022

Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

Braum: Analyzing and Protecting Autonomous Machine Software Stack.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper).
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Programming Autonomous Machines : Special Session Paper.
Proceedings of the International Conference on Embedded Software, 2022

An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Robotic Computing on FPGAs
Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01771-1, 2021

4C: A Computation, Communication, and Control Co-Design Framework for CAVs.
IEEE Wirel. Commun., 2021

Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware.
IEEE Robotics Autom. Lett., 2021

A Task-Aware Fine-Grained Storage Selection Mechanism for In-Memory Big Data Computing Frameworks.
Int. J. Parallel Program., 2021

Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card.
CoRR, 2021

The Promise of Dataflow Architectures in the Design of Processing Systems for Autonomous Machines.
CoRR, 2021

The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing.
CoRR, 2021

Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities.
CoRR, 2021

Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures.
Computer, 2021

Engineering Education in the Age of Autonomous Machines.
Computer, 2021

CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design.
Commun. ACM, 2021

Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Brief Industry Paper: The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Brief Industry Paper: An Edge-Based High-Definition Map Crowdsourcing Task Distribution Framework for Autonomous Driving.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

A KNN Query Method for Autonomous Driving Sensor Data.
Proceedings of the Network and Parallel Computing, 2021

Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Streaming Data Priority Scheduling Framework for Autonomous Driving by Edge.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
Creating Autonomous Vehicle Systems, Second Edition
Synthesis Lectures on Computer Science, Morgan & Claypool Publishers, ISBN: 978-3-031-01805-3, 2020

$\pi$π-BA: Bundle Adjustment Hardware Accelerator Based on Distribution of 3D-Point Observations.
IEEE Trans. Computers, 2020

π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms.
Future Gener. Comput. Syst., 2020

Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines.
CoRR, 2020

An Energy-Efficient High Definition Map Data Distribution Mechanism for Autonomous Driving.
CoRR, 2020

A Survey of FPGA-Based Robotic Computing.
CoRR, 2020

Critical Business Decision Making for Technology Startups - A PerceptIn Case Study.
CoRR, 2020

CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way.
CoRR, 2020

Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments.
Computer, 2020

A Container Based Edge Offloading Framework for Autonomous Driving.
IEEE Access, 2020

LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services.
IEEE Access, 2020

Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

π-Map: A Decision-Based Sensor Fusion with Global Optimization for Indoor Mapping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Real-Time Spatio-Temporal LiDAR Point Cloud Compression.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Edge Computing for Autonomous Driving: Opportunities and Challenges.
Proc. IEEE, 2019

Enabling Commercial Autonomous Space Robotic Explorers.
CoRR, 2019

PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization.
CoRR, 2019

PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services.
CoRR, 2019

A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark.
Proceedings of the Network and Parallel Computing, 2019

Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018
PI-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines.
CoRR, 2018

PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures.
CoRR, 2018

Energy-Aware Automatic Tuning of Many-Core Platform via Gradient Descent.
Proceedings of the 2018 IEEE SmartWorld, 2018

Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry Using Points and Lines.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

Teaching Autonomous Driving Using a Modular and Integrated Approach.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Creating Autonomous Vehicle Systems
Synthesis Lectures on Computer Science, Morgan & Claypool Publishers, ISBN: 978-3-031-01802-2, 2017

Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1.
CoRR, 2017

Distributed Simulation Platform for Autonomous Driving.
CoRR, 2017

Embedded Systems Architecture for SLAM Applications.
CoRR, 2017

Enabling Embedded Inference Engine with ARM Compute Library: A Case Study.
CoRR, 2017

CAAD: Computer Architecture for Autonomous Driving.
CoRR, 2017

Implementing a Cloud Platform for Autonomous Driving.
CoRR, 2017

Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm.
CoRR, 2017

Enabling Deep Learning on IoT Devices.
Computer, 2017

Computer Architectures for Autonomous Driving.
Computer, 2017

A Unified Cloud Platform for Autonomous Driving.
Computer, 2017

Computer, Drive My Car!
Computer, 2017

Accelerating Lattice Quantum Chromodynamics Simulations with Value Prediction.
Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing, 2017

Distributed Simulation Platform for Autonomous Driving.
Proceedings of the Internet of Vehicles. Technologies and Services for Smart Cities, 2017

FPGA-based ORB feature extraction for real-time visual SLAM.
Proceedings of the International Conference on Field Programmable Technology, 2017

2014
An Energy and Performance Efficient DVFS Scheme for Irregular Parallel Divide-and-Conquer Algorithms on the Intel SCC.
IEEE Comput. Archit. Lett., 2014

2013
Achieving energy efficiency through runtime partial reconfiguration on reconfigurable systems.
ACM Trans. Embed. Comput. Syst., 2013

Acceleration of XML Parsing through Prefetching.
IEEE Trans. Computers, 2013

Practical models for energy-efficient prefetching in mobile embedded systems.
Microprocess. Microsystems, 2013

Pinned OS/Services: A Case Study of XML Parsing on Intel SCC.
J. Comput. Sci. Technol., 2013

OCP: Offload Co-Processor for energy efficiency in embedded mobile systems.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012
Achieving middleware execution efficiency: hardware-assisted garbage collection operations.
J. Supercomput., 2012

Minimizing the runtime partial reconfiguration overheads in reconfigurable systems.
J. Supercomput., 2012

Packer: Parallel Garbage Collection Based on Virtual Spaces.
IEEE Trans. Computers, 2012

Introducing the Extremely Heterogeneous Architecture.
J. Interconnect. Networks, 2012

Power-Efficient Schemes via Workload Characterization on the Intel's Single-Chip Cloud Computer.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011
RHE: A JVM Courseware.
IEEE Trans. Educ., 2011

Workload characterization of cryptography algorithms for hardware acceleration (abstracts only).
SIGMETRICS Perform. Evaluation Rev., 2011

Space-and-Time Efficient Parallel Garbage Collector for Data-Intensive Applications.
Int. J. Parallel Program., 2011

Value Prediction and Speculative Execution on GPU.
Int. J. Parallel Program., 2011

Prefetching in Embedded Mobile Systems Can Be Energy-Efficient.
IEEE Comput. Archit. Lett., 2011

Workload Characterization of Cryptography Algorithms for Hardware Acceleration.
Proceedings of the ICPE'11, 2011

Memory-Side Acceleration for XML Parsing.
Proceedings of the Network and Parallel Computing - 8th IFIP International Conference, 2011

2010
The Performance Analysis and Hardware Acceleration of Crypto-computations for Enhanced Security.
Proceedings of the 16th IEEE Pacific Rim International Symposium on Dependable Computing, 2010

Hardware-assisted security mechanism: The acceleration of cryptographic operations with low hardware cost.
Proceedings of the 29th International Performance Computing and Communications Conference, 2010

Speculative Execution on GPU: An Exploratory Study.
Proceedings of the 39th International Conference on Parallel Processing, 2010

A Theoretical Framework for Value Prediction in Parallel Systems.
Proceedings of the 39th International Conference on Parallel Processing, 2010

Minimizing partial reconfiguration overhead with fully streaming DMA engines and intelligent ICAP controller (abstract only).
Proceedings of the ACM/SIGDA 18th International Symposium on Field Programmable Gate Arrays, 2010

Energy reduction with run-time partial reconfiguration (abstract only).
Proceedings of the ACM/SIGDA 18th International Symposium on Field Programmable Gate Arrays, 2010

Hardware-assisted middleware: Acceleration of garbage collection operations.
Proceedings of the 21st IEEE International Conference on Application-specific Systems Architectures and Processors, 2010

On energy efficiency of reconfigurable systems with run-time partial reconfiguration.
Proceedings of the 21st IEEE International Conference on Application-specific Systems Architectures and Processors, 2010

2009
Potential Impact of Value Prediction on Communication in Many-Core Architectures.
IEEE Trans. Computers, 2009

Packer: An innovative space-time-efficient parallel garbage collection algorithm based on virtual spaces.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

RHE: A Lightweight JVM Instructional Tool.
Proceedings of the 33rd Annual IEEE International Computer Software and Applications Conference, 2009

Space-and-time efficient garbage collectors for parallel systems.
Proceedings of the 6th Conference on Computing Frontiers, 2009

2008
The potential of fine-grained value prediction in enhancing the performance of modern parallel machines.
Proceedings of the 13th Asia-Pacific Computer Systems Architecture Conference, 2008

2007
Synchronization Mechanisms on Modern Multi-core Architectures.
Proceedings of the Advances in Computer Systems Architecture, 2007

2006
Prototyping Virtual Cancer Therapist (VCT): A Software Engineering Approach.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006


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