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ORCIDShaoshan Liu
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- affiliation: PerceptIn, CA, USA
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2020 – today
- 2024
[j46]Shaoshan Liu:
Shaping the Outlook for the Autonomy Economy. Commun. ACM 67(6): 10-12 (2024)- [j45]Zishen Wan
, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu:
The Vulnerability-Adaptive Protection Paradigm. Commun. ACM 67(9): 66-77 (2024) - [j44]Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Na An, Shaoshan Liu, Xue Liu:
AICOM-MP: an AI-based monkeypox detector for resource-constrained environments. Connect. Sci. 36(1) (2024) - [c57]Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu:
ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. ASPLOS (2) 2024: 813-829 - [c56]Xiaoyu Niu, Yanjun Zhang, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang:
Accelerating Autonomous Path Planning on FPGAs with Sparsity-Aware HW/SW Co-Optimizations. FPGA 2024: 42 - [i52]Tom Tianze Yang, Tim Tianyi Yang, Shaoshan Liu, Fuyuan Lyu, Xue Liu:
ICE-SEARCH: A Language Model-Driven Feature Selection Approach. CoRR abs/2402.18609 (2024) - [i51]Yiyang Huang, Yuhui Hao, Bo Yu, Feng Yan, Yuxin Yang, Feng Min, Yinhe Han, Lin Ma, Shaoshan Liu, Qiang Liu, Yiming Gan:
Corki: Enabling Real-time Embodied AI Robots via Algorithm-Architecture Co-Design. CoRR abs/2407.04292 (2024) - [i50]Zishen Wan, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu:
VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines. CoRR abs/2409.19892 (2024) - 2023
- [j43]Weiyue Wu, Shaoshan Liu:
Dilemma of the Artificial Intelligence Regulatory Landscape. Commun. ACM 66(9): 28-31 (2023) - [j42]Jie Tang, Weilin Zhu, Xiaoming Li, Shaoshan Liu, Xue Liu:
A Distributed Pricing Strategy for Edge Computation Offloading Optimization in Autonomous Driving. IEEE Netw. 37(5): 49-55 (2023) - [j41]Weiyue Wu, Shaoshan Liu:
The Need for a Global Standard of Artificial Intelligence Regulation. SIGCAS Comput. Soc. 52(1): 16 (2023) - [j40]Ao Kongiyue Wu, Weiyue Wu, Shaoshan Liu:
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. SIGCAS Comput. Soc. 52(2): 14-16 (2023) - [j39]Tim Tianyi Yang, Tom Tianze Yang, Shaoshan Liu, Xue Liu:
Acheiving United Nations' SDG3 Through Empowering Health Artificial Intelligence on Resource-Constrained Mobile Devices Without Connectivity. SIGCAS Comput. Soc. 52(3): 6-9 (2023) - [j38]Shaoshan Liu:
Navigating AI Regulation in Africa: Challenges and Considerations. SIGCAS Comput. Soc. 52(3): 8 (2023) - [j37]Qiang Liu, Yuhui Hao, Weizhuang Liu, Bo Yu, Yiming Gan, Jie Tang, Shaoshan Liu, Yuhao Zhu:
An Energy Efficient and Runtime Reconfigurable Accelerator for Robotic Localization. IEEE Trans. Computers 72(7): 1943-1957 (2023) - [c55]Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu:
BLITZCRANK: Factor Graph Accelerator for Motion Planning. DAC 2023: 1-6 - [c54]Bo Yu, Jie Tang, Shaoshan Liu:
Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. DAC 2023: 1-4 - [c53]Xu Jiang, Xiantong Luo, Nan Guan, Zheng Dong, Shaoshan Liu, Wang Yi:
Analysis and Optimization of Worst-Case Time Disparity in Cause-Effect Chains. DATE 2023: 1-6 - [i49]Weiyue Wu, Shaoshan Liu:
Compliance Costs of AI Technology Commercialization: A Field Deployment Perspective. CoRR abs/2301.13454 (2023) - [i48]Tim Tianyi Yang, Tom Tianze Yang, Na An, Ao Kong, Shaoshan Liu, Xue (Steve) Liu:
AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach. CoRR abs/2306.10324 (2023) - [i47]Shuang Wu, Bo Yu, Shaoshan Liu, Yuhao Zhu:
Autonomy 2.0: The Quest for Economies of Scale. CoRR abs/2307.03973 (2023) - [i46]Weiyue Wu, Shaoshan Liu:
A Comprehensive Review and Systematic Analysis of Artificial Intelligence Regulation Policies. CoRR abs/2307.12218 (2023) - [i45]Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu:
FGLQR: Factor Graph Accelerator of LQR Control for Autonomous Machines. CoRR abs/2308.02768 (2023) - [i44]Wenjing Xie, Tao Hu, Neiwen Ling, Guoliang Xing, Shaoshan Liu, Nan Guan:
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems. CoRR abs/2309.04806 (2023) - 2022
- [j36]Shaoshan Liu, Jean-Luc Gaudiot:
Rise of the Autonomous Machines. Computer 55(1): 64-73 (2022) - [j35]Kunai Zhang, Yahui Liu, Weiqiang Zhang, Shaoshan Liu:
π-Learner: A Lifelong Roadside Learning Framework for Infrastructure Augmented Autonomous Driving. Computer 55(6): 30-39 (2022) - [j34]Bo Yu, Chongyu Chen, Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot:
Autonomous Vehicles Digital Twin: A Practical Paradigm for Autonomous Driving System Development. Computer 55(9): 26-34 (2022) - [j33]Shaoshan Liu, Yuzhang Huang, Ao Kong, Jie Tang, Xue Liu:
Rise of the Automotive Health-Domain Controllers: Empowering Healthcare Services in Intelligent Vehicles. IEEE Internet Things J. 9(24): 24882-24889 (2022) - [j32]Shaoshan Liu, Bo Yu, Jie Tang, Yuhao Zhu, Xue Liu:
Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective. IEEE Wirel. Commun. 29(4): 126-131 (2022) - [c52]Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury:
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. AICAS 2022: 291-295 - [c51]Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury:
An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CICC 2022: 1-2 - [c50]Shaoshan Liu, Xiaoming Li, Tongsheng Geng, Stéphane Zuckerman, Jean-Luc Gaudiot:
Programming Autonomous Machines : Special Session Paper. EMSOFT 2022: 24-33 - [c49]Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu:
Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper). ICCAD 2022: 103:1-103:7 - [c48]Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu:
Braum: Analyzing and Protecting Autonomous Machine Software Stack. ISSRE 2022: 85-96 - [c47]Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu:
Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. RTAS 2022: 293-296 - [c46]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen:
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. RTAS 2022: 297-300 - [e1]Shaoshan Liu, Xiaohui Wei:
Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Jinan, China, September 24-25, 2022, Proceedings. Lecture Notes in Computer Science 13615, Springer 2022, ISBN 978-3-031-21394-6 [contents] - [i43]Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury:
An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CoRR abs/2202.08952 (2022) - [i42]Shaoshan Liu, Yuzhang Huang, Leiyu Shi:
Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Access. CoRR abs/2204.04841 (2022) - [i41]Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury:
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. CoRR abs/2205.07149 (2022) - [i40]Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu:
Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. CoRR abs/2207.00737 (2022) - [i39]Shaoshan Liu, Xiaoming Li, Tongsheng Geng, Stéphane Zuckerman, Jean-Luc Gaudiot:
Programming Autonomous Machines. CoRR abs/2209.02193 (2022) - [i38]Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu:
Factor Graph Accelerator for LiDAR-Inertial Odometry. CoRR abs/2209.02207 (2022) - [i37]Tian-Ze Wu, Shaoshan Liu, Bo Yu, Sa Wang, Yungang Bao, Weisong Shi:
INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving. CoRR abs/2210.15939 (2022) - [i36]Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Jie Tang, Na An, Shaoshan Liu, Xue Liu:
AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments. CoRR abs/2211.14313 (2022) - [i35]Abhishek Tyagi, Yiming Gan, Shaoshan Liu, Bo Yu, Paul N. Whatmough, Yuhao Zhu:
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators. CoRR abs/2212.02649 (2022) - 2021
- [b3]Shaoshan Liu, Zishen Wan, Bo Yu, Yu Wang:
Robotic Computing on FPGAs. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00643-2, pp. 1-218 - [j31]Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao:
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM 64(6): 62-68 (2021) - [j30]Liu Liu, Jie Tang, Shaoshan Liu, Bo Yu, Yuan Xie, Jean-Luc Gaudiot:
Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. Computer 54(4): 14-25 (2021) - [j29]Shaoshan Liu, Jean-Luc Gaudiot, Hironori Kasahara:
Engineering Education in the Age of Autonomous Machines. Computer 54(4): 66-69 (2021) - [j28]Bo Wang, Jie Tang, Rui Zhang, Jialei Liu, Shaoshan Liu, Deyu Qi:
A Task-Aware Fine-Grained Storage Selection Mechanism for In-Memory Big Data Computing Frameworks. Int. J. Parallel Program. 49(1): 25-50 (2021) - [j27]Tian-Ze Wu, Baofu Wu, Sa Wang, Liangkai Liu, Shaoshan Liu, Yungang Bao, Weisong Shi:
Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware. IEEE Robotics Autom. Lett. 6(4): 7301-7308 (2021) - [j26]Liangkai Liu, Shaoshan Liu, Weisong Shi:
4C: A Computation, Communication, and Control Co-Design Framework for CAVs. IEEE Wirel. Commun. 28(4): 42-48 (2021) - [c45]Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. AICAS 2021: 1-4 - [c44]Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. AICAS 2021: 1-4 - [c43]Bo Yu, Jie Tang, Shaoshan Liu:
On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. ASP-DAC 2021: 742-747 - [c42]Lingbing Yao, Hang Zhao, Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot:
Streaming Data Priority Scheduling Framework for Autonomous Driving by Edge. COMPSAC 2021: 37-42 - [c41]Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu:
Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. DAC 2021: 1323-1326 - [c40]Yiming Gan, Bo Yu, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu:
Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. HPCA 2021: 827-840 - [c39]Weizhuang Liu, Bo Yu, Yiming Gan, Qiang Liu, Jie Tang, Shaoshan Liu, Yuhao Zhu:
Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. MICRO 2021: 479-493 - [c38]Jie Tang, Jiehui Zhang, Zhixin Zeng, Shaoshan Liu:
A KNN Query Method for Autonomous Driving Sensor Data. NPC 2021: 76-89 - [c37]Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu:
Brief Industry Paper: The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. RTAS 2021: 413-416 - [c36]Jinliang Xie, Jie Tang, Yanzhi Wang, Qi Zhu, Shaoshan Liu:
Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. RTAS 2021: 421-424 - [c35]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS 2021: 425-428 - [c34]Donghua Li, Jie Tang, Shaoshan Liu:
Brief Industry Paper: An Edge-Based High-Definition Map Crowdsourcing Task Distribution Framework for Autonomous Driving. RTAS 2021: 453-456 - [i34]Shaoshan Liu, Jean-Luc Gaudiot, Hironori Kasahara:
Engineering Education in the Age of Autonomous Machines. CoRR abs/2102.07900 (2021) - [i33]Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu:
Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. CoRR abs/2103.02176 (2021) - [i32]Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu:
The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. CoRR abs/2103.16045 (2021) - [i31]Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. CoRR abs/2104.00192 (2021) - [i30]Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury:
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. CoRR abs/2104.05112 (2021) - [i29]Shaoshan Liu, Jean-Luc Gaudiot:
Rise of the Autonomous Machines. CoRR abs/2106.13987 (2021) - [i28]Liangkai Liu, Shaoshan Liu, Weisong Shi:
4C: A Computation, Communication, and Control Co-Design Framework for CAVs. CoRR abs/2107.01142 (2021) - [i27]Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guang R. Gao:
The Promise of Dataflow Architectures in the Design of Processing Systems for Autonomous Machines. CoRR abs/2109.07047 (2021) - [i26]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. CoRR abs/2110.06373 (2021) - [i25]Weiyue Wu, Shaoshan Liu:
Dilemma of the Artificial Intelligence Regulatory Landscape. CoRR abs/2112.09325 (2021) - 2020
- [b2]Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot:
Creating Autonomous Vehicle Systems, Second Edition. Synthesis Lectures on Computer Science, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00677-7 - [j25]Jie Tang, Shaoshan Liu, Liangkai Liu, Bo Yu, Weisong Shi:
LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. IEEE Access 8: 30467-30479 (2020) - [j24]Jie Tang, Yu Rao, Shaoshan Liu, Jean-Luc Gaudiot:
A Container Based Edge Offloading Framework for Autonomous Driving. IEEE Access 8: 33713-33726 (2020) - [j23]Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong:
Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments. Computer 53(11): 26-35 (2020) - [j22]Jie Tang, Shaoshan Liu, Jie Cao, Dawei Sun, Bolin Ding, Jean-Luc Gaudiot, Weisong Shi:
π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms. Future Gener. Comput. Syst. 102: 514-523 (2020) - [j21]Qiang Liu, Shuzhen Qin, Bo Yu, Jie Tang, Shaoshan Liu:
$\pi$π-BA: Bundle Adjustment Hardware Accelerator Based on Distribution of 3D-Point Observations. IEEE Trans. Computers 69(7): 1083-1095 (2020) - [c33]Zhiliu Yang, Bo Yu, Wei Hu, Jie Tang, Shaoshan Liu, Chen Liu:
π-Map: A Decision-Based Sensor Fusion with Global Optimization for Indoor Mapping. IROS 2020: 4821-4827 - [c32]Yu Feng, Shaoshan Liu, Yuhao Zhu:
Real-Time Spatio-Temporal LiDAR Point Cloud Compression. IROS 2020: 10766-10773 - [c31]Bo Yu, Wei Hu, Leimeng Xu, Jie Tang, Shaoshan Liu, Yuhao Zhu:
Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations. MICRO 2020: 1067-1081 - [i24]Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong:
Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments. CoRR abs/2001.08096 (2020) - [i23]Shaoshan Liu, Bin Ren, Xipeng Shen, Yanzhi Wang:
CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. CoRR abs/2003.06700 (2020) - [i22]Yu Feng, Shaoshan Liu, Yuhao Zhu:
Real-Time Spatio-Temporal LiDAR Point Cloud Compression. CoRR abs/2008.06972 (2020) - [i21]Shaoshan Liu:
Critical Business Decision Making for Technology Startups - A PerceptIn Case Study. CoRR abs/2009.03011 (2020) - [i20]Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu:
A Survey of FPGA-Based Robotic Computing. CoRR abs/2009.06034 (2020) - [i19]Jinliang Xie, Jie Tang, Shaoshan Liu:
An Energy-Efficient High Definition Map Data Distribution Mechanism for Autonomous Driving. CoRR abs/2010.05233 (2020) - [i18]Bo Yu, Jie Tang, Shaoshan Liu:
On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. CoRR abs/2011.06277 (2020) - [i17]Yiming Gan, Yu Bo, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu:
Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines. CoRR abs/2012.01353 (2020)
2010 – 2019
- 2019
- [j20]Shaoshan Liu, Liangkai Liu, Jie Tang, Bo Yu, Yifan Wang, Weisong Shi:
Edge Computing for Autonomous Driving: Opportunities and Challenges. Proc. IEEE 107(8): 1697-1716 (2019) - [c30]Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu:
π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. FCCM 2019: 100-108 - [c29]Bo Wang, Jie Tang, Rui Zhang, Wei Ding, Shaoshan Liu, Deyu Qi:
Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures. HPCC/SmartCity/DSS 2019: 305-312 - [c28]Hang Zhao, Yu Rao, Donghua Li, Jie Tang, Shaoshan Liu:
A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark. NPC 2019: 338-344 - [i16]Jie Tang, Shaoshan Liu, Bo Yu, Weisong Shi:
PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. CoRR abs/1901.04978 (2019) - [i15]Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu:
PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. CoRR abs/1905.02373 (2019) - [i14]Thomas Yuang Li, Shaoshan Liu:
Enabling Commercial Autonomous Space Robotic Explorers. CoRR abs/1908.04149 (2019) - 2018
- [c27]Jie Tang, Shaoshan Liu, Songwen Pei, Stéphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot:
Teaching Autonomous Driving Using a Modular and Integrated Approach. COMPSAC (1) 2018: 361-366 - [c26]Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi:
CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles. SEC 2018: 30-42 - [c25]Zhe Zhang, Shaoshan Liu, Grace Tsai, Hongbing Hu, Chen-Chi Chu, Feng Zheng:
PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. ICRA 2018: 1-7 - [c24]Feng Zheng, Grace Tsai, Zhe Zhang, Shaoshan Liu, Chen-Chi Chu, Hongbing Hu:
Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry Using Points and Lines. IROS 2018: 3686-3693 - [c23]Jie Tang, Bo Yu, Shaoshan Liu, Zhe Zhang, Weikang Fang, Yanjun Zhang:
π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. IROS 2018: 8302-8307 - [c22]Samer Akiki, Zhiliu Yang, Chen Liu, Jie Tang, Shaoshan Liu:
Energy-Aware Automatic Tuning of Many-Core Platform via Gradient Descent. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1199-1203 - [i13]Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie:
PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. CoRR abs/1802.08359 (2018) - [i12]Jie Tang, Shaoshan Liu, Songwen Pei, Stéphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot:
Teaching Autonomous Driving Using a Modular and Integrated Approach. CoRR abs/1802.09355 (2018) - [i11]Feng Zheng, Grace Tsai, Zhe Zhang, Shaoshan Liu, Chen-Chi Chu, Hongbing Hu:
PI-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines. CoRR abs/1803.02403 (2018) - [i10]Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi:
CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles. CoRR abs/1810.06659 (2018) - 2017
- [b1]Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot:
Creating Autonomous Vehicle Systems. Synthesis Lectures on Computer Science, Morgan & Claypool Publishers 2017, ISBN 978-3-031-01802-2 - [j19]Shaoshan Liu, James Peng, Jean-Luc Gaudiot:
Computer, Drive My Car! Computer 50(1): 8 (2017) - [j18]Shaoshan Liu, Jie Tang, Zhe Zhang, Jean-Luc Gaudiot:
Computer Architectures for Autonomous Driving. Computer 50(8): 18-25 (2017) - [j17]Jie Tang, Dawei Sun, Shaoshan Liu, Jean-Luc Gaudiot:
Enabling Deep Learning on IoT Devices. Computer 50(10): 92-96 (2017) - [j16]Shaoshan Liu, Jie Tang, Chao Wang, Quan Wang, Jean-Luc Gaudiot:
A Unified Cloud Platform for Autonomous Driving. Computer 50(12): 42-49 (2017) - [c21]Weikang Fang, Yanjun Zhang, Bo Yu, Shaoshan Liu:
FPGA-based ORB feature extraction for real-time visual SLAM. FPT 2017: 275-278 - [c20]Jie Tang, Shaoshan Liu, Chao Wang, Chen Liu:
Distributed Simulation Platform for Autonomous Driving. IOV 2017: 190-200 - [c19]Jie Tang, Shaoshan Liu, Chen Liu, Christine Eisenbeis, Jean-Luc Gaudiot:
Accelerating Lattice Quantum Chromodynamics Simulations with Value Prediction. SC² 2017: 209-216 - [i9]Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot:
Embedded Systems Architecture for SLAM Applications. CoRR abs/1702.01295 (2017) - [i8]Shaoshan Liu, Jie Tang, Zhe Zhang, Jean-Luc Gaudiot:
CAAD: Computer Architecture for Autonomous Driving. CoRR abs/1702.01894 (2017) - [i7]Shaoshan Liu, Jie Tang, Chao Wang, Quan Wang, Jean-Luc Gaudiot:
Implementing a Cloud Platform for Autonomous Driving. CoRR abs/1704.02696 (2017) - [i6]Dawei Sun, Shaoshan Liu, Jean-Luc Gaudiot:
Enabling Embedded Inference Engine with ARM Compute Library: A Case Study. CoRR abs/1704.03751 (2017) - [i5]Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot:
Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. CoRR abs/1704.04712 (2017) - [i4]Jie Tang, Yong Ren, Shaoshan Liu:
Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1. CoRR abs/1705.10945 (2017) - [i3]Jie Tang, Shaoshan Liu, Chao Wang, Quan Wang:
Distributed Simulation Platform for Autonomous Driving. CoRR abs/1705.10948 (2017) - [i2]Zhe Zhang, Shaoshan Liu, Grace Tsai, Hongbing Hu, Chen-Chi Chu, Feng Zheng:
PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. CoRR abs/1710.00893 (2017) - [i1]Weikang Fang, Yanjun Zhang, Bo Yu, Shaoshan Liu:
FPGA-based ORB Feature Extraction for Real-Time Visual SLAM. CoRR abs/1710.07312 (2017) - 2014
- [j15]Yu-Liang Chou, Shaoshan Liu, Eui-Young Chung, Jean-Luc Gaudiot:
An Energy and Performance Efficient DVFS Scheme for Irregular Parallel Divide-and-Conquer Algorithms on the Intel SCC. IEEE Comput. Archit. Lett. 13(1): 13-16 (2014) - 2013
- [j14]Jie Tang, Pollawat Thanarungroj, Chen Liu, Shaoshan Liu, Zhimin Gu, Jean-Luc Gaudiot:
Pinned OS/Services: A Case Study of XML Parsing on Intel SCC. J. Comput. Sci. Technol. 28(1): 3-13 (2013) - [j13]Jie Tang, Chen Liu, Shaoshan Liu, Jean-Luc Gaudiot:
Practical models for energy-efficient prefetching in mobile embedded systems. Microprocess. Microsystems 37(8-D): 1173-1182 (2013) - [j12]Jie Tang, Shaoshan Liu, Chen Liu, Zhimin Gu, Jean-Luc Gaudiot:
Acceleration of XML Parsing through Prefetching. IEEE Trans. Computers 62(8): 1616-1628 (2013) - [j11]Shaoshan Liu, Richard Neil Pittman, Alessandro Forin, Jean-Luc Gaudiot:
Achieving energy efficiency through runtime partial reconfiguration on reconfigurable systems. ACM Trans. Embed. Comput. Syst. 12(3): 72:1-72:21 (2013) - [c18]Jie Tang, Chen Liu, Yu-Liang Chou, Shaoshan Liu:
OCP: Offload Co-Processor for energy efficiency in embedded mobile systems. ASAP 2013: 107-110 - 2012
- [j10]Shaoshan Liu, Won Woo Ro, Chen Liu, Alfredo Cristóbal-Salas, Christophe Cérin, Jian-Jun Han, Jean-Luc Gaudiot:
Introducing the Extremely Heterogeneous Architecture. J. Interconnect. Networks 13(3-4) (2012) - [j9]Shaoshan Liu, Jie Tang, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot:
Packer: Parallel Garbage Collection Based on Virtual Spaces. IEEE Trans. Computers 61(11): 1611-1623 (2012) - [j8]Jie Tang, Shaoshan Liu, Zhimin Gu, Xiao-Feng Li, Jean-Luc Gaudiot:
Achieving middleware execution efficiency: hardware-assisted garbage collection operations. J. Supercomput. 59(3): 1101-1119 (2012) - [j7]Shaoshan Liu, Richard Neil Pittman, Alessandro Forin, Jean-Luc Gaudiot:
Minimizing the runtime partial reconfiguration overheads in reconfigurable systems. J. Supercomput. 61(3): 894-911 (2012) - [c17]Gustavo A. Chaparro-Baquero, Qi Zhou, Chen Liu, Jie Tang, Shaoshan Liu:
Power-Efficient Schemes via Workload Characterization on the Intel's Single-Chip Cloud Computer. IPDPS Workshops 2012: 999-1006 - 2011
- [j6]Jie Tang, Shaoshan Liu, Zhimin Gu, Chen Liu, Jean-Luc Gaudiot:
Prefetching in Embedded Mobile Systems Can Be Energy-Efficient. IEEE Comput. Archit. Lett. 10(1): 8-11 (2011) - [j5]Shaoshan Liu, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot:
Space-and-Time Efficient Parallel Garbage Collector for Data-Intensive Applications. Int. J. Parallel Program. 39(4): 451-472 (2011) - [j4]Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot:
Value Prediction and Speculative Execution on GPU. Int. J. Parallel Program. 39(5): 533-552 (2011) - [j3]Jed Kao-Tung Chang, Chen Liu, Shaoshan Liu, Jean-Luc Gaudiot:
Workload characterization of cryptography algorithms for hardware acceleration (abstracts only). SIGMETRICS Perform. Evaluation Rev. 39(3): 20 (2011) - [j2]Shaoshan Liu, Jie Tang, Chengrui Deng, Xiao-Feng Li, Jean-Luc Gaudiot:
RHE: A JVM Courseware. IEEE Trans. Educ. 54(1): 141-148 (2011) - [c16]Jie Tang, Shaoshan Liu, Zhimin Gu, Chen Liu, Jean-Luc Gaudiot:
Memory-Side Acceleration for XML Parsing. NPC 2011: 277-292 - [c15]Jed Kao-Tung Chang, Chen Liu, Shaoshan Liu, Jean-Luc Gaudiot:
Workload Characterization of Cryptography Algorithms for Hardware Acceleration. ICPE 2011: 381-390 - 2010
- [c14]Shaoshan Liu, Richard Neil Pittman, Alessandro Form, Jean-Luc Gaudiot:
On energy efficiency of reconfigurable systems with run-time partial reconfiguration. ASAP 2010: 265-272 - [c13]Jie Tang, Shaoshan Liu, Zhimin Gu, Xiao-Feng Li, Jean-Luc Gaudiot:
Hardware-assisted middleware: Acceleration of garbage collection operations. ASAP 2010: 281-284 - [c12]Shaoshan Liu, Richard Neil Pittman, Alessandro Forin:
Energy reduction with run-time partial reconfiguration (abstract only). FPGA 2010: 292 - [c11]Shaoshan Liu, Richard Neil Pittman, Alessandro Forin:
Minimizing partial reconfiguration overhead with fully streaming DMA engines and intelligent ICAP controller (abstract only). FPGA 2010: 292 - [c10]Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot:
A Theoretical Framework for Value Prediction in Parallel Systems. ICPP 2010: 11-20 - [c9]Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot:
Speculative Execution on GPU: An Exploratory Study. ICPP 2010: 453-461 - [c8]Jed Kao-Tung Chang, Shaoshan Liu, Jean-Luc Gaudiot, Chen Liu:
Hardware-assisted security mechanism: The acceleration of cryptographic operations with low hardware cost. IPCCC 2010: 327-328 - [c7]Jed Kao-Tung Chang, Shaoshan Liu, Jean-Luc Gaudiot, Chen Liu:
The Performance Analysis and Hardware Acceleration of Crypto-computations for Enhanced Security. PRDC 2010: 249-250
2000 – 2009
- 2009
- [j1]Shaoshan Liu, Jean-Luc Gaudiot:
Potential Impact of Value Prediction on Communication in Many-Core Architectures. IEEE Trans. Computers 58(6): 759-769 (2009) - [c6]Shaoshan Liu, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot:
Space-and-time efficient garbage collectors for parallel systems. Conf. Computing Frontiers 2009: 21-30 - [c5]Shaoshan Liu, Chengrui Deng, Xiao-Feng Li, Jean-Luc Gaudiot:
RHE: A Lightweight JVM Instructional Tool. COMPSAC (1) 2009: 612-619 - [c4]Shaoshan Liu, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot:
Packer: An innovative space-time-efficient parallel garbage collection algorithm based on virtual spaces. IPDPS 2009: 1-11 - 2008
- [c3]Shaoshan Liu, Jean-Luc Gaudiot:
The potential of fine-grained value prediction in enhancing the performance of modern parallel machines. ACSAC 2008: 1-8 - 2007
- [c2]Shaoshan Liu, Jean-Luc Gaudiot:
Synchronization Mechanisms on Modern Multi-core Architectures. Asia-Pacific Computer Systems Architecture Conference 2007: 290-303 - 2006
- [c1]Shaoshan Liu, Jean-Luc Gaudiot, Vittorio Cristini:
Prototyping Virtual Cancer Therapist (VCT): A Software Engineering Approach. EMBC 2006: 5424-5427
Coauthor Index
[j36] [j34] [c50] [i39] [j30] [j29] [c42] [i34] [i29] [i27] [b2] [j24] [j23] [j22] [i24] [c27] [i12] [b1] [j19] [j18] [j17] [j16] [c19] [i9] [i8] [i7] [i6] [i5] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c16] [c15] [c14] [c13] [c10] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
[j42] [j37] [c54] [j34] [j33] [j32] [c47] [i40] [i36] [j30] [j28] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [i33] [i32] [b2] [j25] [j24] [j23] [j22] [j21] [c33] [c31] [i24] [i20] [i19] [i18] [i17] [j20] [c29] [c28] [i16] [c27] [c23] [c22] [i13] [i12] [b1] [j18] [j17] [j16] [c20] [c19] [i9] [i8] [i7] [i5] [i4] [i3] [j14] [j13] [j12] [c18] [j9] [j8] [c17] [j6] [j2] [c16] [c13]
[j45] [c57] [c56] [i51] [i50] [j37] [c55] [c54] [i47] [i45] [j34] [j32] [c52] [c51] [c49] [c48] [c47] [i43] [i41] [i40] [i38] [i37] [i35] [b3] [j30] [c45] [c44] [c43] [c41] [c40] [c39] [c37] [i33] [i32] [i31] [i30] [i27] [j25] [j21] [c33] [c31] [i20] [i18] [j20] [c30] [i16] [i15] [c23] [i13] [c21] [i1]
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