Shaoshan Liu - RankMe

183 papers A* 8A 20B 4C 6Misc 3Journal 118Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Standards-Aligned Coordination Framework for Edge-Enhanced Collaborative Healthcare in 6G Networks. CoRR Liuwang Kang, Fan Wang, Yuzhang Huang, Shang Yan, Jianbin Zheng, Wenbin Lei, Konstantin Yakovlev, Jie Tang, Shaoshan Liu
2026	J	`jnl`	An Evolutionary Path for Embodied Robotics. Commun. ACM Shaoshan Liu
2026	J	`jnl`	Corrigendum: Unified and Efficient Factor Graph Accelerator Design for Robotic Optimization. ACM Trans. Archit. Code Optim. Qiang Liu, Yihao Hua, Yuhui Hao, Bo Yu, Shaoshan Liu, Yiming Gan
2026	J	`jnl`	DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation. CoRR Zebin Yang, Yijiahao Qi, Tong Xie, Bo Yu, Shaoshan Liu, Meng Li
2026	J	`jnl`	KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning. CoRR Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li
2026	J	`jnl`	StateLinFormer: Stateful Training Enhancing Long-term Memory in Navigation. CoRR Zhiyuan Chen, Yuxuan Zhong, Fan Wang, Bo Yu, Pengtao Shao, Shaoshan Liu, Ning Ding
2025	J	`jnl`	A Sparsity-Aware Autonomous Path Planning Accelerator with HW/SW Co-Design and Multi-Level Dataflow Optimization. CoRR Yifan Zhang, Xiaoyu Niu, Hongzheng Tian, Yanjun Zhang, Bo Yu, Shaoshan Liu, Sitao Huang
2025	J	`jnl`	A Sparsity-Aware Autonomous Path Planning Accelerator with HW/SW Co-Design and Multi-Level Dataflow Optimization. ACM Trans. Archit. Code Optim. Yifan Zhang, Xiaoyu Niu, Hongzheng Tian, Yanjun Zhang, Bo Yu, Shaoshan Liu, Sitao Huang
2025	J	`jnl`	ADDT - A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems. CoRR Bo Yu, Chaoran Yuan, Zishen Wan, Jie Tang, Fadi J. Kurdahi, Shaoshan Liu
2025	J	`jnl`	Autonomy 2.0: The Quest for Economies of Scale. Commun. ACM Shuang Wu, Bo Yu, Shaoshan Liu, Yuhao Zhu
2025	J	`jnl`	Conceptual Framework Toward Embodied Collective Adaptive Intelligence. CoRR Fan Wang, Shaoshan Liu
2025	J	`jnl`	Context and Diversity Matter: The Emergence of In-Context Learning in World Models. CoRR Fan Wang, Zhiyuan Chen, Yuxuan Zhong, Sunjian Zheng, Pengtao Shao, Bo Yu, Shaoshan Liu, Jianan Wang, Ning Ding, Yang Cao, Yu Kang
2025	A*	`conf`	Dadu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation. ISCA Yiyang Huang, Yuhui Hao, Bo Yu, Feng Yan, Yuxin Yang, Feng Min, Yinhe Han, Lin Ma, Shaoshan Liu, Qiang Liu, Yiming Gan
2025	J	`jnl`	EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval. CoRR Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li
2025	J	`jnl`	Empowering Virtual Agents With Intelligent Systems. Commun. ACM Fan Wang, Shaoshan Liu
2025	J	`jnl`	Human Resilience in the AI Era - What Machines Can't Replace. CoRR Shaoshan Liu, Anina Schwarzenbach, Yiyu Shi
2025	J	`jnl`	In-Context Learning can Perform Continual Learning Like Humans. CoRR Liuwang Kang, Fan Wang, Shaoshan Liu, Hung-Chyun Chou, Chuan Lin, Ning Ding
2025	J	`jnl`	OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds. CoRR Fan Wang, Pengtao Shao, Yiming Zhang, Bo Yu, Shaoshan Liu, Ning Ding, Yang Cao, Yu Kang, Haifeng Wang
2025	J	`jnl`	Putting the Smarts into Robot Bodies. Commun. ACM Wang Fan, Shaoshan Liu
2025	J	`jnl`	Training Cross-Morphology Embodied AI Agents: From Practical Challenges to Theoretical Foundations. CoRR Shaoshan Liu, Fan Wang, Hongjun Zhou, Yuanfeng Wang
2024	A	`conf`	A Sparsity-Aware Autonomous Path Planning Accelerator with Algorithm-Architecture Co-Design. ICCAD Yanjun Zhang, Xiaoyu Niu, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang
2024	J	`jnl`	AICOM-MP: an AI-based monkeypox detector for resource-constrained environments. Connect. Sci. Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Na An, Shaoshan Liu, Xue Liu
2024	A	`conf`	Accelerating Autonomous Path Planning on FPGAs with Sparsity-Aware HW/SW Co-Optimizations. FPGA Xiaoyu Niu, Yanjun Zhang, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang
2024	J	`jnl`	Corki: Enabling Real-time Embodied AI Robots via Algorithm-Architecture Co-Design. CoRR Yiyang Huang, Yuhui Hao, Bo Yu, Feng Yan, Yuxin Yang, Feng Min, Yinhe Han, Lin Ma, Shaoshan Liu, Qiang Liu, Yiming Gan
2024	J	`jnl`	DaDu-E: Rethinking the Role of Large Language Model in Robotic Computing Pipeline. CoRR Wenhao Sun, Sai Hou, Zixuan Wang, Bo Yu, Shaoshan Liu, Xu Yang, Shuai Liang, Yiming Gan, Yinhe Han
2024	A	`conf`	Dataflow Accelerator Architecture for Autonomous Machine Computing. ICCAD Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guangrong Gao
2024	J	`jnl`	ICE-SEARCH: A Language Model-Driven Feature Selection Approach. CoRR Tom Tianze Yang, Tim Tianyi Yang, Shaoshan Liu, Fuyuan Lyu, Xue Liu
2024	—	`conf`	ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. ASPLOS (2) Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu
2024	J	`jnl`	Shaping the Outlook for the Autonomy Economy. Commun. ACM Shaoshan Liu
2024	J	`jnl`	The Vulnerability-Adaptive Protection Paradigm. Commun. ACM Zishen Wan, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu
2024	J	`jnl`	VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines. CoRR Zishen Wan, Yiming Gan, Bo Yu, Shaoshan Liu, Arijit Raychowdhury, Yuhao Zhu
2023	J	`jnl`	A Comprehensive Review and Systematic Analysis of Artificial Intelligence Regulation Policies. CoRR Weiyue Wu, Shaoshan Liu
2023	J	`jnl`	A Distributed Pricing Strategy for Edge Computation Offloading Optimization in Autonomous Driving. IEEE Netw. Jie Tang, Weilin Zhu, Xiaoming Li, Shaoshan Liu, Xue Liu
2023	J	`jnl`	AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach. CoRR Tim Tianyi Yang, Tom Tianze Yang, Na An, Ao Kong, Shaoshan Liu, Xue (Steve) Liu
2023	J	`jnl`	Acheiving United Nations' SDG3 Through Empowering Health Artificial Intelligence on Resource-Constrained Mobile Devices Without Connectivity. SIGCAS Comput. Soc. Tim Tianyi Yang, Tom Tianze Yang, Shaoshan Liu, Xue Liu
2023	J	`jnl`	An Energy Efficient and Runtime Reconfigurable Accelerator for Robotic Localization. IEEE Trans. Computers Qiang Liu, Yuhui Hao, Weizhuang Liu, Bo Yu, Yiming Gan, Jie Tang, Shaoshan Liu, Yuhao Zhu
2023	A	`conf`	Analysis and Optimization of Worst-Case Time Disparity in Cause-Effect Chains. DATE Xu Jiang, Xiantong Luo, Nan Guan, Zheng Dong, Shaoshan Liu, Wang Yi
2023	J	`jnl`	Autonomy 2.0: The Quest for Economies of Scale. CoRR Shuang Wu, Bo Yu, Shaoshan Liu, Yuhao Zhu
2023	A*	`conf`	BLITZCRANK: Factor Graph Accelerator for Motion Planning. DAC Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu
2023	J	`jnl`	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. Ao Kongiyue Wu, Weiyue Wu, Shaoshan Liu
2023	J	`jnl`	Compliance Costs of AI Technology Commercialization: A Field Deployment Perspective. CoRR Weiyue Wu, Shaoshan Liu
2023	J	`jnl`	Dilemma of the Artificial Intelligence Regulatory Landscape. Commun. ACM Weiyue Wu, Shaoshan Liu
2023	J	`jnl`	FGLQR: Factor Graph Accelerator of LQR Control for Autonomous Machines. CoRR Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu
2023	—	`conf`	HAU$\mathbf {M^3}$: A Height Aware Urban Map Matching Mechanism. MobiQuitous (1) Jie Tang, Sunjian Zheng, Bo Yu, Shaoshan Liu
2023	A*	`conf`	Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. DAC Bo Yu, Jie Tang, Shaoshan Liu
2023	J	`jnl`	Navigating AI Regulation in Africa: Challenges and Considerations. SIGCAS Comput. Soc. Shaoshan Liu
2023	J	`jnl`	The Need for a Global Standard of Artificial Intelligence Regulation. SIGCAS Comput. Soc. Weiyue Wu, Shaoshan Liu
2023	J	`jnl`	Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems. CoRR Wenjing Xie, Tao Hu, Neiwen Ling, Guoliang Xing, Shaoshan Liu, Nan Guan
2022	J	`jnl`	AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments. CoRR Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Jie Tang, Na An, Shaoshan Liu, Xue Liu
2022	—	`conf`	An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CICC Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury
2022	J	`jnl`	An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems. CoRR Qiang Liu, Zishen Wan, Bo Yu, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury
2022	J	`jnl`	Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Access. CoRR Shaoshan Liu, Yuzhang Huang, Leiyu Shi
2022	J	`jnl`	Autonomous Vehicles Digital Twin: A Practical Paradigm for Autonomous Driving System Development. Computer Bo Yu, Chongyu Chen, Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot
2022	A	`conf`	Braum: Analyzing and Protecting Autonomous Machine Software Stack. ISSRE Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu
2022	A	`conf`	Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. RTAS Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen
2022	A	`conf`	Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. RTAS Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu
2022	J	`jnl`	Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. CoRR Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu
2022	J	`jnl`	Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective. IEEE Wirel. Commun. Shaoshan Liu, Bo Yu, Jie Tang, Yuhao Zhu, Xue Liu
2022	A	`conf`	Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper). ICCAD Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu
2022	J	`jnl`	Factor Graph Accelerator for LiDAR-Inertial Odometry. CoRR Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu
2022	J	`jnl`	INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving. CoRR Tianze Wu, Shaoshan Liu, Bo Yu, Sa Wang, Yungang Bao, Weisong Shi
2022	C	`ed.`	Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Jinan, China, September 24-25, 2022, Proceedings NPC Shaoshan Liu, Xiaohui Wei
2022	Misc	`conf`	Programming Autonomous Machines : Special Session Paper. EMSOFT Shaoshan Liu, Xiaoming Li, Tongsheng Geng, Stéphane Zuckerman, Jean-Luc Gaudiot
2022	J	`jnl`	Programming Autonomous Machines. CoRR Shaoshan Liu, Xiaoming Li, Tongsheng Geng, Stéphane Zuckerman, Jean-Luc Gaudiot
2022	J	`jnl`	Rise of the Automotive Health-Domain Controllers: Empowering Healthcare Services in Intelligent Vehicles. IEEE Internet Things J. Shaoshan Liu, Yuzhang Huang, Ao Kong, Jie Tang, Xue Liu
2022	J	`jnl`	Rise of the Autonomous Machines. Computer Shaoshan Liu, Jean-Luc Gaudiot
2022	—	`conf`	Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. AICAS Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
2022	J	`jnl`	Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. CoRR Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
2022	J	`jnl`	Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators. CoRR Abhishek Tyagi, Yiming Gan, Shaoshan Liu, Bo Yu, Paul N. Whatmough, Yuhao Zhu
2022	J	`jnl`	π-Learner: A Lifelong Roadside Learning Framework for Infrastructure Augmented Autonomous Driving. Computer Kunai Zhang, Yahui Liu, Weiqiang Zhang, Shaoshan Liu
2021	J	`jnl`	4C: A Computation, Communication, and Control Co-Design Framework for CAVs. CoRR Liangkai Liu, Shaoshan Liu, Weisong Shi
2021	J	`jnl`	4C: A Computation, Communication, and Control Co-Design Framework for CAVs. IEEE Wirel. Commun. Liangkai Liu, Shaoshan Liu, Weisong Shi
2021	C	`conf`	A KNN Query Method for Autonomous Driving Sensor Data. NPC Jie Tang, Jiehui Zhang, Zhixin Zeng, Shaoshan Liu
2021	J	`jnl`	A Task-Aware Fine-Grained Storage Selection Mechanism for In-Memory Big Data Computing Frameworks. Int. J. Parallel Program. Bo Wang, Jie Tang, Rui Zhang, Jialei Liu, Shaoshan Liu, Deyu Qi
2021	—	`conf`	An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. AICAS Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu
2021	J	`jnl`	An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. CoRR Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu
2021	A*	`conf`	Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. MICRO Weizhuang Liu, Bo Yu, Yiming Gan, Qiang Liu, Jie Tang, Shaoshan Liu, Yuhao Zhu
2021	A	`conf`	Brief Industry Paper: An Edge-Based High-Definition Map Crowdsourcing Task Distribution Framework for Autonomous Driving. RTAS Donghua Li, Jie Tang, Shaoshan Liu
2021	A	`conf`	Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. RTAS Jinliang Xie, Jie Tang, Yanzhi Wang, Qi Zhu, Shaoshan Liu
2021	A	`conf`	Brief Industry Paper: The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. RTAS Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu
2021	A	`conf`	Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
2021	J	`jnl`	CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao
2021	J	`jnl`	Dilemma of the Artificial Intelligence Regulatory Landscape. CoRR Weiyue Wu, Shaoshan Liu
2021	J	`jnl`	Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. CoRR Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen
2021	J	`jnl`	Engineering Education in the Age of Autonomous Machines. Computer Shaoshan Liu, Jean-Luc Gaudiot, Hironori Kasahara
2021	J	`jnl`	Engineering Education in the Age of Autonomous Machines. CoRR Shaoshan Liu, Jean-Luc Gaudiot, Hironori Kasahara
2021	A*	`conf`	Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. HPCA Yiming Gan, Bo Yu, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu
2021	A*	`conf`	Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. DAC Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu
2021	—	`conf`	On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. ASP-DAC Bo Yu, Jie Tang, Shaoshan Liu
2021	J	`jnl`	Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware. IEEE Robotics Autom. Lett. Tianze Wu, Baofu Wu, Sa Wang, Liangkai Liu, Shaoshan Liu, Yungang Bao, Weisong Shi
2021	J	`jnl`	Rise of the Autonomous Machines. CoRR Shaoshan Liu, Jean-Luc Gaudiot
2021	—	`book`	Robotic Computing on FPGAs Shaoshan Liu, Zishen Wan, Bo Yu, Yu Wang
2021	B	`conf`	Streaming Data Priority Scheduling Framework for Autonomous Driving by Edge. COMPSAC Lingbing Yao, Hang Zhao, Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot
2021	J	`jnl`	The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. CoRR Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu
2021	J	`jnl`	The Promise of Dataflow Architectures in the Design of Processing Systems for Autonomous Machines. CoRR Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guang R. Gao
2021	J	`jnl`	Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. CoRR Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu
2021	—	`conf`	iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. AICAS Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury
2021	J	`jnl`	iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform. CoRR Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury
2021	J	`jnl`	Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. Computer Liu Liu, Jie Tang, Shaoshan Liu, Bo Yu, Yuan Xie, Jean-Luc Gaudiot
2020	J	`jnl`	$\pi$π-BA: Bundle Adjustment Hardware Accelerator Based on Distribution of 3D-Point Observations. IEEE Trans. Computers Qiang Liu, Shuzhen Qin, Bo Yu, Jie Tang, Shaoshan Liu
2020	J	`jnl`	A Container Based Edge Offloading Framework for Autonomous Driving. IEEE Access Jie Tang, Yu Rao, Shaoshan Liu, Jean-Luc Gaudiot
2020	J	`jnl`	A Survey of FPGA-Based Robotic Computing. CoRR Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu
2020	J	`jnl`	An Energy-Efficient High Definition Map Data Distribution Mechanism for Autonomous Driving. CoRR Jinliang Xie, Jie Tang, Shaoshan Liu
2020	J	`jnl`	Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments. Computer Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong
2020	J	`jnl`	Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments. CoRR Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong
2020	A*	`conf`	Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations. MICRO Bo Yu, Wei Hu, Leimeng Xu, Jie Tang, Shaoshan Liu, Yuhao Zhu
2020	J	`jnl`	CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. CoRR Shaoshan Liu, Bin Ren, Xipeng Shen, Yanzhi Wang
2020	—	`book`	Creating Autonomous Vehicle Systems, Second Edition Creating Autonomous Vehicle Systems (2nd Ed.) Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot
2020	J	`jnl`	Critical Business Decision Making for Technology Startups - A PerceptIn Case Study. CoRR Shaoshan Liu
2020	J	`jnl`	Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines. CoRR Yiming Gan, Yu Bo, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu
2020	J	`jnl`	LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. IEEE Access Jie Tang, Shaoshan Liu, Liangkai Liu, Bo Yu, Weisong Shi
2020	J	`jnl`	On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. CoRR Bo Yu, Jie Tang, Shaoshan Liu
2020	A	`conf`	Real-Time Spatio-Temporal LiDAR Point Cloud Compression. IROS Yu Feng, Shaoshan Liu, Yuhao Zhu
2020	J	`jnl`	Real-Time Spatio-Temporal LiDAR Point Cloud Compression. CoRR Yu Feng, Shaoshan Liu, Yuhao Zhu
2020	J	`jnl`	π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms. Future Gener. Comput. Syst. Jie Tang, Shaoshan Liu, Jie Cao, Dawei Sun, Bolin Ding, Jean-Luc Gaudiot, Weisong Shi
2020	A	`conf`	π-Map: A Decision-Based Sensor Fusion with Global Optimization for Indoor Mapping. IROS Zhiliu Yang, Bo Yu, Wei Hu, Jie Tang, Shaoshan Liu, Chen Liu
2019	C	`conf`	A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark. NPC Hang Zhao, Yu Rao, Donghua Li, Jie Tang, Shaoshan Liu
2019	J	`jnl`	Edge Computing for Autonomous Driving: Opportunities and Challenges. Proc. IEEE Shaoshan Liu, Liangkai Liu, Jie Tang, Bo Yu, Yifan Wang, Weisong Shi
2019	J	`jnl`	Enabling Commercial Autonomous Space Robotic Explorers. CoRR Thomas Yuang Li, Shaoshan Liu
2019	—	`conf`	Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures. HPCC/SmartCity/DSS Bo Wang, Jie Tang, Rui Zhang, Wei Ding, Shaoshan Liu, Deyu Qi
2019	J	`jnl`	PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. CoRR Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu
2019	J	`jnl`	PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. CoRR Jie Tang, Shaoshan Liu, Bo Yu, Weisong Shi
2019	Misc	`conf`	π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. FCCM Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu
2018	Misc	`conf`	CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles. SEC Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi
2018	J	`jnl`	CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles. CoRR Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi
2018	—	`conf`	Energy-Aware Automatic Tuning of Many-Core Platform via Gradient Descent. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Samer Akiki, Zhiliu Yang, Chen Liu, Jie Tang, Shaoshan Liu
2018	J	`jnl`	PI-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines. CoRR Feng Zheng, Grace Tsai, Zhe Zhang, Shaoshan Liu, Chen-Chi Chu, Hongbing Hu
2018	J	`jnl`	PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. CoRR Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie
2018	A*	`conf`	PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. ICRA Zhe Zhang, Shaoshan Liu, Grace Tsai, Hongbing Hu, Chen-Chi Chu, Feng Zheng
2018	—	`conf`	Teaching Autonomous Driving Using a Modular and Integrated Approach. COMPSAC (1) Jie Tang, Shaoshan Liu, Songwen Pei, Stéphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot
2018	J	`jnl`	Teaching Autonomous Driving Using a Modular and Integrated Approach. CoRR Jie Tang, Shaoshan Liu, Songwen Pei, Stéphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot
2018	A	`conf`	Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry Using Points and Lines. IROS Feng Zheng, Grace Tsai, Zhe Zhang, Shaoshan Liu, Chen-Chi Chu, Hongbing Hu
2018	A	`conf`	π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. IROS Jie Tang, Bo Yu, Shaoshan Liu, Zhe Zhang, Weikang Fang, Yanjun Zhang
2017	J	`jnl`	A Unified Cloud Platform for Autonomous Driving. Computer Shaoshan Liu, Jie Tang, Chao Wang, Quan Wang, Jean-Luc Gaudiot
2017	—	`conf`	Accelerating Lattice Quantum Chromodynamics Simulations with Value Prediction. SC² Jie Tang, Shaoshan Liu, Chen Liu, Christine Eisenbeis, Jean-Luc Gaudiot
2017	J	`jnl`	CAAD: Computer Architecture for Autonomous Driving. CoRR Shaoshan Liu, Jie Tang, Zhe Zhang, Jean-Luc Gaudiot
2017	J	`jnl`	Computer Architectures for Autonomous Driving. Computer Shaoshan Liu, Jie Tang, Zhe Zhang, Jean-Luc Gaudiot
2017	J	`jnl`	Computer, Drive My Car! Computer Shaoshan Liu, James Peng, Jean-Luc Gaudiot
2017	—	`book`	Creating Autonomous Vehicle Systems Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot
2017	—	`conf`	Distributed Simulation Platform for Autonomous Driving. IOV Jie Tang, Shaoshan Liu, Chao Wang, Chen Liu
2017	J	`jnl`	Distributed Simulation Platform for Autonomous Driving. CoRR Jie Tang, Shaoshan Liu, Chao Wang, Quan Wang
2017	J	`jnl`	Embedded Systems Architecture for SLAM Applications. CoRR Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot
2017	J	`jnl`	Enabling Deep Learning on IoT Devices. Computer Jie Tang, Dawei Sun, Shaoshan Liu, Jean-Luc Gaudiot
2017	J	`jnl`	Enabling Embedded Inference Engine with ARM Compute Library: A Case Study. CoRR Dawei Sun, Shaoshan Liu, Jean-Luc Gaudiot
2017	J	`jnl`	FPGA-based ORB Feature Extraction for Real-Time Visual SLAM. CoRR Weikang Fang, Yanjun Zhang, Bo Yu, Shaoshan Liu
2017	—	`conf`	FPGA-based ORB feature extraction for real-time visual SLAM. FPT Weikang Fang, Yanjun Zhang, Bo Yu, Shaoshan Liu
2017	J	`jnl`	Implementing a Cloud Platform for Autonomous Driving. CoRR Shaoshan Liu, Jie Tang, Chao Wang, Quan Wang, Jean-Luc Gaudiot
2017	J	`jnl`	Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. CoRR Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot
2017	J	`jnl`	PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. CoRR Zhe Zhang, Shaoshan Liu, Grace Tsai, Hongbing Hu, Chen-Chi Chu, Feng Zheng
2017	J	`jnl`	Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1. CoRR Jie Tang, Yong Ren, Shaoshan Liu
2014	J	`jnl`	An Energy and Performance Efficient DVFS Scheme for Irregular Parallel Divide-and-Conquer Algorithms on the Intel SCC. IEEE Comput. Archit. Lett. Yu-Liang Chou, Shaoshan Liu, Eui-Young Chung, Jean-Luc Gaudiot
2013	J	`jnl`	Acceleration of XML Parsing through Prefetching. IEEE Trans. Computers Jie Tang, Shaoshan Liu, Chen Liu, Zhimin Gu, Jean-Luc Gaudiot
2013	J	`jnl`	Achieving energy efficiency through runtime partial reconfiguration on reconfigurable systems. ACM Trans. Embed. Comput. Syst. Shaoshan Liu, Richard Neil Pittman, Alessandro Forin, Jean-Luc Gaudiot
2013	—	`conf`	OCP: Offload Co-Processor for energy efficiency in embedded mobile systems. ASAP Jie Tang, Chen Liu, Yu-Liang Chou, Shaoshan Liu
2013	J	`jnl`	Pinned OS/Services: A Case Study of XML Parsing on Intel SCC. J. Comput. Sci. Technol. Jie Tang, Pollawat Thanarungroj, Chen Liu, Shaoshan Liu, Zhimin Gu, Jean-Luc Gaudiot
2013	J	`jnl`	Practical models for energy-efficient prefetching in mobile embedded systems. Microprocess. Microsystems Jie Tang, Chen Liu, Shaoshan Liu, Jean-Luc Gaudiot
2012	J	`jnl`	Achieving middleware execution efficiency: hardware-assisted garbage collection operations. J. Supercomput. Jie Tang, Shaoshan Liu, Zhimin Gu, Xiao-Feng Li, Jean-Luc Gaudiot
2012	J	`jnl`	Introducing the Extremely Heterogeneous Architecture. J. Interconnect. Networks Shaoshan Liu, Won Woo Ro, Chen Liu, Alfredo Cristóbal-Salas, Christophe Cérin, Jian-Jun Han, Jean-Luc Gaudiot
2012	J	`jnl`	Minimizing the runtime partial reconfiguration overheads in reconfigurable systems. J. Supercomput. Shaoshan Liu, Richard Neil Pittman, Alessandro Forin, Jean-Luc Gaudiot
2012	J	`jnl`	Packer: Parallel Garbage Collection Based on Virtual Spaces. IEEE Trans. Computers Shaoshan Liu, Jie Tang, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot
2012	—	`conf`	Power-Efficient Schemes via Workload Characterization on the Intel's Single-Chip Cloud Computer. IPDPS Workshops Gustavo A. Chaparro-Baquero, Qi Zhou, Chen Liu, Jie Tang, Shaoshan Liu
2011	C	`conf`	Memory-Side Acceleration for XML Parsing. NPC Jie Tang, Shaoshan Liu, Zhimin Gu, Chen Liu, Jean-Luc Gaudiot
2011	J	`jnl`	Prefetching in Embedded Mobile Systems Can Be Energy-Efficient. IEEE Comput. Archit. Lett. Jie Tang, Shaoshan Liu, Zhimin Gu, Chen Liu, Jean-Luc Gaudiot
2011	J	`jnl`	RHE: A JVM Courseware. IEEE Trans. Educ. Shaoshan Liu, Jie Tang, Chengrui Deng, Xiao-Feng Li, Jean-Luc Gaudiot
2011	J	`jnl`	Space-and-Time Efficient Parallel Garbage Collector for Data-Intensive Applications. Int. J. Parallel Program. Shaoshan Liu, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot
2011	J	`jnl`	Value Prediction and Speculative Execution on GPU. Int. J. Parallel Program. Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot
2011	B	`conf`	Workload Characterization of Cryptography Algorithms for Hardware Acceleration. ICPE Jed Kao-Tung Chang, Chen Liu, Shaoshan Liu, Jean-Luc Gaudiot
2011	J	`jnl`	Workload characterization of cryptography algorithms for hardware acceleration (abstracts only). SIGMETRICS Perform. Evaluation Rev. Jed Kao-Tung Chang, Chen Liu, Shaoshan Liu, Jean-Luc Gaudiot
2010	B	`conf`	A Theoretical Framework for Value Prediction in Parallel Systems. ICPP Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot
2010	A	`conf`	Energy reduction with run-time partial reconfiguration (abstract only). FPGA Shaoshan Liu, Richard Neil Pittman, Alessandro Forin
2010	—	`conf`	Hardware-assisted middleware: Acceleration of garbage collection operations. ASAP Jie Tang, Shaoshan Liu, Zhimin Gu, Xiao-Feng Li, Jean-Luc Gaudiot
2010	C	`conf`	Hardware-assisted security mechanism: The acceleration of cryptographic operations with low hardware cost. IPCCC Jed Kao-Tung Chang, Shaoshan Liu, Jean-Luc Gaudiot, Chen Liu
2010	A	`conf`	Minimizing partial reconfiguration overhead with fully streaming DMA engines and intelligent ICAP controller (abstract only). FPGA Shaoshan Liu, Richard Neil Pittman, Alessandro Forin
2010	—	`conf`	On energy efficiency of reconfigurable systems with run-time partial reconfiguration. ASAP Shaoshan Liu, Richard Neil Pittman, Alessandro Form, Jean-Luc Gaudiot
2010	B	`conf`	Speculative Execution on GPU: An Exploratory Study. ICPP Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot
2010	C	`conf`	The Performance Analysis and Hardware Acceleration of Crypto-computations for Enhanced Security. PRDC Jed Kao-Tung Chang, Shaoshan Liu, Jean-Luc Gaudiot, Chen Liu
2009	A	`conf`	Packer: An innovative space-time-efficient parallel garbage collection algorithm based on virtual spaces. IPDPS Shaoshan Liu, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot
2009	J	`jnl`	Potential Impact of Value Prediction on Communication in Many-Core Architectures. IEEE Trans. Computers Shaoshan Liu, Jean-Luc Gaudiot
2009	—	`conf`	RHE: A Lightweight JVM Instructional Tool. COMPSAC (1) Shaoshan Liu, Chengrui Deng, Xiao-Feng Li, Jean-Luc Gaudiot
2009	—	`conf`	Space-and-time efficient garbage collectors for parallel systems. Conf. Computing Frontiers Shaoshan Liu, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot
2008	A	`conf`	The potential of fine-grained value prediction in enhancing the performance of modern parallel machines. ACSAC Shaoshan Liu, Jean-Luc Gaudiot
2007	—	`conf`	Synchronization Mechanisms on Modern Multi-core Architectures. Asia-Pacific Computer Systems Architecture Conference Shaoshan Liu, Jean-Luc Gaudiot
2006	—	`conf`	Prototyping Virtual Cancer Therapist (VCT): A Software Engineering Approach. EMBC Shaoshan Liu, Jean-Luc Gaudiot, Vittorio Cristini