| 2026 | COMPSAC | IEEE Computer Society in the Age of AI: A Strategic Position Paper for the Next Decade. | Jean-Luc Gaudiot, Shaoshan Liu |
| 2025 | ISCA | Dadu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation. | Yiyang Huang, Yuhui Hao, Bo Yu, Feng Yan, Yuxin Yang, Feng Min, Yinhe Han, Lin Ma, Shaoshan Liu, Qiang Liu, Yiming Gan |
| 2024 | ASPLOS | ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. | Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu |
| 2024 | FPGA | Accelerating Autonomous Path Planning on FPGAs with Sparsity-Aware HW/SW Co-Optimizations. | Xiaoyu Niu, Yanjun Zhang, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang |
| 2024 | ICCAD | Dataflow Accelerator Architecture for Autonomous Machine Computing. | Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guangrong Gao |
| 2024 | ICCAD | A Sparsity-Aware Autonomous Path Planning Accelerator with Algorithm-Architecture Co-Design. | Yanjun Zhang, Xiaoyu Niu, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang |
| 2023 | DAC | BLITZCRANK: Factor Graph Accelerator for Motion Planning. | Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu |
| 2023 | DAC | Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. | Bo Yu, Jie Tang, Shaoshan Liu |
| 2023 | DATE | Analysis and Optimization of Worst-Case Time Disparity in Cause-Effect Chains. | Xu Jiang, Xiantong Luo, Nan Guan, Zheng Dong, Shaoshan Liu, Wang Yi |
| 2023 | Mobiquitous | HAU$\mathbf {M^3}$: A Height Aware Urban Map Matching Mechanism. | Jie Tang, Sunjian Zheng, Bo Yu, Shaoshan Liu |
| 2022 | EMSOFT | Programming Autonomous Machines : Special Session Paper. | Shaoshan Liu, Xiaoming Li, Tongsheng Geng, Stphane Zuckerman, Jean-Luc Gaudiot |
| 2022 | ICCAD | Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper). | Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu |
| 2022 | ISSRE | Braum: Analyzing and Protecting Autonomous Machine Software Stack. | Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu |
| 2022 | RTAS | Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. | Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu |
| 2022 | RTAS | Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. | Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen |
| 2021 | ASPDAC | On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. | Bo Yu, Jie Tang, Shaoshan Liu |
| 2021 | COMPSAC | Streaming Data Priority Scheduling Framework for Autonomous Driving by Edge. | Lingbing Yao, Hang Zhao, Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot |
| 2021 | DAC | Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. | Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu |
| 2021 | HPCA | Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. | Yiming Gan, Bo Yu, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu |
| 2021 | MICRO | Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. | Weizhuang Liu, Bo Yu, Yiming Gan, Qiang Liu, Jie Tang, Shaoshan Liu, Yuhao Zhu |
| 2021 | NPC | A KNN Query Method for Autonomous Driving Sensor Data. | Jie Tang, Jiehui Zhang, Zhixin Zeng, Shaoshan Liu |
| 2021 | RTAS | Brief Industry Paper: An Edge-Based High-Definition Map Crowdsourcing Task Distribution Framework for Autonomous Driving. | Donghua Li, Jie Tang, Shaoshan Liu |
| 2021 | RTAS | Brief Industry Paper: The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. | Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu |
| 2021 | RTAS | Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. | Jinliang Xie, Jie Tang, Yanzhi Wang, Qi Zhu, Shaoshan Liu |
| 2021 | RTAS | Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. | Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2020 | IROS | Real-Time Spatio-Temporal LiDAR Point Cloud Compression. | Yu Feng, Shaoshan Liu, Yuhao Zhu |
| 2020 | IROS | π-Map: A Decision-Based Sensor Fusion with Global Optimization for Indoor Mapping. | Zhiliu Yang, Bo Yu, Wei Hu, Jie Tang, Shaoshan Liu, Chen Liu |
| 2020 | MICRO | Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations. | Bo Yu, Wei Hu, Leimeng Xu, Jie Tang, Shaoshan Liu, Yuhao Zhu |
| 2019 | FCCM | π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. | Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu |
| 2019 | HPCC | Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures. | Bo Wang, Jie Tang, Rui Zhang, Wei Ding, Shaoshan Liu, Deyu Qi |
| 2019 | NPC | A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark. | Hang Zhao, Yu Rao, Donghua Li, Jie Tang, Shaoshan Liu |
| 2018 | COMPSAC | Teaching Autonomous Driving Using a Modular and Integrated Approach. | Jie Tang, Shaoshan Liu, Songwen Pei, Stphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot |
| 2018 | IROS | π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. | Jie Tang, Bo Yu, Shaoshan Liu, Zhe Zhang, Weikang Fang, Yanjun Zhang |
| 2018 | IROS | Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry Using Points and Lines. | Feng Zheng, Grace Tsai, Zhe Zhang, Shaoshan Liu, Chen-Chi Chu, Hongbing Hu |
| 2018 | ICRA | PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. | Zhe Zhang, Shaoshan Liu, Grace Tsai, Hongbing Hu, Chen-Chi Chu, Feng Zheng |
| 2018 | UIC | Energy-Aware Automatic Tuning of Many-Core Platform via Gradient Descent. | Samer Akiki, Zhiliu Yang, Chen Liu, Jie Tang, Shaoshan Liu |
| 2011 | NPC | Memory-Side Acceleration for XML Parsing. | Jie Tang, Shaoshan Liu, Zhimin Gu, Chen Liu, Jean-Luc Gaudiot |
| 2010 | FPGA | Energy reduction with run-time partial reconfiguration (abstract only). | Shaoshan Liu, Richard Neil Pittman, Alessandro Forin |
| 2010 | FPGA | Minimizing partial reconfiguration overhead with fully streaming DMA engines and intelligent ICAP controller (abstract only). | Shaoshan Liu, Richard Neil Pittman, Alessandro Forin |
| 2010 | ICPP | A Theoretical Framework for Value Prediction in Parallel Systems. | Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot |
| 2010 | ICPP | Speculative Execution on GPU: An Exploratory Study. | Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot |
| 2010 | IPCCC | Hardware-assisted security mechanism: The acceleration of cryptographic operations with low hardware cost. | Jed Kao-Tung Chang, Shaoshan Liu, Jean-Luc Gaudiot, Chen Liu |
| 2010 | PRDC | The Performance Analysis and Hardware Acceleration of Crypto-computations for Enhanced Security. | Jed Kao-Tung Chang, Shaoshan Liu, Jean-Luc Gaudiot, Chen Liu |
| 2009 | COMPSAC | RHE: A Lightweight JVM Instructional Tool. | Shaoshan Liu, Chengrui Deng, Xiao-Feng Li, Jean-Luc Gaudiot |