| A Survey of FPGA-Based Robotic Computing Z Wan, B Yu, TY Li, J Tang, Y Zhu, Y Wang, A Raychowdhury, S Liu IEEE Circuits and Systems Magazine 21 (2), 48-74, 2021 | 47 | 2021 |
| Algorithm-hardware co-design of adaptive floating-point encodings for resilient deep learning inference T Tambe, EY Yang, Z Wan, Y Deng, VJ Reddi, A Rush, D Brooks, GY Wei 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 35 | 2020 |
| QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning S Krishnan, S Chitlangia, M Lam, Z Wan, BM Gabriel, A Faust, VJ Reddi Transactions on Machine Learning Research (TMLR), 2022 | 25* | 2022 |
| The sky is not the limit: A visual performance model for cyber-physical co-design in autonomous machines S Krishnan, Z Wan, K Bhardwaj, P Whatmough, A Faust, GY Wei, ... IEEE Computer Architecture Letters 19 (1), 38-42, 2020 | 25 | 2020 |
| Adaptivfloat: A floating-point based data type for resilient deep learning inference T Tambe, EY Yang, Z Wan, Y Deng, VJ Reddi, A Rush, D Brooks, GY Wei arXiv preprint arXiv:1909.13271, 2019 | 23 | 2019 |
| Robotic computing on fpgas S Liu, Z Wan, B Yu, Y Wang Synthesis Lectures on Computer Architecture 16 (1), 1-218, 2021 | 15 | 2021 |
| iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform T Gao, Z Wan, Y Zhang, B Yu, Y Zhang, S Liu, A Raychowdhury 2021 IEEE International Conference on Artificial Intelligence Circuits and …, 2021 | 14 | 2021 |
| Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles S Krishnan, Z Wan, K Bhardwaj, P Whatmough, A Faust, S Neuman, ... 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 300-317, 2022 | 11* | 2022 |
| Mavfi: An end-to-end fault analysis framework with anomaly detection and recovery for micro aerial vehicles YS Hsiao, Z Wan, T Jia, R Ghosal, A Raychowdhury, D Brooks, GY Wei, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023 | 9 | 2023 |
| Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems Z Wan, A Anwar, YS Hsiao, T Jia, VJ Reddi, A Raychowdhury 2021 58th ACM/IEEE Design Automation Conference (DAC), 841-846, 2021 | 9 | 2021 |
| An energy-efficient quad-camera visual system for autonomous machines on fpga platform Z Wan, Y Zhang, A Raychowdhury, B Yu, Y Zhang, S Liu 2021 IEEE International Conference on Artificial Intelligence Circuits and …, 2021 | 9 | 2021 |
| Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles S Krishnan, Z Wan, K Bhardwaj, N Jadhav, A Faust, VJ Reddi 2022 IEEE International Symposium on Performance Analysis of Systems and …, 2022 | 8* | 2022 |
| Electrically tunable temporal imaging in a graphene-based waveguide P Xie, Y Wen, Z Wan, X Wang, J Liu, W Yang, X Li, Y Wang Japanese Journal of Applied Physics 58 (5), 050914, 2019 | 7 | 2019 |
| Autosoc: Automating algorithm-soc co-design for aerial robots S Krishnan, T Tambe, Z Wan, VJ Reddi arXiv preprint arXiv:2109.05683, 2021 | 5 | 2021 |
| An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems Q Liu, Z Wan, B Yu, W Liu, S Liu, A Raychowdhury 2022 IEEE Custom Integrated Circuits Conference (CICC), 01-02, 2022 | 4 | 2022 |
| Frl-fi: Transient fault analysis for federated reinforcement learning-based navigation systems Z Wan, A Anwar, A Mahmoud, T Jia, YS Hsiao, VJ Reddi, ... 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 430-435, 2022 | 3 | 2022 |
| Circuit and system technologies for energy-efficient edge robotics Z Wan, AS Lele, A Raychowdhury 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 275-280, 2022 | 3 | 2022 |
| Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities Z Wan, A Lele, B Yu, S Liu, Y Wang, VJ Reddi, C Hao, A Raychowdhury 2022 IEEE International Conference on Artificial Intelligence Circuits and …, 2022 | 2 | 2022 |
| Study of posit numeric in speech recognition neural inference Z Wan, E Mibuari, EY Yang, T Tambe Harvard Univ., Cambridge, MA, USA, Tech. Rep. CS247r, 2018 | 2 | 2018 |
| Improving compute in-memory ECC reliability with successive correction B Crafton, Z Wan, S Spetalnick, JH Yoon, W Wu, C Tokunaga, V De, ... Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC), 745-750, 2022 | 1 | 2022 |
Vijay Janapa ReddiHarvard UniversityVerified email at eecs.harvard.edu
