| Reducing dynamic power in streaming CNN hardware accelerators by exploiting computational redundancies D Piyasena, R Wickramasinghe, D Paul, SK Lam, M Wu 2019 29th International Conference on Field Programmable Logic and …, 2019 | 12 | 2019 |
| Dynamically growing neural network architecture for lifelong deep learning on the edge D Piyasena, M Thathsara, S Kanagarajah, SK Lam, M Wu 2020 30th International Conference on Field-Programmable Logic and …, 2020 | 11 | 2020 |
| IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge H Bae, E Brophy, RHM Chan, B Chen, F Feng, G Graffieti, V Goel, X Hao, ... IEEE Robotics & Automation Magazine 27 (2), 11-16, 2020 | 10 | 2020 |
| A novel low-complexity VLSI architecture for an EEG feature extraction platform D Serasinghe, D Piyasena, A Pasqual 2018 21st Euromicro Conference on Digital System Design (DSD), 472-478, 2018 | 6 | 2018 |
| Accelerating continual learning on edge FPGA D Piyasena, SK Lam, M Wu 2021 31st International Conference on Field-Programmable Logic and …, 2021 | 4 | 2021 |
| Edge accelerator for lifelong deep learning using streaming linear discriminant analysis D Piyasena, SK Lam, M Wu 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021 | 4 | 2021 |
| Lowering dynamic power of a stream-based cnn hardware accelerator D Piyasena, R Wickramasinghe, D Paul, SK Lam, M Wu 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP …, 2019 | 4 | 2019 |
| IROS 2019 Lifelong Robotic Vision Challenge--Lifelong Object Recognition Report Q She, F Feng, Q Liu, RHM Chan, X Hao, C Lan, Q Yang, V Lomonaco, ... arXiv preprint arXiv:2004.14774, 2020 | 2 | 2020 |
| IROS 2019 Lifelong Object Recognition competition: Team NTU LL D Piyasena, S Kanagarajah, SK Lam, M Wu | | |
Siew-Kei LamNanyang Technological UniversityVerified email at ntu.edu.sg
