| Large-scale aggregation of prosumers toward strategic bidding in joint energy and regulation markets X Xiao, J Wang, R Lin, DJ Hill, C Kang Applied Energy 271, 115159, 2020 | 48 | 2020 |
| Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search R Mao, B Wen, A Kazemi, Y Zhao, AF Laguna, R Lin, N Wong, M Niemier, ... Nature communications 13 (1), 6284, 2022 | 35 | 2022 |
| Deformable Butterfly: A Highly Structured and Sparse Linear Transform R Lin, J Ran, KH Chiu, G Chesi, N Wong Advances in Neural Information Processing Systems 34, 16145-16157, 2021 | 19 | 2021 |
| EZCrop: Energy-Zoned Channels for Robust Output Pruning R Lin, J Ran, D Wang, KH Chiu, N Wong Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 9 | 2022 |
| FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation C Tao, R Lin, Q Chen, Z Zhang, P Luo, N Wong arXiv preprint arXiv:2102.07444, 2021 | 8 | 2021 |
| PECAN: A Product-Quantized Content Addressable Memory Network J Ran, R Lin, JCL Li, J Zhou, N Wong 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 6 | 2023 |
| Hotcake: Higher order tucker articulated kernels for deeper CNN compression R Lin, CY Ko, Z He, C Chen, Y Cheng, H Yu, G Chesi, N Wong 2020 IEEE 15th International Conference on Solid-State & Integrated Circuit …, 2020 | 6 | 2020 |
| MiSC: mixed strategies crowdsourcing CY Ko, R Lin, S Li, N Wong arXiv preprint arXiv:1905.07394, 2019 | 6 | 2019 |
| Frequency Regularization for Improving Adversarial Robustness B Huang, C Tao, R Lin, N Wong arXiv preprint arXiv:2212.12732, 2022 | 5 | 2022 |
| Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks J Ran, R Lin, HKH So, G Chesi, N Wong 2020 25th International Conference on Pattern Recognition (ICPR), 9866-9873, 2021 | 4 | 2021 |
| FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations C Tao, R Lin, Q Chen, Z Zhang, P Luo, N Wong IEEE Transactions on Neural Networks and Learning Systems, 2022 | 3 | 2022 |
| What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study B Huang, C Tao, R Lin, N Wong arXiv preprint arXiv:2203.08739, 2022 | 3 | 2022 |
| FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation Y Cheng, R Lin, P Zhen, T Hou, CW Ng, HB Chen, H Yu, N Wong Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 2 | 2022 |
| BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing Y Ren, R Lin, J Ran, C Liu, C Tao, Z Wang, C Li, N Wong 2021 IEEE 14th International Conference on ASIC (ASICON), 1-4, 2021 | 2 | 2021 |
| Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion R Lin, C Chen, N Wong 2022 26th International Conference on Pattern Recognition (ICPR), 259-265, 2022 | 1 | 2022 |
| Improving Adversarial Robustness via Frequency Regularization B Huang, C Tao, R Lin, N Wong | | 2023 |
| Lightweight CNNs Under A Unifying Tensor View JCL Li, R Lin, J Zhou, EY Lam, N Wong | | |
