| 2025 | CVPR | MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks. | Zeqi Zhu, Ibrahim Batuhan Akkaya, Luc Waeijen, Egor Bondarev, Arash Pourtaherian, Orlando Moreira |
| 2024 | ECCV | ELSE: Efficient Deep Neural Network Inference Through Line-Based Sparsity Exploration. | Zeqi Zhu, Alberto Garca-Ortiz, Luc Waeijen, Egor Bondarev, Arash Pourtaherian, Orlando Moreira |
| 2024 | WACV | CATS: Combined Activation and Temporal Suppression for Efficient Network Inference. | Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Ibrahim Batuhan Akkaya, Egor Bondarev, Orlando Moreira |
| 2023 | CVPR | STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration. | Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Egor Bondarev, Orlando Moreira |
| 2022 | DSD | ARTS: An adaptive regularization training schedule for activation sparsity exploration. | Zeqi Zhu, Arash Pourtaherian, Luc Waeijen, Lennart Bamberg, Egor Bondarev, Orlando Moreira |
| 2021 | SCOPES | How to exploit sparsity in RNNs on event-driven architectures. | Jarno Brils, Luc Waeijen, Arash Pourtaherian |
| 2019 | FPL | Blocks: Redesigning Coarse Grained Reconfigurable Architectures for Energy Efficiency. | Mark Wijtvliet, Jos Huisken, Luc Waeijen, Henk Corporaal |
| 2018 | DSD | Datawidth-Aware Energy-Efficient Multipliers: A Case for Going Sign Magnitude. | Luc Waeijen, Hailong Jiao, Henk Corporaal, Yifan He |
| 2016 | DSD | Code Generation for Reconfigurable Explicit Datapath Architectures with LLVM. | Michael Adriaansen, Mark Wijtvliet, Roel Jordans, Luc Waeijen, Henk Corporaal |
| 2016 | DSD | MacSim: A MAC-Enabled High-Performance Low-Power SIMD Architecture. | Tong Geng, Luc Waeijen, Maurice Peemen, Henk Corporaal, Yifan He |
| 2016 | DSD | Multi-granular Arithmetic in a Coarse-Grain Reconfigurable Architecture. | Stef Louwers, Luc Waeijen, Mark Wijtvliet, Ruud Koolen, Henk Corporaal |
| 2014 | DAC | Reduction Operator for Wide-SIMDs Reconsidered. | Luc Waeijen, Dongrui She, Henk Corporaal, Yifan He |