Anna M. Krol, Zaid Al-Ars (2024), Beyond quantum Shannon decomposition: Circuit construction for n -qubit gates based on block- ZXZ decomposition, In Physical Review Applied Volume 22.

Mengfei Ji, Zaid Al-Ars, Yuchun Chang, Baolin Zhang (2024), Fully Pipelined FPGA Acceleration of Binary Convolutional Neural Networks with Neural Architecture Search, In Journal of Circuits, Systems and Computers Volume 33.

Casper Cromjongh, Yongding Tian, H. Peter Hofstee, Zaid Al-Ars (2024), Hardware-Accelerator Design by Composition: Dataflow Component Interfaces with Tydi-Chisel, In IEEE Transactions on Very Large Scale Integration (VLSI) Systems Volume 32 p.2281-2292.

Mees Frensel, Zaid Al-Ars, H. Peter Hofstee (2024), Learning Structured Sparsity for Efficient Nanopore DNA Basecalling Using Delayed Masking, In BCB '24, ACM.

Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert Jan Van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh (2024), SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems, In International Joint Conference on Neural Networks (IJCNN), IEEE.

Christiaan Boerkamp, Steven van der Vlugt, Zaid Al-Ars (2024), Tina: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators, In Proceedings of the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE.

T.O. Mokveld, Z. Al-Ars, Erik A. Sistermans, M.J.T. Reinders (2023), A comprehensive performance analysis of sequence-based within-sample testing NIPT methods, In PLoS ONE Volume 18.

Matthijs A. Reukers, Yongding Tian, Zaid Al-Ars, Peter Hofstee, Matthijs Brobbel, Johan Peltenburg, Jeroen van Straten (2023), An Intermediate Representation for Composable Typed Streaming Dataflow Designs, In CEUR Workshop Proceedings.

Yongding Tian, Zhuoran Guo, Jiaxuan Zhang, Zaid Al-Ars (2023), DFL: High-Performance Blockchain-Based Federated Learning, In Distributed Ledger Technologies: Research and Practice Volume 2 p.1-25.

M. Ji, Z. Al-Ars, H.P. Hofstee, Yuchun Chang, Baolin Zhang (2023), FPQNet: Fully Pipelined and Quantized CNN for Ultra-Low Latency Image Classification on FPGAs Using OpenCAPI, In Electronics (Switzerland) Volume 12.