From Arithmetic to Logic based AI: A Comparative Analysis of Neural Networks and Tsetlin Machine. - Jie Lei 007; Adrian Wheeldon; Rishad A. Shafik; Alex Yakovlev; Ole-Christoffer Granmo (ICECS, 2020)

A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Rishad A. Shafik; Alex Yakovlev; Adrian Wheeldon; Jie Lei 007; Morten Goodwin (SGAI Conf., 2020)

Low-Power Audio Keyword Spotting using Tsetlin Machines. - Jie Lei 007; Tousif Rahman; Rishad A. Shafik; Adrian Wheeldon; Alex Yakovlev; Ole-Christoffer Granmo; Fahim Kawsar; Akhil Mathur (CoRR, 2021)

Logic-based intelligence for batteryless sensors. - Abu Bakar; Tousif Rahman; Alessandro Montanari; Jie Lei 007; Rishad A. Shafik; Fahim Kawsar (HotMobile, 2022)

Towards Benchmarking GNSS Algorithms on FPGA using SyDR. - Antoine Grenier; Hans Jakob Damsgaard; Jie Lei 007; Enrique S. Quintana-Ortí; Aleksandr Ometov; Elena Simona Lohan; Jari Nurmi (ICL-GNSS, 2023)

Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal. - Jie Lei 007; José Flich; Enrique S. Quintana-Ortí (PDP, 2023)

GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal. - Jie Lei 007; Héctor Martínez 002; José Flich; Enrique S. Quintana-Ortí (ISC High Performance (Workshops), 2023)

A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Rishad A. Shafik; Lei Jiao 001; Adrian Wheeldon; Alex Yakovlev; Jie Lei 007; Morten Goodwin (Expert Syst. J. Knowl. Eng., 2023)

Mapping Parallel Matrix Multiplication in GotoBLAS2 to the AMD Versal ACAP for Deep Learning. - Jie Lei 007; Enrique S. Quintana-Ortí (PECS@HPDC, 2024)

Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms. - Antoine Grenier; Jie Lei 007; Hans Jakob Damsgaard; Enrique S. Quintana-Ortí; Aleksandr Ometov; Elena Simona Lohan; Jari Nurmi (Sensors, 2024)

Portable, High Performance Matrix Multiplication Micro-Kernels for RISC-V with ExO. - Adrián Castelló 001; Héctor Martínez 002; Sandra Catalán; Jie Lei 007; Yuka Ikarashi; Grace Dinh; Francisco D. Igual; Enrique S. Quintana-Ortí (PDP, 2025)

Enabling RISC-V Vector Code Generation in MLIR through Custom xDSL Lowerings. - Jie Lei 007; Héctor Martínez 002; Adrián Castelló 001 (CoRR, 2026)

Enhancing transformer performance and portability through auto-tuning frameworks. - Patricia Siwinska; Jie Lei 007; Adrián Castelló 001; Pedro Alonso-Jordá; Enrique S. Quintana-Ortí (J. Supercomput., 2026)