2024
A. Chan, A. Wheeldon, R. Shafik and A. Yakovlev, “Design of Event-Driven Tsetlin Machines Using Safe Petri Nets.”,” in “International Conference on Applications and Theory of Petri Nets and Concurrency”, pp. 357-378, 2024.
Z. Que, M. Zhang, H. Fan, H. Li, C. Guo and W. Luk, “Low Latency Variational Autoencoder on FPGAs,” in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 14, no. 2, pp. 323-333, 2024.
Q. Wang, Z. Que and W. Luk, “Trustworthy Codesign by Verifiable Transformations,” 2024 IEEE International Test Conference in Asia (ITC-Asia), pp. 1-6, 2024.
– C. Guo, H. Wu, and W. Luk, “Resource-Constraint Bayesian Optimization for Soft Processors on FPGAs”, Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, pp. 27-36, 2024.
– Z. Zhang, H. Fan,H. Chen, L. Dudziak,and W. Luk, “Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA”, Proceedings of the 61st ACM/IEEE Design Automation Conference, article no. 301, 2024.
– J. Vandebon, J. G. Coutinho and W. Luk, “Auto-Generating Diverse Heterogeneous Designs,” IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 116-123, 2024.
2025
S. Abbas, R. Shafik, N. Soomro, R. Heer and K. Adhikari, “AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses”, Frontiers in Oncology, Vol 14, 2025.
S. Duan, R. Shafik and A. Yakovlev, “ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine.”, arXiv preprint arXiv:2502.05640, 2025.
G. Mao, T. Rahman, S. Maheshwari, B. Pattison, Z. Shao, and R. Shafik, “Dynamic Tsetlin Machine Accelerators for On-Chip Training Using FPGAs”, IEEE Transactions on Circuits and Systems, pp 1-14, 2025.
C. Xu, S. Duan, R. Shafik and A. Yakovlev, “Recurrent Tsetlin Machine for Sequence Learning,” 2025 International Symposium on the Tsetlin Machine (ISTM), Rome, Italy, 2025, pp. 102-106
Y. Zeng, S. Duan, R. Shafik and A. Yakovlev, “Fast and Compact Tsetlin Machine Inference on CPUs Using Instruction-Level Optimization,” 2025 International Symposium on the Tsetlin Machine (ISTM), Rome, Italy, 2025, pp. 44-47
Angus T. L. Leung, Ce Guo, and Wayne Luk. 2025. FABS: An Extensible and High-Performance Digital Twin Framework of AI-Driven Financial Systems. Proceedings of the 6th ACM International Conference on AI in Finance. Association for Computing Machinery, New York, NY, USA, 27–34.
A. Gorbenko et al., “Using Tsetlin Machine for Decoding, Visualization and Minimization of Local Immune Fingerprints in Peritoneal Dialysis Infections,” 2025 International Symposium on the Tsetlin Machine (ISTM), Rome, Italy, 2025, pp. 132-139.