The Precise Complexity of Reasoning in $ALC$ with $ømega$-Admissible Concrete Domains. In Laura Giordano, Jean Christoph Jung, and Ana Ozaki (Eds.), Proceedings of the 37th International Workshop on Description Logics (DL'24), (3739)CEUR-WS, Bergen, Norway, 2024. [PUMA: myown]
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models. In Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen (Eds.), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 11987--12004, Association for Computational Linguistics, Miami, Florida, USA, November 2024. [PUMA: active_learning llms myown self_training text_classification] URL
BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators. 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 220-220, 2024. [PUMA: hardware multiplier myown quantization systolic]
High-Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers. IEEE Embedded Systems Letters, (15)4:194-197, 2023. [PUMA: FPGA Hardware Multi-precision Multiplier Quantization myown]
NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs. 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 85-92, 2023. [PUMA: Accelerator FPGA Quantization Reconfiguration myown]