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Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper).

, , , , , , , , , , , and . ICCAD, page 1-7. IEEE, (2021)

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Hardware/Software Co-Exploration of Neural Architectures., , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (12): 4805-4815 (2020)Contour: A Process Variation Aware Wear-Leveling Mechanism for Inodes of Persistent Memory File Systems., , , , , and . IEEE Trans. Computers, 70 (7): 1034-1045 (2021)Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators., , , , , , and . IEEE Trans. Computers, 70 (4): 595-605 (2021)Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs., , , , and . ISVLSI, page 358-362. IEEE, (2022)One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search., , , , and . SIGMETRICS (Abstracts), page 55-56. ACM, (2022)VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing., , , , and . CoRR, (2022)All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management., , , , , , , , and . ICCAD, page 133:1-133:9. ACM, (2022)Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration., , , , , and . QCE, page 848-858. IEEE, (2023)Towards the design of efficient hash-based indexing scheme for growing databases on non-volatile memory., , , , , and . Future Gener. Comput. Syst., (2020)On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond., , , , , , , , and . ICCD, page 290-297. IEEE, (2022)