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Boosting Organic–Metal Oxide Heterojunction via Conjugated Small Molecules for Efficient and Stable Nonfullerene Polymer Solar Cells, , , , , , , , and . Advanced Energy Materials, (July 2019)FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations., , , , , and . CoRR, (2020)Dopant-Free Hole-Transporting Material with a C3h Symmetrical Truxene Core for Highly Efficient Perovskite Solar Cells, , , , , , , , and . Journal of the American Chemical Society, 138 (8): 2528-2531 (2016)PMID: 26876042.Highly Efficient Sn/Pb Binary Perovskite Solar Cell via Precursor Engineering: A Two-Step Fabrication Process, , , , , , , , , and . Advanced Functional Materials, (2019)A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs., , , , , , , and . FPGA, page 185. ACM, (2024)Formal Verification of Source-to-Source Transformations for HLS., , , , , , and . FPGA, page 97-107. ACM, (2024)High‐Performance Thickness Insensitive Perovskite Solar Cells with Enhanced Moisture Stability, , , , , , , , , and . Advanced Energy Materials, (June 2018)HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs., , , , , , and . FPGA, page 78-88. ACM, (2022)Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training., , , , , and . ASPLOS (2), page 1095-1111. ACM, (2024)A Deep-Reinforcement-Learning-Based Scheduler for High-Level Synthesis., and . FPGA, page 117. ACM, (2019)