Minghu Song

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 9

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Publications

Blake B. Gaines, Minghu Song, Jinbo Bi
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. BigData (2023)
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Binary Complex Neural Network Acceleration on FPGA. CoRR (2021)
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD (2021)
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR (2021)
Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi
Multi-view spectral graph convolution with consistent edge attention for molecular modeling. Neurocomputing 445 (2021)
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). ASAP (2021)
Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloé Becquey, Jinbo Bi
Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search. J. Chem. Inf. Model. 60 (12) (2020)
Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM (2019)
Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song
Multiplicative Multitask Feature Learning. J. Mach. Learn. Res. 17 (2016)
Minghu Song, Matthew Clark
Development and Evaluation of an in Silico Model for hERG Binding. J. Chem. Inf. Model. 46 (1) (2006)
Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song
Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. 3 (2003)
Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu
Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. J. Chem. Inf. Comput. Sci. 42 (6) (2002)