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Minghu Song
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2020 – today
- 2023
- [c4]Blake B. Gaines, Minghu Song, Jinbo Bi:
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. IEEE Big Data 2023: 510-515 - 2021
- [j6]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: 12-25 (2021) - [c3]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: 85-92 - [c2]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: 1-7 - [i2]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 abs/2108.04811 (2021) - [i1]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 abs/2109.06355 (2021) - 2020
- [j5]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): 6167-6184 (2020)
2010 – 2019
- 2019
- [c1]Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song:
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM 2019: 330-333 - 2016
- [j4]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song:
Multiplicative Multitask Feature Learning. J. Mach. Learn. Res. 17: 80:1-80:33 (2016)
2000 – 2009
- 2006
- [j3]Minghu Song, Matthew Clark:
Development and Evaluation of an in Silico Model for hERG Binding. J. Chem. Inf. Model. 46(1): 392-400 (2006) - 2003
- [j2]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: 1229-1243 (2003) - 2002
- [j1]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): 1347-1357 (2002)
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