Minghu Song

According to our database, Minghu Song authored at least 18 papers between 2002 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Autoregressive Contrastive Learning.

Xinyu Wang, Fei Dou, Jinbo Bi, Minghu Song

CoRR, March, 2026

CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.

Oleksandra Herasymenko, Madhushika Silva, Galen J. Correy, Abd Al-Aziz A. Abu-Saleh, Suzanne Ackloo, Cheryl H. Arrowsmith, Alan Ashworth, Fuqiang Ban, Hartmut Beck, Kevin P. Bishop, Hugo J. Bohórquez, Albina Bolotokova, Marko Breznik, Irene Chau, Yu Chen, Artem Cherkasov, Wim Dehaen, Dennis Della Corte, Katrin Denzinger, Niklas Piet Doering, Kristina Edfeldt, Aled M. Edwards, Darren Fayne, Francesco Gentile, Elisa Gibson, Ozan Gökdemir, Anders Gunnarsson, Judith Guenther, John J. Irwin, Jan Halborg Jensen, Rachel J. Harding, Alexander Hillisch, Laurent Hoffer, Anders Hogner, Ashley Hutchinson, Shubhangi Kandwal, Andrea Karlova, Kushal Koirala, Sergei Kotelnikov, Dima Kozakov, Juyong Lee, Soowon Lee, Uta F. Lessel, Sijie Liu, Xuefeng Liu, Peter Loppnau, Jens Meiler, Rocco Moretti, Yurii S. Moroz, Charuvaka Muvva, Tudor I. Oprea, Brooks Paige, Amit Pandit, Keunwan Park, Gennady Poda, Mykola V. Protopopov, Vera Pütter, Rahul Ravichandran, Didier Rognan, Edina Rosta, Yogesh Sabnis, Thomas Scott, Almagul Seitova, Purshotam Sharma, François Sindt, Minghu Song, Casper Steinmann, Rick Stevens, Valerij Talagayev, Valentyna V. Tararina, Olga O. Tarkhanova, Damon Tingey, John F. Trant, Dakota Treleaven, Alexander Tropsha, W. Patrick Walters, Jude Wells, Yvonne Westermaier, Gerhard Wolber, Lars Wortmann, Shuangjia Zheng, James S. Fraser, Matthieu Schapira

J. Chem. Inf. Model., 2026

VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing.

Peining Zhang, Jinbo Bi, Minghu Song

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing.

Peining Zhang, Jinbo Bi, Minghu Song

CoRR, November, 2025

Unraveling the Potential of Diffusion Models in Small Molecule Generation.

Peining Zhang, Daniel Baker, Minghu Song, Jinbo Bi

CoRR, July, 2025

Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks.

Xin Wang, Jinbo Bi, Minghu Song

CoRR, May, 2025

2023

Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints.

Blake B. Gaines, Minghu Song, Jinbo Bi

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Multi-view spectral graph convolution with consistent edge attention for molecular modeling.

Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi

Neurocomputing, 2021

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.

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

CoRR, 2021

Binary Complex Neural Network Acceleration on FPGA.

Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding

CoRR, 2021

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

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Binary Complex Neural Network Acceleration on FPGA : (Invited Paper).

Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search.

Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloé Becquey, Jinbo Bi

J. Chem. Inf. Model., 2020

2019

Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing.

Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2016

Multiplicative Multitask Feature Learning.

Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song

J. Mach. Learn. Res., 2016

2006

Development and Evaluation of an in Silico Model for hERG Binding.

Minghu Song, Matthew Clark

J. Chem. Inf. Model., 2006

2003

Dimensionality Reduction via Sparse Support Vector Machines.

Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song

J. Mach. Learn. Res., 2003

2002

Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression.

Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu

J. Chem. Inf. Comput. Sci., 2002